Clinical Data Scientist

University of Chicago-posted 10 months ago
$70,000 - $100,000/Yr
Full-time • Entry Level
Chicago, IL
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The incumbent will be responsible for supporting clinical data science and analytics requests for the Biological Sciences Division. This will require the development and deployment of analytics and machine learning tools, relational databases, and web-based interfaces to facilitate the collection, analysis, and presentation of structured and unstructured data. This includes understanding data extractions, transformations, and loads and translating SQL code to support the ETL team in acquiring new data sources into data warehouses, affiliated data marts, both local and distributed and self-service tools, and working with existing teams to further development according to existing standards and conventions. The incumbent will be responsible for wrangling clinical data and assisting team members with identifying insights from procured data sets. This will include understanding data source acquisition and positioning from self-service tools, identifying additional data sources to be procured, and harmonizing them to meet project-specific goals. Additionally, the incumbent will be responsible for working with data, both standardized and unstandardized, and creating and maintaining a growing body of documentation. Incumbent will perform advanced data analysis using coding languages to answer research questions under several University faculty members' direction and support quality improvement initiatives. Finally, this position involves translating project requirements into data analytics specifications, generating project deliverables, and conducting code reviews to ensure analytics insights are of the highest quality.

  • Analyze clinical and other related data to identify and interpret trends in support of data requests, business cases, and proposed projects.
  • Translate requirements for the design, construction, testing, and maintenance of data warehouse and related functionality.
  • Design, develop, and test business intelligence outputs (including visualization) to ensure useful and insightful information using software including R, Python, Tableau, and/or Excel to support research and quality improvement initiatives.
  • Test and validate data with the purpose of understanding and making conclusions to support decision-making processes.
  • Assist in analyzing data for the purpose of extracting applicable information.
  • Perform research projects that provide analysis for a number of programs and initiatives.
  • Help prepare results for publication, grants, and online visualizations and presentations.
  • May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
  • Collect, organize, and may analyze information from the University's various internal data systems as well as from external sources.
  • Build and rigorously evaluate statistical models using best practices of machine learning and statistical inference.
  • Perform maintenance on large and complex research and administrative datasets.
  • Contribute to the design, implementation, and validation of an efficient and reproducible data processing pipeline.
  • Manage a variety of information systems and data files, including large and complex files: analyzing file structure, using and creating file layouts, transforming raw data into finished products.
  • Assist with the development of analytic pipelines for natural language processing of clinical text, including providing general programming support.
  • Monitor for timely and accurate completion of select datasets.
  • Participate in strategic initiatives to enhance data management and reporting to support research and quality improvement initiatives.
  • Collaborate closely with a cross-functional team of Data Analysts, Project Managers, Developers, and Leadership to ensure high-quality projects are performed.
  • Proactively identify issues and opportunities to improve data systems and related policies as an aspect of data governance.
  • Prepare project memos, summaries, presentations, reports, and other work products for dissemination targeting academic researchers and other stakeholders, as needed.
  • Attend meetings and read current literature on the computational aspects of clinical research informatics.
  • Respond to requests and engage other IT resources as needed.
  • Analyze moderately complex data sets for the purpose of extracting and purposefully using applicable information.
  • Provide professional support to staff or faculty members in defining the project and applying principles of data science in manipulation, statistical applications, programming, analysis and modeling.
  • Clean, transform, merge, and match between large and complex research and administrative datasets.
  • Plan own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources.
  • Build and analyze statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference.
  • Serve as a single point of contact for all requests and engage other IT resources to assist as needed.
  • May partner with other campus teams to assist faculty with data science related needs.
  • Perform other related work as needed.
  • Minimum requirements include a college or university degree in related field.
  • Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
  • Master's degree in biostatistics, computer science, or other related field OR requisite job experience in statistical analysis.
  • Terminal degree strongly preferred.
  • Experience in organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy.
  • Experience in data management, including extraction, transformation, loading, validation/testing, and structuring of data.
  • Experience with business intelligence and visualization tools such as Tableau, Power BI, etc.
  • Knowledge of academic medical centers.
  • Knowledge of research processes.
  • Ability to work in matrixed environment.
  • Ability to communicate with multiple stakeholders and collaborate with cross-functional teams.
  • Understanding of various common data models (OMOP, PCORnet).
  • Experience working with application development and/or agile teams.
  • Understanding of healthcare terminologies.
  • Understanding of common healthcare related coding systems (ICD9/10, CPT, LOINC, RxNORM).
  • Advanced knowledge of machine learning techniques and algorithms.
  • Experience developing, debugging and testing reproducible and maintainable code.
  • Experience with or proficiency in Python, R and Bash programming.
  • Excellent written and verbal communication skills, with the ability to present data in a simple and straightforward way for non-technical audiences.
  • Strong interpersonal skills.
  • Strong initiative and a resourceful approach to problem solving and learning.
  • Ability to work independently and as part of a team in a fast-paced, matrixed environment.
  • Sound critical thinking skills.
  • Strong attention to detail with superb analytical and organization skills.
  • Familiarity with program evaluation and causal inference.
  • Health insurance
  • Retirement plans
  • Paid time off
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