Scientific Data Engineer

As a Scientific Data Specialist, you curate, validate, and maintain high-quality scientific data for BIOVIA’s informatics platform. You will shape data models and ontologies, ensuring seamless integration with CAD, simulations, and LIMS while supporting cross-functional teams. You’ll apply statistical and ML techniques to derive insights and build predictive capabilities. This role offers opportunities to influence data quality, platform capabilities, and domain expansion, within a collaborative, innovation-driven culture.

• Professional Growth
• Learning Environment
• Collaboration
• Company Culture

• Data curation and validation from literature, databases, vendor catalogs, and experiments
• Design and maintenance of scientific ontology and data models
• Develop ETL pipelines to ingest and clean datasets
• Apply statistical and ML methods to analyze data and build predictive models
• Integrate scientific database with CAD software, multi-physics simulations, and LIMS
• Gather user feedback and validate data usefulness and accuracy
• Stay current with domain and informatics advancements to improve data resources
• Maintain documentation of data sources, validation procedures, and data models
• Collaborate with global teams to deliver reliable data solutions

• Master's or PhD in a relevant scientific discipline
• Proven experience in scientific data curation, validation, and analysis
• Strong understanding of domain-relevant properties and material/substance selection processes
• Proficiency in Python (Pandas, NumPy, Scikit-learn) or R
• Experience with SQL or NoSQL databases
• Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem)
• Experience with CAD software, multi-physics simulation tools, or LIMS is a plus
• Excellent communication, collaboration, and problem-solving skills
• Ability to work independently and as part of a global team

• communication
• collaboration
• problem-solving
• Python
• Pandas
• NumPy