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