How will you make an impact?
We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in knowledgebase management. The successful candidate will join a multi-functional team and help support the expansion and maintenance of an in-house biological knowledge database, with a focus on metabolic pathways, knowledge extraction, and structured knowledgebase development. The successful candidate will combine a strong cell biology foundation with bioinformatics and database skills and an understanding of upstream bioprocessing applications. Working in a collaborative environment, you'll contribute to innovative projects while supporting our mission of enabling customers to make the world healthier, cleaner, and safer.
What will you do?
- Expand, curate, and maintain an in-house biological knowledge database focused on metabolic pathways, cellular processes, and related biological features.
- Extract, evaluate, and organize biological knowledge from approved scientific, technical, and internal sources into structured knowledge assets.
- Analyze biological data and computational outputs to ensure biological relevance, accuracy, and consistency within the knowledge base.
- Collaborate with scientists, bioinformatics, and digital technology teams to support knowledge extraction, pathway interpretation, and upstream bioprocessing applications.
How will you get here?
Education
- Master’s Degree in Bioinformatics, Computational Biology, Systems Biology, Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related biological science field. PhD is preferred but not required.
Experience
- At least three (3) years of related experience
- Strong background in cell biology, molecular biology, biochemistry, or a related life science discipline, with an understanding of cellular metabolism and biological pathways.
- Experience working with biological databases, bioinformatics tools, biological data analysis, or scientific data management.
- Knowledge of upstream bioprocessing, including cell culture, fermentation, process development, media optimization, or biologics manufacturing workflows.
Knowledge, Skills, Abilities
- Hands-on experience with Python or other scripting languages for biological data processing, workflow automation, or data analysis.
- Experience with knowledge extraction, text mining, NLP, knowledge graphs, ontology-based data models, or biological network analysis.
- Present data for review, group discussions, and team meetings
- Multi-task effectively and prioritize multiple projects with guidance.
- Proven track record that could work efficiently both independently and as part of a team.
- Excellent verbal and written communication skills..
- Ability to work in a cross-functional and interdisciplinary team.
Preferred Qualifications
- Experience with metabolic pathway analysis and pathway resources such as KEGG, Reactome, MetaCyc, WikiPathways, UniProt, or Gene Ontology.
- Experience evaluating outputs from computational algorithms, machine learning models, knowledge graph systems, RAG, or LLM-based workflows
