Data Scientist, Datavant

• Relevant university degree or equivalent training and 2+ years of work experience as a data scientist or data engineer
• Expertise with SQL and either Python (preferred) or R with strong coding skills and annotation protocols
• Expertise in the manipulation, integration, processing and interrogation of large datasets
• Developed skills in the application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions
• Strong understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods
• Exceptional initiative and ability to independently problem solve, seek help when needed, and take ownership when navigating ambiguity
• Excellent communication skills, both in short and long form writing, and speaking
• Well-developed time management skills and demonstrable experience of prioritizing work to meet tight deadlines for client deliverables

Desirable

• Privacy Hub is seeking an enthusiastic and meticulous US-based data scientist to join our growing team, which interrogates and assesses client information in terms of the re-identification risk to patients
• The primary responsibilities of the role are to process and analyze large health-related datasets, and contribute to the subsequent preparation of associated reports
• Develop expertise in healthcare data privacy from a quantitative and regulatory perspective
• Use programmatic tools to analyze data and explore hypotheses
• Contribute to engineering workflows and product development that automate repeatable components of an analysis
• Research emerging areas of patient privacy such as genomics data and the implications of new regulations