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6 дней назад

Scientific Lead (Health Data Research)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Scientific Lead (Health Data Research): Driving and publishing applied research studies using real-world health data with an accent on scientific quality, AI/ML, and data usability. Focus on informing product development, collaborating with scientific communities, and translating research findings into actionable insights.

Location: Regularly be present in our Berlin and sometimes in our Potsdam office. Option to work abroad remotely up to 2 months per year from various countries.

Company

hirify.global is a nonprofit digital health organization supported by the Hasso Plattner Foundation, focused on making health data accessible, standardized, and secure for research.

What you will do

  • Lead and mentor the Science Team, setting priorities and ensuring scientific quality across projects.
  • Design, supervise, and publish applied research studies using real-world data (EHR, PROs, COAs, wearable/sensor data, unstructured data like clinical notes or images).
  • Align research needs with product and engineering teams to inform feature development and data usability.
  • Contribute to grant proposals, ethics applications, and scientific evaluations.
  • Represent D4L in scientific collaborations, conferences, and OHDSI-related initiatives.
  • Translate analytical results and research findings into clear, actionable insights for internal and external stakeholders.

Requirements

  • Hands-on expertise with RWD/RWE, plus solid skills in R and Python; desirable OMOP and OHDSI tool experience.
  • Proven experience conducting and publishing health data research with large-scale or real-world datasets.
  • Knowledge of ETL processes, SQL databases (PostgreSQL), and handling unstructured data.
  • Proven expertise in AI/ML and data visualization.
  • Strong leadership and mentoring skills in a multidisciplinary research environment.
  • Excellent scientific communication and the ability to translate complex results into strategic insights.
  • PhD (or MD/MS or equivalent) in Data Science, Epidemiology, Biostatistics, Public Health, or a related discipline.
  • Languages: English (C1+) required; desirable: German, French, Portuguese, Korean, Arabic.

Culture & Benefits

  • Nonprofit work with a clear purpose: Make the world a healthier place.
  • A diverse and international team of professionals working together at 3 locations (Potsdam, Berlin and Singapore).
  • Real work-life balance with flexible working hours, 30 days of paid vacation, and the possibility for mobile work.
  • An attractive budget for your further career development.
  • Employee driven initiatives like the climate initiative and the DEI (diversity, equity & inclusion) initiative.
  • Support in the areas of private healthcare and sustainable mobility.

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