Data Scientist, Privacy Hub Datavant. . 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, fully remote 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 a distributed, remote-first team (no office locations) and we empower Datavanters to shape their working environment in a way that suits their needs -- learn more . here. !. . Datavant is looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team in the US, which interrogates and assesses client information in terms of the re-identification risk to patients.. . As part of the Privacy Science team within Privacy Hub 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/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: . . . Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports. . A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods. . Seeks to understand real-world data in context rather than consider it in abstraction.. . Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language. . Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions. . Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. . Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub’s knowledge base. . An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation. . Familiarity with Amazon Web Services cloud-based storage and computing facilities. . Bonus: Experience of creating documents using LATEX. . Bonus: Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images. . . We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.. . Our compensation philosophy is to be externally competitive, internally fair, and not win or lose on compensation. Salary ranges for this position are developed with the support of benchmarks and industry best practices. . . We’re building a high-growth, high-autonomy culture. We rely less on job titles and more on cultivating an environment where anyone can contribute, the best ideas win, and personal growth is driven by expanding impact. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated salary range for this role is $135,000-$155,000. . . At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your responses will be. . anonymous and . used to help us identify areas of improvement in our recruitment process. . (. We can only see aggregate responses, not 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. .. .
Data Scientist, Privacy Hub at Datavant