The Cancer Data Facilitator is both a technical resource, as well as a research process expert. This newly created position will bridge the Cancer Center with DOCTR to guide researchers through the process of obtaining clinical, genetic and/or other related data for health research in various oncology diseases. Data resources will include any available source of health information from institutional, state and national sources. Local sources of clinical data include U-M’s electronic record, MiChart, via a self-serve data discovery tool portal like DataDirect. The Facilitator will play a key role in the development and refinement of data practices which will constitute an integral part of the Cancer Center’s mission. The Facilitator position is a service-based role that includes monitoring the progress of research projects and identifying challenges to data access and data quality with the overarching goal of increasing the efficiency of data extraction process and producing data in a timely manner. The Facilitator will be the in-house expert on our research data management systems (we're currently using products called Oncore and REDCap) and will work closely with our scientists to obtain and organize research data according to emerging standards. As studies are conceived, the Facilitator will work with scientists to plan, create, and test data collection and processing workflows. In addition, the Facilitator will work among a team of data analysts and other facilitators in DOCTR to advance the infrastructure supporting cutting-edge research at U-M.
The Facilitator will need to be proficient in databases extracts using SQL and python. He/She should be familiar with the principles and practices of scientific research and project management as well as pulling data from disparate data sources, cleaning and manipulating datasets for optimal use by the oncology research community. Strong technical skills and communication skills are sought after for this position.
Who We Are
The University of Michigan Rogel Cancer Center is a National Cancer Institute-designated comprehensive cancer center. With expertise in laboratory, clinical, and behavioral and population-based research, the Rogel Cancer Center takes a multidisciplinary approach to patient care. New forms of treatment, which are often developed on site through clinical trials, are integrated into patient care. The Center’s commitment to research and innovative treatments results in high-impact patient care that is recognized by its #15 ranking in cancer care by US News and World Report.
Research in the Rogel Cancer Center leverages investments made by the Medical School’s Office of Research. The primary goal of the Office of Research is pursuing innovative science to improve the lives of patients and their families. The various teams within the OoR, including the Data Office for Clinical and Translational Research (DOCTR) strive to: 1) create and maintain strategic resources to enhance investigators' competitiveness; 2) streamline research processes to increase research team satisfaction; and 3) build a coordinated, data-driven infrastructure to support high-quality research.
- Shepherd researchers through the process of acquiring clinical, genetic and other data for cancer research in a compliant manner, ensuring that all regulatory and data governance requirements are met
- Design and development of complex database queries for oncology researchers
- Join data from various systems, disparate databases into a cohesive set for analytics
- Maintain documentation of decisions made during the build of SQL queries
- Adhere to data quality processes to ensure product is valid and reproducible
- Work with a team of diverse, motivated individuals toward a shared mission
- Interface with genetic data specialists, programmers and other experts to facilitate assembling multifaceted data sets (examples might include addition of socioeconomic, epidemiology, or GIS data)
- Liaise and coordinate among data and biospecimen providers to ensure delivery or resources to end-user
- Guide and support efforts to organize, format, and upload research data to repositories
- Collaborate with oncology scientists to plan, create, and test the data collection and processing workflows. Through this process, document and refine procedures/standards that reflect the most efficient workflows
- Create and maintain a cancer specific data kiosk/user interface to understand the data needs of researchers and assist in the ETL processing, preparation and deliverance of research datasets and periodic data updates
- Work with the investigators to ensure that projects progress efficiently from approved protocols through to the completion of data or sample access requirements
- A background in health-related science with a working knowledge of the fields of Information Science, Public Health or Domain Sciences with computer / computational / data specialization or equivalent experience information systems, bioinformatics,
- At least 3 years post bachelor’s or master's degree experience in:
- Organizing and processing large datasets with multiple types of data, human subjects research data preferred
- Human subject research processes (e.g. study planning, data collection, processing, analysis; IRB, HIPAA-policies, federal agency requirements)
- Strong analytical, time-management, problem-solving and decision-making abilities
- Experience with translating information requirements into SQL code
- Ability to work successfully in programs that span U-M with an understanding unique processes at a school/college level
- Excellent communication and problem-solving skills; ability to interact with diverse individuals including PIs, research staff and management.
- The skills needed to manage ongoing research processes, interface successfully with multiple partners and enhance these processes over time
- Ability to manage multiple competing priorities with competing data needs
- Candidate must be committed to data security and the protection of sensitive information with demonstrated knowledge of applicable data use/sharing safeguards
- Proactive and creative techniques in solving researchers’ problems
Positive attitude, ability to work well with others and independently
- BA/BS in Computer Science or equivalent experience with MS degree preferred
- 5-10 years’ experience directly related to the responsibilities specified
- Experience with project management practices
- Familiarity using high-throughput computing systems
- Familiarity with statistical tools and practices
- Enthusiasm for scientific research
We are seeking an experienced and dynamic staff member with a commitment to contributing to a diverse, equitable and inclusive environment for all members of our community.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.