Senior Scientist, Computational Sciences – Computational Antibody Discovery and Design Full-time

Senior Scientist, Computational Sciences – Computational Antibody Discovery and Design

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. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.

Job Description

We are seeking a collaborative scientist for an interdisciplinary bioinformatics and computational biology role in the Biotherapeutics Computational Design team in Cambridge, MA. This is a technically deep individual contributor role focused on building scalable analysis workflows and models for antibody discovery, with direct impact on early drug discovery in pre-clinical programs. You will develop novel bioinformatics pipelines to analyze next-generation sequencing (NGS) data and build predictive models to discover and characterize antibodies. You will partner with both computational and experimental scientists to design experiments, analyze data, and implement computational models and bioinformatics pipelines. This role provides the opportunity to work on cross-functional teams to solve challenging problems and help advance the next generation of biotherapeutics at Bristol Myers Squibb.

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.

Qualifications

Required:

• 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.

Preferred:

• 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.

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

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 https://careers.bms.com/life-at-bms/.

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

• 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.
• All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients' lives through science™ “, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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