The Oncology Thematic Research Center at BMS is a key research and early development engine, responsible for the discovery and development of novel oncology therapeutics for patients.  Centered at our state-of-the-art research sites in Cambridge and Seattle, scientists focus on novel targets and pathways for tumors that are refractory to current therapies.  With a deep understanding of the causal human biology, we are able to leverage our multiple modality platforms to best match the modality to the mechanism and desired outcome. We are a fully integrated drug discovery through translational and early clinical development organization which exploits state-of-the-art in vitro, in vivo and ex-vivo models of Cancer biology and Immuno-oncology to identify and validate targets. We partner closely with colleagues in Translational Medicine, Informatics and Predictive Sciences and Early Clinical Development to generate biomarker and patient enrichment hypotheses to enable efficient decision making in early clinical trials.  We are optimally positioned to complement the world-class translational expertise, biology and leading academic research centers in the area.

Our Bristol Myers Squibb research site in Cambridge Crossing will help us continue to deliver on our mission, positioning the company and our scientists in the heart of a vibrant ecosystem of world-class science, innovation, and business opportunities.

Position Responsibilities:

In the role as a Sr. Scientist within Discovery Pharmacology and In vivo Biology, the ideal candidate will:

  • Apply scientific, technical skills and functional knowledge to conduct in vivo pharmacology experiments and studies for immune-oncology drug discovery programs. Working closely with project teams and key stakeholders, design, execute and deliver in vivo studies from target concept to Proof of Concept in patients.
  • Characterize therapeutic candidates in vivo and build PK PD and efficacy relationship as part of the lead selection process.
  • Develop state of the art in vivo models, experimental protocols and relevant immune-oncology assays and employ innovative methods and technologies to test therapeutic hypotheses.
  • Work with cross-functional teams and participate in implementation of program strategy and translational strategies to support regulatory filings.
  • Execute experiments and deliver comprehensive high quality data sets to help decision making in a timely manner. Analyze results of complex experiments and present comprehensive technical or project reports at project team meetings.
  • Mentor and train junior level research associates.

Experience =

Basic Qualifications:

  • Bachelor’s Degree
    • 7+ years of academic and / or industry experience

Or

  • Master’s Degree
    • 5+ years of academic and / or industry experience

Or

  • Ph.D. or equivalent advanced degree in the Life Sciences
    • 2+ of academic and / or industry experience

Preferred Qualifications:

  • Ph.D. or equivalent advanced degree in the Life Sciences with 2+ years of relevant academic and / or industry experience in immune-oncology and expertise in in vivo pharmacology.
  • Experience using cell line derived and/or patient derived xenograft mouse models, and syngeneic models to enable candidate selection is required.
  • Skilled and proficient at independently conducting model development, efficacy, PK/PD and combination studies and perform necropsy and tissue/blood collection.
  • Proficiency in cell culture, passaging and harvesting cells is required. Skilled at murine dosing via PO, IP, IV, SC routes.
  • Attention to detail with excellent organizational and record keeping skills is a requirement. Ability to work collaboratively across departments, understand and implement applicable regulations around animal care/safety/handling desired.
  • Extensive expertise with multi-parameter flow cytometry for immunophenotyping is highly desired.
  • Demonstrated expertise in ex-vivo assays such as MSD, ELISAs, qPCR, western blotting.
  • Proficiency in utilizing software such as GraphPad Prism, electronic lab notebooks, etc. for data analysis and figure generation is required.
  • Excellent interpersonal and communication skills with the ability to interact effectively with internal colleagues is required. 

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