Senior Biostatistician

About the role

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life – enabling our customers to make the world healthier, cleaner and safer. As part of our clinical research portfolio, our prospective real-world studies evidence-based solutions specialize in generating data intelligence and clinical insights needed to bring safe and effective treatments to market.

The Biostatistics team for the Real-World Science department uses specialized statistical expertise to perform analyses such as assessing prescribing patterns, comparing effectiveness between treatments, and investigating differences in safety outcomes using complex longitudinal prospective and registry data.

A Day In The Life

• Serve as the data/programming lead for complex studies and will be a client-facing contributor.
• Lead all data/programming aspects for complex studies from end-to-end.
• Independently present results and handle client questions related to data and output.
• Act as a technical lead and a study-level owner.
• Independently oversee analyses and provide strategic programmatic leadership to ensure high-quality and scientifically rigorous real-world evidence generation.

Requirements

• Master’s degree and/or Doctorate degree in Biostatistics, Statistics, Bioinformatics, Mathematics or a related quantitative field required.
• 3-5 years of applied statistical programming experience using SAS and R in research, pharmaceutical, biotechnology, CRO, or medical setting required.
• Demonstrated experience leading complex observational research studies (e.g. longitudinal, EMR, registry data) is required.
• Experience working with complex longitudinal registry or real-world data required.
• Demonstrated knowledge of retrospective and prospective observational study designs and related methodologies required.

Skills

• Experience mentoring or supervising junior biostatisticians preferred.
• Advanced proficiency in R required; experience with SAS required.
• Experience leading database design input, CRF structure, and data validation strategy.
• Strong understanding of statistical methodology for observational and longitudinal data analyses.
• Ability to independently lead projects, prioritize competing deliverables, and manage multiple timelines effectively.
• Strong scientific, analytical, problem-solving, leadership, and communication skills.
• Demonstrated ability to collaborate effectively across cross-functional teams and communicate complex statistical concepts to technical and non-technical audiences.
• Strong attention to detail and commitment to high-quality, reproducible analyses and documentation.
• Excellent written communication skills and adherence to best practices for statistical programming and code documentation.
• Ability to make independent judgments under limited supervision.
• Strong interpersonal skills and a collaborative team-oriented mindset.

Schedule

Standard (Mon-Fri)