Senior Manager, Biostatistics

Bristol-Myers Squibb Co

Princeton (NJ)

In loco

USD 164.000 - 199.000

Tempo pieno

5 giorni fa
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Vantaggi offerti da questo lavoro

Comprehensive benefits
Wellbeing support
Retirement plan
Medical insurance
Dental insurance
Vision insurance
Flexible time off
Paid holidays
Vacation days
Volunteer days

Descrizione del lavoro

Bristol Myers Squibb in Princeton, NJ seeks a Senior Manager, Biostatistics to lead statistical aspects of trial design, analysis planning and regulatory submissions within cross-functional teams. You will translate scientific questions into statistical plans, review SAPs, and ensure high-quality deliverables in line with regulatory expectations.

We value experience with clinical trials, proficiency in SAS/R/Python, and strong communication skills to present complex results to diverse audiences.

Competenze

  • Fresh PhD with 3+ years’ experience or MS with 5+ years’ experience in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience.
  • Proficiency in SAS, R or Python and implementation of advanced statistical analysis, data manipulation, graphing & simulation.
  • Good interpersonal, communication, writing and organizational skills.
  • Ability to learn regulatory requirements & clinical trial design, data analysis and interpretation, work successfully within cross‑functional teams, organize multiple work assignments and establish priorities.
  • Experience in standard and advanced statistical methods is preferred.
  • Good understanding of regulatory requirements & clinical trial design is preferred.

Mansioni

  • Collaborates in design of clinical study including methodology, data analysis & interpretation, and reporting of study results.
  • Authors and/or reviews protocol synopsis, protocol, statistical analysis plans, case‑report forms, clinical study reports, associated publications, and other study level specification documents with minimum supervision.
  • Performs and/or validates statistical analyses, advise ways to maximize clarity of data display.
  • Communicates results to cross‑functional teams, provides data interpretation in study documents such as clinical study reports, and publications.
  • Translates scientific questions into statistical terms and statistical concepts into layman terms.
  • Compliant with BMS processes and SOPs, adherence to global and project standards within an indication or therapeutic area and responsible for quality of deliverable.
  • Continually develops technical knowledge of statistical methodology and how it is appropriately applied in trial design and data analysis for clear, concise, high‑quality results.
  • Continually enhances knowledge of drug development process, regulatory and commercial requirement.
  • Develops & advises team members.
  • Effectively communicates the DQS Mission and Vision in a fashion that generates pride, excitement and commitment within DQS.

Conoscenze

Biostatistics
Clinical trials
SAS
R
Python
Cross-functional collaboration
Communication skills

Formazione

PhD in statistics/biostatistics
MS in statistics

Strumenti

SAS
R
Python

Descrizione del lavoro

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary

The Senior Manager of Biostatistics is a member of cross‑functional development teams and contributes to trial design, protocol development, analysis planning, interpretation of results, and preparation of regulatory submissions. These individuals develop collaborative relationships and work effectively with the Biostatistics Lead, and other cross functional team members.

Key Responsibilities:
  • Collaborates in design of clinical study including methodology, data analysis & interpretation, and reporting of study results.
  • Authors and/or reviews protocol synopsis, protocol, statistical analysis plans, case‑report forms, clinical study reports, associated publications, and other study level specification documents with minimum supervision.
  • Performs and/or validates statistical analyses, advise ways to maximize clarity of data display.
  • Communicates results to cross‑functional teams, provides data interpretation in study documents such as clinical study reports, and publications.
  • Translates scientific questions into statistical terms and statistical concepts into layman terms.
  • Compliant with BMS processes and SOPs, adherence to global and project standards within an indication or therapeutic area and responsible for quality of deliverable.
  • Continually develops technical knowledge of statistical methodology and how it is appropriately applied in trial design and data analysis for clear, concise, high‑quality results.
  • Continually enhances knowledge of drug development process, regulatory and commercial requirement.
  • Develops & advises team members.
  • Effectively communicates the DQS Mission and Vision in a fashion that generates pride, excitement and commitment within DQS.
Qualifications & Experience:
  • Fresh PhD with 3+ years’ experience or MS with 5+ years’ experience in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience.
  • Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation.
  • Good interpersonal, communication, writing and organizational skills.
  • Ability to: learn regulatory requirements & clinical trial design, data analysis and interpretation, work successfully within cross‑functional teams, organize multiple work assignments and establish priorities.
  • Experience in standard and advanced statistical methods is preferred.
  • Good understanding of regulatory requirements & clinical trial design is preferred.
Compensation Overview:
  • Brisbane - CA - US: $188,730 - $228,701
  • Cambridge Crossing: $188,730 - $228,701
  • Princeton - NJ - US: $164,110 - $198,862
  • Seattle - WA: $180,520 - $218,751
  • 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:
  • comprehensive benefit plans
  • wellbeing support
  • retirement and financial protection benefits
  • insurance offerings (medical, dental, vision, life and disability)
  • Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval
  • 11 paid company holidays each year
  • 160 hours of paid vacation annually for new hires (subject to manager approval)
  • 3 optional holidays
  • paid sick leave
  • up to two paid volunteer days per year
  • summer hours flexibility
  • leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs
  • 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. Learn more at https://careers.bms.com/ways‑of‑working.

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 adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: 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

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud‑protection. 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 TAEnablement@bms.comwith 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.

R1607530 : Senior Manager, Biostatistics Data Privacy Link

We're creating innovative medicines for patients fighting serious diseases. We're also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.

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