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Biostatistician

Smartrecruiters
smartrecruiters
1-3 years
Not Disclosed
Burlington, United States
10 Feb. 18, 2026
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Biostatistician

Company: EVERSANA
Location: Burlington / Remote (Canada)
Job Type: Full-Time
Department: Researchers & Analysts
Job Family: Research
Experience Required: 1–3 years
Work Mode: Remote Eligible

Job Overview
We are seeking a highly skilled Biostatistician to support advanced research and statistical analysis initiatives in clinical and real-world healthcare data. The role involves conducting meta-analysis, network meta-analysis, indirect treatment comparisons, health economic modeling, and trial simulations to generate evidence-based insights for healthcare and life sciences decision-making.

The ideal candidate will demonstrate strong statistical expertise, analytical thinking, and programming capabilities to support research studies, develop statistical models, and communicate findings to stakeholders. This role offers opportunities to collaborate with cross-functional teams, mentor junior staff, and contribute to innovative healthcare solutions.

Key Responsibilities

  • Execute statistical components of research projects independently to meet client and organizational expectations.

  • Develop statistical analysis plans and perform complex data analysis.

  • Conduct meta-analysis, network meta-analysis, indirect treatment comparisons, and exploratory data analysis.

  • Support health economic modeling, trial simulation, and real-world evidence studies.

  • Analyze patient-level data from clinical trials and observational datasets.

  • Develop reports and present statistical findings to stakeholders and project teams.

  • Interpret and communicate research outcomes in both technical and non-technical formats.

  • Perform quality control checks and ensure data integrity and methodological accuracy.

  • Lead or contribute to the development and modification of statistical analysis code.

  • Develop, maintain, or extend R packages and R Shiny applications for standardized statistical workflows.

  • Use version control tools such as Git and collaborative platforms for code management.

  • Mentor junior statisticians and support professional development initiatives.

  • Participate in client and internal meetings to discuss methodologies and results.

  • Ensure compliance with research standards, regulatory guidelines, and project timelines.

Educational Qualifications

  • PhD or MSc in Biostatistics, Statistics, Epidemiology, Health Economics, or a related field.

Experience Requirements

  • 1–3 years of relevant experience in health research, health technology assessment, market access, or related domains.

  • Equivalent academic research experience or dissertation work may be considered.

Required Skills and Competencies

  • Strong foundation in statistical concepts, modeling techniques, and quantitative research methodologies.

  • Expertise in regression modeling, survival analysis, longitudinal data analysis, propensity score analysis, and predictive modeling.

  • Experience with meta-analysis and indirect treatment comparisons.

  • Proficiency in statistical programming tools such as R, SAS, STATA, WinBUGS, or OpenBUGS.

  • Experience analyzing clinical trial data and real-world evidence datasets.

  • Strong analytical, problem-solving, and critical thinking skills.

  • Ability to manage complex coding structures and ensure consistency across projects.

  • Proficiency in Microsoft Office tools including Word, Excel, and PowerPoint.

  • Strong written and verbal communication skills with the ability to explain complex concepts clearly.

  • Ability to work independently and collaboratively in a fast-paced environment.

  • Experience mentoring or training junior team members.

Preferred Qualifications

  • Experience in health technology appraisal, outcomes research, or clinical data analysis.

  • Knowledge of hierarchical analysis methods and advanced statistical modeling techniques.

  • Familiarity with JavaScript, VBA, or related programming tools.

  • Experience with research and reference management software.

Work Environment and Expectations

  • Standard work schedule: Monday to Friday, 37.5 hours per week.

  • Occasional travel may be required for meetings or stakeholder engagement.

  • Additional hours may be required to meet project deadlines.

  • Office-based or remote work environment with extended periods of computer-based work.

Why Join the Organization
This opportunity offers a collaborative and inclusive work environment focused on advancing healthcare outcomes through innovative research and data-driven insights. The organization values diversity, professional growth, and continuous learning while delivering impactful solutions for the global life sciences industry.

Compensation

  • Competitive compensation package.

  • Expected base salary range: CAD 84,000 (applicable to Canada-based roles), based on experience, skills, and location.