Product Application Scientist
Alamar Biosciences
- Pay
- $120K to $140K
- a year
- Location
- Fremont, CA
- Job type
- Full time
- Posted
- Oct 30
- 2 days ago
Career path
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About the company
Alamar Biosciences
Biotechnology · 51 to 200 employees
At Alamar, we are passionate about enabling our customers to make scientific discoveries that translate into clinical outcomes and benefit patients. Our team is growing quickly as we develop innovative approaches to measure critical protein biomarkers from liquid samples that can enable the earliest possible detection of disease. We believe the next frontier in biology is enabled by measuring proteins at higher sensitivity in highly multiplexed assays at the push of a button, which is something only Alamar can do. As we build our team, we seek collaborative, driven, intellectually curious people committed to solving complex challenges. Our culture rewards accountability and cross functional teamwork because we believe this enables the kind of breakthrough thinking that will accelerate our mission.
What you'll do
- Serve as an internal scientific expert for custom assay development projects
- Provide technical guidance and troubleshooting support to customers and internal stakeholders
- Respond to customer inquiries and technical escalations
- Support data interpretation, experimental design, and troubleshooting discussions
- Develop training materials, SOPs, workflow guides, and technical content
- Coordinate method transfer activities, including reagent preparation and equivalency testing
- Design, execute, and troubleshoot immunoassay experiments
- Support development of workplans and Statements of Work for custom assay projects
What you need
- PhD or MS in Immunology, Molecular Biology, Biochemistry, Bioengineering, or related life sciences field
- 2+ years of experience in immunoassay development, bioanalytical sciences, or technical applications support
- Hands-on experience with ELISA, bead-based assays, or digital immunoassays
- Experience troubleshooting complex assay workflows and interpreting experimental data
- Strong scientific communication and presentation skills
- Ability to collaborate across multidisciplinary teams in a fast-paced environment
Key skills
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