Senior Data Scientist, EHR

Verily Life Sciences
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Job Description

Who We Are

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, Our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.

Description

We are looking for a hands-on EHR data scientist to help build differentiated tools to extract phenotypes and insights from large and distributed EHR data-sets. 

The ideal candidate will have strong domain knowledge and prior experience working with structured and unstructured EHR data, solid knowledge of statistical methods, programming proficiency and clinical concept extraction and NLP experience. You will ideally also have clinical trials, real world evidence and EHR industry exposure. You will work with a diverse cross functional team to build reusable and scalable analysis tools and to deliver products that unlock information from unstructured data in electronic health records (EHRs).

Responsibilities

  • Advanced degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience.
  • Demonstrated industry or academic experience applying NLP and related analysis methods to structured and unstructured EHR data. 
  • Strong proficiency in Python.
  • Advanced machine learning (supervised and unsupervised methods) and exploratory/statistical data analysis competency (such as linear models, multivariate analysis and predictive modeling). Experience extracting and cleaning data sets.

Qualifications

Minimum qualifications:

  • Advanced degree in a quantitative discipline (e.g., statistics, biomedical engineering, computer science, applied mathematics, or similar), or equivalent practical experience.
  • Demonstrated clinical trials domain experience with analysis methods for structured and unstructured EHR data, real-world evidence and NLP. 
  • Demonstrated experience with applying statistical modeling, machine learning and exploratory data analysis to very large datasets.
  • Demonstrated prior management experience and strong communication and collaboration skills.

Preferred qualifications:

  • Familiarity with medical terminologies and ontologies.
  • Familiarity with software engineering practices and experience developing production software.
  • Experience working closely with pharma partners and clinical subject matter experts.

Why Join Us

Build What’s Vital.

At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology—united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health. Fulfilling our precision health purpose starts with the health of our Veeps (what we call our employees), which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being. We believe diversity of thought drives innovation—we unite the brightest minds, and encourage all Veeps to bring their lived experience to work with them.

Company Info.

Verily Life Sciences

Verily Life Sciences, also known as Verily, is Alphabet Inc.'s research organization devoted to the study of life sciences. The organization was formerly a division of Google X, until August 10, 2015, when Sergey Brin announced that the organization would become an independent subsidiary of Alphabet Inc.

  • Industry
    Healthcare
  • No. of Employees
    900
  • Location
    269 E Grand Ave., South San Francisco, California 94080, USA
  • Website
  • Jobs Posted

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