Senior Biostatistician

How you will make an impact

• Develop high-quality educational slide decks for HCP-facing programs, internal trainings, symposia and speaker-led sessions.
• Transform rough content, scientific materials and field inputs into visually clear and professionally polished presentations.
• Ensure consistency in formatting, branding, structure and storytelling across all educational materials.
• Edit, refine and update existing slide libraries to maintain accuracy, alignment to product messaging and stylistic coherence.
• Conduct Google image searches to identify appropriate, rights-appropriate visuals for program materials.
• Perform literature and publication searches to support content accuracy, incorporate current clinical data, and ensure evidence-based messaging.
• Track, archive and properly cite all images, publications, and reference materials used in educational content.
• Ensure proper citation of scientific materials, figures and published data according to internal and regulatory standards.
• Prepare content for submission through legal, regulatory, and medical review processes in collaboration with cross-functional partners, utilizing the Vault PromoMats system.
• Maintain version control and documentation for all content updates.
• Partner with field teams, marketing, scientific communications, internal professional Education teams, and program owners to gather content inputs and translate them into polished deliverables.
• Support speaker-led programs by preparing presentation materials, aligning formatting across faculty decks and ensuring scientific accuracy.
• Assist in preparing collateral such as program agendas, social posts, email campaigns, training visuals, event-specific content pieces and re-cap materials.
• Contribute to metrics reporting by creating clear, well-designed visuals and summaries when needed.
• Help ensure all content assets are uploaded, organized and tagged appropriately in internal systems and SharePoint locations.
• Subject Matter Expert for areas of responsibility in both product/program expertise and procedural knowledge.
• Engage KOLs to develop strategically aligned messages on EW programs.
• Create and manage all product and/or program related training documents and educational tools from program planning to execution.
• Develop tactics (e.g., virtual symposiums, digital app) for local/region size and scope that support the strategy and access new training methodologies as incorporated into product launches as appropriate.
• Develop the strategy for the effective launch, management and execution of existing programs, related trainings and projects intended to maximize product/procedural outcomes.
• Manage relationships with multiple vendors.
• Measure effectiveness of educational tools, resources and programs through post-meeting survey instruments, PSR, clinical field feedback and KOL review and develop plan to address concerns.
• Drive process improvement for operational efficiency. Measure effectiveness of training efforts.

What you will need (Required)

• Master's Degree or equivalent in Statistics, Biostatistics or related field. 2 years of previous analytical experience in clinical trials.
• Ph.D. or equivalent in Statistics, Biostatistics or related field with internship, senior projects, or thesis in Statistics, Biostatistics or related field.

What else we look for (Preferred)

• Master's Degree or Ph.D. in Epidemiology, Data Science, Health Economics or related quantitative field.
• Proficiency in SAS and/or R, including data management, statistical programming, and production of high-quality analytic outputs
• Strong foundation in applied statistics and observational research methods with the ability to select, implement, and explain appropriate analytic methods
• Ability to communicate findings clearly and collaborate effectively in a cross-functional environment
• Experience designing and analyzing real-world evidence studies using healthcare claims, electronic health records, registries, administrative data, or linked clinical and real-world data
• Knowledge of observational research methods, including confounding control, causal inference, missing-data methods, and sensitivity analyses
• Experience with longitudinal analysis, generalized linear models, GEE, mixed models, survival and competing-risk methods, propensity score methods, and sample size or power calculations
• Experience working with large, complex datasets and creating reproducible, well-documented analytic workflows
• Familiarity with health economic analyses, predictive modeling, machine learning, or simulation methods
• Experience with SQL, Python, version control, Tableau, Power BI, or related analytic and visualization tools
• Experience contributing to peer-reviewed publications, conference abstracts, posters, or presentations
• Strong written, verbal, and visual communication skills, with excellent organization, attention to detail, and the ability to manage multiple priorities