Research Data Analyst

Mass General BrighamBoston, MA
$41,933 - $60,341Hybrid

About The Position

The Research Data Analyst will work under the direction of the Principal Investigator to assist graduate students, post-doctoral fellows, clinical fellows, and others with research projects that focus on analytical and computational needs. May perform bench research as needed. This position does not require patient care.

Requirements

  • Bachelor's Degree Computational Biology required or Bachelor's Degree Related Field of Study required
  • Experience as attained through education 0-1 year required
  • Understanding of human pathophysiology, hematologic function, pregnancy physiology and related fields of study.
  • Understanding of mathematical modeling, including dynamical systems, statistical analysis, and computational methods.
  • Ability to work collaboratively as part of a team and with supervision from team members.
  • Ability to work productively with scientists and clinicians at all levels.
  • Works in an organized manner with the ability to follow instructions, processes and timelines.
  • Can identify roadblocks occurring within areas of responsibility and refer them to the appropriate party(s) for assistance.
  • Strong computer skills, including accurate data entry.

Responsibilities

  • Provide direct assistance with experimental studies.
  • Performs basic computational modeling and statistical analysis; prepares drafts of work for review; applies feedback received to create final analyses and/or reports.
  • Meets with the PI and team to discuss work plans, activities, and results to support the applicability of efforts, learning opportunities, and professional development.
  • Reviews, collates, and prepares standard analyses of medical record data.
  • Perform administrative tasks, such as required for data collection; prepare documentation and record-keeping; update databases; run reports.
  • Conducts literature searches and submits appropriate articles to PI and team for consideration; identifies topics of interest for personal reading and may present at lab meetings.

Benefits

  • Comprehensive benefits
  • Career advancement opportunities
  • Differentials
  • Premiums
  • Bonuses
  • Recognition programs
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