Computational Postdoctoral Fellow (bioinformatics/machine learning job)

Cold Spring Harbor Laboratory
Simons Center for Quantitative Biology
United States New York Cold Spring Harbor
www.cshl.edu/research/quantitative-biology/

Description

Two computational postdoctoral positions are available immediately at Cold Spring Harbor Laboratory (CSHL) in the lab of Saket Navlakha ( navlakhalab.net/ ).

Why work at CSHL?
* Work on picturesque Long Island steps away from the ocean. Eat lunch at the beach.
* Competitive salary and comprehensive benefits program, including medical and dental insurance.
* On-site, affordable, and licensed childcare center.
* One hour from New York City.
* World-renown biomedical research institute ranked #1 in research output worldwide by Nature.
* Warm, collegial, and collaborative work environment.
* Has been home to eight Nobel Prize winners in Physiology or Medicine.
* Unprecedented access to experts in nearly every biomedical field thanks to the Meetings and Courses program.

Position details
* Work at the interface of theoretical computer science, machine learning, and systems biology.
* Develop bleeding edge machine learning algorithms to answer fundamental questions about biology and disease.
* Discover new ideas for computation by studying problem-solving strategies used in nature (“algorithms in nature”).
* Recent lab successes have been in neural circuit computation and plant architecture optimization, but suggestions for new areas of interest (e.g. cancer) are also welcome.
* Ample opportunities to publish in high tier journals (PI has recent publications in Science and PNAS).


Qualifications

Required Qualifications
* PhD (or graduating soon) in computer science or related computational/bioinformatics field.
* Strong algorithmic and programming skills.
* First author publications in computational biology conferences or journals.

Preferred Qualifications
* Strong publication track record. A first author publication in a high impact factor (>4-5) journal or a paper presented at a top conference (e.g. RECOMB, ISMB, WABI, PSB, BIBM, NIPS, ICML, KDD, PAKDD, ICLR, AISTATS, UAI, ICDE, ICDM, SDM, or CIKM).
* Computer science PhD.
* Machine learning experience.
* Experience or interest in learning biology and collaborating with experimentalists.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

CSHL is an EO/AA Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status.


Start date

As soon as possible

How to Apply

Please submit a CV and a short description of how your research interests overlap with the PI's to paul@talentseq.com .


Contact

paul@talentseq.com