Postdoctoral Fellow – Computational Biology: The Koo Lab at the Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory (CSHL), is seeking a motivated and self-driven postdoctoral fellow to work at the intersection of machine learning and genomics. The successful candidate will develop and apply advanced machine learning and deep learning techniques to investigate gene regulation mechanisms. This position offers a unique opportunity to collaborate with leading researchers, leverage high-throughput functional genomics data, and contribute to precision medicine strategies for complex diseases such as cancer.
Postdoctoral Fellow – Computational Biology (Koo Lab)
Position Summary Table:
| Designation | Postdoctoral Fellow |
|---|---|
| Research Area | Computational Biology, Machine Learning, Genomics |
| Location | Cold Spring Harbor Laboratory, New York |
| Eligibility/Qualification | PhD in Computational Biology, Computer Science, Bioinformatics, Biophysics, or a related quantitative field |
| Application Deadline | Open until filled |
Job Description:
The postdoctoral fellow will:
- Develop and implement machine learning and deep learning models to analyze high-throughput functional genomics data (ChIP-seq, RNA-seq, ATAC-seq).
- Investigate sequence-function relationships in cis-regulatory regions to identify sequence motifs and regulatory elements involved in gene expression.
- Enhance model interpretability techniques to gain mechanistic insights into regulatory processes.
- Collaborate with experimental biologists to validate computational predictions and integrate multi-omic data.
- Contribute to the development of computational tools and resources for the broader research community.
- Communicate findings through publications, presentations, and collaborations.
Eligibility/Qualifications:
- PhD (or near completion) in Computational Biology, Computer Science, Bioinformatics, Biophysics, or a related quantitative field.
- Strong publication record with at least one first-author research paper or preprint in quantitative biology or machine learning.
- Proficiency in Python programming.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or JAX is a plus.
- Knowledge of language models, explainable AI, robust ML, causal inference, fairness, active and lifelong learning is advantageous but not required.
- Experience in both machine learning and genomics is desirable, but expertise in one field and enthusiasm to learn the other will be considered.
How to Apply:
Interested candidates should email Peter Koo (koo@cshl.edu) with:
- A cover letter
- CV
- Contact information for two references
Additionally, applicants should apply via the CSHL careers website.
Compensation & Benefits:
- Salary: $78,000 per annum.
- Comprehensive health benefits, retirement plans, paid time off, wellness programs, and professional development opportunities.
About Cold Spring Harbor Laboratory:
CSHL is a world-renowned biomedical research institution, home to eight Nobel Prize laureates, and offers a highly interactive and dynamic research environment. The Simons Center for Quantitative Biology provides an interdisciplinary setting for genomics, evolution, biophysics, immunology, and neuroscience research. Researchers benefit from access to CSHL’s Meetings and Courses program, fostering collaborations and scientific growth.
Equal Opportunity Employer:
CSHL is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status.
Join us in advancing machine learning-driven genomics research to revolutionize precision medicine!
