Senior Field Application Scientist

The Jackson Laboratory

Completely RemoteFull TimeSales & Business Development
Posted Today

Job description

Responsibilities

  • Serve as the primary technical advisor and scientific support lead for the Envision™ computer vision and ML/AI platform.
  • Drive user adoption and independence through onboarding training, experimental design consultation, and data analysis support.
  • Coordinate and conduct on-site customer visits to ensure successful product implementation and hands-on training.
  • Provide expert-level technical troubleshooting for software products and contract services.
  • Collaborate with cross-functional teams to provide "voice of customer" feedback for future product enhancements.
  • Create and maintain technical documentation, including user manuals, application notes, and troubleshooting guides.

Requirements

  • PhD in Neuroscience, Biochemistry, Molecular Biology, Genetics, Engineering, or a related field.
  • 5+ years of relevant professional experience.
  • Expertise in in-vivo research techniques and proficiency in animal behavior or biology.
  • Prior experience with life science hardware and software solutions.
  • Experience supporting or selling capital equipment in the life sciences industry.
  • Ability to travel up to 50% to support customer visits in major life science hubs.
  • Strong verbal and written communication skills for high-impact presentations and technical writing.

About the Company

The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution dedicated to discovering precise genomic solutions for disease. With nearly 3,000 employees across the United States, Japan, and China, JAX applies decades of expertise in genetics to advance treatments and cures for cancer, neurological disorders, diabetes, and other complex diseases.

Skills & tools

Machine LearningComputer Vision

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01PhD in Neuroscience, Biochemistry, Molecular Biology, Genetics, or Engineering
  2. 025+ years of relevant experience
  3. 03Expertise in in-vivo research techniques
  4. 04Proficiency in animal behavior or biology
  5. 05Experience with life science hardware and software solutions
  6. 06Ability to travel up to 50%