Becton Dickinson

Becton Dickinson

Staff Scientist, Single-Cell Multiomics Product Development

USA CA - Milpitas 155, USA · Staff+ · Contract

Sponsorship not specified$136k-$217kDetected 106 days ago
Data AnalysisBioinformaticsMolecular BiologyResearchLab ResearchCommunicationCollaborationProblem SolvingPublic Speaking

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odds of building a lasting career here

56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

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About the role

  • Independently analyze and interpret single-cell genomics data and present results to cross-functional teams

Responsibilities

  • Lead assay development tasks to launch high-quality products for the BD Rhapsody™ platform, including feasibility studies, process and QC development, optimization, Verification & Validation, and tech transfer support
  • Drive the development work in collaboration with wet lab scientists, bioinformatics scientists, commercial and operational partners
  • Design and perform hands-on experiments to achieve development objectives
  • Compile analyses and develop protocols, technical notes, posters, and presentations showcasing Rhapsody platform performance
  • Provide scientific expertise to optimize current products and support the development of new product applications
  • Waters collaborates with analytical laboratories around the world to advance the release of effective, high-quality medicines, assure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combatting growing antibiotic resistance.

Requirements

  • Doctoral degree in molecular biology, biochemistry, biomedical sciences, or a related field
  • 8+ years of research experience, including 5+ years of industry experience in a related field
  • Extensive experience with RNA-seq and other next-generation sequencing techniques, including library preparation, sequencing, and data analysis
  • Experience with genomic assays using FFPE (formalin-fixed, paraffin-embedded) samples
  • Ability to work in a fast-paced, rapidly changing environment
  • FFPE sample handling expertise
  • Experience with assay/reagent product development
  • Experience with spatial genomics and/or proteomics
  • Experience with single-cell multiomics assays
  • Experience generating assays for biopharma/translational market
  • Strong written and verbal communication skills
  • Demonstrated ability to develop assay products, critically analyze data, and maintain excellent experimental records
  • Immunology background

Nice to have

  • Preferred Skills

Compensation

  • $135,500.00 - $216,800.00 USD Annual
  • Through a shared culture of relentless innovation, Waters' passionate team of approximately 16,000 colleagues partner with customers to turn scientific challenges into breakthroughs that improve lives worldwide.
  • It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities.

Benefits

  • Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service.
  • BD is one of the largest global medical technology companies in the world.
  • Advancing the world of health™ is our Purpose, and it's no small feat.

Company info

  • We are the people who give possibilities purpose BD is one of the largest global medical technology companies in the world.

Visa & Work Authorization

  • We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientatio

This listing is sourced directly from Becton Dickinson's careers page and normalized into a canonical job model.