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 70000 hospitals and clinics 70% of the 100 largest health systems and an ecosystem of 500 realworld data partners.

By joining Datavant today youre stepping onto a highly collaborative remotefirst 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 highpotential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed remotefirst 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 UKbased data scientist to join our growing team which interrogates and assesses client information in terms of the reidentification risk to patients. The primary responsibilities of the role are to process and analyze large healthrelated 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.
• Welldeveloped 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.

Remote Work :

No