The official conference app for Research in Computational Molecular Biology 2024

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Jobs Posted on the Whova Community Board of Research in Computational Molecular Biology 2024

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Computational Biologist (contract)
I lead the bioinformatics team at Amazon Special Projects, where we take big risks to build something new for Amazon and the world. I am looking for someone to join our team for the remainder of 2024 to perform large scale comparative genomics analyses. This is a great way to get your foot in the door at a fast growing team in one of the world's leading tech companies. Reach out via the app or by email ( if you are interested, or just come find me at RECOMB!
Senior Scientist - Computational Biologist, Proteomics
Job Summary: The Senior Scientist Computational Biologist will be a key member of the Machine Learning and Computational Sciences Team, focusing on the analysis and interpretation of complex datasets generated from omics experiments to drive drug discovery and development. The role will require applying a deep understanding of biology together with advanced computational methods to solve complex biological problems and contribute to the understanding of disease mechanisms at the molecular level.

Key Responsibilities:
• Develop and apply computational tools and algorithms for the analysis of large-scale proteomics datasets.
• Collaborate with cross-functional teams to design, guide, conduct statistical analysis, and interpret multi-omics datasets including proteomics, NGS, and chemical biology data in the context of drug discovery projects.
• Stay abreast of the latest developments in proteomics and computational biology. Integrate new technologies and methodologies into research practices.
• Communicate findings effectively to both technical and non-technical audiences through presentations and scientific publications.

• Ph.D. in computational biology, bioinformatics, statistics, computer science, or a related technical field.
• Strong background in omics type data analysis and interpretation, such as proteomics, metabolomics, genomics, transcriptomics, etc.
• Proficiency in programming languages such as Python or R and experience with bioinformatics tools and databases.
• Deep understanding of biological systems, including post-translational modification, molecular and cell biology, pathway regulation, etc.
• Familiarity with machine learning techniques and their application to biological data.
• Experience with mass spectrometry-based proteomics/metabolomics, chemical biology, Olink proteomics, and next-generation sequencing is preferred.
Senior NGS Data Analyst
Regeneron Genetics Center
The Genome Informatics team at the Regeneron Genetics Center (aka my team) is looking for a senior NGS data analyst to support R&D and QC efforts under the production sequencing informatics R&D lead (my manager). You would be working with me and your role would involve developing and executing analysis code to perform a variety of research tasks including evaluation of new sequencing assays, productionization of new methods, and analysis of existing data to improve QC and production performance.

Experience required: Bachelor’s in computer science or bioinformatics with 4+ years of relevant experience or Master’s with 2+ years’ experience.

Please feel free to reach out to me with any questions or if you are interested. The job posting is not yet up so I’ve just summarized the role here, but I will update this listing when it is.
Link: None
Assistant Professor
Computer Science Department, Georgia State University
The research areas are Computational Biology, Bioinformatics, and Computational Genomics
Postdoctoral Associate Positions in Computational Genomics and/or AI in Medicine
Weill Cornell Medicine of Cornell University
Ideal candidates must have a Ph.D. in Computer Science, Computational Biology, Engineering or a related life sciences field with quantitative skills. Excellent computational (e.g. Algorithms, Machine Learning, AI), programming (e.g. Python, C/C++) and communication skills are required.

The successful candidate is expected to take leadership of some the research questions we are actively perusing in the domains of characterizing (meta)genomes using current (and future!) sequencing technologies, or AI in Medicine (including women's health and cancer)

Please email your CV to "" along with a brief description of your background and future interest. Use the subject "Postdoctoral Position 2024"

The salary range for this position is 70,000 to 92,000 USD per year (plus benefits, options for discounted housing in Manhattan, and research/travel allowances) based on work experience and skill set.

“ Weill Cornell Medicine provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information."
Data Scientist/Senior Data Scientist, Proteomics
Calico Life Sciences
Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics. At Calico we are generating large quantities of proteomics data both from large, unique cohort studies as well as non-standard proteome profiling for both structural proteomics as well as functional and enrichment proteomics. Proteomics profiling experiments come from a range of organisms ranging from yeast to humans, adding to the complexity.

The ideal candidate is someone with strong statistical chops, direct experience with proteomics data analysis techniques, and an ability to use exploratory data analysis techniques and visualizations to help generate new biological hypotheses and insights. The candidate will primarily work with mass spectrometry proteomics data and would be expected to have a detailed knowledge of the data generating process. In this role, the candidate would work collaboratively with members of the Proteomics group, the Computing team, and the broader R&D organization.
PhD student in computational biology / biomedical data science
UMass Lowell
We are a highly collaborative group at the Center of Biomedical and Health Research in Data Sciences (CHORDS) at University of Massachusetts, Lowell seeking PhD or Postdoc candidates to start in 2024. Our research focuses on using data science and applied machine learning to understand the biology of common diseases like cancer and dementia. We aim to discover new ways to prevent or treat disease through mining health records and genomic data.
Projects include (but are not limited to!):
Mining health records data to learn hidden beneficial effects of common medications on disease outcomes
Modeling knowledge graphs to discover new drug interactions
Integrating genetic and health history to uncover new disease subtypes influencing clinical outcomes.
Learning the biology of unexpected drug effects by integrating genomic and clinical data
Trainees will work with some of the best cutting edge data sources including large health records data with over 20 million participants; biobank data sources, and genetics and genomics data.
The candidate will be mentored by Dr. Rachel Melamed, an expert in biomedical data science, and co-mentored by Dr. Tingjian Ge, a computer science professor and expert in graph neural network models. Our lab has a focus on mentorship and maximizing the potential for each trainee to achieve their career goals in a healthy, motivated, supported environment. Lowell is in greater Boston, and a short drive from the seashore and mountains.
Trainees should already have computational experience including experience in applying machine learning models, though not necessarily in the biomedical context.
To apply, please go to and fill the application at the lab website. Be sure to explain your relevant background and motivation for why this lab is a logical next step for attaining your career goals.
Center for Computational Biomedicine Curriculum Fellow
Harvard Medical School
The Harvard Medical School Curriculum Fellows Program (HMS CFP) welcomes applications for a Curriculum Fellow (CF) for the Center for Computational Biomedicine (CCB). This postdoctoral program targets early-career scientist-educators, emphasizing curriculum development, teaching, and educational programming in the biological and biomedical sciences.

The CCB Curriculum Fellow collaborates with a diverse cohort of Curriculum Fellows, leveraging individual expertise while closely engaging with Harvard Medical School faculty and administration to craft, implement, and assess evidence-based graduate training. Fellows benefit from mentorship and career guidance, nurturing their growth as educators and facilitating success across various education-focused careers. Further details are available on our website (

The CCB develops shared data and analytic resources that broadly serve HMS. This includes a strong educational mandate for courses and skills related to software, data analysis, technical computational skills and the adoption of new methods (eg AI/ML, single cell RNA-seq, etc). The CCB CF will be responsible for developing curricula for CCB workshops offered to HMS graduate students and postdocs across HMS programs and departments. 

The CCB CF will report directly to the Center Administrator and will receive one-on-one mentorship from the CCB Director, Dr. Robert Gentleman, Director of Administration and Education, Dr. Jaclyn Mallard and the Director of the CFP, Dr. Aimee Hollander.
Postdoc and phd student
Cincinnati childrens’s hospital medical center
We have multiple openings for postdoctoral researchers and graduate students in the field of bioinformatics and computational biology at Dr. Yunguan Wang’s lab
within the Division of Gastroenterology and Human Genetics. Dr. Wang’s research group
focuses on investigating the pathogenic mechanisms in autoimmune and rare diseases through
the analysis of single-cell multi-omics data and spatial transcriptomics data. Dr. Wang’s
groundbreaking research has been published in esteemed journals such as Science, Cell, Nature
Methods, and Nature Cancer.
As a postdoc, student, or analyst joining our team, you will work on analyzing both in-house and
publicly available single-cell and spatial transcriptomics data. Your primary task will involve
studying the cellular neighborhood and interactions within healthy and diseased tissues.
Additionally, you will contribute to the development of novel methods for analyzing
neighborhood and cell-cell communication in spatial transcriptomic data.
1. The ideal candidate should have a quantitative background in computational/systems
biology, bioinformatics, computer science, statistics, mathematics, or a related field.
2. Proficiency in at least one high-level scripting language (R or Python) and experience
working with the Linux operating system (Bash) are required.
3. The preferred candidate will possess exceptional quantitative skills in statistics, machine
learning, or mathematics.
4. Familiarity with large-scale next-generation sequencing (NGS) data analysis, such as
WGS, WES, RNA-seq, ATAC-seq, or related techniques, as well as single-cell
transcriptomics, is desirable
Link: None
Postdoc and PhD position in neurodegeneration
Queensland Institute of Medical Research
If you are interested in using computational and statistical methods to investigate age-related neuropsychiatric diseases in large biobanks and cohorts, let’s have a chat.
Link: None
Postdoc in algorithmic bioinformatics
University of Regensburg, Faculty of Informatics and Data Science
Our Algorithmic Bioinformatics group at the University of Regensburg, Germany, is seeking excellent candidates for a postdoctoral fellow position.

Our team brings together algorithm theory, genomics, and software engineering to learn new biology. We combine techniques from combinatorial optimization, machine learning and deep learning to develop accurate and efficient computational methods for single-cell omics data.

The successful candidate is expected to lead some of these efforts but also to develop his/her own research profile.

Candidates interested in the position should have a PhD degree in computer science, (applied) mathematics, physics, or bioinformatics and are expected to have an excellent background in algorithm design, strong programming skills in Python or C++ as well as an interest in interdisciplinary work (biology, medicine).

To apply, send your CV, academic transcripts, final thesis (draft), and a short research statement (about 1/2 page) to using the subject 'Application for Postdoc position' Candidates will be considered until the position is filled.
Max Planck Institute
postdoc position available in Vingron lab.Computational biology - Regulatory genomics/epigenetics.
PhD Student in Bioinformatics and Computational Biology.
MoussaLab at University of Oklahoma
My Lab in the School of Computer Science, Oklahoma University ( focus: Computer Science, Genomics, and Computational Biology Research) is recruiting for a competitive PhD opportunity with interest in one or all the following fields:
• Machine/Deep Learning and Data Analytics, • High Throughput Sequencing and Bioinformatics, • Computational Genomics, and • Computational Biology, or similar fields.
Additionaly, our lab has a basic research/wet lab component focused on Cancer Immunology, Single Cell Technologies, and Immuno-omics and modulation, and we are hiring for students and a (Postdoctoral) researcher position with a background in:
• Biomedical Sciences, • Molecular and Cellular Biology, • Physiology and Neurobiology, • Immunology, or similar areas are especially welcomed.
These are competitive positions in an Carnegie-R1 (high research activity) institution, funding opportunities are available for high-caliber candidates, applicant will be expected to pursue high quality research and be fully immersed in the academic experience.
The ideal candidate has excellent English language skills, written and spoken, has research experience in undergraduate or graduate levels (e.g., publications, grant writing experience etc.) in similar research areas OR has hands-on wet lab experience or training in bio-laboratory technologies.

Applicants will have to formally apply to OU and satisfy any additional graduate school requirements. Please feel free to contact me ( or share with students/colleagues who might be interested in pursuing a PhD in this area.
Postdoc or Research Scientist
UMass Chan Medical School
The Abdennur lab ( has openings for computational biology postdocs and research scientists! We have collaborative projects focused on 3D genomics (as part of the NIH 4D Nucleome Consortium), multi-omics and environmetal exposures in diverse ancestries (as part of the NIH Multi-Omics for Health and Disease Consortium) as well as foundational infra for genomic data science and AI/ML (with an emphasis on the Python and Rust ecosystems). Postdoc candidates apply here:, or send your CV to
Bioinformatics Data Scientist
University of Montana
The University of Montana (UM) invites applications for a Bioinformatics
Data Scientist to support data science research and education activities
of the UM Genomics Core (UMGC) and the Montana INBRE Data Science Core

The primary responsibilities of the candidate will be to engage in
collaborative research supporting the biological and biomedical research
communities of the University of Montana and the Montana INBRE (MT-INBRE)
network, which is a collaborative network of institutions invested
in biomedical research in Montana. This is a full-time position that
includes service, training, and independent research components. The
successful candidate will collaborate with UMGC and MT-INBRE researchers
on emerging bioinformatics and data science problems and work with UM
Information Technology (IT) to facilitate use of local high-performance
computing resources and cloud-computing environments. These activities
will constitute the service component of the position. Training
responsibilities will primarily consist of organizing and conducting
activities (short courses, workshops, targeted sessions) to promote
training in bioinformatics and data science. Pursuit of independent
research in bioinformatics and data science will be strongly encouraged.
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