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Scientist

Spectraforce Technologies
United States, California, South San Francisco
Apr 04, 2025
Job Title: Scientist

Location: South San Francisco, CA

Duration: 12 months

Description:

Key Responsibilities:

* Design and perform plate-based and cell-based assays (multi-color flow cytometry, Western blot, ELISA, etc.) to assess mRNA delivery and protein expression in mammalian cells using LNP systems.

* Design and perform high-throughput expression and functional screen/characterization assays for novel protein/mRNA candidates, using semi-automated instruments.

* Maintain meticulous records in an electronic lab notebook (ELN), draft standard operating procedures (SOPs), and present results at team meetings.

* Independently plan, execute, and interpret experiments, delivering data-driven insights aligned with project timelines and goals.

* Conduct molecular biology tasks, including cloning (e.g., PCR, golden gate, Gibson reactions, etc.), and optimize mRNA IVT protocols for yield and quality.

* Design, produce, and optimize lentiviral vectors, perform transduction experiments, and analyze results to advance research objectives.

* Stay current with advancements in genetic medicine, LNP technology, and molecular biology techniques to inform experimental design.

* Collaborate with antibody discovery/production teams to support pipeline projects and facilitate technology hand-offs.

Qualifications:

Master's degree in Cell Biology, Molecular Biology, Biological Sciences, or a related field with 1-3 years of industry experience, OR Bachelor's degree in a related field with 3+ years of industry experience.

Expertise in mammalian cell culture (suspension and adherent cell lines, primary T cells) and multi-color flow cytometry (panel design, acquisition, and analysis using FlowJo) is required; Hands-on experience with immunological assays (e.g., ELISA, Luminex, cytotoxicity) is highly desirable.

Experience with semi-automated liquid handling systems (e.g., Integra VIAFLO) for high-throughput workflows is highly preferred.

Familiarity with data analysis tools (e.g., GraphPad Prism, FlowJo) is required; working knowledge with statistical and bioinformatics tools (python, R, etc.) is a plus.

Basic understanding of immunology, cancer biology, or cell therapy applications is preferred; Prior experience in genetic medicine, CAR-T cell therapy, or RNA therapeutics is a strong plus.

Basic knowledge of nucleic acid characterization (e.g., gel electrophoresis, qPCR), familiarity with molecular biology techniques, including cloning (e.g., Gibson assembly, PCR) and mRNA IVT (e.g., capping, purification), is a strong plus.

Strong organizational and time-management skills with a proven ability to juggle multiple projects.

Demonstrated ability to troubleshoot assays and optimize protocols independently.

Excellent verbal and written communication skills for presenting data and collaborating with cross-functional teams.

Willingness to take responsibilities outside of original job description.
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