Bristol Myers Squibb Company

Principal Scientist, Disease Stratification

Location
Cambridge, MA, United States
Posted
Sep 07, 2020
Ref
R1521242
Required Education
Doctorate/PHD/MD
Position Type
Full time
At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science.In 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 seek a collaborative and inter-disciplinary computational scientist to supervise and develop methods to generate and validate hypotheses from high-dimensional tissue, cell and molecular profiling data. This individual will drive computational analysis strategies and empower decisions in partnership with BMS Translational Medicine organization.

Analysis scenarios will involve exploratory clinical data and output from transcriptomic, proteomic, genomic, and a wide range of innovative cell-molecular profiling platforms including single-cell assays. Applications range from providing deep insight into tumor progression, understanding of autoimmune disease subtypes and genetics to deriving therapeutic mechanisms of action for existing and novel therapies as they transition into clinic. Previous experience in assay development, including clinically deployable implementations of gene-expression based classifiers, would be valuable.

The position would suit an individual with leadership skills and communication and collaboration skills. Applications are encouraged from those involved in translational biomarker research for oncology and immune-mediated indications in clinical or industrial research environments. The role offers the opportunity to impact directly the delivery of truly ground-breaking therapies in diseases of unmet medical need.

Interest in the application of computational analysis methods to life sciences data is imperative. Areas of particular focus include: elucidation of pleiotropic therapeutic actions via molecular profiling of complex cell culture models; methods to highlight clear mechanistic differentiation between compound mechanisms in key indications; and predictive patient stratification to identify biomarker-defined high-risk subgroups and/or enriched therapeutic response via machine learning analysis of molecular profiling data.

Responsibilities

Working in collaboration with computational, biological and clinical scientists across the BMS Research and Early Development organization, responsibilities include but are not limited to:
  • Managing junior members of the team and active participation as a core team member in the IPS Translational Bioinformatics and Translational Medicine groups.
  • Coordinated application of novel computational analysis and biological interpretation approaches to utilize internal, public and partner datasets and empower decisions across therapeutic programs.
  • Multi-disciplinary teamwork to investigate compound and disease properties, influence decision making across the translational research and clinical development process, and feedback to inform early development of novel therapies.
  • Data integration across assay platforms and knowledge transfer from pre-clinical experiments to clinical trials.
  • Guide development of molecular patient selection and biomarker hypotheses towards clinical diagnostics.
  • Participation in and oversight of scientific report writing. Presentation of methods, results and conclusions to a publishable standard.
  • Contribution to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.


Background experience & complementary knowledge
  • A Ph.D. in computational biology, bioinformatics, or related field from a recognized higher-education establishment.
  • 7+ years' experience of inter-disciplinary computational and molecular biomarker research in university, hospital or biotechnology environments.
  • 3+ years' experience in pharma/biotech research environment preferable.
  • Strong knowledge required of predictive analytical practice and molecular diagnostic development. Working knowledge of clinical statistics desirable.
  • Track record of peer-reviewed publication in relevant scientific journals.
  • Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, and contemporary, open-source bioinformatics tools and database structures.
  • Proven problem-solving skills, collaborative nature and adaptability across fields.
  • Excellent verbal and written communication skills. Proficient verbal and written English language skills prerequisite.


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.