Biostatistician II

Thermo Fisher Scientific

Biostatistician II role at Thermo Fisher Scientific focusing on clinical research analytics. Engaging in data analysis, coding, and collaboration with cross-functional teams for improved health outcomes.

Posted 5/11/2026full-timeRemote • North Carolina • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Writes, reviews, tests, and maintains code to support analytic dataset development and statistical analyses, ensuring accuracy, efficiency, and reproducibility.
Implements data quality initiatives under the guidance of the Registry Lead to ensure accuracy, completeness, and reliability of datasets.
Works closely with the Registry Lead to ensure timely completion of deliverables and adherence to project deadlines.
Assists the Registry Lead in maintaining existing reports and developing new reports as needed.
Produces monthly analytic data cuts, monthly reports, and quarterly reports, ensuring accuracy, consistency, and alignment with reporting requirements.
Serves as an additional point of contact for assigned registries, proactively supporting colleagues by addressing registry-related questions on data structures, outputs, etc.
Provides support on ad hoc projects and analyses as needed.
Creates data pipelines for ingestion of external data sources and integration with clinical registry data to create combined datasets.
Compiles, analyzes and reports statistical data for various projects.
Carries out complex statistical analyses with supervision according to a statistical analysis plan.
Assists Biostatistical Team Lead in the development of new statistical methodology for measurement and analysis of data.
Assesses relevant literature as well as existing data, evaluates the quality of data used in reports and assists with preparation and distribution of periodic reports.
Prepares written reports and summarizes data for investigators with minimal supervision.
Makes original contributions to research projects, takes initiative in professional activities and beginning to be more independent in their statistical decision making.
Closely collaborates and participates in knowledge sharing with other statistical analysts.

Requirements

What you’ll need

Master's degree in Biostatistics, Statistics, Bioinformatics, Mathematics or related field is required.
Experience equivalent to 3 years of applied statistical knowledge is required.
Experience with data manipulation and transformation of large complex longitudinal datasets to support statistical analyses is required.
Extensive knowledge of programming using R is required.
Experience with GitHub for reproducibility, version control and collaboration is preferred.
Must be highly organized and detailed-oriented with excellent time management skills and ability to prioritize tasks.
Must possess strong communication skills and be able to work independently and as part of a team.
Requires clear writing skills and must follow best practices for commenting of programming code.

Benefits

Comp & perks

Must be legally authorized to work in the United States without sponsorship.
Must be able to pass a comprehensive background check, which includes a drug screening.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysisdata manipulationdata transformationprogramming in Rdata quality initiativesstatistical methodology developmentdata pipeline creationstatistical reportinganalytical dataset developmentcomplex statistical analyses

Soft Skills

organizational skillsdetail-orientedtime managementprioritizationcommunication skillsindependenceteam collaborationinitiativeknowledge sharingclear writing