2 дня назад
Scientific Data Analyst (AI/ML)
38 560 - 51 413€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 Group results.
Company
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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