Principal Scientist, Computational Biology

Responsibilities

• Perform computational research and integrative analyses on multimodal biological profiling datasets (e.g. transcriptomic, proteomics, single cell omics, spatial profiling) that you help to design together with wet lab scientists to support early pipeline programs
• Apply machine learning, and other advanced computational/ statistical approaches, to compare high-dimensional experimental readouts from perturbation experiments/screens (e.g. CRISPR screens, perturb-seq, cellular imaging) to disease states defined by patient data and work as part of a cross-functional team to nominate and validate new targets for Neuro, Cardiovascular and Autoimmune diseases indications
• Work with external partners in industry, academia, and pre-competitive collaborations (e.g. NIH Accelerating Medicines Partnership) on novel computational and experimental approaches
• Communicate findings and recommend follow-up actions in multiple settings (including 1:1, seminars, and team meetings)

Basic Qualifications

• PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline and 5+ years of post-graduate experience
• Advanced hands-on knowledge of at least one high-level programming language such as R or Python for computational research and reproducible research practices

Preferred Qualifications

• 5+ years of post-graduate experience in computational biology research (biopharma industry preferred) with track record (such as scientific publications) in driving and advancing research projects/programs with computational approaches
• Hands on experience analyzing and integrating high-dimensional molecular datasets such as multi-omics (RNA-seq, ATAC-seq, proteomics, ChIP-seq/CUT&RUN), single cell profiling (CITE-seq, scATAC-seq, perturb-seq) and/or spatial profiling to derive novel biological insights
• Strong quantitative skills, with hand on experience implementing and/or developing statistical methodologies and machine learning algorithms (such as single cell foundation models) applied to the biological problems
• Background in human disease biology, especially in areas of autoimmune diseases strongly preferred
• Experience applying computer vision models to cellular imaging data preferred
• Experience utilizing and applying AI agent such as claude coding to accelerate workflow preferred
• Scientific curiosity with an ability of self-learning
• Strong oral and written communication skills

Additional information

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

Compensation Overview

Cambridge Crossing: $166,770 - $202,086

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully - carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans - including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

• U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
• Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

How We Work

• Where you work matters - because collaboration, innovation and patient impact happen in many settings.
• Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design.
• The model assigned to this role is based on its core responsibilities.

Data Protection

• We will never request payments, financial information, or social security numbers during our application or recruitment process.
• Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

• If this posting is missing required information required by local law or incorrect, contact BMS at with the Job Title and Requisition number.
• Do not send application-related inquiries to this email.
• To check your application status, please login to your Candidate Home Account.

R1603662: Principal Scientist, Computational Biology