Flexus Biosciences 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 one 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. Flexus Biosciences offers a competitive compensation and benefits package, including aggressive participation in the growth of the company in the form of stock option grants.

The Quantitative Biology Senior Scientist will be responsible for developing and validating biochemical and cell-based assays for new molecular targets selected for drug discovery programs. Working closely with our biology and chemistry teams, He/She will be charged with delivering high quality potency, selectivity and characterization data to profile and evaluate compounds generated by our chemistry team. Design and execution of sophisticated kinetic analyses of enzymes and receptors with novel inhibitors, antagonists etc. is a central component of this role. The data generated by the Quantitative Biology group is a critical element in the selection of drug candidates and the advancement of carefully selected programs into clinical evaluation. The successful candidate will be expected to work closely with the leadership team to make key decisions on compound and program progression.

The candidate should hold a Ph.D. in biochemistry or related quantitative biological discipline and will have conducted post-doctoral research with a significant receptor and/or enzyme pharmacology component. A minimum of 6 years post-doctoral research experience in a drug discovery environment is expected and a history of applying assay development in the area of immunology or cancer biology is preferred. The Quantitative Biology group will rely heavily on laboratory robotics and automated data analysis. Training will be provided but an enthusiasm for technology and a commitment to developing and leveraging automated techniques is a prerequisite as is an excellent scientific publication record and a strong reputation as a thought leader. The role demands a highly goal-driven approach and the ability to focus on time-sensitive objectives. The candidate should also enjoy operating in an exceptionally dynamic and cooperative environment in which the “rules book” has not yet been written.

Please use our on-line application process to apply.