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The Yu Laboratory in the Department of Pharmacology and Therapeutics at Columbia University Irving Medical Center (CUIMC) is seeking a highly motivated scientist for a Research-Track Assistant Professor (Non-Tenure Track) position. The successful candidate will work closely with Dr. Yonghao Yu to help lead the laboratory's research program, mentor trainees, and contribute to the strategic and administrative direction of the lab. KEY RESPONSIBILITIES
- Supervise and mentor graduate students and postdoctoral fellows on a day-to-day basis, including experimental design, data interpretation, and career development.
- Play a central role in the preparation, writing, and submission of grant proposals (e.g., NIH R01/R21, foundation, and fellowship applications) to sustain and grow lab funding.
- Organize and coordinate the research activities of the laboratory, including project planning, resource allocation, and lab management.
- Contribute new ideas and help shape future research directions for the laboratory, in areas spanning genome stability, replication stress and cancer biology.
- Design, execute, and interpret experiments related to the laboratory's core research programs, and represent the laboratory's work through publications and presentations at scientific meetings.
QUALIFICATIONS
Minimum Qualifications:- Ph.D. in genetics, molecular biology, or cell biology.
- Demonstrated expertise in genome stability, replication stress and cancer biology.
- Background in the study of the mechanisms by which cells respond to DNA damage and replication stress is strongly preferred.
- Solid record of first-author publications in peer-reviewed journals, commensurate with career stage.
- Prior experience mentoring junior researchers and/or contributing to grant writing is highly desirable.
- Strong communication skills and the ability to work collaboratively in a team-oriented research environment.
HOW TO APPLY
Apply online: https://apply.interfolio.com/194888
![[Photo]](https://www.bioinformatics.org/images/photo.php?photo_id=55163)
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Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!
OVERVIEW:
The DNA Diagnostics Laboratory is a CLIA-certified, CAP-accredited clinical genetics laboratory in the Department of Genetics at Yale School of Medicine. Sitting inside an academic medical center, we work in close contact with the clinicians we serve, which shapes how we interpret, report, and follow up on every case. Accuracy, turnaround, and patient care drive everything we do. In addition, collaboration with basic science faculty in grant-supported research is a regular function of the lab.
You will work alongside physician-scientists and laboratory directors in an academic medical center, with real latitude to shape how the laboratory's diagnostic capabilities develop. The role offers exposure to a wide variety of clinical case types and cutting-edge clinical and translational research across the Department of Genetics and the wider Yale School of Medicine.
GENERAL ACTIVITIES:- Provide ongoing support and maintenance for clinical bioinformatics systems and pipelines for processing high-complexity human genetic data, ensuring operational stability, accuracy, and efficiency.
- Work closely with clinical stakeholders to define, design, and deploy enhancements and new system capabilities based on user feedback and evolving clinical requirements.
- Ensure all production updates and improvements comply with regulatory and quality standards (CLIA, CAP, etc.) and are appropriately documented and validated.
- Submit the lab's variant classifications to the ClinVar database.
- Develop a Clinical Genomic Data Repository that places de-identified whole-exome and whole genome data into a platform that can be queried by collaborating research scientists. Serve as the point person for requests for data.
- Develop a relational database for maintaining gene lists and update the database with help from genetic counselors and directors.
- Translate R&D innovations in long-read sequencing and RNAseq into production-ready tools for clinical diagnostics.
- Develop an automated pipeline that updates classification of previously reported variants and alerts the referring health care provider of any change in variant classification.
- Develop and validate bioinformatic tools for detecting mosaicism, including both SNVs and CNVs/chromosomal gains and losses.
- Other projects as directed.
REQUIRED SKILLS AND ABILITIES:
1. Proven experience in bioinformatics, computational genomics, or computational biology, including hands-on work with large-scale NGS datasets.
2. Exceptional attention to detail, the judgment to own your work while supporting a team that depends on one another.
3. Demonstrated ability to drive several projects forward at once.
PREFERRED SKILLS AND ABILITIES:
1. PhD degree in a related field such as chemistry, biology, biochemistry, computer science or bioinformatics with additional years of experience or equivalent education and experience.
2. Demonstrated experience in designing and building internal data dashboards to track operational workflows, laboratory throughput, and key performance indicators (KPIs).
3. Familiarity with bioinformatics, statistical methods for analyzing data, and troubleshooting technical issues.
4. Web expertise to update and revamp the laboratory website, ensuring it includes current test information, up-to-date gene panels, and other relevant resources to help referring healthcare providers understand the full range of the laboratory's capabilities.
PRINCIPAL RESPONSIBILITIES:
1. Manages the daily activities of a research resource laboratory. Oversees the scheduling, use, and availability of instrumentation, supplies, and specialized work areas. 2. Carries out biotechnology research design, develop, and modify procedures and instrument operating programs. 3. Develops, interprets, and analyzes the results of biotechnological analyses and/or syntheses. 4. Investigates, analyzes, and evaluates alternative instrumentation, methodologies and techniques to maintain a state-of-the-art biotechnology resource laboratory. 5. Recommends and develops new protocols and initiates and adapts new techniques to resolve problems. 6. Conducts research to determine the feasibility and scope of providing new/revised services. Develops and evaluates new techniques and equipment. 7. Prepares budgets and reports pertaining to laboratory costs and income. 8. Determines and establishes policies and procedures on laboratory safety consistent with University safety regulations. 9. May perform other duties as assigned.
REQUIRED EDUCATION AND EXPERIENCE:
Master's Degree in chemistry, biology, biochemistry, or other related discipline and three years of experience or an equivalent combination of experience and education.
HOW TO APPLY:
To apply, visit https://apptrkr.com/9864165
ADDITIONAL INFORMATION:
Job Posting Date: 09/28/2026
Job Category: Professional
Bargaining Unit: NON
Compensation Grade: Clinical & Research
Compensation Grade Profile: Biotechnology Associate 2 (24)
Salary Range: $68,000.00 - $120,500.00
Time Type: Full time
Duration Type: Staff
Work Model: On-site
Background Check Requirements:
All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.
Health Requirements:
Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.
Posting Disclaimer:
Salary offers are determined by a candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's grade profile and current internal and external market conditions.
The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Inquiries concerning https://your.yale.edu/policies-procedures/policies/9000-yale-university-policy-against-discrimination-and-harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).
Note:
Yale University is a tobacco-free campus.
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DESCRIPTION
The Laboratory for Genomics of Long Noncoding RNA and Disease (GOLD Lab) is recruiting three postdoctoral researchers for a new ERC-funded programme applying directed evolution for the first time to long noncoding RNAs. The goal is to develop a deeper understanding of their molecular mechanisms and to engineer RNAs as a new class of therapeutic for liver disease.
You will lead your own research area within a diverse, well-resourced team, and develop expertise at the intersection of RNA, evolution, genome editing and translational medicine. The project benefits from a team of world leading international collaborators.
We are looking for ambitious, independent researchers with a PhD and strong track record in one or more of:- Directed evolution
- Bio engineering
- RNA biology
- Genome editing
- Computational genomics, evolutionary biology, fitness landscapes, or machine learning for biological sequences
TERMS
Positions are fully funded for up to 5 years with competitive salary.
Start: March 2027 or soon after.LOCATION
University College Dublin, Ireland.MORE ABOUT US
We at GOLD Lab love to study lncRNAs and exploit them for medicine. We employ an interdisciplinary wet/dry approach and develop new methods based on genome-editing. We work closely with leading international consortia and collaborators. Our core values are love of science, respect for each other, team work and rigorous thinking. See our website at https://gold-lab.orgHOW TO APPLY
Send a brief email outlining your relevant experience and motivation, telling us where you saw our advert, with attached CV, to rory.johnson[at]ucd.ie with subject line "REVOLVER PD". Applications will be accepted on a rolling basis until positions are filled (check our website).
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DESCRIPTION
The Department of Comparative Development and Genetics at the Max Planck Institute for Plant Breeding Research (MPIPZ) in Cologne is seeking to fill
2 x Research Support positions (m/f/d)
to contribute to our daily laboratory work on mechanisms underlying plant development and diversity. The successful applicants will work in close collaboration with experienced research technicians and scientists at different levels and they will cultivate and characterize developmental traits in plant strains derived from mutagenesis and wild collections as well as transgenic plants. They will also be involved in generation of new transgenic plants. Experience in molecular biology (genomic DNA extraction, PCR, cloning), and in handling and cultivating plants, as well as experience with plant genetics is essential (further information on our research: https://www.mpipz.mpg.de/tsiantis). Experience working with Arabidopsis, including the generation of transgenic plants and CRISPR/Cas mutants, is a strong asset. Experience with single cell approaches is also of interest. Additional tasks will involve maintaining lab genetic collections, preparing culture media and assisting in organizing and daily running of an S1 lab. The level of independent work and responsibility will depend on qualifications.YOUR PROFILE
Successful candidates will have completed professional training as either a research technician with first professional experience, or as a biology graduate (B.Sc. in plant genetics or an equivalent discipline) with work experience or an additional educational qualification. We are searching for highly motivated candidates with an organized working style and highly developed teamwork skills. Applicants should be enthusiastic about scientific research in an international environment. Excellent documentation skills, computer literacy (Microsoft Office, Electronic lab book applications) as well as fluent English are required.WHAT WE OFFER
We offer stimulating and multi-faceted positions (full-time employment) in a friendly and international environment. Payment and benefits are according to the German TVöD and will depend on experience, knowledge and qualifications. The positions are for one year, starting as early as possible and no later than February 2027, with the possibility of renewal.
Applications in English can be sent through the online system, by latest November 20th, 2026, as a single PDF file and should include a short letter of motivation explaining how the applicant's profile and aspirations fit with the job requirements, a brief CV, and the name and contact details of one referee. The first evaluation of applications will take place after the deadline. Only shortlisted candidates will be contacted.
The Max Planck Society is one of the leading research organizations in Europe. We offer challenging tasks with a high degree of personal responsibility and creative freedom in research laboratories, workshops, libraries and administration.
The Max Planck Society strives to increase employment of severely disabled people. Applications from severely disabled people are expressly encouraged.
Furthermore, the Max Planck Society wants to increase the proportion of women in areas where they are underrepresented. Women are therefore expressly encouraged to apply.
The Little Pumpkins Parents' Association offers childcare for children under the age of 3 at the MPIPZ.
It is possible to apply for a low-cost Germany job ticket with a subsidy from the Institute. The institute also has a rental bike station run by the provider nextbike, as well as the possibility of using rental scooters from various providers.HOW TO APPLY
Interested candidates, please upload your complete application documents, including your preferred starting date.
Have we sparked your interest?
Please apply. We are looking forward to getting your complete application documents.
Website: http://www.mpipz.mpg.de
![[Photo]](https://www.bioinformatics.org/images/photo.php?photo_id=54542)
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DESCRIPTION
The School of Biological Sciences (https://biology.ucsd.edu), Department of Molecular Biology, hereby announces a search for a tenure-track faculty position at the Assistant Professor level in the field of Molecular Biology. We seek candidates who develop or apply computational methods to address fundamental questions in molecular biology, particularly those who integrate computational and experimental approaches through hybrid wet-dry research programs. Candidates working on cutting-edge questions related to gene regulatory mechanisms and other processes underlying the central dogma, and how they control biological processes are encouraged to apply. Computational approaches may range from advanced quantitative analyses, to bioinformatics approaches, to AI/ML-based genomic analyses.
Required faculty responsibilities include developing an excellent research program supported by extramural funding, teaching undergraduate and graduate students, and participating in service activities.
The School of Biological Sciences at UC San Diego brings together exceptional breadth in biological research in a highly collaborative community. Our faculty pursue fundamental discoveries across scales, from molecules and cells to organisms and ecosystems, while developing and applying technologies that are transforming biology. With outstanding graduate and undergraduate programs, state-of-the-art research capabilities, and deep connections across San Diego's scientific institutions, the School offers an outstanding environment for research, education, and innovation.BASIC QUALIFICATIONS
- At the time of application, applicants must hold a PhD in Biology or a related field.
- Qualified candidates should document at least two concrete goals for their planned scholarly and creative activities in their statement of professional activities.
- Qualified candidates will have at least three publications or preprints that demonstrate research experience and/or experience relevant to their planned scholarly activities.
- Qualified candidates will have demonstrated potential to contribute effectively to the undergraduate and/or graduate educational programs of the School of Biological Sciences and to support students' educational and academic success, as evidenced by relevant teaching, mentoring, training, or outreach experience.
SALARY
A reasonable salary range estimate for this position is $132,100-$150,800.
The posted UC Academic salary scales set the minimum pay as determined by rank and/or step at appointment. See the following table for the salary scale for this position https://www.ucop.edu/academic-personnel-programs/_files/2026-27/policy-covered-oct-2026-scales/t1.pdf
The base salary range from the salary table for this position is $84,100-$108,00.
"Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience.
Additional UCSD salary information can be found here: https://aps.ucsd.edu/compensation/apo-salary.htmlHOW TO APPLY
Review Date:
Review of applications will commence October 13 and will continue until position is filled.
Requirements:
Interested applicants must submit a cover letter, curriculum vitae, statement of research, statement of teaching, and 3-5 publications, and 3-5 references.
To Apply:
Applications must be submitted through the University of California San Diego's Academic Personnel Recruit System: https://apol-recruit.ucsd.edu/JPF04606
Further details about the required application material can be found at: http://biology.ucsd.edu/jobs/apply-lrf-lsoe.html
![[Photo]](https://www.bioinformatics.org/images/photo.php?photo_id=41135)
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RESPONSIBILITIES
- Significant understanding of Immunology, Oncology, Cardiovascular Diseases.
- Identify and implement state-of-the-art statistical methods for data exploration, visualization, analysis, and integration of cancer genomics/epi-genomics, and other forms of high-dimensional - omics data for patient clinical outcomes
- Develop and implement computational pipelines using Python, R, Bash, and AWS to analyze NGS data (RNAseq, WES, WGS, MRD, ctDNA, CRISPR) for tasks like tumor load distribution, MRD status, immune cell analysis, and variant calling
- Substantial experience in analyzing WES, RNA-seq, and ctDNA datasets
- Evaluate the performance of NGS assays (sensitivity, accuracy, concordance)
- Utilize machine learning and statistical analysis to identify clinically relevant insights from NGS data, including associations between gene expression, IHC markers, immune cell populations, and clinical outcomes
- Develop and evaluate performance of existing or new assays through statistical inferences
- Interpret quality control data metrics in NGS methodology and communicate effectively with the team and the respective stakeholders
- The individual to work closely with the laboratory teams while supporting analysis of external vendor evaluations and pilot studies
- Collaborate closely with others on translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data
- Excellent written and oral communication skills, including an ability to converse with computational scientists, experimentalists, and clinicians.
- Familiarity with preclinical and clinical trial data analysis.
- Extensive experience analyzing and interpreting NGS data.
- Hands-on experience with relevant public domain data sets including 1KG, Exac, GnomAD, and TCGA.
- Fluency with cloud and Linux based high performance compute environments, R/Bioconductor and reproducible research practices.
- Communicate effectively to build support for work and align with organization
REQUIREMENTS
- Ph.D. with 1-5 yrs experience.
- Expertise in algorithmic implementation, statistical programming, and data manipulation, using e.g., R or Python, and contemporary, open-source bioinformatics tools and database structures
- Solid grounding in statistical theory and familiarity with recent developments in statistics
- Skilled at working with large omics data sets (transcriptomic, genomic, proteomic, and/or epigenomic data) Understanding of cancer genomics and epi-genomics is required
- Proficient with high-performance computing environments like cloud computing (AWS)
- Working knowledge of workflow languages for example: CWL or Nextflow
- Working knowledge of web frameworks like R Shiny or Django
- Communicate effectively to build support for work and align with organization
PREFERENCES
- Expertise in algorithmic implementation, statistical programming, and data manipulation, using e.g., R or Python, and contemporary, open-source bioinformatics tools and database structures
- Solid grounding in statistical theory and familiarity with recent developments in statistics
- Skilled at working with large omics data sets (transcriptomic, genomic, proteomic, and/or epigenomic data) Understanding of cancer genomics and epi-genomics is required
LOCATION
Bangalore, IndiaHOW TO APPLY
Apply on the link https://careers.syngeneintl.com/job-invite/62355/
or
Email the CV to swetha.pawate[at]syngeneintl.comDEADLINE
24th Sep, 2026
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Full Time
POSITION SUMMARY:
The Simons Foundation's Informatics group, part of the Division of Autism and Neuroscience (A&N), is seeking an experienced Director or Senior Director of Research Software Engineering (RSE) to lead the design, development, and delivery of software systems that drive scientific discovery. This is a unique opportunity to shape how the research community accesses and works with some of the world's richest autism and neuroscience datasets, and to build the systems that define that experience.
Informatics stewards the scientific data produced by A&N research programs across their full lifecycle - from collection and processing to sharing and analysis. The Director of Research Software Engineering will play a central role in that mission, leading the engineering team responsible for the software systems that make that complex scientific data accessible and useful to the broader research community. The software this team builds serves as the primary interface between the foundation's rich scientific datasets (e.g., genomics, clinical, and neuroscience data) and the researchers who use them.
Reporting to the Vice President of Informatics, this role leads a team of software engineers and partners closely with other Informatics teams and A&N program staff to deliver software solutions to meet the needs of external researchers. The RSE Director is part of a broader Informatics leadership team that includes study systems engineering, bioinformatics, and product analytics - each responsible for distinct stages of scientific data. The RSE Director sets the technical direction for research software engineering, drives architectural decisions, and ensures that engineering efforts are aligned with the foundation's commitment to open science and data sharing. As part of the Informatics leadership team, they shape how AI is incorporated into A&N's research software and the broader researcher experience. They champion best practices across the software development lifecycle, and cultivate an engineering culture defined by rigor, collaboration, and a mission-driven purpose.
The ideal candidate brings an extensive software engineering background, experience building software that makes complex biological or genomic data accessible to research communities, a track record of managing and delivering complex software development projects, and a demonstrated ability to lead teams through complexity and ambiguity.
This is a full-time position based on-site at the Simons Foundation's New York City offices. Visit the Simons Foundation https://www.simonsfoundation.org/careers/ to learn more.
ESSENTIAL FUNCTIONS/RESPONSIBILITIES:- Technical Leadership & Strategy: In close coordination with the Vice President of Informatics, and as part of the Informatics leadership team, define and execute the long-term vision and strategy for researcher-facing software systems and the underlying data infrastructure, and help shape Informatics' AI strategy.
- Systems Ownership: Oversee the full-stack development and ongoing evolution of https://base.sfari.org, the foundation's primary platform for researcher data access, while leading the design and development of new systems that give researchers richer ways to explore and analyze A&N scientific datasets. This work spans the full stack, including data visualization, APIs, and data infrastructure.
- Technical Excellence: Drive Informatics-wide engineering standards (e.g., testing, documentation, code review, and security) across research software and ensure systems are reliable, maintainable, and scalable.
- Team Management: Manage, build, mentor, and scale a team of software engineers, drive adoption of modern engineering practices, and cultivate a team culture that values technical excellence, collaboration, and openness to new ideas.
- Cross-functional Partnership: Collaborate closely with other Informatics teams and A&N program staff to understand researcher needs and translate them into software solutions. This includes working with the Bioinformatics team on genomics data, the Study Systems Engineering team on clinical data, and the Product Analytics team to define scope, requirements, and delivery priorities.
- Project Oversight: Ensure the timely and high-quality delivery of software projects, maintaining visibility into progress, managing risks, and keeping stakeholders informed.
- Researcher Experience: Champion the needs of external researchers throughout the software development process, ensuring that systems are intuitive, well-documented, and grounded in how researchers work with scientific data.
- Open Science: Ensure that engineering decisions and system designs advance the foundation's commitment to open science, with FAIR data principles guiding how A&N scientific data is presented, shared, and made useful to the broader research community.
- Other: Perform other duties or tasks as assigned or required.
Education:- Bachelor's degree in Computer Science, Engineering, Bioinformatics, or a related field
- 12+ years of software engineering experience, with 7+ years in a leadership or management role
- Demonstrated ability to set technical vision, drive architectural decisions, and deliver complex, data-intensive software projects
- Proven experience leading full-stack software development teams, including modern web application development
- Experience building software for genomics or other data-intensive life sciences research contexts, with working knowledge of genomics data types and common bioinformatics tools and workflows
- Demonstrated ability to build and develop high-performing engineering teams, with a focus on technical rigor, mentorship, and growth
- Strong proficiency in Python and experience with Python-based web development, including frameworks such as Django
- Excellent communication skills, with the ability to engage technical and non-technical audiences, including senior leadership
- Strong cross-functional collaboration skills, with a track record of working effectively with non-engineering stakeholders to translate needs into software solutions
- Deep curiosity about science and a passion for building tools that empower scientific discovery
- Commitment to reproducibility, open science, and engineering excellence
- Advanced degree in Computer Science, Engineering, Bioinformatics, or a related field
- Expertise in bioinformatics, including experience with genomic data processing, analysis pipelines, and related computational methods
- Familiarity with AWS or other major cloud platforms
- Experience with high-performance computing (HPC) environments
- Please submit a resume and cover letter stating your interest in the position.
- The full-time annual compensation range for the Director level is $255,000-$275,000, depending on experience.
- The full-time annual compensation range for the Senior Director level is $275,000-$310,000, depending on experience.
- In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.
Our Commitment to Expanding Pathways to Science & Opportunities for All:
Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences. The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world. As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers.
The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law.
HOW TO APPLY:
To apply, visit https://apptrkr.com/7175175
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POSITION DESCRIPTION
Columbia University Irving Medical Center's Department of Molecular Pharmacology and Therapeutics invites applicants for a senior-level research position as an Associate Research Scientist. Candidates should have strong scientific and postdoctoral experience. Responsibilities will include running a vibrant research program, mentoring graduate students and postdocs, creating high-quality presentations, communicating with internal and external collaborators, and active participation in the Department's programs and activities. The Associate Research Scientist may oversee the work of more junior research staff and may direct the implementation of laboratory processes/protocols.
The Department of Molecular Pharmacology and Therapeutics in the Vagelos College of Physicians and Surgeons is focused on advancing biomedical research through the study of molecular genetics, chemical biology, and structural biology to identify specific and novel targets to modify the function of living systems and impact disease response. The Department bridges basic and clinical science, and the research of faculty members span such diverse problems as the identification of molecular signals that determine whether a cell lives or dies to the discovery of new drugs that control cardiac rhythm in heart disease; use of inducible pluripotent stems as drug screening platforms; the physiology and pharmacology of pain pathways; mechanistic studies of schizophrenia; x-ray crystallography of GABAB receptors and pharmacology and physiology of GABAA receptors.
Areas of research encompassed by the Department of Molecular Pharmacology and Therapeutics are broad and based on synergistic interactions between basic science and clinical research. The main research interests include Cancer Biology, Molecular Cardiology, Neuropharmacology, SignalTransduction, Structural and Chemical Pharmacology. Members of the department conduct research to improve understanding of the normal functioning of living systems, of the abnormalities of function that cause and result from disease or the toxic action of chemicals, and of the manner in which abnormal function can be modified or prevented by chemicals or other interventions.QUALIFICATIONS
Minimum Degree Required:
Ph.D., MD, or equivalent doctoral degree
Minimum Qualifications:
Applicants must have a Ph.D., M.D., or equivalent degree and at least two years of postdoctoral research.
Excellent communication and writing skills and ability to work as a member of a team.
Preferred Qualifications:
Strong project management skills and demonstrated mentoring skills with students and postdocs.COMPENSATION
Salary Range or Pay Grade:
$79,327-$110,000 a yearHOW TO APPLY
Apply online: https://apply.interfolio.com/185587
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Associate Research Scientist Columbia University in the City of New York: Columbia University Irving Medical Center: Vagelos College of Physicians and Surgeons: Institute for Cancer Genetics DESCRIPTION
The Institute for Cancer Genetics located at Columbia University Irving Medical Center (CUIMC) campus offers abundant learning opportunities in cancer research, data clubs, seminar series, journal clubs and university lectures.
The Associate Research Scientist will investigate how defects in DNA repair and DNA damage responses impact normal immune system development, lymphomagenesis, and treatment responses. The lab has developed cutting-edge technologies, including high-throughput translocation sequencing, sing cell-seq, multi-color flow-cytometry, CRISPR-based depletion and activation screens, high-content live-cell imaging, and a collection of over sixty-five unique mouse models, including the serial of mouse models expressing catalytically inactive ATM, ATR, DNA-PKcs, and now PARP1 and PARP2, which revealed unexpected structural function of DNA damage response factors. We invite committed young scientists to join us in the adventures.QUALIFICATIONS
The Associate Research Scientists position requires a PhD or equivalent doctoral degree plus three years of relevant work experience in molecular biology, genetics, cancer research, or related field.
Candidates must have a strong background in molecular and cancer biology, at least 3 years of postdoctoral research experience and a strong record of productive scientific research.
Incumbents will carry out experimental work on research projects established in liaison with individual laboratory PIs and perform experiments either independently or in collaboration with other lab members.
Excellent interpersonal and communication skills requiredSALARY RANGE OR PAY GRADE
$79,327-$110,000 a yearEQUAL EMPLOYMENT OPPORTUNITY STATEMENT
Columbia University is an Equal Opportunity Employer / Disability / VeteranPAY TRANSPARENCY DISCLOSURE
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.HOW TO APPLY
Apply online: https://apply.interfolio.com/183001
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BACKGROUND
We offer 30 fully funded PhD positions within a structured and interdisciplinary doctoral programme at a leading biomedical research institution. Doctoral candidates will be embedded in internationally competitive research groups and benefit from excellent supervision, advanced training, our tripple track system and access to state-of-the-art infrastructure.RESPONSIBILITIES
- Conduct independent scientific research within the selected PhD project
- Contribute to ongoing research activities and collaborations
- Analyse and interpret experimental data
- Present research findings at meetings and conferences
- Contribute to scientific publications
REQUIREMENTS
- Requirements may vary from project to project
- Completed Master's degree (or equivalent) in a relevant field
- Strong academic background
- Interest in interdisciplinary research
- Excellent English language skills
PREFERENCES
- Prior research experience (e.g. Master's thesis, internships, work)
- Experience with relevant laboratory or computational methods
- Strong organisational and communication skills
TERMS
- Part-time position (30 hours per week)
- Competitive salary in accordance with the Austrian collective agreement for university employees (Uni-KV), including health insurance and a pension scheme.
- No tuition fees for regular study time
- Fixed-term employment for three years (subject to project duration and funding)
- Structured PhD training programme with supervision and mentoring
LOCATION
Vienna, AustriaCOMPENSATION
Regarding collective agreement for universityHOW TO APPLY
Apply online: https://oc10.meduniwien.ac.at/open-phd-positions. You can only submit the application once two reference letters have been submitted in the online tool.DEADLINE
26.04.2026
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POSITION DESCRIPTION:
We are seeking a motivated Research Programmer / Computational Biologist to join the laboratory of Dr. Chaolin Zhang in the Department of Systems Biology at Columbia University Irving Medical Center (CUIMC).
The Zhang Laboratory takes a multidisciplinary approach that integrates biochemistry, molecular biology, genome engineering, high-throughput data analysis, and integrative modeling to study protein-RNA interaction, neuronal alternative splicing regulation and RNA-based precision medicine.
The Zhang Lab is a diverse, collaborative, and creative research environment committed to scientific rigor, innovation, and mentorship. More information can be found at: https://zhanglab.c2b2.columbia.edu
The successful candidate will participate in and lead projects focused on improving, extending, and sustaining genomic research software packages developed by our group, such as:- CLIP Tool Kit (CTK)
- Quantas
- DeltaSplice
The position emphasizes software engineering, user community engagement, and genomic data analysis in a dynamic and collaborative research environment. Strong mentorship will be provided to support the candidate's scientific and career development.
Specific responsibilities and duties will be as follow for each position title and grade (Staff Associate I, Staff Associate II, and Staff Associate III):
1. Functional Knowledge - For Staff Associate I & Staff Associate II: Algorithm development, software engineering, and computational genomics. For Staff Associate III: Algorithm development, software engineering, and computational genomics to a broader research.
2. Problem Solving - For Staff Associate I: Able to apply computer science and software engineering skills for problem solving. For Staff Associate II: Use computer science/software engineering skills to solve problems in moderate complex situations. For Staff Associate III: Use strong computer science/software engineering skills to solve problems in complex situations.
3. Decision Making/Autonomy - For Staff Associate I & Staff Associate II: Work independently and as part of a collabortive research team. Expected to show medium level of initiative and independent judgement. For Staff Associate III: Work independently and as part of a collabortive research team. Expected to show minimum level of initiative and independent judgement.
4. Technical Expertise - For Staff Associate I, Staff Associate II & Staff Associate III: Strong programming skills (Python and/or Perl preferred). Experience working in Linux/Unix environments, familiarity with version control systems.
5. Communication - For Staff Associate I: Strong communication skills. Collaborate with experimental and computational researchers. For Staff Associate II: Strong communication skills. Collaborate with experimental and computational researchers. may contribute to publications. For Staff Associate III: Able to translate information to general terms and help others understand impact of information. Collaborate with experimental and computational researchers. Assist PI to prepare publications and funding proposals.
ADDITIONAL OPPORTUNITIES:
The candidate may also contribute to projects involving:- RNA-binding protein biology
- Splicing regulation
- Transcriptomics and post-transcriptional regulation
- RNA-based therapeutic development
Minimum qualification to be considered for:- Staff Associate I: Bachelor's degree in specific research field and 4 years experience preferred.
- Staff Associate II: Bachelor's degree in specific research field and 4 years experience recommended
- Staff Associate III: Bachelor's degree in specific research field and 4-6 years experience preferred.
- Experience with genomic data analysis (e.g., CLIP-seq, RNA-seq)
- Knowledge of NGS pipelines and file formats (FASTQ, BAM, BED, GTF)
- Experience with Docker, Singularity, or workflow systems
- Experience or strong interest in software engineering for scientific tools
Interested applicants should submit the following documents with their application or via email to Dr. Chaolin Zhang (cz2294[at]columbia.edu):
1. A CV
2. A brief cover letter describing relevant experience and interests
3. Contact information for 3 references
POLICIES:
Equal Employment Opportunity Statement:
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure:
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
![[Photo]](https://www.bioinformatics.org/images/photo.php?photo_id=51242)
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Bioinformatics Software Engineer – Founding Team
Remote US
$80-145K + equity
Allovista * Remote (US) * Full-time or Senior Contract-to-Hire
team[at]allovista.coABOUT ALLOVISTA
Allovista is building a cloud-native platform that lets clinical labs run multimodal MRD (measurable residual disease) detection in-house – replacing expensive send-out workflows with same-day, on-premise bioinformatics. Our stack processes amplicon sequencing, RNA-seq, and mass spectrometry data through automated pipelines, delivering concordance-scored clinical reports directly to physicians.
We are pre-launch, post-funding, and looking for our first technical hire to help ship the MVP and validate with early-adopter labs.THE ROLE
You'll work directly with the founder to build production bioinformatics pipelines and the React-based clinical interface. This is a high-ownership, generalist role – you'll touch everything from FASTQ processing to charting clonal frequency over time in D3.js.
WHAT YOU'LL DO:- Design and implement AWS Step Functions pipelines for BCR/TCR repertoire analysis, variant calling, and MRD quantification
- Build and validate bioinformatics workflows: alignment, clonotype identification, clone tracking, limit-of-detection analysis
- Write and maintain analytical validation scripts – compare pipeline outputs against orthogonal methods and published benchmarks
- Develop React UI components for clinical reporting: clonal tracking dashboards, MRD trend charts, concordance visualizations
- Collaborate on database schema (PostgreSQL Aurora) for HIPAA-compliant sample and result storage
- Participate in early customer discovery – join calls with lab directors, translate feedback into features
- Help define QC thresholds, LOD criteria, and reporting standards for LDT (laboratory-developed test) workflows
YOU SHOULD HAVE
- 2+ years working with NGS bioinformatics (alignment, variant calling, or immune repertoire analysis)
- Strong Python and/or R for data analysis and pipeline scripting
- Hands-on experience with AWS services (Step Functions, Lambda, S3, Batch, or similar orchestration)
- Proficiency in JavaScript/TypeScript and React (or willingness to ramp fast with strong JS fundamentals)
- Familiarity with clinical sequencing data: FASTQ, BAM, VCF formats and QC metrics
- Comfort working in a fast-moving, two-person team where you own entire features end-to-end
BONUS POINTS
- Experience with MRD detection, clonotype tracking, or immune repertoire profiling (ClonoSEQ, LymphoTrack, Adaptive, etc.)
- Familiarity with D3.js or Recharts for data visualization
- Background in clinical lab operations, LDT development, or CAP/CLIA compliance
- Exposure to mass spectrometry proteomics or multi-omics integration
- Contributions to open-source bioinformatics tools (Nextflow, nf-core, BioPython, etc.)
COMPENSATION
- Salary: $80,000 – $145,000 (commensurate with experience)
- Equity: Meaningful founding-team equity stake (details shared during interviews)
- Benefits: Remote-first, flexible hours, conference budget, equipment stipend
- This can start as a senior contract engagement ($55--$75/hr, 30-40 hrs/wk) converting to full-time after mutual fit is confirmed
HOW TO APPLY
Email team[at]allovista.co with:
1. Your resume or LinkedIn
2. A brief note on which part of this role excites you most
3. (Optional) A link to code you're proud of – GitHub, a publication with a methods repo, a pipeline you built
No cover letter needed. We review every application personally.
![[Photo]](https://www.bioinformatics.org/images/photo.php?photo_id=51237)
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BACKGROUND:
British Heart Foundation Manchester Centre of Research Excellence at the University of Manchester
The British Heart Foundation (BHF) has been awarded one of its prestigious Centres of Research Excellence (CRE) to The University of Manchester. This competitive award recognises the internationally leading position of cardiovascular science at our University. The Centre is interdisciplinary, involving not only basic cardiovascular scientists and clinicians, but colleagues in inflammation biology, data science, computer science and engineering.
The BHF is one of the largest charitable funders of heart and circulatory research in the world. BHF funds around half of all the cardiovascular research performed in the UK and focuses its resources on scientifically excellent projects with a potential to benefit the health of people with, or at risk of, cardiovascular disease.
Manchester Biomedical Research Centre (BRC):
The National Institute of Health and Care Research (NIHR) funds Biomedical Research Centres (BRCs) as experimental medicine centres of excellence via competitive application every five years. The Manchester Biomedical Research Centre (BRC) was renewed for the 2022-2027 period to provide experimental medicine infrastructure funding across Greater Manchester, Lancashire and South Cumbria.
Contracted by the NIHR, Manchester University NHS Foundation Trust (MFT) host the BRC in partnership with the University of Manchester and also with The Christie NHS Foundation Trust, Northern Care Alliance NHS Foundation Trust, Greater Manchester Mental Health NHS Foundation Trust, Blackpool Teaching Hospitals NHS Foundation Trust and Lancashire Teaching Hospitals NHS Foundation Trust. Manchester BRC drives forward experimental medicine across a range of research themes which are grouped into four clusters: Inflammation, Cancer, High Burden Under Researched Conditions and Disease Complexity as areas where the region has demonstrable strength and which will work collaboratively to improve patient outcomes and embed, build and accelerate personalised health and care for all.
This role is jointly supported by the BHF Manchester Centre of Research Excellence and NIHR Manchester Biomedical Research Centre (BRC) through its Inflammation Cluster, with contributions from three key research themes:- Integrated Cardiovascular Medicine
- Rheumatic and Musculoskeletal Disorders
- Inflammation cluster
Our Future Health:
Our Future Health is a collaborative project between the private sector and the public. It has recruited more than two million participants in the UK. Their clinical data have been triangulated with DNA-derived information and are now accessible to UK based researchers. In addition to nearly one million biobanked samples, the dataset includes health information from questionnaires, linked health record data and clinical measurements. Our Future Health are committed to increasing inclusivity of under-represented demographic groups (e.g. non-white ethnicity), providing a more representative perspective of UK population diversity than UK Biobank.
RESPONSIBILITIES:
This role offers a unique opportunity to work on a pioneering project using the Our Future Health dataset, which includes genotypic, clinical and questionnaire data from over two million UK participants. The project will focus initially on investigating the genetic determinants of inflammatory conditions including cardiovascular disease and type 2 diabetes. The successful candidate will develop and test an operational pathway for accessing and analysing Our Future Health data, identify practical challenges, and evaluate the dataset's practical utility for commonly conducted computational experiments, such as genome-wide association studies.
Main Responsibilities:- To identify and support development of new computational approaches to data analysis with an emphasis on genomics and genome-wide association studies
- To conduct data analysis using state-of-the-art computational, statistical and bioinformatic methods
- Analyse large-scale genomic and clinical datasets.
- To take responsibility for the validity and reliability of data at all times
- Develop and apply statistical models to identify genetic associations.
- To maintain accurate and complete records of all findings
- To write regular internal reports
- To present findings from the research projects in oral and poster formats at national and international meetings
- To write up findings of research work for publication in high impact journals
- To contribute to development of grant applications for research funding from competitive external sources
- Develop an operational pathway to access Our Future Health data
- Identify and address the early hurdles in data access and analysis
- Test the Our Future Health dataset from the perspective of practical utility
- To supervise practical work and advise students on computational/bioinformatic analysis
- To take responsibility for organising resources and effective decision making in support of research
- To attend relevant training, workshops and conferences as necessary
- To be an active team-member and set positive examples by showing a commitment to achieving results, encouraging and supporting junior members of the team and raising suggestions for continuous improvement
- To promote the reputation of the department, Faculty and wider University
- Work collaboratively with supervisors and interdisciplinary teams across the Faculty, BRC, BHF CRE and external partners
- To undertake appropriate administration tasks
- To attend relevant meetings
- To actively read the scientific literature relating to (and around) the project
- To undertake any necessary training and/or development
- To maintain an up-to-date knowledge of relevant statutory Health and Safety legislation and recommendations and attend safety training as required
- To always act in accordance with the University's policies and procedures relating to Health and Safety, Equal Opportunities, and all other policies and procedures that apply to the post.
- To understand and engage with the University's social responsibility agenda and contribute, as appropriate, to making a positive difference to the world locally, nationally and internationally.
- To undertake any other duties commensurate with the grade of the post as directed by PI/Supervisor
Essential Skills, Knowledge and Experience:- PhD (or soon to be completed) in computational biology, bioinformatics, statistical genetics, statistics, computer science, applied mathematics, or a related field.
- Extensive and up-to-date theoretical and practical knowledge in computational biology, genetics, statistics, bioinformatics
- Experience in performing, and interpreting results of, large genome-wide association studies.
- Excellent programming skills in e.g. C, Perl, R, Python
- Knowledge and prior experience of work with high performance computation environments Previous experience in projects related to UK Biobank or other biobanks with genetic data
- Ability to lead on efficient planning, optimising and progressing projects and communicating findings
- Excellent interpersonal and communication skills and ability to work with colleagues at all levels
- Strong time management and organisational skills
- Good written and spoken English
- A willingness to contribute to the work of others by offering practical and intellectual help
- Strong recent journal publication record (commensurate to career stage)
- Previous experience of evaluating complex data
- Previous experience presenting research at national or international conferences
- Success in securing grant funding
- Prior interests/experience in cardiovascular or metabolic disease research
2 Year Fixed Term
LOCATION:
Manchester UK
COMPENSATION:
£37,694 - £46,049 per annum, depending on relevant experience
HOW TO APPLY:
Apply via the University of Manchester recruitment website - https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=34680
DEADLINE:
20/03/2026
![[Photo]](https://www.bioinformatics.org/images/photo.php?photo_id=51192)
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BACKGROUND:
SeCore Biotech Limited is building an AI-powered platform for early canine cancer detection and personalised neoantigen vaccine design. The platform analyses four genomic signals from a routine canine blood draw – cell-free DNA concentration, fragmentomics entropy, copy number variation, and methylation deviation – and returns a breed-stratified cancer risk score on a 0-10 scale within 24-48 hours.
For high-risk cases, the platform automatically initiates a Phase 2 pipeline that identifies tumour-specific neoantigen peptide candidates using somatic variant calling, DLA allele typing, NetMHCpan binding prediction, AlphaFold-Multimer structural validation, and a proprietary QSA composite ranking formula. The top-ranked candidates are dispatched as a personalised vaccine design pack to a GMP peptide manufacturer.
The company holds a UK patent application covering the detection and vaccine design methodology (31 claims filed). The clinical software platform is live at app.secorebiotech.ai. The Python IP pipeline modules are production-ready with 109 tests passing. The FastAPI backend is fully authenticated and rate-limited.
What does not yet exist – and what this role is specifically hired to build – is the bioinformatics pipeline infrastructure that takes real canine blood sample sequencing data and processes it through the nine analytical stages to produce the feature vector that feeds the ML scoring model. That is the critical path to the first real clinical detection result.
RESPONSIBILITIES:
The SeCore platform has two phases. Phase 1 is the detection pipeline – nine stages that process whole genome sequencing data from a canine blood sample. Phase 2 is the vaccine design pipeline – eight stages that identify personalised neoantigen candidates. This role covers both.
PHASE 1 – DETECTION PIPELINE (9 STAGES)
Stage Tool Your Responsibility
S1 FastQC Containerise, set canine-specific QC thresholds (Q30 ≥ 85%, mapping ≥ 90%)
S2 Trimmomatic Containerise, configure Illumina adapter removal for 150bp PE reads
S3 BWA-MEM2 Containerise, index CanFam4 reference genome, tune alignment parameters
S4 GATK MarkDuplicates Containerise, set optical duplicate distance (2500px for NovaSeq)
S5 pysam + ichorCNA Implement cfDNA quantification and tumour fraction estimation for canine
S6 Custom Python (SeCore IP) Implement fragmentomics entropy scorer – fragment length distribution analysis
S7 CNVkit Containerise, configure for canine genome, produce copy number burden score
S8 Bismark Containerise, configure canine bisulphite alignment, methylation deviation scoring
S9 Custom Python (SeCore IP) Implement signal normalisation using Cancer Risk Library breed-age baselines
PHASE 2 – VACCINE DESIGN PIPELINE (8 STAGES)
Stage Tool Your Responsibility
V1 GATK Mutect2 Implement tumour-normal somatic variant calling, tune filtering parameters
V2 Ensembl VEP 111 Configure CanFam4 VEP cache, annotate variants with protein consequences
V3 SeCore Python (built) Integration only – peptide generator already written and tested
V4 OptiType (adapted) Adapt DLA allele typing for canine DLA-88 and DLA-DQ alleles
V5 NetMHCpan 4.1 Containerise with canine DLA pseudosequences (already assembled in V5 module)
V5b AlphaFold-Multimer Configure GPU pipeline, model weights, pLDDT and RMSD threshold validation
V6 PyTorch model Collaborate with ML engineer on immunogenicity model architecture and training
V7/V8 SeCore Python (built) Integration only – manufacturability scorer and QSA ranker already written
ORCHESTRATION AND INFRASTRUCTURE- Write the Nextflow pipeline definition (.nf file) chaining all stages S1-S9 and V1-V8
- Configure AWS Batch job queues, compute environments, and spot instance strategies
- Store and manage the CanFam4 reference genome and indexes in S3
- Write Dockerfile for each stage using official bioconda or tool-specific base images
- Push all containers to Amazon ECR
- Write the S3 manifest format passed between stages
- Connect the pipeline output to the FastAPI genomics service (already built)
1. Reference Data Setup- Download CanFam4 reference genome (GCA_011100685.1) and store in S3
- Generate BWA-MEM2 index (~15GB), GATK sequence dictionary, samtools fai index
- Download Ensembl VEP 111 cache for CanFam4 (~8GB)
- Configure dbSNP canine variant database for GATK BQSR
- Document all S3 bucket paths and versioning strategy
- One container per pipeline stage – 9 for Phase 1, 5 for Phase 2 (V1, V2, V4, V5, V5b)
- Each container: tool pre-installed at a pinned version, health check, entrypoint script
- Containers must accept S3 input paths and write outputs back to S3
- All containers published to Amazon ECR with semantic version tags
- Total estimated containers: 14
- Write pipeline.nf covering the full S1-S9 detection workflow
- Write vaccine.nf covering the V1-V8 vaccine design workflow
- Handle stage retries, failure logging, and QC gate logic (Q30/mapping thresholds)
- Write nextflow.config for AWS Batch executor with spot interruption handling
- Test with synthetic canine FASTQ input before any real samples
- GATK Mutect2 somatic calling: minimum VAF, read depth, strand bias filters for canine
- ichorCNA tumour fraction: adapt training panel of normals for canine cfDNA
- CNVkit: build canine reference coverage baseline from normal samples
- Methylation thresholds: define deviation scoring relative to breed-age baselines
- These parameters require biological judgement – this is the most critical part of the role
- Validate Q30/mapping/duplicate rates against published canine WGS benchmarks
- Validate somatic variant calls against known canine cancer driver mutations (e.g. TP53, BRCA2)
- Validate cfDNA quantification against published canine liquid biopsy literature
- Document sensitivity and specificity estimates for each signal
- Write a validation report suitable for inclusion in the patent continuation and regulatory submissions
- Define the data schema for the breed-age population baseline library
- Implement the z-score normalisation formula in Stage S9
- Seed initial baselines from published canine WGS literature where available
- Design the library update process as retrospective cohort data accumulates
- The FastAPI genomics service (already built) expects a webhook from the lab and then submits an AWS Batch job
- Connect the Nextflow pipeline to the FastAPI job submission endpoint
- Ensure SSE status updates (already built) reflect real pipeline stage completion
- Ensure the S3 manifest from Stage S9 maps to the feature vector expected by the SageMaker ML scorer
ESSENTIAL – MUST HAVE- PhD or MSc in Bioinformatics, Computational Biology, Genomics, or a closely related field
- Minimum 3 years of hands-on experience running NGS pipelines in a research or clinical setting
- Direct experience with BWA, GATK, and Samtools in production – not just academic coursework
- Experience writing Nextflow or Snakemake workflow definitions
- Strong Python – able to write and debug bioinformatics scripts independently
- Experience with Docker container development and Docker in bioinformatics contexts
- Familiarity with AWS (S3, Batch, EC2) or equivalent cloud compute platform
- Experience with somatic variant calling (tumour-normal or tumour-only)
- Understanding of cfDNA biology and liquid biopsy methodology
- Experience with canine genomics or veterinary bioinformatics
- Experience with NetMHCpan or other MHC binding prediction tools
- Experience with AlphaFold or structural protein prediction
- Experience with CNVkit or ichorCNA copy number analysis
- Experience with Bismark or WGBS methylation analysis
- Experience in a clinical or regulated environment (GCP, CLIA, or equivalent)
- Experience with neoantigen identification for personalised cancer vaccine programmes
- Knowledge of canine MHC (DLA) allele biology
- Experience with Ensembl VEP annotation
- Experience with Nextflow Tower or Seqera Platform for pipeline monitoring
- Familiarity with AWS Batch spot instance configuration
- Published research in cancer genomics, liquid biopsy, or immunogenomics
- Remote-first. UK timezone strongly preferred for overlap with clinical partners.
- Direct access to the founder and software team via Slack and weekly calls.
- Full access to all three GitHub repositories (Secore-Platform, secore-api, secore-pipeline).
- AWS account provided with appropriate IAM permissions and a budget for compute.
- NetMHCpan commercial licence being applied for – available before V5 work begins.
- CanFam4 reference genome download and S3 storage costs covered by SeCore.
- AlphaFold model weights (~500GB) download and GPU instance costs covered by SeCore.
- Technical blueprint and full architecture documentation provided on day one.
Contract based, $300-600 a day
HOW TO APPLY:
Please send the following to alan[at]secorebiotech.ai with the subject line: Bioinformatician Application – SCB-BIO-001- Your CV or LinkedIn profile
- A brief paragraph (4-6 sentences) describing a Nextflow or Snakemake pipeline you have built, what tools it ran, and how you validated the biological outputs
- Links to any relevant GitHub repositories or published papers
- Your availability and preferred engagement structure (contract rate, hours per week, start date)
![[Photo]](https://www.bioinformatics.org/images/photo.php?photo_id=51202)
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DESCRIPTION
The Department of Medicine at the Stanford University School of Medicine is recruiting a Division Chief of Computational Medicine for an academic appointment as Associate Professor or Professor of Medicine in the University Medical Line, University Tenure Line, or Non-Tenured Line (Research) at Stanford University School of Medicine. The Chief will provide strategic leadership, driving innovation in artificial intelligence and machine learning, computational modeling, and statistical methods, and their application to medical decision-making across the full spectrum of research and care---from understanding molecular mechanisms to improving patient outcomes. The Chief will lead the Division's research and educational missions, fostering a culture of scientific excellence, collaboration, and translational impact. We seek a candidate who combines proven leadership with an outstanding record of academic accomplishment, a deep commitment to research and education, an understanding of the complexity of academic medicine, and the creative vision to help grow and maintain a premier Division of Computational Medicine.
Candidates should be accomplished physician investigators or scientists with a national/international reputation. Candidates should hold an MD, MD/PhD, or PhD degrees or equivalent. Candidates should have the ability to harness AI to shape the future of computational modeling and statistical methods to understand, predict and individualize medical decision-making across the spectrum from molecular mechanisms to clinical care. The Chief will be expected to recruit additional faculty as needed to support both laboratory and clinical research. The Chief is also expected to strengthen fellowship programs and to increase its focus on the research opportunities so abundant at Stanford. Established and emerging leaders in the field are highly encouraged to apply.HOW TO APPLY
For more information about the position, including required qualifications and application materials, go to: https://apptrkr.com/6927966
Applications will be reviewed beginning April 1, 2026, and accepted until position is filled.
For questions, please contact Cynthia Llanes, Faculty Affairs Manager for Recruitment at cllanes[at]stanford.edu for more informationPOLICIES
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access[at]stanford.edu.
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