Senior Associate Scientist, Antibody Discovery (B Cells)

Spectraforce Technologies; Cambridge (MA); On-site; USD 90,000 - 120,000; Full time

Job summary

Spectraforce Technologies in Cambridge, MA is seeking a Senior Associate Scientist to support antibody discovery projects in Biomedicine Design. This role focuses on B cell-based workflows and hybridoma screening to advance therapeutic antibody discovery campaigns.

The successful candidate will perform rodent immunization strategies, serum titer screening, flow cytometry, VH/VL cloning, and library generation while contributing to technology evaluation and collaboration with team members.

Qualifications

• Bachelor's degree in biology or related field with 2+ years laboratory experience.
• Hands-on antibody discovery experience preferred.
• Strong documentation and data organization skills.
• Effective communication of experimental results to project teams.

Responsibilities

• Provide laboratory support for antibody discovery campaigns using flow cytometry and hybridoma-based methods.
• Execute workflows for rodent immunization studies, serum titer screening, B cell sorting, and cloning.
• Maintain reagent inventories and ensure readiness for discovery activities.
• Document procedures and results in laboratory records and data systems.
• Summarize data and communicate progress to project teams.

Skills

Flow cytometry

B cell methods

Hybridoma screening

Molecular cloning

Immune library generation

Laboratory documentation

Data communication

Education

Bachelor's degree in biology/immunology/biochemistry

Tools

Flow cytometer

PCR

Cloning

Immune library generation

Hybridoma culture

Job description

Spectraforce Technologies in Cambridge, MA is seeking a Senior Associate Scientist to support antibody discovery projects in Biomedicine Design. This role focuses on B cell-based workflows and hybridoma screening to advance therapeutic antibody discovery campaigns.

The successful candidate will perform rodent immunization strategies, serum titer screening, flow cytometry, VH/VL cloning, and library generation while contributing to technology evaluation and collaboration with team members.