×
Register Here to Apply for Jobs or Post Jobs. X

Senior Research Associate

Job in South San Francisco, San Mateo County, California, 94080, USA
Listing for: Belcan
Full Time position
Listed on 2026-09-05
Job specializations:
  • Research/Development
    Immunology Research
Salary/Wage Range or Industry Benchmark: 48 USD Hourly USD 48.00 HOUR
Job Description & How to Apply Below

Senior Research Associate

Location:

South San Francisco, CA Zip Code: 94080 Duration: 7 Months Pay Rate: $48/hr.

We provide a competitive pay and benefits package. This position is offering a pay range of $48/hr. however, Belcan considers several factors when extending an offer, including but not limited to education, experience, geographic location, and discipline. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.

Position Summary:

The Senior Research Associate will design, execute, and analyze experiments that support discovery and translational research programs in solid tumor biology and immuno-oncology. The successful candidate will work closely with scientists and cross-functional partners to generate high-quality data using organoid, tumoroid, primary sample, mammalian cell culture, and immune-cell-based assay systems.

This is a laboratory-based role requiring strong technical execution, careful experimental documentation, and the ability to troubleshoot complex biological systems. The ideal candidate is scientifically curious, collaborative, organized, and comfortable working in a fast-paced research environment.

Key Responsibilities:

  • Culture, maintain, expand, and characterize mammalian cell lines, organoids, tumoroids, and other advanced 2D/3D cellular models.
  • Perform molecular, cellular, and immunology-based assays to support oncology and immuno-oncology research programs.
  • Design and execute experiments using techniques such as qPCR, ELISA, Western blotting, imaging-based assays, viability/proliferation assays, cytokine assays, and other standard molecular biology and immunoassay workflows.
  • Support development and optimization of organoid/tumoroid assays using solid tumor models and, where applicable, patient-derived or primary samples.
  • Conduct immune-cell-based functional assays, including T cell activation, T cell killing, TDCC, ADCC, cytokine release, and related immuno-oncology assays.
  • Conduct flow cytometry experiments, including sample preparation, staining, acquisition, and analysis, where relevant to program needs.
  • Work with primary immune cells and/or tumor samples to evaluate immune-mediated anti-tumor activity.
  • Analyze, interpret, and present experimental results to project teams.
  • Troubleshoot experimental challenges and contribute ideas for assay improvement.

Required Qualifications:

  • Bachelor's degree in Biomedical Sciences, Immunology, Molecular Biology, Cell Biology, Cancer Biology, or a related discipline.
  • Minimum of 1-2 year of research experience in an academic or industry lab.
  • Hands-on experience with organoid culture or other advanced 3D cellular model systems.
  • Strong experience with mammalian cell culture, including sterile technique, cell maintenance, expansion, banking, and assay preparation.
  • Experience with T cell biology and immune-cell-based assay systems.
  • Working knowledge of current molecular, cellular, and immunology-based assays.
  • Experience with functional immunoassays such as TDCC, ADCC, T cell activation, immune-cell killing assays, cytokine release assays, or related workflows.
  • Ability to generate reliable, reproducible data and communicate results clearly.
  • Strong organizational skills and attention to detail.
  • Ability to work independently while contributing effectively to a collaborative team environment.

Preferred Qualifications:

  • Master's degree in Biomedical Sciences, Immunology, Molecular Biology, Cell Biology, Cancer Biology, or a related field.
  • Experience with flow cytometry, including staining panel execution, data acquisition, and analysis.
  • Experience working with primary human samples, patient-derived models, organoids, tumoroids, primary immune cells, or ex vivo tumor systems.
  • Experience in solid tumor biology, tumor microenvironment biology, cancer immunology, or translational oncology.
  • Experience developing, optimizing, or troubleshooting immune-cell-based functional assays in complex tumor or co-culture systems.
  • Familiarity with assay development, optimization, and troubleshooting in complex biological systems.
  • Experience with data analysis tools such as Graph Pad Prism, Flow Jo, Excel, or similar platforms.

Ideal Candidate Profile:
The ideal candidate is a rigorous experimentalist who enjoys hands-on lab work and takes ownership of generating high-quality data. They are comfortable working with complex cellular and immune-cell-based systems, including organoids, tumoroids, primary samples, and T cell functional assays. They can manage multiple experiments in parallel, troubleshoot challenging biology, and communicate clearly with scientific colleagues. They bring both technical depth and a collaborative mindset, with a strong interest in applying tumor biology and immunology to the development of new therapies for patients with cancer.

What Client Offers:
Client offers the opportunity to contribute to innovative science aimed at improving patients'…

Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary