Biostatistician I CDNM

Mass General BrighamSomerville, MA
Hybrid

About The Position

The Channing Division of Network Medicine represents a diverse and highly collaborative research community that is focused on deciphering the etiology of complex diseases. The lab benefits from active collaborations with computational, biostatistical, and networking experts. We also work with state-of-the-art laboratories for the generation of ‘omics’ data and have established bioinformatic pipelines for cleaning and preparing data for analysis. The Statistician will be contributing to the statistical analysis and scientific write up of projects within RECOVER Systems Biology and other epidemiological studies led by Dr. Lasky-Su, which will have a wealth of multi-omic data that cover lifestyle, behavior, dietary and environmental risk factors. These outstanding resources offer the potential for a high-quality candidate to address scientific questions of interest and to develop their research career in a vibrant environment. We are seeking highly motivated and analytically-capable applicants who have a strong interest in progressing the field through impactful science.

Requirements

  • Master's Degree in Biostatistics or Master's Degree in a Related Field of Study.
  • 1-2 years of experience as a biostatistician or data analyst (preferred).
  • High degree of computer literacy.
  • Sound analytical and organizational skills.
  • Excellent oral and written communication skills.
  • Ability to logically and effectively structure tasks and set priorities.
  • Ability to identify problems and troubleshoot solutions.
  • Demonstrated ability to analyze data statistically and to logically present it.

Responsibilities

  • Contributing to the statistical analysis and scientific write up of projects within RECOVER Systems Biology and other epidemiological studies led by Dr. Lasky-Su.
  • Analyzing multi-omic data that cover lifestyle, behavior, dietary and environmental risk factors.
  • Addressing scientific questions of interest and developing research career in a vibrant environment.

Benefits

  • Comprehensive benefits
  • Career advancement opportunities
  • Differentials, premiums and bonuses as applicable
  • Recognition programs
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