Senior Biostatistician
At Thermo Fisher Scientific, you'll discover meaningful work that makes a positive impact on a global scale. 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.
What will you do in this role?
The Senior Biostatistician will serve as the statistical lead on high-profile client-facing projects and will work collaboratively with cross-functional teams. This individual will design studies, develop statistical analysis plans, oversee analyses, and provide strategic statistical leadership to ensure high-quality and scientifically rigorous real-world evidence generation.
The Biostatistics team for the Real-World Science department at Thermo Fisher Scientific is comprised of key focus areas: consulting work, pharmacovigilance, and registry coordination.
Hiring requirements
Education requirements
•Master's degree and/or Doctorate degree in Biostatistics, Statistics, Bioinformatics, Mathematics or a related quantitative field required
•In some cases, an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role
Experience requirements
•Minimum 5–8 years post Master's or 3-5 years post-doctorate experience of applied statistical programming experience in a research, pharmaceutical, biotechnology, CRO, or medical setting required
•Demonstrated experience leading complex observational research studies (e.g. longitudinal, EMR, registry data) 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
•Experience mentoring or supervising junior biostatisticians preferred
Knowledge, Skills and Abilities
•Advanced proficiency in R required; experience with SAS preferred
•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
•Requires 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
Location
Remote in the United States. Relocation assistance is NOT provided.
*Must be legally authorized to work in the US without sponsorship.
*Must be able to pass a comprehensive background check, which includes a drug screening.
