Scientist, Computational Biology (Job Code #SCICB) at FLX Bio
San Francisco, CA, US

FLX Bio is a biotechnology company focused on the discovery and development of novel drugs that will improve and prolong the lives of people with cancer. The company is led by a group of seasoned researchers from the biotechnology and pharmaceutical industries and is supported by several of the nation’s premier life sciences venture capital firms. The company is located in the San Francisco Bay area, in the heart of the world’s largest biotechnology research hub. We offer a competitive compensation and benefits package, including aggressive participation in the growth of the company in the form of stock option grants.




We are seeking a highly-motivated scientist for tasks including analysis of large and small public transcriptomic data sets, development and implementation of bioinformatic algorithms, and interpretation of omic data from various sources in the context of identifying and validating targets in ImmunoOncology. Projects include target discovery and validation, mechanism-of-action elucidation, toxicity prediction, and biomarker identification.


Project team participation will be expected as well as the ability to lead colleagues in asking and answering computational biology questions. You will work independently on a wide variety of tasks and collaborates with scientists at all levels and disciplines. As a key member of a small Computational Biology team, you will have the opportunity to be involved in projects from Discovery through to the clinic.



Ph.D. in bioinformatics, genomics, immunology, cancer biology, or a related discipline. 2+ years postdoc preferred.

Experience working with large genomic data sets, planning Next Generation Sequencing experiments and analyses, and applying machine learning algorithms including classification and regression models.

Comfort with working in a Unix-type environment and programming in languages such as R, python, and perl.

Excellent written and oral communciation skills are expected

A strong background in biology is important, with experience in immunology or oncology a plus.

Qualified candidates are encouraged to submit a resume/CV and cover letter. Please refer to the corresponding job code when applying.