Manager, Biostatistics
BioSpace · United States
- Hybrid
- Contract
- $120,000 / year
- United States
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Job highlights
- Manage biostatistics for clinical development.
- Analyze clinical trial data for decision-making.
- Develop advanced data visualizations.
- Communicate statistical findings to stakeholders.
- Utilize R/Python and AI tools for efficiency.
About the role
Manager, Biostatistics (Contract)
We are seeking a Manager, Biostatistics (Contract) to support clinical development and medical affairs. This is an early-career role designed for candidates with a strong statistical foundation and initial industry experience who are looking to deepen their exposure to the pharmaceutical industry. You will work closely with cross-functional teams, including clinical, medical, HEOR, market access, data management, and statistical programming, to contribute to statistical analyses that inform decision-making across the clinical pipeline. The ideal candidate will have strong expertise in statistical methodology, clinical trial protocol/SAP development, exploratory data analysis, R/Python programming, and data visualization, with working knowledge of AI tools considered a plus.
Position Responsibilities
- Support statistical activities for clinical trials.
- Conduct secondary research activities, including post hoc analysis of clinical trial data, systematic reviews and meta-analyses, to explore/synthesize existing data and inform decision-making.
- Develop and maintain advanced data visualizations using industry-leading tools such as R Shiny, Python, and other relevant platforms.
- Assist in the interpretation of statistical results and communicate findings clearly to cross-functional stakeholders.
- Collaborate with clinical, medical, data management, and programming teams to ensure all deliverables are accurate, consistent, and aligned with clinical and regulatory standards, enhancing accessibility and clarity of clinical trial data.
- Utilize R/Python and AI agent tools where appropriate to improve efficiency and automation.
Candidate Requirements
- PhD / DrPH in statistics/biostatistics or related disciplines with >2 years’ experience in the pharmaceutical/biotech industry or MS degree in statistics/biostatistics with >5 years’ experience in the pharmaceutical industry as a statistician.
- Hands-on experience supporting clinical trials (any phase).
- Strong understanding of clinical trial data structures (e.g., SDTM, ADaM) and clinical trial design.
- Expert in data visualization tools such as R/R Shiny, Python, or similar software. Experience with AI tool is a plus.
- Understanding of clinical trial design, endpoints, and regulatory expectations.
- Excellent communication skills with the ability to translate complex statistical concepts for non-technical stakeholders.
- Proven ability to lead projects independently.
- Strong problem-solving skills, attention to detail, and ability to manage multiple projects simultaneously.
Key skills/competency
- Biostatistics
- Clinical Trials
- Statistical Analysis
- Data Visualization
- R Programming
- Python Programming
- Pharmaceutical Industry
- Regulatory Standards
- Project Leadership
- AI Tools
Skills & topics
- Biostatistics Manager
- Biostatistics
- Statistics
- Clinical Trials
- Data Analysis
- R Programming
- Python Programming
- Data Visualization
- Pharmaceutical
- Biotech
- Contract Role
- R Shiny
- ADaM
- SDTM
- HEOR
- Medical Affairs
How to get hired
- Tailor your resume: Highlight your biostatistics, clinical trial, and data visualization experience.
- Showcase technical skills: Emphasize proficiency in R, Python, and AI tools.
- Demonstrate leadership: Provide examples of independent project management.
- Quantify achievements: Use data to show your impact on clinical decisions.
- Prepare for interviews: Be ready to discuss statistical methodologies and communication skills.
Technical preparation
Master R/Python for statistical analysis.,Practice clinical trial data visualization.,Familiarize with SDTM/ADaM data structures.,Explore AI tools for efficiency.
Behavioral questions
Describe leading a complex statistical project.,How do you explain statistics to non-experts?,Share an example of problem-solving in trials.,How do you manage multiple project deadlines?
Frequently asked questions
- What is the primary focus of the Biostatistics Manager role at BioSpace?
- The Biostatistics Manager role at BioSpace is focused on supporting clinical development and medical affairs by providing statistical expertise for clinical trials and data analysis.
- What are the educational and experience requirements for the Biostatistics Manager position?
- Candidates need a PhD/DrPH in statistics/biostatistics with over 2 years of industry experience, or an MS degree with over 5 years of experience as a statistician in the pharmaceutical industry.
- What programming languages and tools are essential for this Biostatistics Manager role?
- Proficiency in R/R Shiny and Python is essential, with experience in AI tools being a plus. Expertise in data visualization tools is also required.
- How important is experience with clinical trial data structures for this role?
- A strong understanding of clinical trial data structures like SDTM and ADaM, as well as clinical trial design, is crucial for this position.
- What communication skills are expected from a Biostatistics Manager candidate at BioSpace?
- Excellent communication skills are expected, with the ability to translate complex statistical concepts clearly to non-technical stakeholders.
- Does the Biostatistics Manager role require experience in leading projects?
- Yes, proven ability to lead projects independently is a requirement for this Biostatistics Manager role.
- What kind of statistical analysis is expected in this role?
- The role involves supporting statistical activities for clinical trials, including post hoc analyses, systematic reviews, and meta-analyses.
- Is there an opportunity to work with AI tools in this Biostatistics Manager position?
- Yes, working knowledge of AI tools is considered a plus, and the role involves utilizing R/Python and AI agent tools where appropriate.