Research Investigator, Translational Bioinformatics

Bristol-Myers Squibb is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases.

One shared journey is moving us forward at Bristol-Myers Squibb. Around the world, we are passionate about making an impact on the lives of patients with serious disease. Empowered to apply our individual talents and ideas so that we can learn and grow together. Driven to make a difference, from innovative research to hands-on community support. Bristol-Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees the resources to pursue their goals, both at work and in their personal lives.

Responsibilities:

"Oversee all aspects of analyses of cytometry data including: data processing, data management, analysis and hypothesis generation from large multi-parameter cytometry data sets.
"Provide subject matter advice to collaborating teams.
" Interact and collaborate with scientists within Discovery, Translational Bioinformatics, IT, Translational Medicine, and Clinical Development.
"Make decisions, set priorities and share resources based on what will benefit the whole group.

• Ph.D. in a technical field (e.g. in Physics, Mathematics, Engineering, Statistics, Biology, or similar) plus 6 years of experience in an academic, government, or industry setting
• Significant hands-on experience with complex data quality control and analysis

• Experience with commercial Flow Cytometry software including BD FACS Diva, FlowJo, FCS Express, Cytobank, ViSNE, TiSNE, etc.
• Excellent programming skills (e.g. R, Pyton, Perl, NodeJS)
• Experience with and understanding of multi-parameter data analysis, with a focus on hands-on application of these skills
• Proven track record in handling multiple parallel internal and external collaborations

• Fluency with Linux-based high-performance computing environments, R/Bioconductor, and reproducible research practices
• Strong problem-solving and collaboration skills, and rigorous and creative thinking
• Excellent written and oral communication skills, including an ability to explain complex ideas to computational scientists, experimentalists, and clinicians
• The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization.