Statistical Data Analyst

2 weeks ago

Boston, Massachusetts, United States Massachusetts General Hospital(MGH) Full time
Job Summary

We are seeking a highly motivated Statistical Data Analyst to join our team at the Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center. The successful candidate will work on multiple clinical and translational research projects focused on cardiovascular disease, collaborating with Principal Investigators (PIs) who are faculty members at Harvard Medical School and in the Divisions of Cardiology and Cardiac Surgery at MGH.

Key Responsibilities
  • Lead the efficient synthesis and analysis of clinical data for all assigned projects related to cardiovascular disease.
  • Participate in study design meetings with internal and external investigators, providing guidance on sample size requirements, approaches to measurement, and clinical endpoints.
  • Assist with preparation of IRB submissions and renewals.
  • Assist investigators in the development and implementation of statistical analysis plans, ensuring analytical activities are within scope, timeline, and reach the overall aims of each project.
  • Participate in the preparation and presentation of study results in manuscripts, conference abstracts, or other publication mediums.
  • Coordinate and participate in collaborations with investigators within other Harvard departments and at other institutions across the U.S.
  • Participate in and report on assigned project status at bi-weekly team meetings.
  • Actively participate in continuing education and mentorship of other research team members.
  • Proactively conduct quality control/quality assurance of programming and statistical models, automating processes whenever possible.
Requirements
  • A Masters degree in statistics, biostatistics, mathematics, or a related field is required.
  • Proficiency in biostatistical methods such as quasi-experimental methods appropriate for analysis of complex, observational datasets (claims data, observational cohorts, and clinical trial data); survival analysis; regression; dimension reduction and methods appropriate for clustering and panel data; and machine learning is required.
  • Experience in econometric statistical techniques including instrumental variables methods and regression discontinuity is required.
  • Proficiency in oral and written English communication is required.
  • Experience and proficiency in one or more of the following statistical programming languages is required: Python, R, SAS, NCSS, MPlus, SPSS, and Stata.
Preferred Qualifications
  • Experience and proficiency in prioritizing tasks and requesting support (when needed) while adhering to project deadlines is highly desired.
  • An ability to convey complex statistical concepts to a diverse team of clinical professionals with a varying levels of expertise in statistics is highly desired.
  • Experience in new machine learning platforms such as Tensorflow, Keras, Pytorch is highly desired.
  • Experience in implementing Bayesian analysis is highly desired.

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