Biostatistician II

3 days ago

🇺🇸 United States – Remote

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧪 Clinical Research

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

Analytical Instruments • Laboratory Supply Chain Programs and eCommerce • Laboratory Equipment • Lab Services • Specialty Diagnostics

10,000+ employees

Founded 1956

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

Description

• The Biostatistician will work under the guidance of a Biostatistical Team Lead to implement statistical analysis plans (SAPs) involving complex longitudinal registry data available in several autoimmune disease areas. • 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 • Applies advanced statistical methods, which may include simulation models and other statistical programming as needed • 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 • Utilizes various database management systems as required

Requirements

• Master's degree in Biostatistics, Statistics, Bioinformatics, Mathematics or related field required • 3-5 years of applied statistical experience preferred • Preference is given to applications with >3 years of experience with complex longitudinal datasets and applied advanced statistical methods • Experience with data science techniques including machine learning and associated software is a plus • Extensive knowledge of at least one major statistical software package such as Stata, SAS or R is required, with preference given to those with R experience • Must be highly organized and detail-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