Scientist, Computational Biology

Organization
FLX Bio
Job Location
561 Eccles Avenue
South San Francisco, CA 94080
Job Description

Scientist, Computational Biology

FLX Bio, Inc.

 

We are seeking a talented scientist to join the Computational Biology team at FLX Bio.  You will be responsible for tasks including identifying and validating new targets, analyzing in vitro and in vivo assay data, and interpreting genomic data from various sources.  As a key member of a small bioinformatics team, you must be comfortable working independently on a wide variety of tasks and collaborating and communicating with scientists at all levels and disciplines.

 

 

 

Requirements

Candidates should hold a Ph.D. in bioinformatics, genomics, immunology, cancer biology, or a related discipline.  The candidate must have experience working with large genomic data sets, planning Next Generation Sequencing experiments and analyses, and applying machine learning algorithms including classification and regression models.  The candidate must be comfortable working in a Unix-type environment and programming in languages such as R, perl, python, Java, SQL, and/or C.  Particular consideration and will be given to candidates with a strong working knowledge of immunology and/or oncology.

 

How to Apply

Qualified candidates are encouraged to submit a CV and cover letter to [email protected] and refer to job code #CB-009


About Our Organization

FLX Bio is an exciting new company founded on the vision of creating new cancer therapeutics through the innovative application of unexploited insights in immunology. The company was recently formed by a group of seasoned researchers from the biotechnology and pharmaceutical industries, supported by two of the nation’s premier life sciences venture capital firms. We are located in the San Francisco bay area, in the heart of the world’s largest biotechnology research hub. FLX Bio offers a competitive compensation and benefits package, including aggressive participation in the growth of the company in the form of stock option grants.

 

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.