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Biostatistician with SAS Programming II Biostatistician with SAS Programming II
Ref No.: 18-08628
Location: Cambridge, Massachusetts
Cancer Genomics - Bioinformatician - cbioportal developer
We seek an experienced bioinformatics scientist / computational biologist to join a dynamic Translational Medicine bioinformatics group dedicated to the development of cancer therapeutics. In this role you will

•Proactively engage with a team of computational and bench biologists to gather requirements and to design and to specify modifications to the open-source cancer genomics cbioportal to enable Gene Set Enrichment Analysis
•Interface with scientists from sanofi, academic instructions, and third party software developers to clarify and prioritize requirements as well as mock-up designs to satisfy those requirements
•Document requirements and communicate the design in such a way that the software that is delivered will meet needs of computational and bench biologists
•Suggest any computational, statistical, machine learning or modeling capability needed to achieve the goals above
•Curate clinical and preclinical datasets (both syntactic and semantic) to populate the portal with content
Experience: 3 to 6 years.

An ideal candidate will be collaborative, self-directed and possess
•Experience in software requirements gathering, documentation, design, and development
•Deep hands-on experience in cancer genomics is required
•Deep hands on-experience in Gene Set Enrichment Analysis is required
•Deep hands on-experience in the open-source cbioportal application is preferred
•Deep hands on-experience in data curation is required
•Experience at integrating publicly or commercially available genetic, genomic, and interaction datasets is a plus
•Statistical programming skills like, SAS/S-plus, R/bioconductor and pipeline pilot or equivalents are a plus
Required Key Attributes
•Positive, proactive can-do mindset
•Demonstrated ability to lead projects of moderate scope, mapping-out critical path, milestones and timelines, as well as manage customer expectations with minimal supervision
•Developed communication and presentation skills and a successful track record of collaborating with cross-functional scientific teams