Senior Data Management Specialist - Diabetes (remote)
Type: Full Time
Salary: 75,000 and above
Health Information Technology Provider
Internal Number: 1234
We are stealth health-tech start-up that is well funded and on track to make a big impact in the drug discovery and re-discovery sector. We are a small team of about 20 people growing quickly!
We are looking for our next team member that will support the integration of diabetes data from multiple sources, including clinical trials, Electronic Health Records (EHRs), and linked claims so that the data can be supplied in a unified fashion to Artificial Intelligence/Machine Learning (AI/ML) developers using our proprietary (start-up) platform.
Identify the necessary transformations to convert inbound data (clinical trial, EHR, claims, etc.) into a standardized data representation, working with engineering teams to ensure that data ingestion is smooth, regular, and accurate.
With engineering/DevOps teams, identify and develop the necessary QA tests to validate ongoing data ingestion and integration and ensure notifications when issues arise.
Act as a subject matter expert for AI/ML teams on the characteristics, strengths, and limitations of the data.
Other duties as assigned. We are a small company where everyone wears "many hats". You must be comfortable with a fast pace, love autonomy, and thrive in areas of ambiguity.
100% company provided Health, Dental and Vision insurance
Salary, annual bonus and shares in a seed level startup
Unlimited paid time off, flexible working schedule
100% remote work - No office, no commute!
5+ years (senior*) of experience with the management of biomedical data with particular focus on clinical trials, claims, and/or EHR data. Preference will be given to individuals with experience in multiple data types. * There is a mid level role as well, please apply if you have 2+ years of experience.
Broad knowledge of existing data standards in use in diabetes, in both routine care and research.
Familiarity with software development methods and languages. No specific technology is preferred, the key is to be able to work effectively with developers.
Familiarity with AI/ML technologies is a plus.
A general understanding of the conduct of biomedical research and the delivery of care in diabetes.