Biostatistician

Career Guide

A Biostatistician applies statistical methods to health and life science data to support research and decision-making. They help design studies, analyze results, and clearly communicate what the data does and does not show, often working with clinicians, researchers, and regulatory teams.

Key Responsibilities

Partner with researchers to define study goals and success metrics
Design experiments and clinical studies to reduce bias and improve reliability
Create analysis plans before data is reviewed
Analyze study data using appropriate statistical methods
Check data quality and resolve data issues with data management teams
Build clear tables, charts, and summaries for reports and publications
Explain results to non-technical partners and answer follow-up questions
Support regulatory submissions with defensible analysis and documentation
Review analysis done by other team members for accuracy and consistency
Maintain reusable code and analysis templates to improve efficiency

Top Skills for Success

Statistical Modeling

Study Design

Hypothesis Testing

Power Analysis

Data Cleaning

Programming in R

Programming in SAS

Data Visualization

Technical Writing

Stakeholder Communication

Clinical Trial Knowledge

Regulatory Documentation

Career Progression

Can Lead To

Senior Biostatistician

Lead Biostatistician

Biostatistics Manager

Principal Biostatistician

Transition Opportunities

Biostatistics Director

Clinical Data Science Lead

Epidemiologist

Health Outcomes Research Scientist

Statistical Programmer Lead

Quantitative Methods Consultant

Common Skill Gaps

Often Missing Skills

Clinical Trial DesignRegulatory WritingReproducible Research PracticesVersion ControlData Standards KnowledgePresentation Storytelling

Development SuggestionsBuild a portfolio with one clinical-style analysis report, a clean code repository, and a short slide deck that explains results in plain language. Seek projects that include study design decisions, not only analysis after data is collected.

Salary & Demand

Median Salary Range

Entry LevelUSD 75,000 to 100,000

Mid LevelUSD 100,000 to 140,000

Senior LevelUSD 140,000 to 190,000

Growth Trend

Strong and steady demand, driven by clinical research, real-world health data, and increased use of evidence in healthcare decisions.

Companies Hiring

Major Employers

PfizerRocheNovartisMerckJohnson and JohnsonAstraZenecaGSKSanofiIQVIALabcorp Drug DevelopmentParexelSyneos HealthMedpaceICONNational Institutes of HealthCenters for Disease Control and Prevention

Industry Sectors

PharmaceuticalsBiotechnologyContract Research OrganizationsMedical DevicesHospitals and Health SystemsGovernment Public HealthUniversities and Research InstitutesHealth InsuranceHealth Technology

Recommended Next Steps

Strengthen core tools by becoming job-ready in R or SAS with a documented project

Create a sample statistical analysis plan for a simple study scenario

Publish a small portfolio that includes a cleaned dataset, analysis code, and a clear results summary

Practice explaining statistical results to non-technical audiences in a short written brief

Network with clinical research teams to learn how studies are run end-to-end

Target roles in pharmaceuticals, contract research organizations, and public health based on your preferred pace and mission