Biostatistician II: Lead Analytics for Clinical Trials

Statistics Interest Group

Springfield, Northern (MA, KY)

Hybrid

USD 98,000 - 133,000

Full time

5 days ago
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Benefits offered by this job

Excellent compensation
PTO up to 25 days
Continuing education support
Retirement plan with company match

Job summary

UMass Chan Medical School-Baystate & Baystate Health seeks a statistician to support high-impact research in the Quantitative Methods Core. You will consult on study design, perform complex analyses, and contribute to grants and publications.

Ideal candidates have a Master’s in biostatistics or related field, 3+ years of applied biostatistics experience, and strong SAS/R/STATA skills. Expect collaboration across clinical and health services research teams in a dynamic setting.

Qualifications

  • Master’s degree in Biostatistics, Statistics, Epidemiology, or a related quantitative field.
  • At least 3 years of experience in applied biostatistics in clinical, public health, or academic research.
  • Strong programming skills with SAS, R, or STATA and ability to manage multiple projects independently.

Responsibilities

  • Lead statistical analyses and consult with investigators on study design and interpretation.
  • Develop and maintain reproducible analysis programs and workflows.
  • Work with large real-world and administrative datasets (EHR, claims, registry).
  • Contribute to grant proposals, manuscripts, abstracts, and presentations.
  • Provide methodological guidance throughout the research lifecycle.

Skills

Biostatistics
Communication skills
Project management
SAS
R
STATA

Education

Master’s degree in Biostatistics/Statistics/Epidemiology

Tools

SAS
R
STATA

Job description

UMass Chan Medical School-Baystate & Baystate Health seeks a statistician to support high-impact research in the Quantitative Methods Core. You will consult on study design, perform complex analyses, and contribute to grants and publications.

Ideal candidates have a Master’s in biostatistics or related field, 3+ years of applied biostatistics experience, and strong SAS/R/STATA skills. Expect collaboration across clinical and health services research teams in a dynamic setting.

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