MU Health Care

Data Scientist

Job description

Data Scientist

  • 21004110
Job: Information Technology
Primary Location: Columbia
Schedule: Full-time
Shift: Day Job
Unposting Date: Ongoing
Description


APPLICANTS
MUST APPLY HERE!! -> APPLY <- APPLICANTS MUST APPLY HERE!!

Applications submitted anywhere besides the link above, including from within this system, will NOT be accepted.

This job is in the University of Missouri’s NextGen Biomedical Informatics Team, NOT in MU Health Care.

The University of Missouri (MU) NextGen Biomedical Informatics Team is seeking highly motivated individuals with a passion for data-driven scientific discovery, improving healthcare, and informatics, who desire to play a formative role in the development of informatics capabilities and collaboration as well as conducting research. The Data Analyst candidate is expected to engage in collaborative research to develop data-driven solutions, integrate and evaluate effective clinical decision support, and fully exploit the EHR and administrative data as a platform for quality improvement. The candidate is expected to work closely with lead analysts to engage in collaborative research across multiple institutions, which often involves reviewing, analyzing, modifying and implementing distributed analytic packages written in SAS, R, and/or SQL/python. Working with informatics personnel, clinical organizations contributing data, and national resources, the candidate will also help maintain clinical/translational knowledge bases/resources aligned with standard terminologies/ontologies so as to enhance accessibility and interoperability of our resources with national research objectives. The job duties include:

  • Review, analyze, modify and implement SAS and/or R and SQL
  • Conduct analysis and design input/content with informatics technical staff, other clinical translational science collaborators, and national translational resources to streamline investigator access to translational and administrative resources.
  • Coordinate and provide informatics support to internal and external .
  • In collaboration with Institutional Review Board personnel, evaluate regulatory requirements, data repository contents and delivery systems, and researcher specifications to provide de-identified or identified data (where appropriate) to investigators and their research teams.
  • Maintain clinical/translational knowledge bases/resources aligned with standard terminologies/ontologies so as to enhance accessibility and interoperability of our resources with national research objectives.
  • Ensure the integrity and security of institutional data. Follow change management procedures. Adhere to confidentiality and security policies and procedures. Test and verify accuracy of data. Provides adequate security through identification of user types in conjunction with the user department. Performs design reviews and technical reviews when appropriate.
  • Provide training in analytics environments and onboard investigators in collaboration with larger informatics team
  • Performs other duties as assigned.

Salary


Salary Range: $53,600 - $96,992/year

Grade: GGS-011

University Title: DATA ANALYST I

Internal applicants can determine their university title by accessing the Talent Profile tile in myHR.



Salary Range: $62,000 - $118,752/year

Grade: GGS-012

University Title: DATA ANALYST II

Internal applicants can determine their university title by accessing the Talent Profile tile in myHR.



Salary Range: $71,900 - $145,044/year

Grade: GGS-013

University Title: DATA ANALYST III

Internal applicants can determine their university title by accessing the Talent Profile tile in myHR.


Vaccination Statement

After careful consideration of COVID-19 virus trends and the overwhelming evidence of COVID-19 vaccine safety and effectiveness, the School of Medicine, along with MU Health Care, the Sinclair School of Nursing and the School of Health Professions, recently announced the decision to require COVID-19 vaccinations by Oct. 1, 2021, for all employees, unless granted a medical or religious exemption.

All new hires will be required to submit proof of vaccination prior to your start date. If you would like to request a medical or religious exemption, you must do so upon acceptance of employment so our team has time to review prior to your scheduled start date. You will not be allowed to begin work until you have submitted proof of vaccination or received an approved medical or religious exemption.

Thank you for helping us to create the safest environment possible for our colleagues, students and our patients by protecting yourself and others through COVID-19 vaccination.

APPLICANTS MUST APPLY HERE!! -> APPLY <- APPLICANTS MUST APPLY HERE!!

Applications submitted anywhere besides the link above, including from within this system, will NOT be accepted.

This job is in the University of Missouri’s NextGen Biomedical Informatics Team, NOT in MU Health Care.


Qualifications

Minimum Qualifications

This position will be screened based upon the Preferred Qualifications

Preferred Qualifications

  • The Preferred candidate will have either a Master’s or PhD
  • Knowledge of clinical information systems and biomedical informatics, clinical research, and translational resources such as UMLS, i2b2, Redcap, vivo web, clinical trial systems, and human subjects research processes (IRB).
  • Knowledge of national data model standards and terminologies
  • Knowledge of data visualization tools such as Tableau, QlikView, Power BI or other comparable applications
  • Experience in the manipulation and analysis of large datasets (over 1 million patients, 1 billion observations) in cloud environments (e.g., Amazon Web Services) and familiarity with working in a LINUX environment
  • Skills and experience in statistical modeling, data mining and machine learning and the ability to design and prototype scalable models to help answer research questions
  • Experience with implementing or developing Natural language Processing (NLP) techniques to generate insights from big text corpus (e.g., clinical notes)
  • Doctoral degree in statistics, biomedical informatics, or data science
  • Prior work experience in healthcare and/or healthcare claims analysis (i.e. Medicare/Medicaid or private insurance)

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