Data Scientist
Core
Support product development from idea generation to production transfer by discovering, designing, and implementing scientific workflows and data-driven use cases across R&D.
Role type
Data Scientist (R&D)
Builds
Data pipelines, advanced analytics, and AI/ML solutions for life sciences and diagnostics
Domain
Life sciences, diagnostics, biotechnology
Deliverable
production ML models | product features
Required skills
Python, R, explorative data analysis, data cleaning, transformation, modern AI/ML techniques, SQL, data management solutions, cloud platforms (AWS, Azure), version control (Git), multivariate statistics, predictive modelling
Preferred skills
image analysis, computer vision, protein/DNA sequence alignment, Design of Experiments (DoE), Web development, DevOps, CI/CD, wet lab experience, analytical chemistry
Technologies
Python, R, SQL, AWS, Azure, Git
Responsibilities
Support experimental design (DoE) and planning; Drive and foster a data-driven culture within R&D; Work with R&D SMEs to understand scientific workflows and identify opportunities for automation, optimization, and AI/ML; Design and document maintainable solutions and data flows in collaboration with stakeholders and IT architects; Develop applications, tools, and interfaces that help researchers access, visualize, and analyze data efficiently; Support production deployment, monitoring, and operation with IT, DevOps, and platform teams; Identify and implement relevant new techniques while following technical developments in the field
Seniority
Mid-level, hands-on IC
