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What are CRISPR screens?

CRISPR screens are high-throughput experiments that use the CRISPR-Cas9 gene-editing technology to systematically knock out, activate, or repress genes across the genome in order to identify their functions in a particular biological process or phenotype. These screens can be performed in cell cultures or organisms to discover genes involved in disease, drug resistance, or other cellular responses. Researchers use libraries of guide RNAs to target many genes simultaneously, enabling large-scale functional genomics studies. CRISPR screens have revolutionized the way scientists investigate gene function and develop new therapeutic targets.

What are the key skills and qualifications needed to thrive as a CRISPR Screen Scientist, and why are they important?

To thrive as a CRISPR Screen Scientist, you need a strong background in molecular biology, genetics, and cell culture, typically supported by an advanced degree in a life science field. Familiarity with CRISPR-Cas9 technology, next-generation sequencing (NGS), and bioinformatics analysis tools is essential for designing and interpreting genetic screens. Excellent problem-solving skills, attention to detail, and effective collaboration are crucial soft skills in this research-intensive role. These competencies ensure accurate experimental design, reliable data generation, and successful teamwork in advancing gene-editing research.

What are some common challenges faced when conducting a CRISPR screen in a research or lab setting?

One common challenge in a CRISPR screen role is ensuring the accuracy and efficiency of gene editing, as off-target effects and incomplete knockout can impact experimental results. Managing large datasets and troubleshooting technical issues with lentiviral delivery or sgRNA library design are also frequent hurdles. Additionally, collaborating effectively with bioinformaticians and other scientists is essential, as interpreting screening data often requires a multidisciplinary approach. Staying current with rapidly evolving CRISPR technologies and best practices is key to success in this role.
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Infographic showing various Crispr Screen job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.

Senior Research Associate, Functional Genomics

Arc Institute

Palo Alto, CA โ€ข On-site

Full-time

Posted 10 days ago

Job description

About Arc Institute
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Our two Institute Initiatives reflect this model in action:
  • Virtual Cell Initiative: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.
  • Alzheimer's Disease Initiative: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.

More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
About the position
We are seeking a highly skilled and motivated Senior Research Associate to join the Functional Genomics team inside the Genome Engineering Technology Center at the Arc Institute. This position will directly support our efforts of high-throughput interrogation of mammalian genomes, transcriptomes, and epigenomes with rich multi-omic readouts. You will play a critical role in the Virtual Cell Initiative, which aims to create the first foundational model that makes accurate predictions of cellular states and their response to intervention. You will also have the opportunity to partner closely with pioneering labs that have developed the fundamental toolbox for genome engineering and functional genomics screens, such as CRISPR nucleases, CRISPRi, CRISPRoff, CRISPRa, and serine or bridge recombinases.
The ideal candidate will have hands-on experience and proficient skills in mammalian cell culture, functional genomic screens, and NGS library preparation, and familiarity with various other cellular and molecular techniques. They must also demonstrate the ability to independently execute and troubleshoot complex workflows and protocols with an outstanding attention to detail. This is an excellent opportunity for a highly motivated and curious researcher interested in leveraging cutting-edge functional genomic technologies to drive innovative scientific discoveries.
About you
  • You are highly motivated and passionate about applying cutting-edge functional genomics techniques to enable scientific discoveries.
  • You are diligent, detail oriented, adaptable, and excel at troubleshooting.
  • You are committed to generating high quality data and maintaining good documentation practices.
  • You enjoy working collaboratively with others and thrive in a fast-paced, dynamic work environment.
  • You respect the process and are comfortable carrying out the routine execution of tasks while identifying opportunities to troubleshoot and address bottlenecks.

In this position you will
  • Conduct routine mammalian cell culture, including cell line banking, expansion, and manipulation.
  • Contribute to the end-to-end execution of large scale in vitro perturbation screens and downstream sample preparation for NGS.
  • Participate in other research efforts related to cellular model, technology and assay development.
  • Execute tasks and experiments with a focus on efficiency and reproducibility, following already established SOPs and ensuring accurate and reliable record keeping and documentation in our ELN and LIMS system.
  • Analyze and present data at internal meetings and seminars.
  • Collaborate cross-functionally with other Tech Center teams at Arc.
  • Contribute to lab organization and maintenance, including rotating in regular cleaning schedules and inventory management of supplies and reagents.

Requirements
  • BS degree in relevant field with 4+ years of relevant experience, or MS degree in relevant field with 2+ years of relevant postgraduate experience. Industry experience is desirable but not required.
  • Proficiency in mammalian cell culture procedures and associated aseptic techniques, including direct experience working with stem cells and differentiation workflows (neuron and microglia preferred).
  • Hands-on experience executing high throughput CRISPR screens. Prior experience with pooled CRISPR screens is strongly preferred.
  • Experienced with different NGS library preparation workflows (e.g. amplicon, bulk and single cell).
  • Experience and knowledge of various cellular, molecular and biochemical techniques such as viral production, flow cytometry, and qPCR.
  • Attention to details with the ability to deliver high quality work in a consistent manner.
  • The ability to independently execute experiments involving complex workflows, and troubleshoot technical problems.
  • The ability to be flexible and adaptable in a work environment.
  • Excellent organizational and time management skills.
  • Flexibility to work some weekends as needed.

Preferred Qualifications
  • Neuroscience background, particularly experience with electrophysiology and/or molecular neuroscience techniques.
  • Prior experience with single-cell RNA sequencing. Experience with 10x Flex is a plus.
  • Multi-color flow cytometry and FACS sorting.
  • Adept at molecular cloning. Prior experience with large pooled plasmid library construction is a plus.
  • Experience with LIMS systems, ideally Benchling.
  • Adept at data analysis in an independent manner.

The base salary range for this position is $92,500-$114,250. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. 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 whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.

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