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3 дня назад

Scientific AI Solutions Engineer (Biopharma)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
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
Scientific AI Solutions Engineer (Biopharma): Designing and implementing AI/ML-driven scientific data solutions for biopharma customers with an accent on data modeling, Python-based parser development, and lab software integration. Focus on industrializing scientific AI through direct customer engagement and cross-functional collaboration.

Company

hirify.global is the Scientific Data and AI Company building the operating system for scientific intelligence, helping life sciences firms accelerate discovery and manufacturing.

What you will do

  • Engage directly with customers onsite a couple of days per week in the Frankfurt Region to understand scientific data challenges.
  • Design and implement extensible data models and Python-based parsers to organize scientific data.
  • Integrate lab software (ELN/LIMS) via APIs and develop data visualization applications using Python frameworks.
  • Collaborate with scientists and AI engineers to develop and deploy ML/AI models.
  • Programmatically interrogate proprietary instrument output files to drive solution development.
  • Communicate progress and deliver regular demos to customer stakeholders.

Requirements

  • PhD with 4+ years or Masters with 8+ years of industry experience in life sciences with domain knowledge in drug discovery or preclinical development.
  • Proven track record of implementing AI/ML-driven use cases in cloud environments.
  • Business proficiency in German (C1 level) is required.
  • Must have existing work authorization in Germany; visa sponsorship is not available.
  • Ability to work onsite in the Frankfurt region multiple days per week.

Culture & Benefits

  • Competitive salary and equity in a fast-growing company.
  • Supportive, team-oriented culture focused on continuous improvement.
  • Generous paid time off (PTO).
  • Flexible working arrangements with remote work permitted when not at customer sites.

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