Biostatistics Lead — Clinical Trials & Study Design

CL c7eda2a6 a1ff 4b87 bb9e 3e6ec6ca3259

Brookline (MA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Frontier Science seeks a Biostatistician III to lead statistical tasks across a broad portfolio of collaborative research studies, including clinical trials from phase 1 to phase 3. The role demands leadership and initiative to design studies and interpret results.

You will prepare analysis plans, contribute to manuscripts, mentor junior staff, and represent statistics in cross-disciplinary teams, ensuring rigorous, reproducible analyses and high-quality deliverables.

Qualifications

  • Master's Degree in biostatistics, statistics, or closely related field
  • At least 20 years of experience as a Biostatistician or similar role with a proven track record
  • Experience with major statistical computing packages such as SAS and R
  • Excellent oral and written communication skills, including scientific writing
  • Experience working with clinical trials research

Responsibilities

  • Prepare statistical sections of proposals and contribute to study design
  • Prepare statistical analysis plans and data monitoring plans
  • Create programming specifications and mock Tables, Figures, and Listings
  • Produce interim and final statistical analysis reports
  • Participate in the authoring of manuscripts
  • Mentor junior staff and attend professional development activities
  • Lead statistical leadership within Frontier Science on projects

Skills

Leadership
Statistics
SAS
R
Communication

Education

Master's Degree in biostatistics, statistics, or closely related field

Tools

SAS
R

Job description

Frontier Science seeks a Biostatistician III to lead statistical tasks across a broad portfolio of collaborative research studies, including clinical trials from phase 1 to phase 3. The role demands leadership and initiative to design studies and interpret results.

You will prepare analysis plans, contribute to manuscripts, mentor junior staff, and represent statistics in cross-disciplinary teams, ensuring rigorous, reproducible analyses and high-quality deliverables.

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