Sr Data Analyst / Lead Statistician
Andover MA - Onsite 
8 Month Contract 
Pay: 60-67/hr
 
Must Have Qualifications: 

• Master’s degree (Ph.D. preferred) in Statistics, Biostatistics, Applied Mathematics, or a related quantitative discipline.
• Master’s degree with 5+ years of applied experience, or Ph.D. with 2+ years of applied experience as a clinical statistician in an academic or industry setting.
• Proven experience leading statistical activities and influencing teams within a matrixed environment.
• Demonstrated expertise in study design, advanced modeling techniques, and statistical programming (SAS and R).
• Strong understanding of regulatory and clinical research standards (e.g., FDA, ISO 14155).
• Excellent communication skills, with the ability to clearly explain statistical reasoning to non-statistical audiences.
• Demonstrated ability to mentor, inspire, and elevate technical capabilities of peers and junior staff.
• Experience with simulation, causal inference, and clinical registry data analysis preferred.

Description: 

We are seeking a driven and innovative Lead Statistician to serve as the technical lead for statistical strategy and delivery within our Orthopedic Reconstruction & Robotics portfolio. Reporting to the Head of Global Data Analytics, this role directly supports high-impact and complex studies while providing program-level and technical leadership across all statistical activities in the business unit.
 

The Lead Statistician will oversee study design, analysis, interpretation, and ensure quality, consistency, and scientific rigor across the portfolio. This individual will mentor and guide statisticians within the Orthopedic Reconstruction & Robotics statistics pod, providing technical review, resource coordination, and delivery oversight in a matrixed team environment.
 

As the statistical authority and thought partner for the business unit, the successful candidate will champion innovative methodologies and ensure alignment with global clinical and regulatory standards. The ideal candidate is a lifelong learner with a strong theoretical foundation in mathematics, clinical biostatistics, and study design methodology, and a true passion for innovation.
 

• Serve as the technical lead and statistical authority for the Orthopedic Reconstruction & Robotics portfolio, providing strategic input across all stages of clinical evidence generation.
• Champion innovative statistical methodologies and study designs to ensure consistency, quality, and scientific rigor across programs.
• Partner with cross-functional leadership to align statistical approaches with regulatory expectations, scientific best practices, and business priorities.
• Mentor, coach, and conduct technical reviews for statisticians within the Orthopedic Reconstruction & Robotics statistics pod, fostering professional growth and excellence in execution.

• Provide expert statistical guidance in the design of clinical studies and registries, including sample size estimation, randomization strategies, adaptive and hybrid designs, and simulation-based planning.
• Collaborate with Clinical Operations, Data Management, Medical Affairs, and Clinical Strategy teams to define study types, endpoints, estimands, and analysis frameworks that are robust, transparent, and submission-ready when applicable.

• Oversee the planning and execution of complex statistical analyses using appropriate methodologies such as survival analysis, mixed-effects models, Bayesian frameworks, causal inference methods, and propensity score approaches.
• Ensure all statistical deliverables meet quality and reproducibility standards, performing or delegating technical review as required.
• Guide the effective use of SAS, R, and emerging analytical tools, promoting modernization and continuous improvement of analytical workflows.

• Provide technical oversight of data cleaning, derivation, and integration in collaboration with Data Management, Programming, and Data Science teams.
• Establish and enforce quality control and validation standards for statistical deliverables across the portfolio.

• Translate complex statistical findings into clear, actionable insights for clinical, regulatory, and executive stakeholders.
• Lead or contribute to statistical content for Clinical Study Reports (CSRs), regulatory submissions, publications, and cross-portfolio summaries.

• Maintain awareness of emerging statistical methodologies, regulatory guidance, and evolving data standards relevant to medical device research.
• Act as a catalyst for innovation by promoting modern statistical approaches, simulation, automation, and advanced analytics across the analysis lifecycle.
• Support the development and harmonization of statistical SOPs, best practices, and governance frameworks across Global Clinical and Medical Affairs.