Senior Data Strategist and Data Operations Lead
University of Chicago
Department
About the Department
Job Summary
This position is partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
This position will be eligible for an alternative work arrangement.
Responsibilities
Provides oversight and leadership in definition, deployment, and/or maintenance of data ingress and egress policy and procedure across D4CG programs, including cancer and non-cancer programs.
Identifies opportunities for improved efficiencies in data acquisition, quality control, and research data set generation.
Provides key insights in defining D4CG data operations, data linkage, data provenance, data standards, data representation, and query strategies.
Provides operational and strategic support alongside other D4CG leaders in technology and standards in burgeoning real-world data (RWD) initiatives.
Meets with the research user community to better understand opportunities to improve existing services or develop new services to meet evolving demand.
Interfaces and collaborates with senior scientific and technical leaders at peer groups (e.g. Genomic Data Commons, Gabriella Miller Kids First) to improve the collective interoperability of data held across different ecosystems.
Contributes to D4CG scholarly publications.
Leads in the development of new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
Masters degree in computer science or associated discipline.
Experience:
7 years of research informatics experience combined with experience with clinical informatics.
Experience with extracting clinical data into research systems.
Previous research data warehouse or data commons experience strongly preferred.
Experience with clinical and research vocabularies (e.g. NCIt, Uberon, MONDO) including understanding relationships and properties of the vocabulary.
Experience with a metathesaurus such as UMLS.
Experience with developing research and clinical informatics workflows.
Experience with research data capture systems such as REDCap or Medidata Rave.
Established history of team leadership and innovation.
Experience with FHIR standards.
Working Conditions
This position will be eligible for an alternative work arrangement.
Application Documents
Resume (required)
Cover letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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