Senior Scientist, Computational Biology
Princeton, New Jersey
Expiry Date :
Sun, 07 Mar 2021 23:59:59 GMT
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At Bristol Myers Squibb, we are inspired by a single vision transforming patients lives through oncology, hematology, immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. We are seeking a collaborative and innovative scientist to join the Predictive Sciences group. As part of the Immunology, Cardiovascular, & Fibrosis (ICF) Computational Biology team, you would be responsible for helping advance Bristol Myers Squibbs ICF pipeline through the application of bioinformatics, machine learning, network analysis, and statistics approaches on omics data sets. You would help design experiments and conduct analyses to nominate novel drug targets, enable patient enrichment strategies, and guide pre-clinical drug development decisions. You would communicate with colleagues across the organization and influence R & D at BMS, from target discovery through early-stage development. Responsibilities: – Collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using internal and external omics datasets – Develop computational models and tools to enable data-driven target prioritization – Drive implementation of predictive models that can illuminate biological mechanisms and enable patient stratification – Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, group, and project meetings) Qualifications: – Ph.D. in bioinformatics, computational biology, engineering, statistics, molecular biology, immunology, genetics, or similar Or MS in bioinformatics, computational biology, engineering, statistics, molecular biology, immunology, genetics, or similar plus 10 years relevant experience. – Demonstrated ability of contributing to and helping advance multi-disciplinary team projects – Proficiency with at least one high-level programming language such as R or Python for complex data analysis and reproducible research practices – Experience analyzing high-dimensional molecular datasets such as RNA-Seq, Exome and Whole Genome Sequencing, single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry – Working knowledge of statistical tests and machine learning algorithms and their application to health care datasets – Scientific curiosity with an ability to identify questions bioinformatics approaches can address, and the skills to develop solutions both independently and collaboratively – Strong communication, data presentation, and visualization skills – Background in ICF diseases (e.g. autoimmune diseases, heart failure, and fibrosis) and/or experience working with clinical trial data is a plus Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. 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 with the resources to pursue their goals, both at work and in their personal lives.