Company Description

Every Exelixis employee is united in an ambitious cause: to launch innovative medicines that give patients and their families hope for the future. In this pursuit, we know our employees are our most valuable asset. After operating in the challenging biotech sector for 25 years, we have a proven track record of resiliency in the face of adversity. The success of our lead product has provided a solid commercial foundation allowing us to reinvigorate our research efforts, and grow our team in areas such as Drug Discovery, Clinical Development and Commercial.

As we expand our global partnerships and further reinvest in R&D to help us discover the next breakthrough for difficult-to-treat cancers, we’re seeking to add talented, dedicated employees to power our mission.

Cancer is our cause. Make it yours, too.

Job Description

The Principal Bioinformatics and Data Scientist is a highly motivated bioinformatician and data scientist who has experience in conducting computational analyses of clinical and multi-omics data sets to identify potential predictive, prognostic and pharmacodynamic biomarkers.

Summary/Job Purpose

Qualifications

The Principal Bioinformatics and Data Scientist is a highly motivated bioinformatician and data scientist who has experience in conducting computational analyses of clinical and multi-omics data sets to identify potential predictive, prognostic and pharmacodynamic biomarkers.

Essential Duties And Responsibilities

• Analyze genomic, cellular, and targeted proteomic biomarker data collected from clinical trials and correlate with clinical outcomes
• Collaborate with discovery, clinical translational medicine scientists and preclinical translational pharmacology scientists to develop an early biomarker strategy
• Support clinical translational data analysis and data management and serve as data science lead for clinical studies
• Maintain internal data base of clinical biomarker data (e.g. flow cytometry, next-generation sequencing, gene expression, IHC and immunoassays)
• Perform independent data analyses and provide timely delivery of results with input on analysis goals from translational medicine study team leads
• Present analysis results internally and externally in medical conferences and publish in high quality scientific and medical journals

Supervisory Responsibilities

N/A

Education

EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS:

• PhD in the Computational Biology discipline or related discipline and a minimum of five years of related experience; or,
• Master’s in Computational Biology or a related discipline and a minimum of 11 years of related experience; or,
• Bachelor’s in Computational Biology or a related discipline and a minimum of 13 years of related experience; or,
• Equivalent combination of education and experience

Experience/The Ideal Candidate Will Have

• Experience with advanced data analysis tools and approaches in in the pharmaceutical and biotech industries
• PhD preferred

Knowledge/Skills

• Skilled in different programming languages (e.g. R, Matlab, Python), database languages (e.g., MySQL), and software programs (e.g. Spotfire, Tableau, JMP)
• Skilled in managing and analyzing large genomic datasets from preclinical and clinical studies as well as public genomic databases (e.g. TCGA, dbGAP).
• Ability to integrate data from multiple sources for comprehensive analyses
• Applied knowledge of different biomarker approaches such as genomics, IHC, flow cytometry and targeted proteomics
• Can apply big data analysis tools and advanced data analysis techniques including different machine learning approaches
• Ability to analyze and interpret biomarker data and correlate with oncology clinical trial outcomes
• Works well in team setting
• Excellent verbal and written communication skills

Discovery/Alameda

WORKING CONDITIONS:

• Environment: office work from remote location
• Travel involves quarterly visits to Exelixis sites and attending 1-2 conferences per year.

Additional Information

DISCLAIMER

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.