Mercy · 9 hours ago

Healthcare - Data Scientist (Remote)

Chesterfield, MO

Full-time

Remote

Entry, Mid Level

2+ years exp

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Responsibilities

Generate, extract, and compile data to perform creative, high-quality analyses and evaluations.

Support decision-making and drive impact within the healthcare organization.

Document, develop, and communicate project plans and analytic findings with 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.

Data extractionData managementData analysisSQLHealthcare dataPythonRPredictive modelsPrescriptive modelsCloud-based solutionsMachine LearningDeep learning toolsTensorFlowSparkTheanoPyTorchScikit-learnKerasCaffeNvidia DigitsJupyter notebooksPyCharmGitlabGithubData presentationCollaboration skills

Required

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

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

Have a strong knowledge of electronic medical record data, clinical data, claims data, or financial data.

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 a broad range of deep learning tools (e.g., TensorFlow, Spark, Theano, PyTorch, Scikit-learn, Keras, Caffe, Nvidia Digits) 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.