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21 Jul 2015

Full-Time Statistician/Bioinformatician (@Colorado)

Boston Heart Diagnostics – Posted by mmehanBH Boulder, Colorado, United States

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

Please apply by sending an email to Mike Mehan via the apply form. We look forward to hearing from you.

Job Categories: Data Scientist / Statistician. Job Types: Full-Time. Job Tags: ANALYTICS, big data, programming, science, and Stats.

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