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Manager Biostatistician Jobs (NOW HIRING)

Legend Biotech USA, Inc.

Role OverviewThe Sr. Manager, Biostatistician/Programmer plays a critical hands-on role in supporting Legend Biotech's clinical development programs by transforming clinical trial data into high ...

Geisinger Health

Biostatistician

Danville, PA · On-site

Writing biostatistical analysis plans for research proposals and grants ... Calculating sample size and power, managing, analyzing, and interpreting study data and results ...

Crowdstaffing

Biostatistician

Emeryville, CA · On-site

Minimum 2 years experience managing people in a Biostats or clinical capacity. * Demonstrated sound ... Represent Biostatistics on company-wide project teams. Serve as primary liaison between ...

Geisinger

Biostatistician

Danville, PA · On-site +1

Writing biostatistical analysis plans for research proposals and grants ... Calculating sample size and power, managing, analyzing, and interpreting study data and results ...

COPD Foundation

$80K/yr

Manage data wrangling, analytic dataset creation, statistical programming, data visualization, and preparation of abstracts, manuscripts, and presentations.Oversee the Assistant Biostatistician and ...

University of Alabama at Birmingham

$73K - $120K/yr

- BIOSTATISTICIAN LEAD (T233211) University of Alabama at Birmingham We are seeking a highly ... Plays a key role in strategic planning, project management, and the integration of statistical ...

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How much do manager biostatistician jobs pay per year?

As of Sep 12, 2026, the average yearly pay for manager biostatistician in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a manager biostatistician?

Manager Biostatisticians are professionals who lead teams of biostatisticians in designing, analyzing, and interpreting data from clinical trials or research studies, primarily in healthcare and pharmaceutical settings. They oversee statistical planning, ensure regulatory compliance, and collaborate with other departments such as clinical operations and data management. Their role also includes mentoring junior staff, managing project timelines, and ensuring the accuracy and integrity of statistical analyses. Manager Biostatisticians play a key role in translating complex statistical findings into actionable insights for decision-making.

How does a manager biostatistician typically collaborate with clinical research teams throughout a project?

A Manager Biostatistician plays a pivotal role in cross-functional collaboration, working closely with clinical researchers, data managers, and medical writers from study design through to data analysis and reporting. They provide statistical input during protocol development, ensure that data collection aligns with analytical goals, and oversee the statistical analysis plan. Regular meetings and clear communication are crucial, as the Manager Biostatistician guides the team on statistical best practices and helps interpret results for regulatory submissions. This collaborative approach ensures the scientific integrity of the research and supports successful project outcomes.

What are the key skills and qualifications needed to thrive as a manager biostatistician, and why are they important?

To thrive as a Manager Biostatistician, you need advanced statistical analysis skills, experience in clinical research, and a graduate degree in statistics, biostatistics, or a related field. Expertise with statistical software such as SAS, R, and experience with data management systems and regulatory guidelines (e.g., FDA, EMA) are typically required. Strong leadership, project management, and communication skills help in guiding teams and translating complex data into actionable insights. These skills are crucial for ensuring rigorous study design, accurate data interpretation, and effective collaboration across multidisciplinary teams in the life sciences.

Are biostatisticians in high demand?

Biostatisticians are in high demand due to the growth of clinical research, pharmaceuticals, and healthcare data analysis. They often require strong statistical skills and knowledge of tools like SAS or R, and employment opportunities are expected to increase as data-driven decision making becomes more prevalent in the industry.
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Manager Biostatistician jobs near you
Infographic showing various Manager Biostatistician job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Sr. Manager, Biostatistician / Programmer

Somerset, NJ • Hybrid

Legend Biotech US
See more jobs at Legend Biotech USexternal

Full-time

Re-posted 28 days ago

Key responsibilities

  • Develop, validate, and maintain high-quality Tables, Figures, and Listings (TFLs) to support clinical trials and analyses.

  • Perform hands-on statistical programming and data manipulation to support planned and ad hoc analyses.

  • Explore and interrogate clinical trial data to identify trends, anomalies, and insights for clinical decision-making.

Job description

Legend Biotech is seeking a Sr. Manager, Biostatistician/Programmer as part of the Clinical team based in Somerset, NJ.

Role Overview

The Sr. Manager, Biostatistician/Programmer plays a critical hands-on role in supporting Legend Biotech's clinical development programs by transforming clinical trial data into high-quality analyses, tables, figures, and listings that inform decision-making. This role partners closely with clinical, translational, research stakeholders to deliver timely insights, conduct exploratory and ad hoc analyses, and deeply understand the medical and scientific questions underlying the data. The position requires strong programming expertise, data agility, intellectual curiosity, and the ability to work independently in a fast-moving biotech environment.

Key Responsibilities

  • Develop, validate, and maintain high-quality Tables, Figures, and Listings (TFLs) to support ongoing clinical trials, interim analyses, and internal/external deliverables in compliance with study requirements and standards.
  • Perform hands-on statistical programming and data manipulation to support planned and ad hoc analyses, addressing evolving clinical and scientific questions.
  • Independently explore and interrogate clinical trial data to identify trends, anomalies, and insights that support clinical interpretation and decision-making.
  • Collaborate closely with Biostatistics, Clinical Development, Clinical Operations, Data Management,
  • Translational research and Medical teams to ensure alignment of analyses with protocol objectives and clinical intent.
  • Apply a strong understanding of therapeutic area, disease biology, and clinical endpoints to translate data into meaningful scientific insights.
  • Contribute to analysis datasets, program specifications, programming documentation, and quality control activities in accordance with internal standards and regulatory expectations.
  • Support process improvement initiatives, including enhancing programming efficiency, standardization, and  reproducibility across studies and programs.
  • This role operates with a high degree of autonomy in determining programming approaches, exploratory analyses, and data interrogation strategies to answer clinical questions. The Sr. Manager may independently make decisions related to analysis methods, programming solutions, prioritization of tasks, and investigative follow-up of data issues. Escalation and alignment are expected for changes impacting study-level strategy, major deliverables, timelines with external visibility, or regulatory-facing outputs.

Requirements

  • Master's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
  • Demonstrated hands-on experience developing TFLs and performing ad hoc and exploratory analyses for clinical trials.
  • Strong understanding of clinical trial design, clinical data structures, and the medical context behind analyses.
  • Proven ability to work independently, manage ambiguity, and drive self-directed discovery from data.
  • Experience supporting oncology and/or cell therapy programs is strongly preferred.
  • Advanced proficiency in SAS for clinical trial analysis and reporting.
  • Working knowledge of R for exploratory analyses and data visualization
  • Strong experience with clinical data standards (e.g., SDTM, ADaM)
  • Experience with or strong willingness to leverage AI-assisted programming tools to accelerate development, enhance code quality, and support efficient generation of Tables, Figures, and Listings (TFLs).

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