Postdoctoral Research Associate Position in Computational Biology - Pritykin Lab

The Lewis-Sigler Institute for Integrative Genomics at Princeton University; Princeton (NJ); On-site; USD 60,000 - 80,000; Full time

Job summary

The Lewis-Sigler Institute for Integrative Genomics at Princeton University invites applications for a Postdoctoral Research Associate in the Pritykin Lab. The position focuses on computational biology, leveraging machine learning and quantitative methods to study regulatory genomics and immunology.

Appointment is typically for one year with renewal possible pending performance and funding; senior candidates may have multi-year appointments.

Qualifications

• PhD in a relevant field required.
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• job_responsibilities_description

Responsibilities

• Lead and contribute to collaborative projects in computational biology.

Skills

computational biology

data analysis

machine learning

statistics

Education

PhD in a relevant field

Job description

Postdoctoral Research Associate Position in Computational Biology - Pritykin Lab

A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University.

Description

We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge technologies.

The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments.

The Pritykin lab (http://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing technologies; and applies these methods to study regulatory genomics of cell function and cell-cell interactions, with a focus on immunology and cancer. The successful candidate will have an opportunity to lead and contribute to a range of exciting collaborative projects and develop new projects.

This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate.

Qualifications

PhD in a relevant field is required. Strong track record of productivity is essential. Experience with biological data analysis is a plus but not required.

Equal Employment Opportunity Statement

Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Pay Transparency Disclosure

The University considers factors such as (but not limited to) the scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

The University also offers a comprehensive benefits program to eligible employees. Please see this link for more information.