Senior Scientist, Computational Sciences - Computational Antibody Discovery and Design

Senior Scientist, Computational Sciences – Computational Antibody Discovery and Design

Location:

Cambridge Crossing – MA

#LI-Hybrid

• Own end-to-end computational workflows supporting antibody hit discovery and lead prioritization in pre-clinical programs.

• Implement and deploy high-throughput and scalable bioinformatics pipelines to analyze antibody repertoire sequencing and selection NGS data (such as in vitro display or in vivo immunization) with the goal to expedite biologics discovery and design.

• Develop predictive models to analyze and characterize antibody repertoire sequencing data to deliver insights on antibody properties, assess fitness to target candidate profile, and ultimately improve lead candidate identification.

• Serve as computational science partner in antibody discovery programs, design and execute computational experiments to answer program-specific questions.

• Partner with cross-functional project teams to develop bioinformatics & machine learning solutions for novel biotherapeutics.

• Communicate scientific findings to collaborators and other stakeholders, propose follow-up actions with measurable scientific outcomes.

• PhD in bioinformatics, computer science, engineering, statistics, or similar with 4+ years of relevant industry experience.

• In-depth experience analyzing NGS data and building scalable bioinformatics pipelines.

• In-depth understanding of antibody sequence and structure.

• Strong experience with commonly used bioinformatics methods and toolkits for tasks such as sequence alignment, clustering, annotation, and exploratory analysis.

• Strong experience with scientific programming languages (Python, R) and data science libraries.

• Ability to independently conduct scientific research, develop hypotheses, and deliver functional and sustainable solutions without technical debt.

• Excellent problem-solving skills and teamwork.

• Strong communication, documentation, and presentation skills.

• In-depth experience analyzing NGS data, specifically B-cell receptor repertoires from mice immunization campaigns and synthetic repertoires from in vitro display technologies.

• Proven experience building large-scale complex workflows using established workflow orchestrators such as CWL, WDL, Nextflow for high-throughput data analysis.

• Experience with state-of-the-art AI/ML methods applied to biological sequence data such as protein language models, structure prediction models, develop ability and biophysical property prediction models.

• Hands‑on experience with public protein and immune repertoire resources such as PDB, OAS, and SAbDab.

• Proven track record of effective collaboration in multi-disciplinary team projects.

Cambridge Crossing: $148,210 - $179,601

The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job‑related knowledge, and experience. 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

• Health Coverage: Medical, pharmacy, dental and vision care.

• Wellbeing Support: Programs such as BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

• Financial Well‑being and Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment.

Work‑life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

• Phoenix,…