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PhD in Bioinformatics, Computational Biology, Statistics, or a related field with 2+ years of industry experience in clinical diagnostics or a related domain. * Alternatively, a Master's degree in ...

Responsible for development of statistical models to interpret biological data. * 8) Work with other FPC staff, provide technical support for other FPC staff and regional staffs when requested, in ...

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$56K

How much do biological statistics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for biological statistics in the United States is $42,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $46,500.00 per year, depending on experience, location, and employer.

What is a biological statistician?

Biological statisticians are professionals who apply statistical methods to the analysis of data generated from biological, medical, and health-related research. They help design experiments, analyze biological data, and interpret the results to support scientific conclusions. Their work is essential in fields like genetics, epidemiology, public health, and clinical trials. Biological statisticians ensure that research findings are statistically valid and meaningful, often collaborating with scientists, researchers, and healthcare professionals.

How do biological statisticians typically collaborate with research scientists during a project?

Biological statisticians play a key role in interdisciplinary teams by working closely with research scientists to design experiments, determine appropriate statistical methods, and interpret data. They are often involved from the initial planning stages, helping to ensure that data collection protocols will yield valid and reliable results. Throughout the project, statisticians communicate findings clearly, translate complex statistical concepts, and provide guidance on data-driven decisions. Effective collaboration and communication with researchers are crucial for the success of scientific studies.

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

To thrive as a Biological Statistician, you need a strong background in statistics, mathematics, and biology, typically supported by a degree in biostatistics, statistics, or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience handling large biological datasets are essential. Strong analytical thinking, attention to detail, and effective communication skills help translate complex data into actionable insights for interdisciplinary teams. These skills are crucial for designing sound experiments, ensuring accuracy in data analysis, and supporting evidence-based decision-making in biological research.

What is the difference between Biological Statistics vs Biostatistics?

AspectBiological StatisticsBiostatistics
Required CredentialsDegree in statistics, mathematics, or biological sciencesDegree in statistics, biostatistics, or related health sciences
Work EnvironmentResearch labs, academia, biotech companiesHealthcare, public health, medical research
Industry UsageUsed across biological research and data analysisPrimarily in health and medical fields
Common Search IntentUnderstanding statistical methods in biologyApplying statistics to health and medicine

Biological Statistics and Biostatistics share overlapping skills and credentials, but Biological Statistics focuses more broadly on biological data analysis across various biological sciences, while Biostatistics specializes in health-related research and medical data. Both roles require strong statistical backgrounds, but their application areas differ, with Biological Statistics spanning multiple biological fields and Biostatistics centered on health and medicine.

Do biological statisticians make a lot of money?

Biological statisticians typically earn competitive salaries that vary based on experience, education, and location. According to industry data, median annual wages often range from $70,000 to over $100,000, with higher earnings possible for those with advanced skills in statistical software and bioinformatics. Job prospects are strong in research institutions, pharmaceutical companies, and healthcare organizations.

Is a biological statistician a good career?

A biological statistician is a valuable role that involves applying statistical methods to biological research, often requiring knowledge of programming languages like R or SAS. The field offers strong job prospects, competitive salaries, and opportunities in healthcare, pharmaceuticals, and research institutions. Success in this career typically depends on advanced education such as a master's or Ph.D. and strong analytical skills.
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Infographic showing various Biological Statistics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $42,105 per year, or $20.2 per hour.

Associate Director, Analytical Development & CMC Statistics

Princeton, NJ • On-site

Full-time

Posted 15 days ago


Job description

Overview of Role: 

The Associate Director of Analytical Development and CMC Statistics will provide technical and statistical leadership for analytical development, method validation, method transfer, comparability, stability, specifications, and lifecycle management activities supporting biologic drug substance and drug product programs. This role will sit within the CMC Analytical Sciences organization and will partner closely with Analytical, MSAT, Quality, Regulatory Affairs, Supply Chain, and external CDMOs/CROs to ensure that analytical strategies, statistical approaches, and data packages are scientifically robust, phase-appropriate, compliant, and suitable for global regulatory submissions and commercial readiness. 

The successful candidate will combine hands-on experience in biologics analytical development with strong statistical expertise, including method validation statistics, stability and shelf-life modeling, specification setting, comparability assessments, assay lifecycle monitoring, and statistical support for CMC investigations. This individual will be expected to translate complex analytical datasets into clear conclusions, support risk-based decision-making, and contribute directly to IND/IMPD, BLA/MAA, post-approval, and health authority response activities. 

Role and Responsibilities: 

  • Provide scientific and technical leadership for analytical method development, qualification, validation, transfer, troubleshooting, and lifecycle management for biologic drug substance and drug product programs. 
  • Support phase-appropriate analytical strategies for release, stability, characterization, comparability, potency, binding, impurity, and residual testing. 
  • Review and interpret analytical data from CDMOs, CROs, and partner laboratories to ensure methods are robust, fit for purpose, and aligned with regulatory expectations. 
  • Contribute to analytical control strategy development, including critical quality attribute assessment, method performance monitoring, and product quality trend evaluation. 
  • Lead statistical planning, analysis, and interpretation for analytical method validation, method transfer, comparability, stability, specification setting, assay qualification, and investigation support. 
  • Apply appropriate statistical tools to evaluate accuracy, precision, linearity, range, robustness, intermediate precision, equivalence, trending, outliers, assay variability, and method capability. 
  • Develop and justify statistically sound acceptance criteria, comparability criteria, stability models, DS and DP shelf-life determinations, stability trending approaches, and analytical control limits. 
  • Partner with CMC, Quality, Regulatory Affairs, and external partners to ensure statistical approaches are scientifically defensible and clearly documented in protocols, reports, and regulatory submissions. 
  • Support data visualization, multivariate analysis, and trend monitoring to enable early identification of analytical or manufacturing risks. 
  • Support inspection readiness, audit responses, regulatory commitments, and post-approval lifecycle management activities related to analytical methods, stability, specifications, and comparability. 
  • Provide statistical input into deviations, OOS/OOT investigations, CAPAs, change controls, and risk assessments. 
  • Provide analytical and statistical oversight for external CDMOs, CROs, and partner laboratories performing release, stability, characterization, method transfer, method validation, and comparability studies. 
  • Review external protocols, reports, data packages, deviations, and investigations to ensure technical quality, compliance, and alignment with program objectives. 
  • Communicate complex analytical and statistical findings clearly to technical and non-technical stakeholders, including senior leadership. 
  • Contribute to internal SOPs, templates, best practices, and governance processes for analytical development, CMC statistics, and outsourced analytical activities. 
  • All other duties as assigned. 

 
Experience, Education and Specialized Knowledge and Skills: 

  • Advanced degree(s) preferred in Statistics, Biostatistics, Analytical Chemistry, Biochemistry, Pharmaceutical Sciences, Chemical Engineering, or a related scientific discipline; Bachelor's or master's degree with substantial relevant experience will be considered. 
  • Minimum of 10+ years of relevant experience in the biopharmaceutical or pharmaceutical industry, including direct experience supporting CMC analytical development and/or process development and manufacturing activities. 
  • Strong knowledge and understanding of biologics analytical methods, including chromatographic, electrophoretic, immunoassay, potency, binding, impurity, and/or process residuals. 
  • Demonstrated experience with analytical method development, validation, method transfer, comparability, specification setting, stability analysis, and statistical analysis & interpretation of CMC datasets. 
  • Working knowledge of ICH, FDA and EMA guidance and GMP regulation, as well as data integrity expectations relevant to analytical development and lifecycle management. 
  • Experience reviewing or authoring protocols, reports, regulatory submission sections, health authority responses, deviations, OOS/OOT investigations, CAPAs, and change controls. 
  • Travel may be required periodically to support CDMO/CRO oversight, technical meetings, regulatory interactions, or cross-functional workshops.