Datavant is a rapidly growing healthcare technology company with a mission to connect the world’s health data. By eliminating data silos in the healthcare industry, we aim to unlock opportunities to accelerate clinical data exchange, medical research, and help organisations design better ways to facilitate access, affordability, and quality of care leading to better patient outcomes.

By joining Datavant today, you’re stepping onto a highly collaborative team that is passionate about creating transformative change in healthcare. We look for 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 looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team, who interrogates and assesses client information in terms of the re-identification risk to patients.

As part of the Privacy Science team within Privacy Solutions you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing and consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets.

You Will

• Critically analyse 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.
  
  

What You Will Bring To The Table

• A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods.
• Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language.
• MSc or PhD in Statistics, Mathematics, Physics, Chemistry or similar.
• Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions.
• Familiarity with Amazon Web Services cloud-based storage and computing facilities.
• Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports.
• Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines.
• Drive to understand real-world data in context rather than consider it in abstraction.
• Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Solution’ knowledge base.
• An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation.
  
  

Bonus Skills

• Experience with SQL.
• Experience of creating documents using LATEX.
• Detailed knowledge of one or more types of health information such as genomics.
  
  

We are committed to building a diverse team of Datavanters who are smart, nice, and get things done where every Datavanter is empowered to bring their authentic self to their work. We are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an equal opportunity employer and welcome applications from people of all backgrounds and experiences.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your responses will be used to help us identify areas of improvement in our recruitment process. We can only see aggregate responses and are unable to view individual responses. In fact, we aren’t even able to see if you’ve responded or not! Responding is your choice and it will not be used in any way in our hiring process.