Data Analytics Scientist Internal Medicine (Medical Informatics)

Department:

SOM KC Internal Medicine - Administration

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Medical Informatics

Position Title:

Data Analytics Scientist - Internal Medicine (Medical Informatics)

Job Family Group:

Professional Staff

Job Description Summary:

The Data Analytics Scientist in the Division of Medical Informatics provides advanced analytical and technical support for biomedical clinical translational and population health research. The position collaborates with faculty investigators clinicians biostatisticians informaticians and other stakeholders to translate research questions into data-driven analytical strategies using electronic health records (EHR) claims registries and other real-world data sources. Responsibilities include data acquisition and preparation cohort development statistical and computational analysis predictive modeling data interpretation and development of reproducible analytical workflows. The position contributes to research study development manuscripts grant proposals presentations and other scholarly products while applying appropriate data management quality security and informatics practices.

Job Description:

Job Duties:

• Serve as a research associate and scientific collaborator on biomedical informatics clinical translational population health and real-world data research projects.
• Collaborate with faculty investigators clinicians biostatisticians informaticians and other stakeholders to formulate research questions hypotheses study aims and analytical strategies.
• Contribute to the design and execution of observational studies comparative effectiveness research health services research clinical research and other data-driven investigations.
• Translate scientific questions into computable phenotypes cohort definitions data specifications outcome definitions and reproducible analytical workflows.
• Conduct literature reviews feasibility assessments preliminary analyses and data characterization to support study development and determine the suitability of available data resources.
• Collect preprocess integrate clean transform and analyze large-scale structured and unstructured healthcare data including EHR claims registry research and other real-world data.
• Develop and apply statistical models machine-learning algorithms natural language processing predictive models and other computational methods to address biomedical and clinical research questions.
• Interpret analytical findings evaluate robustness and limitations and communicate results effectively to investigators and both technical and non-technical stakeholders.
• Contribute to scientific manuscripts abstracts conference presentations technical reports grant proposals research protocols statistical analysis plans and other scholarly products.
• Design develop optimize and maintain scalable relational databases research data repositories data warehouses data marts and associated database schemas and data models.
• Design and maintain robust ETL/ELT pipelines for extracting integrating harmonizing validating and loading large-scale healthcare datasets from heterogeneous sources.
• Optimize SQL queries database structures indexing strategies storage approaches and data-processing workflows to improve performance scalability reliability and maintainability.
• Design develop test deploy document and maintain production-quality software applications APIs analytical packages data pipelines and automation tools using Python R SQL SAS and other appropriate technologies.
• Apply modern software engineering practices including Git-based version control modular design peer code review automated testing CI/CD containerization documentation and release management.
• Participate across the software development lifecycle (SDLC) and translate research and operational requirements into scalable secure maintainable and cost-effective technical solutions.
• Support healthcare data interoperability and harmonization using common data models standards terminologies and ontologies such as PCORnet CDM OMOP FHIR HL7 UMLS LOINC SNOMED CT and RxNorm as applicable.
• Implement and maintain data quality validation provenance lineage metadata reproducibility and change-management processes for research data and analytical products.
• Ensure appropriate data security privacy governance and regulatory compliance working with investigators IRB personnel information security teams and other stakeholders on HIPAA data-use and research requirements.
• Provide technical leadership and mentorship to analysts students research staff and junior technical team members and contribute to shared standards for data architecture software development analytics and research reproducibility.
• Manage and contribute to the full lifecycle of multidisciplinary research and informatics projects including planning requirements gathering technical design implementation monitoring documentation scientific dissemination and continuous improvement.

This job description is not designed to cover or contain a comprehensive listing of activities duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job not an exhaustive list of all possible job responsibilities tasks duties and assignments. Furthermore job duties responsibilities and activities may change at any time with or without notice.

Required Qualifications

Education: Bachelors degree in computer science biomedical informatics data science statistics biostatistics mathematics engineering epidemiology or a related quantitative discipline.

• This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge analytical skills and professional competencies necessary to perform the duties of the position. The level of degree is commonly recognized as the standard qualification for similar roles in the public and private sector ensuring that the university remains competitive with industry aligned practices enhances collaboration with external partners and supports the delivery of services and programs that meet professional and market-driven expectations.

Work Experience:

• Five (5) years of experience developing testing debugging documenting and maintaining analytical software or data-processing applications.
• Experience using SQL and at least one general-purpose programming language such as Python R or SAS.
• Experience with relational databases data modeling data warehousing or large-scale data processing.
• Experience developing ETL/ELT workflows and integrating data from multiple sources.
• Experience applying software development practices including version control testing code review and technical documentation.
• Experience troubleshooting technical problems and developing software solutions.
• Experience using generative AI tools including large language models or AI-assisted coding and research tools in software development data analysis documentation or research.
  

Preferred Qualifications

Education:

• Masters or doctoral degree in computer science biomedical informatics data science statistics biostatistics engineering or a related discipline.

Work Experience:

• Professional experience in data science data engineering software engineering biomedical informatics or a closely related technical field.
• Experience developing and maintaining software applications data pipelines or analytical solutions using Python and SQL.
• Experience working with large-scale databases or data-processing environments.
• Experience working with healthcare clinical biomedical or research data.
• Experience applying software development practices including version control testing documentation and code review.

Skills

• Analytical skills
• Organizational skills
• Communication skills

Required Documents

• Resume/CV

• Cover letter

Comprehensive Benefits Package:

Coverage begins on day one for health dental and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance long-term disability insurance and various additional voluntary insurance plans are available. Paid time off including vacation and sick begins accruing upon hire plus ten paid holidays. One paid discretionary day is available after six months of employment and paid time off for bereavement jury duty military service and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available.

Required Experience:

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