Dana-Farber Cancer Institute Senior Clinical Data Engineer in Boston, Massachusetts
The incumbent in this role will serve as the technical project owner for a new Pathways platform that enables Dana-Farber oncologists to author, maintain, utilize and share evidence-based cancer treatment pathways across many cancer types. The project is a codevelopment partnership between Dana-Farber’s Informatics and Quality and Patient Safety departments and a commercial vendor. The incumbent will lead efforts to discover, evaluate and access structured data describing patient demographics, cancer type, stage, treatment history, comorbidities and other attributes from a complex data environment. S/he will also serve as technical point of contact with the commercial vendor. This position will report to the Director of Health Informatics Architecture.
PRIMARY DUTIES AND RESPONSIBILITIES:
Coordinate all technical aspects of the collaboration, including:
Lead development of a standard data model for patient/tumor attributes that inform treatment decisions
Identify data elements within the DFCI data ecosystem that could be used to populate attributes in the Pathways solution; devise strategies for efficient and accurate data acquisition; drive and track progress at the individual data element level.
Build data views/interfaces to communicate data elements from the DFCI data warehouse to the Pathways solution
Collaborate in the gathering of functional and technical requirements from end users, key stakeholders and other staff.
Participate in development of the user experience/user interface for the Pathways system
Develop interfaces that accept data from the Pathways solution and store them in the DFCI data warehouse to support internal analytic efforts.
Work in collaboration with the Quality and Patient Safety/Pathways Program Manager to track and prioritize project tasks, organize day-to-day activities of team members to ensure timely completion of development efforts, manage resolution of identified risks, and ensure communication across technical work streams.
Provide direct oversight for the work of the informaticist(s) working on day-to-day aspects of software architecture, data architecture, and clinical terminology
Participate in efforts to apply Natural Language Processing (NLP) and/or Machine Learning to predict patient attributes, especially with regard to collection and organization of training and gold standard data sets.
Supervise other Informatics staff assigned to the Pathways project
SPECIAL WORKING CONDITIONS:
Full-time position in office environment
Position is currently funded for two years; renewal is possible depending on conditions at expiration
Requires local travel to IS and hospital sites, including patient care areas with limited patient contact, located on and off the DFCI campus
Other travel may be required to attend meetings, training, and professional development sessions
As projects and priorities dictate, must be available to work non-standard business hours, such as evenings, nights, weekends and holidays when necessary
MINIMUM JOB QUALIFICATIONS:
Master’s Degree required, preferably in Computer Science, Data Science, Public Health, Health Sciences, or related field. MPH or PhD in Population Health, Biology, or Cancer Biology a plus. Alternatively, technical degree with recent exposure to healthcare informatics is acceptable
5 years of data modelling, data management, or related technical expertise with clinical data is required
3 years of experience analyzing data using SQL, with demonstrable skills
A combination of education and experience may be substituted for requirements
KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
Excellent organizational and communication skills; required to track and communicate detailed knowledge, acquisition strategy and status of a large number of data elements from a complex universe
Understanding of software development and ability to quickly adapt to changing requirements
Ability to effectively translate complex business requirements to functional requirements
Excellent problem-solving skills
Ability to effectively coordinate and conduct small meetings, both formal and informal
Requires minimal direction from leadership and possesses the ability to learn quickly
Ability to successfully negotiate and collaborate with others of different skill sets, backgrounds and levels both internal and external to the organization
Ability to cooperatively and effectively work within a team
PREFERRED SKILLS AND EXPERIENCE
Experience with clinical data and/or Electronic Health Records (EHR) a plus
Experience with cancer-related clinical data including diagnoses, medications and outcomes measures.
Job ID: 2018-11697
External Company Name: Dana-Farber Cancer Institute
External Company URL: www.dana-farber.org