ABOUT US

Founded in 1998, Sunesis is a clinical-stage biopharmaceutical company focused on the discovery, development and commercialization of novel small molecule therapeutics for oncology and other unmet medical needs. We are advancing our product candidates through in-house research and development efforts and strategic collaborations with leading pharmaceutical and biopharmaceutical companies. We believe the quality and breadth of our product candidate pipeline, platform technology, strategic collaborations and scientific team will enable us to become a fully integrated biopharmaceutical company with a diversified portfolio of novel therapeutics for major diseases.

DESCRIPTION

As a vital member of our Computational Sciences group, you will perform computational biology analyses in support of translational research at Sunesis. You will have the opportunity to implement and apply diverse computational biology methods in aiding multiple groups and project teams to interpret, integrate and capitalize on the results of genomic, proteomic, and pathology experiments. You will also serve as a key partner in translating research findings to improved clinical outcomes.

RESPONSIBILITIES

• Collaborate with translational research groups and therapeutic area project teams to analyze data, develop hypotheses, and design experiments
• Perform statistical analysis of data from high-throughput biology experiments such as genomic microarrays and mass spectrometry proteomics
• Identify, implement, and validate computational biology methods and infrastructure, and collaborate with IT and informatics groups
• Mentor computational and experimental Scientists on benefits and caveats of analysis and experimental design
• Remain current on scientific literature, and develop external reputation via presentations and publications

REQUIREMENTS

• A Ph.D. or equivalent in Computational Biology, Bioinformatics, Statistics, Biology, Genomics, Biophysics, Computer Science, or related field, with demonstrated accomplishments in biological data analysis
• 2-4 years of drug discovery experience, preferably in an industrial small molecule setting
• A solid understanding of biology and drug discovery principles, especially as related to cancer
• Proven experience analyzing genomic and proteomic data with a variety of statistical and machine learning techniques
• Hands-on programming experience, with a strong preference for C, C++ and Python in Unix and Windows environments
• Proficiency with relational databases/SQL (e.g., MySQL, Oracle platforms), as well as R/S-plus, ideally with experience using Bioconductor
• Strong multi-tasking and written/verbal communication skills
• The ability to excel in a highly dynamic, matrixed, team-oriented environment
• Familiarity with small molecule and protein structure modeling methods is a plus.

WORK ENVIRONMENT

Sunesis offers a friendly work environment that is intellectually inspiring and professionally stimulating. Recognizing that motivated employees are central to our success, we are dedicated to providing rewarding careers and continued opportunity for advancement. Sunesis values excellent science, technology and novel pharmaceutical discovery, and encourages teamwork and a collegial environment. We are proud to be an equal opportunity employer.

HOW TO APPLY

For immediate consideration, please reference Job Code: 639-BSP and email your resume & cover letter to: jobs[at]sunesis.com. You may also fax/mail your resume to:

Sunesis Pharmaceuticals, Inc.
HR Department
Attn: Job Code: 639-BSP
341 Oyster Point Drive
South San Francisco, CA 94080
FAX: 650.266.3503

http://www.sunesis.com