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Division: BE-Biological Systems & Engineering
BACKGROUND
Berkeley Lab's (LBNL, https://www.lbl.gov) Biological Systems and Engineering (BSE, https://biosciences.lbl.gov/bse/) Division has an opening for a Postdoctoral Fellow to join the Quantitative Modeling Group (https://qmm.lbl.gov) led by Héctor García Martín (http://hectorgarciamartin.com) to develop machine learning algorithms (https://www.nature.com/articles/s41467-020-18008-4), mechanistic models (https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011111), data science pipelines, and automated workflows (https://www.nature.com/articles/s41378-022-00357-3) to design cells (https://www.nature.com/articles/s41467-020-17910-1) to produce renewable products (https://www.nature.com/articles/npjsba20169) and combat climate change. You will have the opportunity to design cells to a specification (https://pubs.acs.org/doi/full/10.1021/acssynbio.8b00540), bring synthetic biology (https://vimeo.com/265198586) to its full potential, and enable self-driving labs (https://www.nature.com/articles/s42256-023-00618-4).
In this exciting role, you will work as part of a collaborative team to integrate microbial phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict and explain the outcomes of bioengineering interventions. You will work closely with an interdisciplinary team of bench scientists, automation engineers, and software developers in devising methods for high-throughput data collection and analysis for feedback into experimental design, as part of the Agile BioFoundry (https://agilebiofoundry.org/home/about/) and the Joint BioEnergy Institute (https://www.jbei.org).
This position has an anticipated start date of March 3, 2025.
WHAT YOU WILL DO
- Integrate and analyze data.
- Develop quantitative predictive models of cell metabolism.
- Integrate transcriptomic, proteomic, and metabolomic data into quantitative models.
- Use Monte Carlo approaches to model biological system behavior.
- Use machine-learning and data-mining approaches to guide the synthetic biology process.
- Develop new machine-learning algorithms.
- Combine machine learning and mechanistic approaches.
- Develop and optimize code and algorithms for predictive models.
- Combine algorithms and automation to enable self-driving labs and automate the scientific process.
- Interact continuously with experimentalists and automation scientists to guide and propose new experiments and use available data to its full potential.
- Interact continuously with software engineers to provide code using best practices.
- Resolve problems that may affect the achievement of research objectives and deadlines.
- Prepare research results for publication and present at scientific and internal meetings.
WHAT IS REQUIRED
- A recent PhD (within the last 1-2 years) in Systems Biology, Bioengineering, Computational Biology, Bioinformatics, Applied Mathematics, Physics, Computer Science, Electrical Engineering, or a closely related discipline.
- Demonstrated experience in Python or other major programming languages.
- Proven experience in Linux including file systems, shell, hardware/software monitoring, etc.
- Strong mathematical background and analytical skills.
- Excellent oral and written communication skills, including the ability to organize technical/scientific information, publish in top journals as a first author, and present at conferences.
- Strong interpersonal skills, with the ability to collaborate effectively with a diverse, interdisciplinary research team.
DESIRED QUALIFICATIONS
- Experience in metabolic flux analysis.
- Experience on experimental lab work.
- Knowledge of microbiology and microbial metabolism.
- Strong interest in microbiology and bacterial metabolism.
NOTES
- For full consideration, please apply with a curriculum vitae (CV) or resume and a cover letter describing your interest by February 15, 2025.
- This is a full time, exempt from overtime pay (monthly paid), 2 year (benefits eligible), Postdoctoral Fellow appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience.
- The monthly salary range for this position is $7,828 - $8,742 and is expected to start at $7,828 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.
- As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
- This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
- This position will be performed onsite at the Emeryville Station East (ESE) Operations Center located in Building 978 at 5885 Hollis Street Emeryville, CA 94608.
LEARN ABOUT US
Berkeley Lab (LBNL, http://www.lbl.gov) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 16 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab - Click Here (https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html).
POLICIES
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments.
Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
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August 10-12, 2025
Columbus, OH, USA
https://icibm2025.iaibm.org
We are pleased to announce the 13th International Conference on Intelligent Biology and Medicine (ICIBM 2025).
ICIBM is a high-caliber conference that brings together eminent scholars and experts from various fields of computational biology, bioinformatics, genomics, data science, AI, biomedical informatics, and related experimental research. The purpose of the ICIBM is to provide a congenial atmosphere highly conducive to extensive discussion, collaboration, and networking. For full conference details, please visit the official website: https://icibm2025.iaibm.org.
CALL FOR PAPERS
We invite you to submit papers and abstracts with unpublished, original work describing recent advances in all aspects of these topics, including but not limited to, the following specific topics:
Bioinformatics:
- Genomics and genetics/epigenetics, including integrative & functional genomics, genome evolution, GWAS.
- Next-generation sequencing data analysis, 3D genome.
- Single-cell omics, spatial transcriptomics, and the related technologies
- Big data science including storage, analysis, modeling, visualization, and cloud.
- Precision medicine, translational bioinformatics, and medical informatics.
- Drug discovery, design, and re-purposing.
- Proteomics, and protein structure prediction, function, and interactions.
- Microbiome and Metagenomics.
Data Science and AI:
- Artificial intelligence, machine learning, deep learning, data mining, knowledge discovery.
- Large language model, foundation model, and computer vision in biomedical fields.
- GPT prompt tools and related applications in biological and biomedical informatics
- Natural language processing, literature mining, semantic ontology, and health informatics.
- Neural computing, kernel methods, feature selection/extraction.
- Evolutionary computing, swarm intelligence / optimization, ensemble methods.
- Artificial life and artificial immune system.
- Biomedical image analysis and processing.
Systems Biology:
- Modeling and simulation of biological processes, pathways, networks, and interactomes.
- Modeling of cellular and multi-cellular interaction systems.
- Multi-dimensional omics data integration.
- Synthetic biological systems.
- Metabolomics, microbiome, and lipidomics.
- Self-organization in living systems (cells, organisms, swarms, ecosystems, etc.).
Medical Informatics:
- Cohort discovery, EHR-based phenotyping, predictive modeling.
- Data quality assessment or validation.
- Clinical decision support solutions.
- Informatics to address disparities in health and health care.
- Interoperability (e.g., ontology, terminology, standards, and others).
- Machine learning for clinical applications, genome, and phenome analysis/associations.
- Mobile health and wearable devices.
- Human-computer interaction and human factors
Paper Submission and Publication:
Prospective authors are invited to submit unpublished work to ICIBM 2025. Selected papers of registered authors will be recommended for publication in special issues of journals in bioinformatics, data science, quantitative science, and biomedical informatics, by following the previous ICIBM conferences.
Abstract Submission:
Conference participants are invited to submit abstracts formatted using the abstract template available on the conference website. Abstracts should be no more than 400 words. We also welcome highlight papers that have been recently published or accepted for publication. These abstracts should include a complete reference to the published work.
All submissions will be evaluated by a group of experts for selection as oral presentations or posters.
IMPORTANT DATES
Deadline for Paper Submission: March 17, 2025
Notification to Authors: May 16, 2025
Early Registration Opens: June 1, 2025
Abstract Submission Deadline: June 20, 2025
Early Registration Deadline: July 18, 2025
Regular Registration Opens: July 19, 2025
Conference Dates: August 10-12, 2025
Sincerely,
On behalf of ICIBM Organizing Committee
Lang Li, Qin Ma, Lianbo Yu and Maciej Pietrzak
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We are looking for a postdoctoral researcher to engineer enzymes using state-of-the-art experimental and computational approaches for an industrial partnership with IFF.
IFF-DTU Collaboration: Pioneering the Future of Biotechnology
International Flavors & Fragrances Inc. (IFF), a global leader in taste, scent, nutrition & bioscience and the Technical University of Denmark (DTU) have initiated a strategic partnership and created a joint research program with PhD students and postdocs together with researchers at DTU Bioengineering, DTU Biosustain and IFF Scent.
Research Outline: Advanced Industrial Enzyme Technology for more sustainable fragrances
The research focus of the collaboration is advanced industrial enzyme technology. Our goal is to deliver lower impact processes and innovative products built on circular attributes, reducing our dependence on volatile supply chains. The research program will create new fundamental knowledge on the production, action, kinetics, and robustness of specific enzymes, providing new sustainable bio-based processes for an expanded, sustainable scent & taste product portfolio based on new scientific insights.
Join an international multi-disciplinary program:
Building on the mutual synergies between DTU and IFF, you will work in an international multi-disciplinary program involving scientific areas of enzyme technology, chemistry, molecular biology, bioinformatics, analytical chemistry and chemical engineering. The program supports not only strong research, but also education at DTU of future global industrial biotech leaders, offering courses in sustainability management, entrepreneurship, technology change, and economics.
Research Focus of the Postdoc:
As part of this collaboration, DTU Biosustain is looking for a postdoctoral researcher that will be designing new enzymes for developing more sustainable bioprocesses for the biosynthesis of natural compounds. We are looking for someone who is independent in planning and designing experiments, who thrives within an interdisciplinary environment at a world-class university, and who is highly motivated for the development of bioprocesses using enzyme-based technologies together with an industrial partner. The project is interdisciplinary, and it involves bioinformatics, enzyme engineering, directed evolution, biocatalysis, analytical chemistry and machine learning.
RESPONSIBILITIES
- Perform enzyme engineering and directed evolution in model bacteria and yeast.
- Develop high-throughput assays and analytical methods for enzyme screening.
- Optimize biocatalytic transformations using single and multiple enzymes.
- Purify and characterize enzyme variants using biophysical and biochemical approaches.
- Report research results in peer-review scientific publications and international conferences.
- Supervise PhD students and collaborate with other researchers across related projects.
QUALIFICATIONS
- PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area.
- Experience with molecular biology, enzyme engineering and assay development.
- Experience with patent and paper writing as well as teaching.
- Excellent English proficiency in written and oral form.
- Excellent communication skills for working within an international research team.
- Strong analytical skills and ability to work independently and with an interdisciplinary team.
Preferred qualifications but not mandatory:
- A strong publication record in peer-review scientific journals and patents.
- Bioinformatics for the evolutionary analysis of enzyme families.
- Basic coding skills in Python or other programing language.
- Experience with visualization and molecular modelling of protein structure and ligands: Rosetta, Schrödinger, AlphaFold2, PyMOL, Chimera, etc.
- Interest in applying machine learning methods to improve enzyme function.
- Interest in collaborating with industrial partner to make a positive impact on planetary health.
As a formal qualification, you must hold a PhD degree (or equivalent).
COMPENSATION
We offer:
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment:
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 3 years. The preferred starting date is 1 April 2025, or according to our mutual agreement. The position is full time.
You can read more about career paths at DTU here: http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths
HOW TO APPLY
Your complete online application must be submitted no later than 15 January 2025 (23:59 Danish time).
Apply at postdoc in enzyme design for industrial collaboration:
https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/4490/?utm_medium=jobshare
The hiring committee consists of representatives from IFF and DTU and the first round of interviews will be held from 27-29 January 2025.
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
Applications received after the deadline will not be considered.
ABOUT US
DTU Biosustain is an interdisciplinary research centre that develops new knowledge and technology to support the production of biochemicals, natural products and microbial foods using fermentation processes based on microbial hosts or enzymatic processes.
Technology for people:
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
POLICIES
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
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BACKGROUND
The Department of Bioinformatics and Genomics, part of the College of Computing and Informatics at the University of North Carolina at Charlotte, invites applications for a tenure-track Assistant Professor position beginning Fall 2025. Located in the Bioinformatics Building on the UNC Charlotte Campus, the Bioinformatics and Genomics Department is a research-intensive unit with a Ph.D. program in Bioinformatics and Computational Biology and a M.S. in Bioinformatics. Visit https://cci.charlotte.edu/departments/department-of-bioinformatics-and-genomics/ for more information. Faculty in this Department support an undergraduate Bioinformatics Minor and Bioinformatics Concentrations within the BS and BA degrees in Computer Science. The Department has state-of-the-art laboratories, several high-performance computer clusters, and has dedicated space for postdoctoral fellows, graduate students, and staff.
RESPONSIBILITIES
The successful candidate will be expected to develop and maintain an externally funded research program involving Ph.D., Masters, and undergraduate students and to teach graduate and undergraduate courses.
REQUIREMENTS
Applicants for this position must hold a Ph.D. in the biological, computational, or related sciences. They should demonstrate excellence in research via a strong publication record, the potential to secure funding, and a commitment to education. We welcome applications from qualified researchers working in any area of bioinformatics whose research will complement and expand current department strengths. Example research areas include but are not limited to: human, model, or non-model organism genomics, precision medicine, statistical genetics, cloud computing approaches in bioinformatics, computational plant genetics, microbiome analysis, phylogenomics, or computational/theoretical ecology.
TERMS
Permanent - Full-time
LOCATION
Charlotte, NC, USA
Charlotte is one of the top five cities to live in the U.S. according to 2024-2025 rankings by U.S. News & World Report. Charlotte offers an ideal combination of rapid economic growth, cultural vibrancy, and Southern charm. Home to 18 Fortune 500 and 1000 companies, the city boasts a flourishing economy led by thriving financial and healthcare sectors. Charlotte provides residents with temperate weather, affordability, and a rich cultural scene, including museums, parks, professional sports teams, and a fast-growing brewery industry. Charlotte is a welcoming community and has a high quality of life.
HOW TO APPLY
Applications must be made electronically at https://jobs.charlotte.edu (position #001841) and must include: a cover letter, CV, contact information for at least 3 references, a statement of research interests (max 5 pages), a statement of teaching philosophy (max 2 pages), and PDFs of 3 publications. Please highlight potential contributions to UNC Charlotte within the statement of research interests.
For questions about this posting or the application, please contact Dr. Anthony Fodor (afodor[at]charlotte.edu).
DEADLINE
Review of applications will begin on January 13, 2025
POLICY
The University of North Carolina at Charlotte is an Affirmative Action/Equal Opportunity Employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained. Women, minorities, veterans and individuals with disabilities are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability, gender identity or sexual orientation. The University of North Carolina at Charlotte maintains an Affirmative Action Plan prepared in accordance with Executive Order 11246 and the Consent Decree.
The candidate chosen for this position will be required to provide an official transcript of their highest earned degree and submit to a criminal background check.
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BACKGROUND
Multiple postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML, https://www.uth.edu/bioinfo/), Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects focus on deep learning in precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell omics, as well as translational/clinical bioinformatics. Funding (multiple NIH grants (U01, 4 R01s, R03), CPRIT grants, Vice President Office for Cancer Genomic Medicine, lab/center/professorship startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (>400 papers since 2009) and has an excellent post-doctoral training track record (e.g. 25 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, two received CPRIT Scholar faculty recruitment, one NIH K99 awardee, one received NIH MIRA grant, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications from the lab have appeared in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Nature Machine Intelligence, Cancer Discovery, Genome Research, Genome Biology, Genome Medicine, NAR, Science Advances, GigaScience, etc.
The BSML lab is part of the new Center for Precision Health (CPH), a joint enterprise by the School of Biomedical Informatics and School of Public Health, The University of Texas Health Science Center at Houston. The center is established in UTHealth in response to the emerging need of precision health and artificial intelligence. The center focuses on precision cancer medicine, pharmacogenomics, deep learning, and translational bioinformatics. UTHealth is part of the world-renowned Texas Medical Center located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI is the first School of its kind and one of the largest biomedical informatics programs in the country.
REQUIREMENTS
The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, genetics, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, Python, R, or C/C++). Good understanding of genetics or molecular biology is a plus, but not required. For more information about our research, please visit the website https://www.uth.edu/bioinfo/.
TERMS
3 Years or flexible.
LOCALE
Houston, Texas, USA
COMPENSATION
Salary and Benefits: Salary is commensurate with the NIH pay level, and can be higher with strong research experience. Promotion to other positions is also available. All postdocs are provided with the benefits according to the university standard (medical and dental insurance, retirement, etc.).
HOW TO APPLY
Applicants should send a CV and references to:
Zhongming Zhao (zhongming.zhao[at]uth.tmc.edu)
Chair, Precision Health
Professor and Director, Center for Precision Health
University of Texas Health Science Center at Houston
DEADLINE
Open until the positions are filled.
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