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20 Apr 2019

Full-Time Data Scientist @ celmatix

Celmatix – Posted by [email protected] Anywhere

Job Description

We seek a Data Scientist with deep expertise working with large datasets to join our growing scientific team. Reporting to the Data Science Lead, and working with a large, interdisciplinary team, you will leverage your experience and skills in data analytics to make a meaningful impact on women’s health.



  • Work with large scale structured and unstructured EMR/EHR and genetic data.
  • Develop standardized and automated processing pipelines to prepare data and generate content for analytic activities.
  • Perform statistical analyses and generate reports summarizing data structure, content and trends.
  • Design, develop, and maintain predictive models in production environments.
  • Plan and execute analytic solutions for scientific audits, reviews, and reports with minimal supervision.
  • Work cross-functionally with biologists, bioinformaticians, and engineers.


  • M.S. or PhD in Statistics.
  • 2+ years of relevant professional experience.
  • An understanding of Bayesian modeling; ML techniques such as random forests, neural networks, and NLP; survival analysis, ANOVA and other standard analytical methods used for regression and classification problems.
  • Proficiency in programming with R and Python.
  • A proven publication record, along with strong organizational, writing, and communication skills.

About Celmatix

Named one of Fast Company’s “50 Most Innovative Companies in 2017,” Celmatix is changing the face of women’s health through the development of digital tools and genetic insights focused on fertility potential. Our unique approach combines data science and genomics to bring personalized medicine to fertility. We offer a full range of benefits including excellent medical insurance, pre-tax FSA and transit benefits, parental leave, and a 401k retirement plan.

How to Apply

Find out more about Celmatix and the job at  

Job Categories: Data Scientist / Statistician. Job Types: Full-Time.

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