Postdoctoral Associate Genetics Koch Lab

The Koch lab is seeking a postdoctoral scientist with expertise in population genetics and a motivated interest in human genetics. Our lab develops novel methods theory and analysis paradigms. We are interested in linking selectional and mutational landscapes to patterns of genetic variation associated with human traits and diseases. We do this by integrating evolutionary models with GWAS biobank and functional genomic resources across populations to uncover broadly useful frameworks for interpreting genetic findings in human health.

Appropriate candidates will possess foundational knowledge in population genetics as well as strong quantitative and computational skills. The postdoc will lead projects where they develop and apply new methods for the analysis of human genomic data. Individuals from diverse backgrounds are encouraged to apply.

The Koch lab is located in the Yale School of Medicine which offers an outstanding training environment for postdoctoral scientists with state-of-the-art research facilities and vast resources to support professional development.

Responsibilities

• Develop bioinformatics pipelines for the analysis of large genomic datasets
• Derivation of novel statistical and theoretical models
• Prepare manuscripts for publication
• Attend and present at lab meetings departmental seminars and conferences
• Participating in collaborations with other labs and consortia
• Contribute to the mentoring of students and junior scientists in the lab
• Application for independent funding and assisting the PI in the preparation of grant proposals

Mentoring & Professional Development

We have a strong emphasis on mentorship and value the opportunity to train future leaders in human genetics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made for their goals and interests. Mentorship will be provided for fellowship applications manuscript writing presentations and independence.

The successful candidate will gain access to a range of career development opportunities at Yale. This includes seminars from internationally renowned researchers and Meet the Speaker lunches and professional development and networking activities including via the Yale Postdoctoral Association and Yale Office for Career Strategy.

Candidates should have or be close to obtaining a PhD in either genetics/genomics evolutionary biology computational biology or a related field.

Experience with the Python programming language and the command line interface is required. Experience with one or more of the following is desired: statistical and theoretical population genetics high performance computing environments statistical genetics.

The ideal candidate will also demonstrate:

• A high level of drive and initiative and track record of impactful research outcomes
• Experience writing manuscripts published in peer-reviewed journals
• Ability to work both independently and as part of a team
• Eagerness to learn and establish new methods and good problem-solving skills
• Excellent communication skills both written and verbal
• Desire to contribute to the mentorship of students and junior scientists in the lab