Tap Growth AI
Contract Associate Scientist – Genomics for iPSC and T Cell Engineer
Tap Growth AI, San Francisco, California, United States, 94199
We’re Hiring: Contract Associate Scientist — Genomics for iPSC and T Cell Engineer!
We are seeking a talented Associate Scientist to join our genomics team, focusing on induced pluripotent stem cells (iPSC) and T cell engineering. The ideal candidate will contribute to cutting‑edge research and development in cellular reprogramming and immunotherapy applications.
Location:
South San Francisco, United States
Work Mode:
Work From Office
Role:
Contract Associate Scientist — Genomics for iPSC and T Cell Engineer
Pay Scale:
$49, 316.80 to $97, 635.20 (Dependent on Experience)
What You’ll Do:
Perform genomics‑based experiments, including but not limited to qPCR, ddPCR, NGS amplicon sequencing, RNA‑seq, and ATAC‑seq to characterize genome engineering method development in iPSCs and T cells.
Operate, maintain, and troubleshoot laboratory equipment related to genomics workflows, including sequencers and automated liquid handling systems.
Generate high‑quality data by following established protocols, ensuring accuracy, reproducibility, and reliable documentation.
Maintain organization of samples, reagents, and data in electronic laboratory notebooks (ELNs) and shared databases.
Analyze and interpret experimental data, summarize findings, and present results to internal stakeholders.
Proactively engage in troubleshooting experimental issues and contribute innovative ideas for improving workflow efficiency and protocols.
What We’re Looking For:
Bachelor’s (BS) or Master’s (MS) degree in Molecular Biology, Genomics, Biotechnology, or a related discipline.
Demonstrated proficiency in molecular and genomic techniques such as RNA extraction, PCR, qPCR, and NGS library preparation.
Familiarity with genome editing tools like CRISPR/Cas9.
Basic understanding of stem cell biology and T cell biology.
Strong attention to detail, with excellent organizational and communication skills.
Ability to work both independently and collaboratively in a fast‑paced, team‑oriented environment.
Preferred Qualifications
Experience with ONP sequencing platforms.
Experience with computational tools for data analysis (e.g., Python/R, IGV, etc.).
Previous experience in an industrial or biotechnology setting.
Ready to advance cellular therapeutics?
Apply now and join our innovative team!
#J-18808-Ljbffr
Location:
South San Francisco, United States
Work Mode:
Work From Office
Role:
Contract Associate Scientist — Genomics for iPSC and T Cell Engineer
Pay Scale:
$49, 316.80 to $97, 635.20 (Dependent on Experience)
What You’ll Do:
Perform genomics‑based experiments, including but not limited to qPCR, ddPCR, NGS amplicon sequencing, RNA‑seq, and ATAC‑seq to characterize genome engineering method development in iPSCs and T cells.
Operate, maintain, and troubleshoot laboratory equipment related to genomics workflows, including sequencers and automated liquid handling systems.
Generate high‑quality data by following established protocols, ensuring accuracy, reproducibility, and reliable documentation.
Maintain organization of samples, reagents, and data in electronic laboratory notebooks (ELNs) and shared databases.
Analyze and interpret experimental data, summarize findings, and present results to internal stakeholders.
Proactively engage in troubleshooting experimental issues and contribute innovative ideas for improving workflow efficiency and protocols.
What We’re Looking For:
Bachelor’s (BS) or Master’s (MS) degree in Molecular Biology, Genomics, Biotechnology, or a related discipline.
Demonstrated proficiency in molecular and genomic techniques such as RNA extraction, PCR, qPCR, and NGS library preparation.
Familiarity with genome editing tools like CRISPR/Cas9.
Basic understanding of stem cell biology and T cell biology.
Strong attention to detail, with excellent organizational and communication skills.
Ability to work both independently and collaboratively in a fast‑paced, team‑oriented environment.
Preferred Qualifications
Experience with ONP sequencing platforms.
Experience with computational tools for data analysis (e.g., Python/R, IGV, etc.).
Previous experience in an industrial or biotechnology setting.
Ready to advance cellular therapeutics?
Apply now and join our innovative team!
#J-18808-Ljbffr