Data Scientist (Privacy)
Role details
Job location
Tech stack
Job description
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/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., * 25 vacation days
- Daily in-office lunch stipend (and a fully stocked kitchen)
- Hybrid work model: 2 days/ week in our office in Gracia
- Commitment to professional development opportunities
- Employee-led initiatives including annual company-wide innovation day & DEI resource groups
- Comprehensive private health coverage w/ out-of-network reimbursements options
- Flexible remuneration with Cobee (Restaurant, Transportation, Nursery)
- Peer & company recognition programs
- Monthly educational lunch & learns
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. 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. To learn more about our commitment, please review our EEO Commitment Statement here (https://www.datavant.com/eeo-commitment-statement) . Know Your Rights (https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal) , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Requirements
- MSc or PhD in Statistics, Mathematics, Physics, Chemistry or similar.
- Proficiency with programmable data analysis software Python, and the desire to develop expertise in its language.
- 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.
- 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.
- Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports.
- 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.
- Familiarity with Amazon Web Services cloud-based storage and computing facilities.
- Bonus: Experience with SQL.
- Bonus: Experience of creating documents using LATEX.
- Bonus: Detailed knowledge of one or more types of health information such as genomics.
- Bonus: Experience with public sector work.