Mercy · 17 hours ago

Healthcare - Data Scientist (Remote)

Chesterfield, MO

Part-time

Remote

Entry, Mid Level

2+ years exp

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AssociationChild Care

No H1B

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Responsibilities

Work within a team of other advanced professional data scientists, engineers, and application developers in the generation, extraction, and compilation of data.

Perform creative, high-quality, state-of-the-art analyses and evaluations that produce insights, support decision-making, and drive impact within a leading and transforming healthcare organization.

Support Mercy's efforts to deliver on the vision of personalized, predictive, and proactive care.

Demonstrate expertise with data extraction, management, and analysis with data analytics tools.

Deliver outputs on a timeline.

Effectively document, develop, and communicate project plans and analytic findings with a variety of technical/non-technical stakeholders.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Electronic medical record dataClinical dataClaims dataFinancial dataSQLPythonRData analytics toolsComputational algorithmsStatistical methodsPredictive modelsPrescriptive modelsCloud-based data solutionsMachine LearningPower BITableauQlikJupyter notebooksPyCharmGitLabGitHubData presentation

Required

At least 2 years of experience in a similar role in academia or industry or PhD + 1 years in a similar role in academia or industry

Strong knowledge of electronic medical record data, clinical data, claims data, or financial data

Graduate degree in Public Health, Health Care Research, Epidemiology, Statistics, Data Science, Health Policy, Economic, Finance, Simulation/Simulation-Based Optimization, or related field

Experience with SQL

Intermediate/Advanced development skills with at least one scripting language (Python, R, etc.)

Ability to quickly learn new analytic tools and packages

Ability to develop and apply computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resource, quality and supply chain)

Ability to develop and deploy healthcare-relevant predictive and prescriptive models

Experience with Cloud-based data and AI solutions, especially in implementation and operationalization of Machine Learning based solutions

Hands-on experience with visualization tools (e.g., Power BI, Tableau, or Qlik) and collaboration environments (e.g. Jupyter notebooks, PyCharm, gitlab, github)

Excellent problem-solving skills

Strong organizational skills, an orientation toward detail, and collaboration oriented

Present complex data (qualitative and quantitative) in a clear, concise, and compelling manner to both technical and non-technical audiences to inspire action