15 часов назад
Data Scientist (Privacy)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Privacy) (Python/Healthcare Data): Analysing large health datasets to assess patient re-identification risk and produce evidence-based privacy reports with an accent on statistical analysis, experimental design, and data security. Focus on researching novel sources of re-identification risk, applying hypothesis testing and resampling methods, and communicating findings to internal and external stakeholders.
Location: Barcelona, Spain; hybrid work with 2 days per week in the Gracia office
Company
provides a healthcare data collaboration platform that helps organizations securely connect and use health data.
What you will do
- Analyse large health datasets using standard and bespoke software libraries.
- Assess client information for patient re-identification risk and contribute to data privacy research.
- Apply experimental design, exploratory data analysis, hypothesis testing, and statistical methods to practical privacy problems.
- Discuss findings and progress with internal and external stakeholders.
- Produce comprehensive reports summarising analytical findings.
- Research novel and established sources of re-identification risk.
Requirements
- MSc or PhD in Statistics, Mathematics, Physics, Chemistry, or a related field.
- Proficiency with Python for programmable data analysis and motivation to develop further expertise.
- Understanding of probability distributions, bias, error, statistical power, sampling, and resampling methods.
- Experience applying scientific methods through experimental design, exploratory data analysis, and hypothesis testing.
- Strong time management, prioritisation, communication, and reporting skills with meticulous attention to detail.
- Awareness of data privacy, security, and relevant legislation; familiarity with AWS cloud storage and computing.
Nice to have
- Experience with SQL or LaTeX document creation.
- Detailed knowledge of health information domains such as genomics.
- Experience working with the public sector.
Culture & Benefits
- Hybrid work model with two office days per week.
- 25 vacation days and a daily in-office lunch stipend.
- Professional development opportunities and monthly educational lunch-and-learns.
- Private health coverage with out-of-network reimbursement options.
- Flexible remuneration through Cobee, including restaurant, transportation, and nursery benefits.
- Employee-led innovation and DEI initiatives, plus peer and company recognition programmes.
Hiring process
- Post-offer health screenings and vaccination documentation may be required for client and staff safety.
- Employment sponsorship is not available for this role.
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