Scientist III Bioinformatics, Knowledge Management

Thermo Fisher ScientificGrand Island, NY
$87,200 - $116,200Onsite

About The Position

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. 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.

Requirements

  • Master’s Degree in Bioinformatics, Computational Biology, Systems Biology, Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related biological science field.
  • 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.
  • 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.

Nice To Haves

  • PhD is preferred but not required.
  • 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.

Responsibilities

  • 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.

Benefits

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs
  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement
  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
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