[Remote] Data Scientist, Privacy
Note: The job is a remote job and is open to candidates in USA. Datavant is a data platform company and the world’s leader in health data exchange. The Data Scientist in Privacy will critically analyze large health datasets, produce high-quality reports, and contribute to research on re-identification risk to ensure patient privacy is safeguarded.
Responsibilities
- Critically analyze large health datasets using standard and bespoke software libraries
- Discuss your findings and progress with internal and external stakeholders
- Produce high quality reports which summarise your findings
- Contribute to research activities as we explore novel and established sources of re-identification risk
Skills
- Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports
- A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods
- Seeks to understand real-world data in context rather than consider it in abstraction
- Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language
- Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions
- Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines
- Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base
- An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation
- Familiarity with Amazon Web Services cloud-based storage and computing facilities
- Experience creating documents using LATEX
- Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images
- Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued
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