7 дней назад
Scientific Data Solutions Architect (Biopharma)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Scientific Data Solutions Architect (Biopharma): Designing and implementing AI/ML-driven scientific data solutions for biopharma R&D with an accent on data modeling, Python-based parser development, and lab software integration. Focus on collaborating with scientists and engineers to industrialize scientific AI and accelerate drug discovery workflows.
Location: Must be based in or near Copenhagen, Denmark or Cambridge, UK
Company
is a scientific data and AI company building the operating system for scientific intelligence to accelerate discovery, development, and manufacturing in life sciences.
What you will do
- Engage directly with customers onsite (up to 25% travel) to understand scientific data challenges and accelerate solutions.
- Design and implement extensible, reusable data models to organize scientific data for scalable use cases.
- Develop Python-based parsers and integrate lab software (ELN/LIMS) via APIs.
- Build data visualizations and applications using Python frameworks like Streamlit.
- Collaborate with cross-functional teams to develop and deploy AI/ML models for scientific outcomes.
- Proactively communicate progress and deliver demos to customer stakeholders.
Requirements
- PhD with 4+ years or Masters with 8+ years of industry experience in life sciences.
- Extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing.
- Proven track record of designing and implementing AI/ML-driven use cases in cloud environments.
- Must have existing work authorization in Denmark or the UK; visa sponsorship is not provided.
- Excellent communication and storytelling abilities for diverse audiences.
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 options when not at customer sites.
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