Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Animal Health, BiotechnologyIndustries
Requirements
Strong aseptic technique and hands-on mammalian cell culture
Comfort with bench/mid-scale bioreactors
Familiarity with chromatography and filtration modalities
Reliability and trustworthiness: execute consistently and relay detailed information accurately
Organization and coordination: keep many moving parts aligned and close loops proactively
Familiarity with ELN/LIMS and lab coordination tools; Excel/Sheets fluency; interest in simple automation
Awareness of cGxP in R&D settings; exposure to tech transfer helpful
Curiosity about connected labs: networked instruments, basic data architecture concepts, and data integrity
BS in Biochemistry, Molecular/Cell Biology, Biotechnology, Chemical/Biochemical/Biomedical Engineering or related field + 0 years with strong internship/co-op/academic lab experience to 4+ years industry experience
Or MS in related field + 0 to 2+ years industry experience
Responsibilities
Support material generations: maintain cell cultures; operate and sample bioreactors; assist with harvest, purification, and polishing
Execute targeted bioprocess studies: support lead scientists by running small-scale experiments, sensor/PAT evaluations, basic assay development, and troubleshooting with guidance
Make labs run reliably: manage inventory and scheduling; perform safety checks and calibrations; keep documentation clear and current
Ready equipment: track status and PMs, troubleshoot issues, and ensure instruments and materials are fit-for-use; maintain visible status labels/logs and communicate updates promptly
Document with rigor: complete batch records and ELN entries, update SOPs, and provide concise, action-oriented updates that build trust
Coordinate shared resources and schedules: reconcile equipment availability with experiment plans; flag conflicts early; keep teams aligned with clear, visible schedules
Build modern tools: stand up simple trackers, dashboards, and templates that improve schedule clarity, reduce stockouts, and increase visibility
Contribute to digital/data practices: help connect instruments, improve data capture at the source, and partner on basic data flows
Collaborate closely with supervising/lead scientists to align priorities, receive mentorship, and ensure high-quality execution