Principal Scientist

3 weeks ago

Redwood City, United States Bristol-Myers Squibb Full time

**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.

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

The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company." We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.

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.

**Responsibilities**
- Design, develop, and validate advanced machine learning-powered image analysis algorithms for quantitative histopathology.
- Manage, process, and analyze large pathology datasets (internal and public), ensuring data quality and integrity.
- Collaborate with pathologists and other scientists to understand clinical biomarker needs and integrate learnings into algorithm development.
- Implement and monitor quality control processes for AI model performance.
- Document algorithm development processes and report on project progress and outcomes.

**Basic Qualifications**:

- Bachelor's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 8+ years of academic / industry experience
- or Master's Degree in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 6+ years of academic / industry experience
- or PhD in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline and 4+ years of academic / industry experience

**Preferred Qualifications**:

- Advanced degree (PhD preferred) in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline; 3 or more years of related experience in a university pathology lab or a biopharma company.
- Proficient in machine learning, deep learning, computer vision, and image processing techniques.
- Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.)
- Strong analytical skills with the ability to interpret complex data and translate findings into actionable insights through statistical analysis and visualization.
- Prior experience in morphometric feature extraction across various tissue patterns, cell types, and stainis desired.
- Familiarity with complementary bioinformatics analysis techniques and data such as survival analysis, RNA and/or genomic sequencing measurements is a strong plus.
- Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
- Experience with machine learning lifecycle management tools (e.g., MLflow) is a plus.
- 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 and to present coherently and concisely.
- Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.
- Track record of scientific leadership exemplified by first author peer-reviewed publications ideally related to pathology image analysis.

The starting compensation for this job is a range from $121,000 - $167,200, plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual 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 on benefits, please visit our BMS Career Site.
- and long-term disability, life insurance,

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