Arcinstitute
Scientist, Virtual Cell Initiative - T Cell Screening
Arcinstitute, Palo Alto, California, United States, 94306
Overview
Scientist, Virtual Cell Initiative - T Cell Screening The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley. Arc provides funding, technology development, support, and a culture focused on scientific curiosity, truth, collaboration and long-term high-impact research. Arc has scaled to nearly 200 people with $650M+ in committed funding and a state-of-the-art new lab facility in Palo Alto. About the position
We are seeking a highly motivated and independent immunologist and cell engineer with leading contributions in (CAR) T cell screening. The successful candidate will join Paul Datlinger’s team within the Genome Engineering Technology Center at Arc, and will lead primary T cell screening for Arc’s Virtual Cell Initiative. You will help create the first foundational model that makes accurate predictions of cellular states, and apply it to cancer immunotherapy. You will join a team with a track record of foundational contributions in the field, including early studies of mammalian CRISPR genome engineering, single-cell CRISPR screens, T cell screening, and DNA foundation modeling. You will design and execute pioneering synthetic biology screens in collaboration with Arc’s AI and computational biology researchers, and invent novel technologies for non-invasive, real-time functional genomics. This is a unique opportunity to contribute at the intersection of biology and machine learning. If you’re ready to shape the Virtual Cell Initiative and its application to T cell immunotherapies, you are invited to apply. We encourage both academic and industry scientists to apply, as this role involves innovative technology development and industry-scale cell engineering and single-cell profiling. About you
You are passionate about T cell screening, cellular immunotherapies, and synthetic biology You are innovative and follow the latest industry trends and clinical studies for cancer immunotherapies You are driven by disruptive technology development and are excited to build a virtual cell model and explore its applications for T cell immunotherapy You possess a deep and intuitive understanding of cancer immunology and T cell biology You’re ready to lead a highly visible, multi-disciplinary project and can effectively translate between cell engineers, biotechnologists and AI scientists You are an engaging speaker and enjoy sharing new data through publications and at international conferences In this position you will
Devise and evaluate applications of AI virtual cells for cancer immunotherapy Invent methods for live genomics, where T cells report genetic perturbations, immune receptors, and transcripts in real time Perform in vivo screens in mouse T cell immunotherapy models Run single-cell screens in primary human T cells for Arc’s Virtual Cell Initiative Closely collaborate with Arc’s AI team on model architectures, and iterate quickly between data production & model training Support pooled optical screens in primary T cells in vitro and in tissues Develop scalable and automated T cell engineering workflows using flow electroporators and bioreactors Requirements
PhD in Molecular Biology, Medicine, Genomics, or a similar field. Post-PhD experience is a plus Extensive experience with mouse immunotherapy models T-cell phenotyping in functional assays Extensive experience with flow cytometry and cell sorting, including the design of custom panels for T cell phenotypes Extensive experience with T cell isolation, culture, transduction, electroporation Experience working in a cutting-edge T cell immunotherapy setting, such as a renowned academic lab or innovative company, documented through publications, preprints or patents Experience with CRISPR systems, in particular for CRISPR screening (knock-out, knock-down, knock-in, ORFs, base editing, prime editing, CRISPRoff) Deep knowledge of T cell and cancer biology and the clinical limitations of cellular therapies Preferred Qualifications
Ability to design and analyze CRISPR screens and single-cell experiments with R or Python is a strong plus Experience with in vivo CRISPR screens is a strong plus Experience with single-cell profiling or perturbation screening is a strong plus Experience with mouse T cell engineering is a plus The base salary range for this position is $121,250 to $150,000. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and internal equity. This position is eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors. Apply for this job
indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Are you currently authorized to work in the US? * Will you now, or in the future, require employer visa sponsorship (e.g., H-1B)? * Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary and will be kept confidential. It will not be considered in the hiring process. Arc Institute is an equal opportunity employer and does not discriminate on the basis of protected status. The VEVRRAA and OFCCP disclosures follow federal requirements and are included for compliance purposes. Public disclosure: This information is collected to monitor diversity and inclusion and is not part of the hiring decision.
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Scientist, Virtual Cell Initiative - T Cell Screening The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley. Arc provides funding, technology development, support, and a culture focused on scientific curiosity, truth, collaboration and long-term high-impact research. Arc has scaled to nearly 200 people with $650M+ in committed funding and a state-of-the-art new lab facility in Palo Alto. About the position
We are seeking a highly motivated and independent immunologist and cell engineer with leading contributions in (CAR) T cell screening. The successful candidate will join Paul Datlinger’s team within the Genome Engineering Technology Center at Arc, and will lead primary T cell screening for Arc’s Virtual Cell Initiative. You will help create the first foundational model that makes accurate predictions of cellular states, and apply it to cancer immunotherapy. You will join a team with a track record of foundational contributions in the field, including early studies of mammalian CRISPR genome engineering, single-cell CRISPR screens, T cell screening, and DNA foundation modeling. You will design and execute pioneering synthetic biology screens in collaboration with Arc’s AI and computational biology researchers, and invent novel technologies for non-invasive, real-time functional genomics. This is a unique opportunity to contribute at the intersection of biology and machine learning. If you’re ready to shape the Virtual Cell Initiative and its application to T cell immunotherapies, you are invited to apply. We encourage both academic and industry scientists to apply, as this role involves innovative technology development and industry-scale cell engineering and single-cell profiling. About you
You are passionate about T cell screening, cellular immunotherapies, and synthetic biology You are innovative and follow the latest industry trends and clinical studies for cancer immunotherapies You are driven by disruptive technology development and are excited to build a virtual cell model and explore its applications for T cell immunotherapy You possess a deep and intuitive understanding of cancer immunology and T cell biology You’re ready to lead a highly visible, multi-disciplinary project and can effectively translate between cell engineers, biotechnologists and AI scientists You are an engaging speaker and enjoy sharing new data through publications and at international conferences In this position you will
Devise and evaluate applications of AI virtual cells for cancer immunotherapy Invent methods for live genomics, where T cells report genetic perturbations, immune receptors, and transcripts in real time Perform in vivo screens in mouse T cell immunotherapy models Run single-cell screens in primary human T cells for Arc’s Virtual Cell Initiative Closely collaborate with Arc’s AI team on model architectures, and iterate quickly between data production & model training Support pooled optical screens in primary T cells in vitro and in tissues Develop scalable and automated T cell engineering workflows using flow electroporators and bioreactors Requirements
PhD in Molecular Biology, Medicine, Genomics, or a similar field. Post-PhD experience is a plus Extensive experience with mouse immunotherapy models T-cell phenotyping in functional assays Extensive experience with flow cytometry and cell sorting, including the design of custom panels for T cell phenotypes Extensive experience with T cell isolation, culture, transduction, electroporation Experience working in a cutting-edge T cell immunotherapy setting, such as a renowned academic lab or innovative company, documented through publications, preprints or patents Experience with CRISPR systems, in particular for CRISPR screening (knock-out, knock-down, knock-in, ORFs, base editing, prime editing, CRISPRoff) Deep knowledge of T cell and cancer biology and the clinical limitations of cellular therapies Preferred Qualifications
Ability to design and analyze CRISPR screens and single-cell experiments with R or Python is a strong plus Experience with in vivo CRISPR screens is a strong plus Experience with single-cell profiling or perturbation screening is a strong plus Experience with mouse T cell engineering is a plus The base salary range for this position is $121,250 to $150,000. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and internal equity. This position is eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors. Apply for this job
indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Are you currently authorized to work in the US? * Will you now, or in the future, require employer visa sponsorship (e.g., H-1B)? * Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is voluntary and will be kept confidential. It will not be considered in the hiring process. Arc Institute is an equal opportunity employer and does not discriminate on the basis of protected status. The VEVRRAA and OFCCP disclosures follow federal requirements and are included for compliance purposes. Public disclosure: This information is collected to monitor diversity and inclusion and is not part of the hiring decision.
#J-18808-Ljbffr