• Job Description

  Req#: R1577285

  Working with Us
  Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

  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. Read more: careers.bms.com/working-with-us .

  Data Scientist

  When you join BMS, you are joining a diverse, high-achieving team united by a common mission.

  BMS encompasses a broad range of disciplines to enable a robust pipeline of drug candidates aimed at serious diseases. Chemistry is a core capability in Small Molecule & Drug Discovery (SMDD) with innovative scientists working in medicinal chemistry, radiochemistry, analytical chemistry, and large-scale synthesis. Within SMDD our Lead Discovery and Optimization (LDO) team is responsible for high throughput screening, compound storage and distribution, primary assays to support discovery programs, and compound profiling to explore drug liabilities in vitro. LDO scientists discover and adopt cutting edge assay technologies that utilize state-of-the-art automation to drive speed and efficiency. Our Molecular Structure and Design team embraces novel approaches to computer-aided drug design, machine learning, and structural biology. The integration of these disciplines provides a seamless and highly interactive environment for discovery scientists to learn, develop, and innovate. Working in partnership with our disease area experts in the Thematic Research Centers provides an exciting pathway to discover and deliver medicines to patients in need.

  Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

  We are seeking a highly motivated drug discovery data scientist to join our Data Science and Advanced Analytics team in LDO. Our team is responsible for developing informative analysis tools and inferential models for machine learning (ML)-enhanced lead discovery. We are passionate about integrating ML with target-based and phenotypic screens to drive discovery of the next generation of novel medicines. Our team works collaboratively with bench scientists and data scientists across the research organization to address key scientific questions driven by project needs. This is a unique opportunity to enhance your career developing cutting edge solutions for real world impact. Join us as we transform the drug discovery process to enable rapid progression of medicines to patients.

  Responsibilities

  • Formulate hypotheses to address key scientific questions, develop ML and analytics tools to address at scale, and integrate to enable ML-enhanced drug discovery
  • Champion the evaluation and implementation of next generation ML and analytics tools
  • Utilize necessary tools to extract and prepare datasets for downstream consumption in models and analytics
  • Write and document programming code in one or more languages (Python preferred) to facilitate data preparation / cleaning, model development, evaluation, and deployment
  • Create deployable tools to enable customer interaction with datasets and models
  • Collaborate across R&D data science teams to develop enterprise strategies for machine learning in drug discovery
  • Present analyses and results to technical and non-technical audiences
  • Represent LDO in machine learning and data science forums

  Basic Qualifications

  • Bachelor’s Degree with 5+ years of academic / industry experience, or
  • Master’s Degree with 3+ years of academic / industry experience, or
  • Recent Ph.D.

  Preferred Qualifications

  • Ph.D. with 0-2+ years of experience in a relevant field with a focus in machine learning and drug discovery. Postdoctoral or industry experience a plus.
  • Expert knowledge of one or more scripting programming languages, preferably Python, with a focus on machine learning
  • Ability to extract information from databases using a variety of software packages (e.g., Oracle SQL developer)
  • Ability to build and maintain databases aligned with enterprise solutions is desirable but not required
  • Strong analytical and problem solving skills to understand technical business problems and implement solutions
  • Ability to work effectively on matrixed teams to collaboratively solve challenging problems, while also able to work independently with minimal resources
  • Good interpersonal, communication, writing and organizational skills
  • Ability to summarize technically/analytically complex information for a non-technical audience

  If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

  Uniquely Interesting Work, Life-changing Careers
  With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

  On-site Protocol
  Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

  BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

  BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

  BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

  Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

• About the company

  BMS' primary R&D sites are located in Lawrence, New Jersey, New Brunswick, New Jersey, and Redwood City, California; with other sites in Devens and Cambridge, Massachusetts, East Syracuse, New York, Braine-l'Alleud, Belgium, Tokyo, Japan, Bangalore, In...

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