Senior Data Scientist

Cogitativo, Inc.•Berkeley, CA

6d•$160,000 - $200,000

About The Position

Cogitativo is a machine learning, data curation, and technology company based in Berkeley, California, with a mission to help healthcare organizations extract value from public and proprietary data sources. Our proven machine learning platform helps stakeholders reduce epistemic opacity while improving efficiency and lowering the cost of healthcare. Cogitativo's mission is to be the premier supplier of AI/ML solutions for the healthcare industry. Our Clinical Insights team supports the development and maintenance of high-performance machine learning models and drives the roadmap for multiple-petabyte-scale analytic discovery that will impact tens of millions of healthcare consumers within the United States. With access to over 55 million consumer healthcare datasets, our data scientists rely heavily on insights gained from data to guide feature development and performance metrics to detect optimization opportunities and improvements in healthcare delivery. The clarity and insights our team provides enable clients to quickly extract value from our collective efforts. Senior Clinical Data Scientists partner with in-house Medical Officers and a team of highly talented and diverse Machine Learning Engineers, Data Scientists, and Data Engineers specializing in applying deep learning and machine learning to extract insights from one of the richest data sets in the industry. We need your help to scale these computational models into real products or services that help to improve healthcare in the US and worldwide.

Requirements

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.
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.

Nice To Haves

Experience with genomic/genetic data and/or continuous monitoring devices is desired but not required.

Responsibilities

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.