Data Scientist

Boston Heart Diagnostics
Job Location
Framingham, MA
Job Description

The person in this role will carry out statistical analyses to produce publishable studies demonstrating clinical outcomes for testing.

  • Perform analysis of clinical studies and provide detailed statistical reports. Study designs include intervention, case/control, and longitudinal.
  • Patient Outcome Analysis – assist with study design, power calculations and outcomes analysis of Boston Heart patient population.
  • Analyze anonymized patient records and lab data to determine associations between biomarker measurements and patient outcomes using appropriate statistical methods
  • Assist lab operations with assay validation and QA support
  • Create data files for R&D department and provide detailed statistical analysis.
  • Create intuitive and compelling data visualizations for Health Care Practitioners.
  • Write papers for publication in peer-reviewed journals.
  • Masters degree and other advanced study in statistics, applied mathematics or bioinformatics
  • Strong advanced statistical skills, with emphasis on ANOVA and design of experiments
  • Experience with unsupervised analysis: clustering or principal components analysis
  • Fundamental understanding of statistical models: general linear models, mixed effects models, Cox proportional hazard models, and classification models (e.g. naive Bayes, random forest)
  • Experience in study design suitable for publication
  • Ability to analyze large data sets
  • Computational skills appropriate to the study designs anticipated
  • Ability to perform longitudinal analysis
  • High proficiency in at least one statistical analysis software environment such as SAS, SPSS, or R (preferred).
How to Apply

To apply: please follow the link below and click "Apply" right under the job title.

A research duo finds that science and technology graduate students who turn away from academic careers do so because of changes in their own interests.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.