Data Scientist, Privacy Hub, UK

About The Job

Datavant protects, connects, and delivers the worlds health data to power better decisions and advance human health. We are a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 500+ real-world data partners.

By joining Datavant today, youre stepping onto a highly collaborative, remote-first team that is passionate about creating transformative change in healthcare. We hire for three traits: we want people who are smart, nice, and get things done. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working environment in a way that suits their needs.

Privacy Hub is seeking an enthusiastic and meticulous UK-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.

You Will:

• 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.
  
  
  

What You Will Bring to the Table:

• 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.
  
  
  

Nice to have:

• An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation.
• Experience with cloud services for storage and computing.
• Experience with machine learning algorithms.
• Detailed knowledge of one or more types of health information such as genomics or medical imaging.
  
  
  

Please use the below link for job application and quicker response.

https://lifelancer.com/jobs/view/c1da4b57b898eaccb3c7063045f13df7