Director, Statistical Genetics

Biopharma Careers; Virginia (MN); On-site; USD 240,000 - 291,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

Financial Well-being & 401(k)

Paid Time Off

Global health programs

Job summary

Bristol Myers Squibb seeks a Director of Statistical Genetics to lead the Target Sciences team and drive causal inference from human genetics using omics data. The role sits in IPS, collaborating across research, discovery and translational biology to advance precision medicine.

The position emphasizes leadership, strategic direction, and communication with stakeholders while coordinating with external collaborations and high‑impact publications.

Qualifications

• Bachelor’s Degree with 15+ years of academic/industry experience.
• Or Master’s Degree with 12+ years of academic/industry experience.
• Or PhD with 8+ years of academic/industry experience.
• 6+ years leadership experience.

Responsibilities

• Drive design and implementation of computational strategy to infer causal mechanisms driving disease using human genetics and other data types (e.g. Mendelian randomization with proteomics, TWAS, colocalization).
• Lead team to perform cross-biobank analyses focused on identifying mechanisms underlying human genetic risk factors (e.g. LD score regression, eQTL mapping, scRNAseq).
• Coordinate with stakeholders across research to nominate, evaluate, and advance novel drug targets.
• Communicate findings and recommend follow up actions in multiple settings (1:1, seminars, project meetings, publications).
• Oversee integration of multi-omics and genetic data to inform disease mechanisms and translational biology.
• Mentor junior scientists and foster cross-disciplinary collaborations.

Skills

Genetic statistics

GWAS

Mendelian randomization

Colocalization

Polygenic risk scores

Leadership

Education

PhD in statistical genetics

PhD or related field

Tools

R

Python

Job description

Director, Statistical Genetics

When you join BMS, you are joining a 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.

We seek a talented statistical genetics expert to lead the Target Sciences team by designing, implementing, and overseeing efforts to use innovative approaches to systematically define mechanisms driving disease risk due to genetics. This role will sit within Informatics & Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development within BMS research.

A key focus will be aligning with disease area strategy to impact drug discovery and translational efforts using insights from causal human biology. This will include leading “variant to gene to function” efforts by integrating ‘omics data (scRNAseq, spatial, proteomics) and other functional data with genetic data from large scale cohorts. It will also include synthesizing and communicating key findings at cross-functional meetings.

This position offers an exciting opportunity to impact human health through innovative human genomics research. It is also an opportunity to work closely with the broader scientific community through pre‑competitive collaborations (e.g. FinnGen, UK Biobank, UK Genes & Health, Alliance for Genomic Discovery), and to publish and present industry‑leading work in this area.

Location: Cambridge, MA

Responsibilities will include, but are not limited to, the following:

• Drive design and implementation of computational strategy to infer causal mechanisms driving disease using human genetics and other data types (e.g. Mendelian randomization with proteomics, TWAS, colocalization)
• Lead team to perform cross‑biobank analyses focused on identifying mechanisms underlying human genetic risk factors (e.g. LD score regression, eQTL mapping, scRNAseq)
• Lead team and coordinate with stakeholders across research to facilitate the use of germline genetics for discovery in neuro, immunology, and cardiovascular disease.
• Evaluate and prioritize multi‑modal, disease‑specific datasets that will enable deep understanding of causal human biology of priority disease areas
• Coordinate with stakeholders across research to nominate, evaluate, and advance novel drug targets
• Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, project meetings, and external publications)

Basic Qualifications:

• Bachelor’s Degree with 15+ years of academic / industry experience
• Or Master’s Degree with 12+ years of academic / industry experience
• Or PhD with 8+ years of academic / industry experience
• 6+ years leadership experience

Preferred Qualifications:

• PhD in statistical genetics or a related computational/quantitative discipline field with
• 8+ or more years of relevant postdoctoral research and/or industry experience preferred
• Experience in leading efforts to apply genetics to drug discovery
• Deep scientific expertise in application of statistical genetic methods (GWAS, exWAS, Mendelian Randomizaiton, colocalization, polygenic risk scores)
• Advanced hands‑on knowledge of at least one high‑level programming language such as R or Python
• Familiarity with functional genomics preferred
• Demonstrated ability to advance multi-disciplinary team projects required
• Managerial and mentorship experience in an industry setting required

Compensation Overview:

Cambridge Crossing: $239,890 - $290,687

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.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail] . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [e-mail] . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.