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15 часов назад

Data Scientist (Privacy)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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