Cogitativo is a Spanish adjective that means ‘thoughtfully’, and this is how we approach our work. Our startup was born with the purpose of thinking deeply about the issues affecting our healthcare system. We are a different kind of Data Science company, singularly focused on improving our healthcare system for all stakeholders – especially patients.

Based in Berkeley, California, Cogitativo is a machine learning, data curation and technology company with a mission to help healthcare organizations extract value from public and proprietary data sources. Our proven machine learning platform helps our stakeholders reduce their levels of 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, and we’re building an ecosystem and corresponding pipelines of data that are replicable across industries.

Our Clinical Insights team supports the development and maintenance of high-performance machine learning models and drive the roadmap for multiple-petabyte-scale analytic discovery that will impact tens of millions of healthcare consumers within the United States. With access to more than 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 that our team provides enable our 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.

Your Responsibilities:

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

1. 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.
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3. Deploying advanced analytic techniques such as machine learning and predictive modeling to solve problems in healthcare. Operationalizing machine learning algorithms into production.
4. 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.
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6. 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.
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8. Formulating success metrics for optimizing healthcare resources and patient experience, creating visualization to monitor them.

Qualifications

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

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