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Director of Data Science - Causal Inference

Company: Harnham
Location: New York
Posted on: January 16, 2022

Job Description:


THE COMPANYThis high-growth AI start-up is transforming health care by equipping physicians, employers, and health plans with advanced technology that drastically reduces the potential for clinical misdiagnoses. They are leveraging state-of-the-art data science techniques to help millions of patients and providers - with much more innovation to scope!

RESPONSIBILITIESThe Director of Data Science will have a strong background in statistics and predictive modeling to lead the data science - causal inference team.-- Lead, mentor, and develop a team of data scientists to apply statistical methodologies to healthcare analytics and population health problems-- Bring technical and operational leadership-- Drive operational efficiencies and influence team development to predict patient outcomes-- Proactively identify new ways to use or augment data to improve effectiveness and efficiency across all AI and data science roles and the broader company-- Serve as a thought leader to the team in troubleshooting issues and developing analytical approaches that drive business value-- Implement best practices for data management, quality control processes, and maintaining code/documentation repositories-- Prioritize and communicate Data Science goals based on our company objectives-- Own and present findings to various stakeholders across the company and mentor the team to grow their presentation skills-- Collaborate cross-functionally with internal AI, Clinical Products, Healthcare Provider Partnerships, Operations, and Engineer teams to optimize the use of data and analytics

SKILLS AND EXPERIENCE-- PhD. in Statistics, Biostatistics, Economics, Political Science, or related field. Emphasis on Causal Inference is a massive plus-- Experience working in R, SQL, Python-- Extensive commercial experience as a data scientist in healthcare working with medical claims data-- Previous experience as a senior leader or manager in a Data Science team-- Ability to synthesize academic literature and identify and learn new techniques and lead the implementation of novel methods-- Good understanding of study design and different data structures and methods to analyze them.-- Detail-oriented and organized-- Experience working with one of the major cloud platforms (AWS, Azure, GCP)-- Strong communicator

BENEFITS-- Mental, dental, and vision insurance.-- Flexible PTO-- Compensation is made up of a base salary and equity
HOW TO APPLYPlease register your interest by sending your CV via the Apply link on this page.
KEY TERMSStatistics, Data Science, Machine Learning, Healthcare, Claims data, Causal Inference, generalized linear models, Regression, Propensity, Models, AWS, Databricks, Azure, Pyspark, Causal analysis, Bayesian, Probabilities, Causality, Time series, Predictive models, Time-series

Keywords: Harnham, New York , Director of Data Science - Causal Inference, Executive , New York, New York

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