Senior Imaging Scientist, Data-Driven Innovation

5 days ago

San Diego, California, United States Bristol Myers Squibb Full time

Bristol Myers Squibb is a leading biopharmaceutical company that transforms patients' lives through science. We empower our employees to apply their 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 colleague.

We are seeking a highly motivated Senior Imaging Scientist to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. In this role, you will identify and implement strategies for analyzing digital pathology slides using cutting-edge tissue-based image analysis approaches, often in multi-modal context. You will collaborate with stakeholders including clinical trial scientists, pathologists, computational biologists, and software engineers.

The successful candidate will have experience with deep learning-enabled workflows: semantic segmentation, instance segmentation, graph neural networks, etc. They will also work closely with colleagues in Applied Machine Learning to build out cutting-edge AI methods that extend our capabilities: weakly supervised multi-instance learning (MIL), foundational models, etc.

This is a challenging yet rewarding opportunity for a scientist who thrives in a fast-paced environment and is passionate about advancing medical imaging and AI research. If you have a strong background in biomedical engineering, computer science, or a related field, we encourage you to apply.

Responsibilities:

  • Hands-on implementation and use of pathology whole slide image analysis tools and technology
  • Collaboratively devise and execute research strategies that drive decision making in pre-clinical and clinical programs
  • Work alongside imaging scientists to manage, prepare, and analyze pathology whole slide images to support translational research across multiple disease/therapeutic areas, including oncology, immunology, and neuroscience.
  • Active participation in identifying, testing, and enabling use of pathology image management and analysis systems, tools, and technology.
  • Coordinate stakeholders, guide/supervise junior researchers, often in a matrixed setting
  • Prepare and present findings from image analysis projects to other groups within BMS and externally at conferences/workshops.

Basic Qualifications:

  • Bachelor's Degree 8+ years of academic / industry experience
  • Or Master's Degree 6+ years of academic / industry experience
  • Or PhD 4+ years of academic / industry experience

Preferred Qualifications:

  • Ph.D. in Biomedical Engineering, Computer Science, Bioinformatics, or related discipline; or M.S. with 3 or more years of related experience in a university pathology lab or pharmaceutical or biotech company.
  • Proficiency in programming languages (Python, R, etc.) and data analysis tools (Jupyter Notebooks, Pandas, RStudio, etc.).
  • Experience with one or more digital pathology analysis software packages; including HALO, Visiopharm, QuPath and/or other image analysis platforms.
  • Experience with high-performance & cloud computing, container strategies (e.g. Docker), developer tools and machine learning lifecycle management tools highly valued.
  • Prior experience in developing deep-learning based image analysis workflows for hematoxylin & eosin (H&E), chromogenic immunochemistry (IHC), and multiplexed immunofluorescence (mIF) images preferred.
  • Strong problem-solving and collaboration skills, and rigorous and creative thinking.
  • Excellent written and oral communication skills, including an ability to collaborate effectively with lab scientists and pathologists.
  • Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
  • Track record of scientific leadership exemplified by peer-reviewed publications, ideally related to pathology image analysis.

This is an on-site position, with flexibility of 50% remote work, based at any of BMS' research sites: Cambridge (MA), Lawrenceville (NJ), Seattle (WA), San Diego (CA) or Brisbane (CA)

The estimated salary range for this role is $129,000 to $177,100, plus incentive cash and stock opportunities (based on eligibility). Final compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more information on benefits, please visit our BMS Career Site.

Benefit offerings include medical, pharmacy, dental, and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection, and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder, and pet care resources. Other perks like tuition reimbursement and a recognition program.

#LI-Hybrid

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.

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