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Clinical Data Analyst / Informatics Consultant

University of Minnesota
life insurance, paid holidays
United States, Minnesota, Minneapolis
May 15, 2024
Job ID
354459
Location
Twin Cities
Job Family
Research-Support
Full/Part Time
Full-Time
Regular/Temporary
Regular
Job Code
9742S1
Employee Class
Acad Prof and Admin
About the Job

This Clinical Data Analyst / Informatics Consultant will work in Clinical and Translational Science Institute (CTSI) supporting Biomedical Informatics.

Principle Duties

10% Communication: Work with investigators, research personnel and other stakeholders to promote informatics services.
* Promote available CTSI Informatics services to investigators and research staff.
* Coordinate user testing/usability evaluation of offered services and capture needs for potential future enhancements.
* Ensure service delivery progress, delays and/or issues are regularly communicated with team management.

30% Informatics Consultation: Document project requirements, implementation plan, change management, execution and delivery.
* Create consultation reports that capture project requirements, the implementation plan, as well as, the execution and delivery of the project or product.
* Ensure that all informatics activities meet various compliance standards, IRB, data security, and contractual obligations of the University of Minnesota.
* Follow standard operating procedures and adhere to team policies and best practices.
* Strive for a high quality client experience and excellent user satisfaction.
* Discuss and provide feedback related to opportunities for enhancement with team management.
* Follow-up with investigators and staff to ensure delivered services meet users' expectations.
* Train users on data access procedures, analysis tools, and informatics infrastructure.

60% Technical: Query, extract, integrate, format, deliver and analyze data as per project needs.
* Run feasibility analysis to ensure project requirements can be processed through available informatics services. Assess availability of raw data and provide information about data quality to investigators and research personnel.
* Write code to query raw data and perform data transformation using tools such as SMMS, SQL Developer, SAS and/or R.
* Explore, investigate and propose alternative ways of identifying patient cohorts when data elements are not clear or are unavailable.
* Work closely with other team members to review execution plans and validate results.
* Continually seek to improve knowledge of new clinical data sources.

Qualifications

All required qualifications must be documented in application materials.

Required Qualifications:
* BA/BS and 6+ years of relevant analytical or quantitative work experience, or an advanced degree with a minimum of 4 years of experience in areas directly related to the position. Experience must include a minimum of three years of experience querying, extracting, formatting, and analyzing healthcare data such as inpatient/outpatient clinical records, labs, medications, provider data, and/or claims.
* Experience working with messy real-world data.
* Experience working independently in a rapidly changing scientific environment.
* Proficiency with query development and report writing.
* Demonstrated experience with T-SQL, PL/SQL, SAS and/or R programming languages.
* Knowledge of healthcare data management concepts and regulatory/compliance policies (HIPAA, IRB, etc.).
* Superior human relation skills, such as, the ability to use positive language communications to serve and influence our customers and stakeholders
* Ability to participate in occasional domestic travel to attend conferences or training workshops.
* Ability to support multiple projects simultaneously, prioritize assignments and work under limited supervision.
* Comfortable providing rapid and timely response to urgent requests.
* Comfortable following directions/instructions from supervisors and senior staff.

Preferred Qualifications:
* Knowledge of clinical data and healthcare code sets and ontologies (ICD9/ICD10, CPT, NDC/RXNorm, LOINC, etc.).
* Strong customer-facing experience, preferably with physicians, investigators, faculty/academic and research support staff.
* Experience with data visualization tools (Qlikview, Tableau).
* Research experience is a plus.
* Exposure to statistical modelling and/or advanced analytics using R or Python.

Benefits

Working at the University

At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.

The University also offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF)
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost

Please visit the for more information regarding benefits.

How To Apply

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-UOHR (8647).

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U:

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About the U of M

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

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