Senior Scientist, Computational Sciences – Computational Antibody Discovery and Design

Bristol Myers Squibb • Needham, MA

1d • Hybrid

About The Position

Bristol Myers Squibb is seeking a collaborative scientist for an interdisciplinary bioinformatics and computational biology role within the Biotherapeutics Computational Design team in Cambridge, MA. This individual contributor position focuses on developing scalable analysis workflows and models for antibody discovery, directly impacting early drug discovery in pre-clinical programs. The successful candidate will develop novel bioinformatics pipelines to analyze next-generation sequencing (NGS) data and create predictive models for antibody discovery and characterization. This role involves partnering with both computational and experimental scientists to design experiments, analyze data, and implement computational models and bioinformatics pipelines. It offers the opportunity to work on cross-functional teams, solve challenging problems, and contribute to advancing the next generation of biotherapeutics at Bristol Myers Squibb.

Requirements

• 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.

Nice To Haves

• 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, developability 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.

Responsibilities

• 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.

Benefits

• 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.
• 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, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays.
• Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees