Arc Institute
Scientist (Screening), Functional Genomics
Arc Institute, Palo Alto, California, United States, 94306
Overview
The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Arc is headquartered in Palo Alto, California, and operates in partnership with Stanford University, UCSF, and UC Berkeley. Arc funds core research programs, develops and deploys advanced technologies, and supports scientists pursuing long-term high-risk, high-reward research in areas including neurodegeneration, cancer, and immune dysfunction. Arc has scaled to nearly 200 people, with $650M+ in committed funding and a new lab facility in Palo Alto. Position
We are seeking a highly skilled Scientist with a strong background in functional genomics and single-cell sequencing to join the Functional Genomics team inside the Genome Engineering Technology Center at Arc Institute. This role involves applying cutting-edge functional genomics approaches for high-throughput interrogation of mammalian genomes, transcriptomes, and epigenomes with rich multi-omic readouts. You will contribute to the Virtual Cell Initiative, which aims to create a foundational model predicting cellular states and responses to intervention. You will collaborate with Scientists, Research Associates, Core Investigator labs, and teams across Arc’s Technology Centers and Core Investigator labs that contribute to genome engineering and functional genomics screens (e.g., CRISPR nucleases, CRISPRi, CRISPRoff, CRISPRa, and serine or bridge recombinases). The successful candidate will independently optimize functional genomics screening workflows in diverse cellular contexts, collaborate to develop and integrate new technologies, and execute large-scale CRISPR screens with single-cell readouts across diverse cell types, predominantly stem cells and other differentiated cell types. You will cross-functionally collaborate with other Arc Tech Centers to push scientific discovery and Arc’s overarching goals. Responsibilities
Independently execute large in vitro perturbation screens in diverse cell types, generate high-quality single-cell perturbation datasets, and collaborate to analyze and interpret research findings. Collaborate with interdisciplinary teams to optimize functional genomics platforms and CRISPR technologies. Work with computational and machine learning teams to devise strategies for training and evaluating applications of an AI-based virtual cell model. Use project management systems to track progress, adhere to timelines, and document experimental data in ELN/LIMS. Collaborate with Core Investigators on ad hoc early research projects and with other Technology Centers to advance the Virtual Cell Atlas and Alzheimer’s Disease Initiatives. Stay updated on functional genomics and single-cell omics advances by reading literature and attending key conferences. Present key findings at internal meetings, seminars, and external conferences. About you
You are passionate about science and excited about questions related to cellular identity, immunology, neurobiology, and complex human diseases. You embrace challenges and develop creative solutions to optimize tools and approaches. You are committed to generating high-quality data and maintaining good documentation practices. You enjoy collaborating in a fast-paced, dynamic environment and are diligent, detail-oriented, and good at troubleshooting. You excel at organization, time management, and juggling multiple projects. Requirements
PhD in Cell Biology, Molecular Biology, Medicine, Genomics, or a related field. Post-PhD experience is a plus. Deep experience with CRISPR-Cas9 or other genome editing/perturbation techniques in high-throughput formats (e.g., pooled or large arrayed screens). Experience in mammalian cell culture, including primary cells or difficult cell models; stem cells and differentiated cell types are a strong plus. Hands-on experience with downstream genomics protocols, especially scRNA-seq. Experience with project management tools, ELN, and LIMS (e.g., Asana, Benchling). Ability to work independently and in a highly collaborative multidisciplinary environment. Strong project management skills with the ability to plan, execute, and deliver results on time. Excellent written and verbal communication skills. Preferred Qualifications
Experience with stem cells (e.g., ESC, iPSC) and stem cell-derived cell types. Experience designing and cloning large pooled CRISPR sgRNA libraries. Experience in multi-color flow cytometry and FACS-based sorting. Ability to analyze large and complex data sets using Python, R, or similar tools. Experience in molecular biology and/or protein engineering. Compensation
The base salary range is $121,250 to $150,000. The actual base compensation depends on experience, market conditions, education/training, skill level, and internal equity. The position is eligible for an annual discretionary bonus based on individual and institutional performance factors. Apply for this job
First Name * Last Name * Email * Phone Country Resume/CV * 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? * Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the voluntary self-identification survey. Completion is voluntary and confidential. It will not be considered in hiring decisions. See Arc Institute’s Equal Employment Opportunity policy for details. Disability self-identification information is collected under applicable law. It is confidential and separate from the application. PUBLIC BURDEN STATEMENT: This survey should take about 5 minutes to complete. This is a federal government data collection. For more information, visit the OFCCP website.
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The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Arc is headquartered in Palo Alto, California, and operates in partnership with Stanford University, UCSF, and UC Berkeley. Arc funds core research programs, develops and deploys advanced technologies, and supports scientists pursuing long-term high-risk, high-reward research in areas including neurodegeneration, cancer, and immune dysfunction. Arc has scaled to nearly 200 people, with $650M+ in committed funding and a new lab facility in Palo Alto. Position
We are seeking a highly skilled Scientist with a strong background in functional genomics and single-cell sequencing to join the Functional Genomics team inside the Genome Engineering Technology Center at Arc Institute. This role involves applying cutting-edge functional genomics approaches for high-throughput interrogation of mammalian genomes, transcriptomes, and epigenomes with rich multi-omic readouts. You will contribute to the Virtual Cell Initiative, which aims to create a foundational model predicting cellular states and responses to intervention. You will collaborate with Scientists, Research Associates, Core Investigator labs, and teams across Arc’s Technology Centers and Core Investigator labs that contribute to genome engineering and functional genomics screens (e.g., CRISPR nucleases, CRISPRi, CRISPRoff, CRISPRa, and serine or bridge recombinases). The successful candidate will independently optimize functional genomics screening workflows in diverse cellular contexts, collaborate to develop and integrate new technologies, and execute large-scale CRISPR screens with single-cell readouts across diverse cell types, predominantly stem cells and other differentiated cell types. You will cross-functionally collaborate with other Arc Tech Centers to push scientific discovery and Arc’s overarching goals. Responsibilities
Independently execute large in vitro perturbation screens in diverse cell types, generate high-quality single-cell perturbation datasets, and collaborate to analyze and interpret research findings. Collaborate with interdisciplinary teams to optimize functional genomics platforms and CRISPR technologies. Work with computational and machine learning teams to devise strategies for training and evaluating applications of an AI-based virtual cell model. Use project management systems to track progress, adhere to timelines, and document experimental data in ELN/LIMS. Collaborate with Core Investigators on ad hoc early research projects and with other Technology Centers to advance the Virtual Cell Atlas and Alzheimer’s Disease Initiatives. Stay updated on functional genomics and single-cell omics advances by reading literature and attending key conferences. Present key findings at internal meetings, seminars, and external conferences. About you
You are passionate about science and excited about questions related to cellular identity, immunology, neurobiology, and complex human diseases. You embrace challenges and develop creative solutions to optimize tools and approaches. You are committed to generating high-quality data and maintaining good documentation practices. You enjoy collaborating in a fast-paced, dynamic environment and are diligent, detail-oriented, and good at troubleshooting. You excel at organization, time management, and juggling multiple projects. Requirements
PhD in Cell Biology, Molecular Biology, Medicine, Genomics, or a related field. Post-PhD experience is a plus. Deep experience with CRISPR-Cas9 or other genome editing/perturbation techniques in high-throughput formats (e.g., pooled or large arrayed screens). Experience in mammalian cell culture, including primary cells or difficult cell models; stem cells and differentiated cell types are a strong plus. Hands-on experience with downstream genomics protocols, especially scRNA-seq. Experience with project management tools, ELN, and LIMS (e.g., Asana, Benchling). Ability to work independently and in a highly collaborative multidisciplinary environment. Strong project management skills with the ability to plan, execute, and deliver results on time. Excellent written and verbal communication skills. Preferred Qualifications
Experience with stem cells (e.g., ESC, iPSC) and stem cell-derived cell types. Experience designing and cloning large pooled CRISPR sgRNA libraries. Experience in multi-color flow cytometry and FACS-based sorting. Ability to analyze large and complex data sets using Python, R, or similar tools. Experience in molecular biology and/or protein engineering. Compensation
The base salary range is $121,250 to $150,000. The actual base compensation depends on experience, market conditions, education/training, skill level, and internal equity. The position is eligible for an annual discretionary bonus based on individual and institutional performance factors. Apply for this job
First Name * Last Name * Email * Phone Country Resume/CV * 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? * Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the voluntary self-identification survey. Completion is voluntary and confidential. It will not be considered in hiring decisions. See Arc Institute’s Equal Employment Opportunity policy for details. Disability self-identification information is collected under applicable law. It is confidential and separate from the application. PUBLIC BURDEN STATEMENT: This survey should take about 5 minutes to complete. This is a federal government data collection. For more information, visit the OFCCP website.
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