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# Senior Data Scientist

- **Company:** Cogitativo, Inc.
- **Location:** Berkeley, CA, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Clinical Data Repository, Information Engineering, Data Mining, Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, Fast Healthcare Interoperability Resources, Electronic Medical Records, Information Technology
- **Published:** June 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=060e11f4fa96f154

## About the Role

Do you have experience in Python?, Do you have a Master's degree?, Minimum five years of relevant work experience for the Senior Clinical Data Scientist roles.

 * At least 4 years of experience working with healthcare systems data (EHR, claims, medications) and healthcare scenarios.
 * PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Data Mining.
 * Experience with genomic/genetic data and/or continuous monitoring devices is desired but not required.
 * Expert in analyzing large complex, multi-dimensional data sets with a variety of professional tools.
 * Strong experience in Python programming and building Machine Learning models.
 * Familiar with healthcare data ontologies such as FHIR, OMOP.
 * Ability to thrive and demonstrate constant applied learning in highly complex, interdisciplinary, and dynamic work environment.

## Description

Inform product strategy, influence the product roadmap, and guide product decisions by:

 * Accessing and analyzing rich clinical data to generate insights and make proactive recommendations, and collaborating with our infrastructure / data engineering teams on performance optimization requirements.

*
Deploying advanced analytic techniques such as machine learning and predictive modeling to solve problems in healthcare. Operationalizing machine learning algorithms into production.

 * Designing and analyzing experiments to test ideas for optimizing or improving the business outcomes of our various clients. Explaining research study design and advanced statistical modeling techniques to non-technical audiences.

*
Providing deep clinical subject-matter expertise to help the team understand healthcare delivery and supplement quantitative analysis while guiding the analysis plan and validating results.

*
Formulating success metrics for optimizing healthcare resources and patient experience, creating visualization to monitor them.


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