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2 дня назад

Scientific Data Analyst (AI/ML)

38 560 - 51 413
Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
France
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 Data Analyst (AI/ML) (Clinical Trials and Statistical Programming): Analyzing clinical trial datasets and building traceable evidence pipelines with an accent on Python, R, reproducible workflows, and AI/ML-enabled automation. Focus on translating statistical analysis plans into submission-ready outputs, developing reusable analytical tools, and modernizing SAS-based programming practices.

Location: Marcy-l'Étoile, France; hybrid work with remote work permitted up to 2 days per week.

Salary: €38,560–€51,413 per year, plus collective variable compensation based on hirify.global Group results.

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines to improve people’s lives.

What you will do

  • Conduct exploratory and confirmatory analyses of clinical trial datasets, including SDTM and ADaM data, and deliver reproducible tables, listings, and figures.
  • Translate statistical analysis plans into robust, documented code in collaboration with biostatisticians and cross-functional study teams.
  • Support the transition from SAS-based workflows to R and Python using version control, code review, modular programming, and reproducible research practices.
  • Implement AI and machine learning tools, including LLMs, code generation, and automated quality control, to improve statistical programming workflows.
  • Build reusable packages, analytical pipelines, and automation frameworks for scalable clinical data analysis.
  • Evaluate emerging AI/ML tools, open-source technologies, and developments in the Pharmaverse and Posit/RStudio ecosystems.

Requirements

  • Strong proficiency in Python and/or R for data manipulation, visualization, reproducible workflows, and data analysis.
  • Experience with real-world data analysis through academic research, internships, healthcare or life sciences projects, Kaggle competitions, hackathons, or open-source contributions.
  • Master’s degree in Statistics, Data Science/Machine Learning, Applied Mathematics, or quantitatively focused Engineering.
  • AI/ML interest, an automation mindset, curiosity, and ability to learn independently.
  • Strong teamwork and interpersonal skills for collaboration in a multicultural environment, with the ability to lead and embrace change.
  • Fluent English required.

Nice to have

  • Coursework or projects involving healthcare, life sciences, or clinical research data.
  • Additional language skills.

Culture & Benefits

  • Permanent employment contract with a fixed salary paid over 12 months and collective variable compensation.
  • Health insurance, teleconsultation, second medical opinion coverage, and wellness programs.
  • 31 days of paid leave plus RTT depending on status, with remote work up to 2 days per week.
  • Public transport coverage of up to 80%.
  • Group savings and retirement plans with employer matching.
  • Internal and international mobility opportunities, learning and development programs, and employee recognition benefits.

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