Senior Healthcare Data Scientist AIML, Stats, OR

Bethesda, MD - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Senior Healthcare Data Scientist Machine Learning/AI Statistics Operations Research

Job Summary
This hybrid position involves working both remotely and on-site to facilitate collaboration with interdisciplinary teams. The Senior Healthcare Data Scientist will join the Advanced Data Science group to support strategic priorities by developing and deploying predictive and prescriptive analytics solutions for clinical operational and business challenges in healthcare. The role requires experience with Machine Learning/AI Statistics and Operations Research as well as a portfolio demonstrating prior relevant projects.

Principal Responsibilities

Lead analytic efforts aligned with organizational priorities and clinical/business problems.
Develop validate and deploy predictive (machine learning/deep learning) and prescriptive (optimization/simulation) models.
Work with stakeholders to pilot test and validate analytic solutions.
Perform statistical analysis to evaluate pilot outcomes and generate actionable insights.
Develop presentations summarizing analytics results and support organizational strategy.
Build and maintain an analytics portfolio with robust documentation.
Lead cross-functional teams to drive innovation improve quality of care reduce costs and enhance operational efficiency.
Mentor staff on technical aspects and problem-solving in Machine Learning/AI Statistics and Operations Research.
Manage project plans documentation and stakeholder communications.
Scale successful projects and improve analytics applications based on end-user feedback.
Stay current with state-of-the-art literature in machine learning/AI statistical modeling and operations research.
Independently solve complex problems using open-source tools and in-house resources.

Qualifications

Education & Experience

PhD in applied mathematics data science physics computer science engineering statistics economics or a related field (or equivalent work experience).
7 years of industry experience in Machine Learning/AI Statistics or Operations Research.
Proficiency in SQL Python and R.
Experience applying computational algorithms statistical methods and predictive/prescriptive models to healthcare data.
Experience leading projects and multi-disciplinary teams.
Preferred experience with Natural Language Processing (NLP) and text mining.

Knowledge Skills and Abilities

Develop machine learning/deep learning algorithms for clinical operational or business problems.
Formulate and solve complex mathematical optimization problems using exact and heuristic methods.
Perform exploratory data analysis and advanced statistical analyses (e.g. regression cluster analysis ANOVA).
Design and prototype new application functionality.
Work with real-world data including data cleaning transformation and imputation.
Communicate findings clearly through written oral and graphical presentations.
Strong knowledge of databases data structures and enterprise transaction systems.
Ability to work independently and collaboratively on software and web application development.
Manage projects and cross-functional teams in a fast-paced environment.
Identify data anomalies debug software and implement process improvements with attention to detail.

Job Title: Senior Healthcare Data Scientist Machine Learning/AI Statistics Operations Research Job Summary This hybrid position involves working both remotely and on-site to facilitate collaboration with interdisciplinary teams. The Senior Healthcare Data Scientist will join the Advanced Data Scienc...

Job Title: Senior Healthcare Data Scientist Machine Learning/AI Statistics Operations Research

Principal Responsibilities

Lead analytic efforts aligned with organizational priorities and clinical/business problems.
Develop validate and deploy predictive (machine learning/deep learning) and prescriptive (optimization/simulation) models.
Work with stakeholders to pilot test and validate analytic solutions.
Perform statistical analysis to evaluate pilot outcomes and generate actionable insights.
Develop presentations summarizing analytics results and support organizational strategy.
Build and maintain an analytics portfolio with robust documentation.
Lead cross-functional teams to drive innovation improve quality of care reduce costs and enhance operational efficiency.
Mentor staff on technical aspects and problem-solving in Machine Learning/AI Statistics and Operations Research.
Manage project plans documentation and stakeholder communications.
Scale successful projects and improve analytics applications based on end-user feedback.
Stay current with state-of-the-art literature in machine learning/AI statistical modeling and operations research.
Independently solve complex problems using open-source tools and in-house resources.

Qualifications

Education & Experience

PhD in applied mathematics data science physics computer science engineering statistics economics or a related field (or equivalent work experience).
7 years of industry experience in Machine Learning/AI Statistics or Operations Research.
Proficiency in SQL Python and R.
Experience applying computational algorithms statistical methods and predictive/prescriptive models to healthcare data.
Experience leading projects and multi-disciplinary teams.
Preferred experience with Natural Language Processing (NLP) and text mining.

Knowledge Skills and Abilities

Develop machine learning/deep learning algorithms for clinical operational or business problems.
Formulate and solve complex mathematical optimization problems using exact and heuristic methods.
Perform exploratory data analysis and advanced statistical analyses (e.g. regression cluster analysis ANOVA).
Design and prototype new application functionality.
Work with real-world data including data cleaning transformation and imputation.
Communicate findings clearly through written oral and graphical presentations.
Strong knowledge of databases data structures and enterprise transaction systems.
Ability to work independently and collaboratively on software and web application development.
Manage projects and cross-functional teams in a fast-paced environment.
Identify data anomalies debug software and implement process improvements with attention to detail.