Postdoctoral Positions

Part of the mission of the Salk Institute for Biological Studies is to train individuals for careers in scientific research. The expectation is that trainees will study in the many new fields developed by Institute faculty, learn the research techniques they have created, and go on to positions of leadership in other prominent scientific institutions. Postdoctoral training opportunities at the Institute are posted below.

If you are interested in working with a faculty member who does not have a posting below, you should correspond directly with that faculty member.

If you have recently accepted a postdoctoral position at the Institute, please contact Academic Services.

The Salk Institute is an Equal Opportunity Employer.

Recommended browsers using a PC or a Mac: IE 7+, Firefox, Safari on the Mac, Chrome.
      Successful submissions with tablets and smartphones cannot be guaranteed.
All posted positions close at 11:59 PST of the Closes On Date, unless posted as Open Until Filled.
←Return to List
Job #: E467
Posted Date: April 22, 2016
Closes On: Open Until Filled
Job Title: Research Associate - Center for Integrative Biology, Dr. Saket Navlakha
Status: Regular Full Time
Benefits Eligible: Yes
Laboratory/Department: Integrative Biology Laboratory
With new emerging technologies, biologists are producing massive amounts of data that could unveil the rules that govern complex biological processes and how these processes are disrupted by diseases. The Integrative Biology Laboratory is interested in developing new algorithmic and computational methods to decipher this data and help inform future experiments.
Position Description:

A post-doc position in Dr. Navlakha's lab in the Center for Integrative Biology is available immediately. We are looking for highly motivated computational post-docs interested in molecular and cellular network analysis (network robustness, evolution, development, etc.); algorithms in nature (information processing and computation in biological systems); and bioimage informatics. We typically develop combinatorial (graph-based) or machine learning algorithms to address important biological questions.

Working at The Salk Institute provides a unique opportunity for computational scientists to integrate theory and experiment to bear on deep and complex scientific questions. Overlooking the Pacific Ocean, the Salk Institute offers a warm, collegial and collaborative work environment, with UCSD also right across the street.

Education:

PhD in computer science or related field.

Experience:

Strong algorithmic and programming skills, publications in top conferences or journals, experience in computational systems biology.

Application Instructions:

Applicants should send curriculum vitae, contact information for three references to:

Dr. Saket Navlakha
Email: navlakha@salk.edu