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 Lab Operations Assistant to join the Scientific Operations team at Arc for an initial period of 6 months, with the opportunity to convert to a full-time employee role based on our assessment at the end of that period of our continued business needs and your performance.

The Lab Operations Assistant is dedicated to providing exceptional support to Arc’s research labs. Responsibilities include media preparation and media QC, ordering and restocking consumables and other laboratory materials, glassware preparation, and other ad hoc tasks. This is primarily a manual labor role; the majority of your time will be spent on hands-on, physical tasks. Comfort with and commitment to physical work is essential.

About you

• You are a self-starter with strategic vision, a hands-on approach, and a strong belief in safe lab practices
• You anticipate needs and deliver results independently with minimal supervision
• You are able to evaluate and triage competing priorities in order to maintain a nimble, effective approach to daily operations
• You have a passion for problem solving 
• You have a deep understanding of customer service and a customer-first mindset
• You are highly dependable, with a strong sense of responsibility and commitment to your work.

In this position you will

• Perform media preparation and media QC
• Order and restock consumables and other laboratory materials
• Clean, sterilize, prepare, and distribute glassware, ensuring appropriate levels of glassware inventory in all areas of operations
• Assist with management of launderable lab coats, scrubs, and towels
• Assist with basic equipment maintenance, moving, and installation
• Assist with gas management, including CO2, LN2, and dry ice
• Serve as a backup for shipping/receiving and chemical inventory management
• Adhere to safety guidelines and procedures, ensuring safety is the highest priority
• Demonstrate clear, concise and effective communication with lab members and team to ensure a high level of service.
• Work with the Lab Operations Manager and Lead to prioritize tasks and assignments, providing recommendations to maximize efficiency and productivity
• Independently handle operational processes or projects and proactively identify opportunities for improvement
• Participate in process improvement initiatives
• Author or revise Internal Procedures or Standard Operating Procedures as applicable

Requirements

• 0-1 years prior laboratory operations experience
• Minimum education level: BS degree in biological sciences
• Must be able to multi-task and prioritize tasks
• Must have the ability to lift 50 pounds and occasionally move heavy equipment 
• Should possess strong attention to detail with critical analytical skills 
• Should be resourceful and possess good organization skills
• Should possess the ability to independently solve problems and troubleshoot while performing work
• Must be proactive and able to self-initiate
• Should possess effective communication skills
• Should demonstrate proficiency with Microsoft Office Suite and other general use software applications
• Prolonged periods standing and walking throughout facilities
• Must be able to bend, lift, stretch, and climb at times

The hourly rate range for this position is $25 - $31 per hour. These amounts reflect the range that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual 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.

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 searching for an exceptional scientific leader to establish a new team within Arc Institute’s Computational Technology Center, serving as the Director, Machine Learning for our Alzheimer's Disease Initiative (ADI). 

This ambitious initiative spans Arc's Technology Centers and Core Investigator Laboratories and focuses on high-throughput interrogation of neurodegeneration and Alzheimer's disease mechanisms using advanced gene editing and functional genomics approaches. As the Machine Learning Research Lead, ADI, you will spearhead development of sophisticated machine learning foundation models to capture cell states and infer gene regulatory networks and causal relationships to predict therapeutic interventions.

This position offers the rare opportunity to build and lead a world-class team while making direct contributions to understanding and potentially treating Alzheimer's disease through state-of-the-art computational biology and machine learning approaches.

About You

• You are passionate about machine learning and computational biology, with expertise in applying cutting edge ML approaches to biological systems
• You excel at developing interpretable machine learning approaches, such as variational inference and causal modeling methods
• You are excited about building and leading a technical team while remaining hands-on with foundation model development and implementation. 
• You thrive in collaborative, multidisciplinary environments and enjoy working with both computational scientists and wet lab biologists
• You are a continuous learner who stays current with the latest developments, in both machine learning and neuroscience

In This Position, You Will

• Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease
• Develop and execute on a roadmap of interpretable machine learning approaches to understand disease mechanisms, with emphasis on variational inference, causal modeling, as well as modern transformer- and diffusion-based architectures
• Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo models, working with scRNA-seq, Perturb-seq and other datasets to unravel causal gene pathways relevant to Alzheimer’s disease
• Develop predictive modeling approaches to identify how perturbations can move cell states from high risk Alzheimer’s profiles back to healthy / low risk states
• Collaborate closely with experimental biologists to ensure ML models are grounded in disease biology and can feedback into future experimental strategies
• Foster collaborations with external partners in the computational biology and neuroscience communities
• Publish high-impact research through preprints, journal publications, open source code, and presentations at leading conferences

Required Qualifications

• PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
• 7+ years of relevant experience with a minimum of 3 years of people management experience
• Strong research background with experience in academic settings (university, research institute) and/or biotech/pharmaceutical industry with a focus on scientific innovation
• Proven expertise in machine learning applications to biological datasets, with specific experience in single-cell profiling data and foundation model development
• Deep experience with interpretable machine learning approaches for biological systems (e.g. variational inference methods).
• Advanced technical skills in machine learning frameworks, particularly PyTorch, and ideally experience with model training at scale
• Publications in top-tier journals in computational biology and machine learning
• Excellent communication skills with ability to present complex machine learning concepts to both computational and biological audiences
• Proven ability to remain technically hands-on while providing effective team leadership, mentorship, and management
• Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus 

The base salary range for this position is $380,000-$420,000. 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.

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.

Why this position could be the best job you’ve ever had?

• Work at the center of AIxBio with the potential to revolutionize drug discovery for the world.
• Work in a unique environment that incorporates both wet lab data generation and frontier AI modelling in an active learning loop.
• Join a new type of research org that fuses high-velocity execution of a startup with the intellectual rigor of a world-class academic institute, with a long runway to tackle some of the hardest - and highest potential -  challenges in science today.
• Collaborate with some of the most accomplished scientists and entrepreneurs in the world.

About the position

We are searching for an innovative scientific leader experienced in building predictive models based on single-cell genomic data. The chosen candidate will spearhead the development and application of advanced machine learning models tailored for perturbative gene expression modeling, in the context of Arc’s virtual cell initiative.

About you

• You are passionate about machine learning, ideally with experience or strong interest in biology and single-cell genomics.
• You want to develop highly innovative and accurate biology-inspired multimodal machine learning models.
• You are excited about collaborating with a multidisciplinary team of computational and experimental biologists at Arc.
• You are a strong communicator, capable of translating complex technical concepts at the intersection of machine learning and biology.
• You are a continuous learner.
• You are interested in recruiting and managing your own group of scientists and engineers as well as mentoring and training for other scientists.

In this position you will

• Lead/build a team of 6 ML research scientists and engineers augmented with undergrad/masters/PhD students to contribute to the development of a state-of-the-art foundation model and agentic framework for understanding how cells respond to perturbations.
• Work in an active learning loop with Arc’s wet lab scientists to shape the world's largest and most diverse set of single cell training data across many cell contexts.
• Collaborate closely with other research groups to integrate genomics, functional track,and omics data more broadly beyond scRNA-seq data and Perturb-seq
• Stay up to date on the latest in frontier ML research and pioneer new architectures and approaches.
• The ultimate goal is to build a high utility virtual cell model for use by biologists worldwide. We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI.
• Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others. 
• Attract the very best talent in the world to support VCI initiative goals

Requirements

• PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field.
• Minimum of 5 years of experience working in/with machine learning, well versed in frameworks such as Pytorch, TensorFlow, JAX, etc.
• Proven experience leading research teams in a fast paced, multi-disciplinary environment.
• Experience with or strong interest in biology with ability to communicate and collaborate successfully with biologists and pure ML engineers.
• Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.

The base salary range for this position is $380,000-$420,000. 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.

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

The Hsu Lab and Konermann Lab are seeking applications for a Scientist in Nucleic Acid Biochemistry at the Arc Institute in Palo Alto, CA, focusing on mechanistic dissection and engineering of Bridge Recombinases—naturally occurring RNA-guided DNA recombinases that we recently discovered and showed can programmably insert, excise, and invert DNA (Nature, 2024; Science, 2025). The candidate will drive the next phase of Bridge Recombinase evolution. Building on our work establishing IS110 and ISCro4 as programmable tools, you will be part of an interdisciplinary team with the goal to engineer bridge RNAs and recombinases for megabase-scale genome modifications, therapeutic gene circuit integration, and scarless disease correction. 

In this role, you will lead the mechanistic program that underpins this effort. You will design and execute rigorous in vitro assays to mechanistically interrogate how bridge recombinases, in complex with their bridge RNAs, recognize target and donor DNA and catalyze strand exchange across all three recombination modalities—insertion, inversion, and excision. Your work will define the parameters that govern recombinase activity, specificity, and the balance between productive and off-pathway outcomes.

About you

• You are driven by science. The world of science is filled with so many unanswered questions and the opportunity to address these questions brings you purpose.
• You are a mechanist. You are energized by the prospect of turning a black-box activity into a quantitative model, and you believe that well-designed biochemistry is one of the most powerful ways to guide engineering.
• You are a collaborator. You love working with people of different backgrounds and brainstorming how hard questions can be broken down and addressed.
• You are intellectually independent and self-motivated to push the boundaries of novel technologies.
• You are an optimizer. In research, there’s always a race against the clock. You care deeply about making every step of the way as close to perfect as possible but also as quick and efficient as possible.
• You build tools. As much as you love answering specific scientific questions, you also love creating assays and platforms that are scalable and useful across many application areas.

In this position you will

• Lead the mechanistic research program on bridge recombinases, including planning, execution, and analysis of experiments across insertion, inversion, and excision modalities.
• Purify recombinant bridge recombinases and reconstitute functional ribonucleoprotein complexes with bridge RNAs and target/donor DNA substrates.
• Develop and apply quantitative in vitro assays—including kinetic, binding, footprinting, and single-turnover/multi-turnover recombination assays—to dissect substrate recognition, complex assembly, strand exchange, and product release.
• Develop higher-throughput biochemical platforms (e.g., plate-based, fluorescence-coupled, or sequencing-based readouts) to enable variant triage and support directed evolution and rational engineering campaigns in the lab.
• Partner with structural biologists to design biochemically informed constructs and substrates, interpret cryo-EM and crystallographic data, and close the loop between structure and function.
• Advance cell biology efforts by helping to reconcile in vitro activity and specificity with behavior in mammalian cells, including by designing assays that recapitulate cellular activity or constraints
• Collaborate closely with the PI on planning and executing scientific research projects, and help shape the broader biochemical strategy of the bridge recombinase program.
• Mentor Research Associates and work with graduate students and other scientists in the lab.
• Develop and provide training to lab personnel as needed, and develop standardized protocols for the lab.
• Keep up-to-date on advances in the field by reading the literature and attending key conferences.
• Publish preprints and journal articles; present findings at conferences.

Requirements

• PhD in biochemistry, molecular biology, biophysics, or a related life sciences or engineering field, with 0-4 years of postdoctoral or equivalent industry experience.
• Demonstrated expertise in mechanistic biochemistry of nucleic acid–protein complexes, including protein purification and reconstitution of functional RNP or protein–DNA complexes.
• Hands-on experience designing and executing quantitative biochemical assays.
• Experience working with gene editing enzymes that act on DNA—CRISPR-Cas9, recombinases, transposases, nucleases, or integrases—is strongly preferred.
• Experience developing higher-throughput biochemical assays (e.g., plate-based fluorescence readouts, NGS-coupled activity or specificity profiling, barcoded substrate libraries) is a strong plus.
• Mammalian and/or insect cell culture experience preferred. 
• Conceptual fluency in structural biology (cryo-EM and/or X-ray crystallography) sufficient to collaborate effectively with structural biologists, design constructs and substrates for structural studies, and interpret structural data in a functional context. Hands-on structural experience is welcome but not required.
• Familiarity with cell-based assays for genome editing activity is a plus.
• Strong written and verbal communication skills.
• Experience and enthusiasm for mentoring research trainees, including graduate students and RAs.
• The successful candidate will be an ambitious self-starter, an innovative and meticulous researcher, and enjoy working in a collaborative and fast-paced team environment.

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.

Why this position could be the best job you’ve ever had

• Bridge the Gap Between Data and Discovery: Move beyond standard pipelines. You will lead our "Tertiary Analysis" work, transforming raw counts into mechanistic analyses that explain how genes, drugs, and environments collide.
• Join a New Type of Research Org: Work within a structure that fuses the high-velocity execution of a startup with the intellectual rigor of a world-class academic institute.
• Command "Gold Standard" Datasets: Gain exclusive access to massive, full-production datasets - from T-cells and NGN2 neurons to deep chemogenetic screens - designed specifically for large-scale discovery.
• Lead with Autonomy: While a sister team handles the essential bioinformatics infrastructure and QC, your mandate builds on top of this by developing the novel methods and analyses needed to uncover new biology (e.g. gene-module detection tools, etc).
• Advancing the field: We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI

About you

• Biological Mechanism Minded: You aren't satisfied with a list of differentially expressed genes. You are obsessed with the "why": building explanatory models that map the complex interactions between genetics, compounds, and the cellular environment.
• Empathetic Leader: You enjoy and derive energy from the "human" side of science. You are a dedicated mentor who views the professional and scientific growth of your team as one of your primary metrics of success.
• Scientific Translator: You are a rare hybrid who speaks the language of both the wet lab and bioinformatics. You can debate mechanistic biology with a neuroscientist and then pivot to discuss algorithmic efficiency with a tool-builder.
• Production Scaled: You have experience working with massive, "full-production" datasets. You know how to extract biological signal from T-cell assays or chemogenetic screens at scale in a fast paced, collaborative environment.

In this position you will

• Build and manage Arc’s Computational Biology team.
• Actively mentor and provide guidance to research staff, developing them both professionally and scientifically.
• Develop and refine cutting-edge tertiary analysis and explanatory modeling approaches across Arc’s key research areas, including functional genomics, transcriptomics, epigenomics, and proteomics.
• Integrate multiple data types to elucidate functional connectivity between genes, transcripts, and proteins, with the goal of building mechanistic models of gene networks and interactions.
• Be a key participant in a collaborative, Institute-wide initiative on functional genomics focused on building virtual cells and the mechanistic understanding of late-onset Alzheimer’s disease.
• Partner with Arc’s Core Investigators and Technology Centers to advance research across the institute and create a culture of collaboration and excellence.
• Engage in and manage internal and external research collaborations.
• Attend and present at team meetings to share results, plan projects and experiments, and ensure that projects support team goals.

Job Requirements

• PhD, MD, or MD/PhD in a relevant field and 12+ years of relevant experience in industry and/or academic settings; including 5+ years of experience managing, leading, and growing scientific teams. 
• Extensive experience with genomics, transcriptomics, epigenomics, and single cell sequencing data analysis. 
• Experience developing innovative computational algorithms to address biological questions.
• Outstanding written and verbal communication skills are required for research presentations, SOP development, and publications. 
• The successful candidate will be an ambitious self-starter, be motivated to apply his/her skills to diverse projects, and enjoy working in a fast-paced team environment

The base salary range for this position is $233,500-$287,500. 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.

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 Molecular Engineering team within the Genome Engineering Technology Center at Arc for a fixed term of six months to support the execution of arrayed genetic perturbation screens in disease-relevant human pluripotent stem cell (hPSC)-derived cells. In this position, you will play a key role in our Molecular Engineering platform development efforts for end-to-end lentiviral gRNA delivery to differentiated cells by executing, evaluating, and optimizing protocols to efficiently deliver high levels of perturbations into cells that will be incorporated into 2D and 3D brain models by our collaborators in the Cellular Models Tech Center. Through this work, you will play a critical role in the Institute's Alzheimer's Disease Initiative, an ambitious cross-functional effort aimed at identifying and developing drugs for rational therapeutic targets to combat devastating neurodegenerative disorders.

The ideal candidate will have experience and proficient skills in stem cell culture and functional characterization of engineered cells, with expertise in implementing, running, and troubleshooting workflows with an outstanding attention to detail. This is an excellent opportunity for a highly motivated and curious researcher interested in helping translate genomic insights into therapeutic strategies by contributing to a pioneering platform that has the potential to transform our understanding and treatment of Alzheimer's disease and related disorders. 

About you 

• You love science and learning. Whether it’s gaining knowledge in new fields of scientific research or learning a new lab technique, you never stop being curious and routinely enjoy stepping out of your comfort zone to learn new things. 
• You are flexible and adaptable, eager to try new ways of tackling problems beyond the approaches with which you’re familiar while also bringing energy and curiosity to the optimization of existing approaches.
• You have a creative and curious spirit, open and eager to try new ways of tackling problems beyond the approaches with which you’re familiar.
• You can work fast and are detail-oriented. You are careful and diligent about good documentation practices and keeping things organized while moving at a rapid pace.
• You show initiative and can effectively work independently while also adapting well to situations where collaboration and communication with other RAs / Scientists will bring the best results.
• You are comfortable carrying out the routine execution of tasks while identifying opportunities to troubleshoot and improve bottlenecks.
• Your organizational skills enable you to manage multiple concurrent projects, and your curiosity and creativity drive you to continuous learning and innovation.

In this position you will

• Execute routine stem cell culture and differentiation protocols.
• Conduct and optimize lentiviral transduction-based experiments to introduce arrayed genetic perturbations into engineered cell lines.
• Leverage in vitro cell-based assays (flow cytometry, imaging, immunostaining, etc.) and molecular biology techniques to characterize the functional activity of genetic perturbed cells.
• Support the cross-functional execution of arrayed genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc.
• Have a systematic approach to the execution of tasks and experiments with a focus on efficiency and reproducibility.
• Maintain careful records in ELN (electronic lab notebook) and organize materials and reagents with detailed tracking in our LIMS system.
• Troubleshoot and identify opportunities to improve existing protocols and platform capabilities. 
• Analyze and present data and at internal meetings and seminars.

Requirements

• BS/MS or equivalent professional experience in Biology, Biotechnology, Genetics, Cellular Biology, or relevant fields.
• With a BS degree, 4+ years of relevant experience or with a MS degree, 0-2+ years of relevant postgraduate experience. Industry experience is desirable but not required.
• Relevant lab experience including demonstrated and proficient skills for stem cell and progenitor cell culturing and routine characterization. 
• Familiarity with CRISPR-Cas9 or other genome editing or genetic perturbation techniques, with hands-on experience functionally characterizing genetically modified cells. 
• Experience running and analyzing flow cytometry experiments, including familiarity with running multi-color panels, immunostaining experiments, and FlowJo analyses. 
• Detail-oriented with excellent organizational and time management skills.
• Strong oral and written communication skills. 
• Ability to multitask, willingness to learn, and work in a highly collaborative environment.

Preferred Qualifications:

• Proficiency and experience with molecular cloning, virus production, and cell line engineering. 
• Experience with LIMS systems, ideally Benchling.
• Experience analyzing large data sets preferably using data scripting tools such as Python or R.

The base monthly rate range for this position is $7,290 - $9,520. These amounts reflect the range that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual 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.

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 Scientific Program Manager Lead to drive and coordinate strategic research initiatives across Arc Institute. This role will be instrumental in orchestrating complex, multi-disciplinary projects that span our Technology Centers encompassing cellular models, mammalian models, genome engineering, multi-omics, computational biology, and machine learning.

A defining dimension of this role is the facilitation of cross-functional and cross-institutional collaboration to keep Arc's most complex programs moving. You will lead regular working meetings across Technology Centers, Core Investigator groups, and institute leadership—surfacing and resolving blockers, ensuring effective resource allocation, and maintaining alignment across teams working toward shared scientific goals. As Arc's research programs grow in scope and ambition, this coordination function becomes increasingly critical to execution.

The ideal candidate combines deep technical knowledge of biological research with strong program management skills and a track record of driving progress across distributed, interdisciplinary teams. In this role, you will work closely with Technology Center leaders, Core Investigators, and institute leadership to advance Arc's Virtual Cell and Alzheimer's Disease initiatives through structured, proactive program oversight.

In this role, you will also shape the strategic direction of Arc's research programs, mentor junior team members, and establish program management frameworks that appropriately support the institute's scale.

About you

• You’re a strategic relationship builder. You understand that scientific progress at the institutional level depends on strong internal and external partnerships. You have deep experience cultivating and managing alliances with academic partners, industry collaborators, and peer institutions—and you know how to structure these relationships so they deliver value for all parties over the long term.
• You love structuring problems and solutions. You take a strategic view and excel at breaking down complex research initiatives into clear workstreams and deliverables, identifying dependencies, and anticipating potential bottlenecks before anyone else. You have a track record of successfully managing programs from inception to completion across multiple scientific disciplines and institutional boundaries.
• You’re able to find the razor’s edge between formality and chaos. You know that the path to the biggest discoveries are never linear. So you balance process formality with leaving space for innovation, always with an eye to delivering outstanding results. You’ve developed an intuition for when structure enables and when it constrains—especially in multi-institutional settings where flexibility and clarity must coexist.
• You are persuasive but tactful. You have a presence that commands respect (including from people more senior/knowledgeable than you) yet bring tact, diplomacy, and fun to your interactions with team members. You’ve built trust and influence across organizational and institutional boundaries throughout your career.
• You’re energized by learning. You’re a lifelong learner that loves to work at the intersection of biology and technology. You stay current with scientific developments and can connect emerging research trends to operational planning, partnership strategy, and program design.
• You lead through influence, not authority. You have extensive experience building consensus across diverse scientific groups—both internal and external—managing up effectively, and driving alignment without formal authority. You know how to navigate the unique dynamics of academic-industry hybrid environments and multi-institutional collaborations.
• You think institutionally. You don’t just manage projects—you see the bigger picture. You proactively identify opportunities to strengthen Arc’s collaborative network, and you champion scalable frameworks for partnership management that benefit research teams across the organization.

In this position you will

• Lead and coordinate major research initiatives that span multiple Technology Centers and external collaborators, ensuring clear communication of objectives, timelines, and dependencies across institutional boundaries
• Manage Arc’s portfolio of internal and external scientific collaborations and strategic alliances
• Structure and negotiate collaboration frameworks, ensuring that partnership agreements, governance models, and joint milestones are clearly defined and aligned with Arc’s scientific mission
• Serve as a primary relationship manager for key partners, building trust, resolving issues, and ensuring that collaborations remain productive and mutually beneficial over time
• Facilitate regular cross-functional and cross-institutional meetings to drive progress, remove blockers, and ensure effective resource allocation
• Design and implement institute-wide program management frameworks, project tracking systems, and collaboration processes that scale with organizational growth and an expanding external network
• Identify opportunities for new strategic partnerships and collaborations that could accelerate Arc’s research programs, and present well-structured recommendations to institute leadership
• Track and communicate project and partnership progress to stakeholders at multiple levels, from technical teams to institute leadership and founders
• Serve as a strategic thought partner to Technology Center leaders and Core Investigators on program design, risk mitigation, resource planning, and external collaboration strategy
• Help foster a culture of innovation, excellence, collaboration, and continuous improvement
• Mentor and develop junior program management staff, building institutional capacity for program management
• Lead change management efforts as the institute scales, ensuring that evolving processes support rather than hinder scientific discovery and external engagement

Requirements

• PhD degree in Life Sciences or a related field and 8–12 years of experience in program management in a research or translational setting
• Demonstrated experience managing external scientific collaborations, strategic alliances, or academic-industry partnerships, with a proven ability to structure, navigate, and steward productive long-term relationships
• Background in one or more relevant biology areas (genome engineering, multi-omics, cellular engineering, etc.)
• Strong track record of successfully managing complex, multi-stakeholder projects in research environments, balancing competing priorities while maintaining focus on key long-term strategic objectives
• Track record of building and scaling program management or alliance management functions in fast-growth research organizations
• Experience with advanced project management tools and methodologies (e.g., Asana, Jira, Smartsheet)
• Excellent communication skills and are comfortable regularly engaging with a broad range of research scientists, experimentalists, senior management, and external partners
• Demonstrated experience leading cross-functional and cross-institutional initiatives and building influence without direct authority in matrixed or research-intensive organizations
• Proven ability to manage and mentor team members, with a track record of developing talent in research operations

Preferred Qualifications

• Experience with computational biology or machine learning projects
• Background in multiple biology domains
• Direct experience managing university-industry research partnerships or consortium-level scientific collaborations
• Familiarity with intellectual property, material transfer agreements, or other legal frameworks common in academic-industry collaborations
• Change management certification or experience leading organizational transformation initiatives
• Public speaking and scientific communication experience

The base salary range for this position is $172,000-$212,000. 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.

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.

Why this position could be the best job you’ve ever had 

• You won't just manage programs — you'll help build the infrastructure that connects world-class science to the institutions that support it. Arc sits at a unique intersection: the resources and pace of a well-funded organization, the intellectual ambition of a top-tier research institute, and partnerships with three of the most influential universities in the world. Your work will directly shape how those partnerships grow and how Arc's scientific community thrives.
• This role gives you a seat at the table, not just a task list. You'll be a thought partner to the team's leader, help design programs from the ground up, and see your ideas take shape in real time — all while working alongside people who are genuinely trying to change how science gets done.

About the position

The Program Manager is a key member of the University Relations & Academic Affairs team. In this role, you will provide strategic and programmatic support to the team as well as the overall Arc community. The Program Manager portfolio includes Arc’s Innovation Investigator and Ignite Awardee programs, the Arc Biosciences Fellowship program, onboarding of new faculty, as well as other initiatives. The Program Manager will also have an active role in the development and execution of our university relations strategy. 

You will help establish and improve processes for all the programs and projects in your portfolio, and take the lead on several internal initiatives. You will be responsible for developing communications for internal and external programs and projects, designing and implementing good practices for management of our partner university relationships, and designing and coordinating various events, among other activities that will contribute to your success in the role. The Program Manager works in collaboration with members of the operations team and reports to the Head of University Relations & Academic Affairs.

Success in the position requires the ability to juggle multiple priorities in a fast-paced environment and strong project and management skills. The Program Manager uses independent judgment in decision-making and employs strong communication, problem-solving and organizational skills. She/he/they is mission-oriented and has an excitement for propelling science through partnerships.

About you

• You are a collaborator. You recognize the value of building relationships and like working with a variety of people to get things done. 
• You thrive in a fast-paced environment. You work quickly but thoughtfully. 
• You enjoy being a part of multiple projects and seeing how individual initiatives fit into the bigger mission of the team and the organization. 
• You love ensuring that projects are completed on time and with as little friction as possible. You make this happen by taking into account both the big picture and the details, building strong relationships with the stakeholders, and actively managing the steps along the way. 
• You are inspired by science. Whether you have worked in biotech or barely know what CRISPR is, you see the transformational potential of biomedical research, and want to contribute to advancing the field with your expertise.

In this position you will

• Act as a thought partner to the Head of University Relations & Academic Affairs
• Assist with the development, implementation and management of several initiatives, including: Arc’s Innovation Investigator and Ignite Awardee programs, Arc’s Biosciences Fellowship program, and more.
• Assist in the development and execution of our university relations strategy
• Interface with Arc’s university partners on a variety of issues, e.g., joint initiatives, program development and implementation, etc.  
• Manage timelines, communications and logistics for programs 
• Assess efficacy and success of programs, providing feedback and suggestions for improvement
• Provide support for Arc’s faculty and fellows searches as we grow our Core Investigator and Science Fellow teams
• Assist with the creation and implementation of forums for connection amongst Arc’s scientific community, including a variety of events
• Manage the onboarding process for faculty and fellows joining the Arc community, including internal and external stakeholder management

Requirements

• 5+ years experience in a project coordinator or project manager role (preferably in an academic setting but not required)
• Experience designing and executing programs that scale
• Passionate about working in a highly collaborative environment, partnering closely with faculty and all of Arc’s Ops teams 
• Proven experience acting as a trusted and effective partner, internally and externally
• Superior communication and writing skills 
• Solution-oriented and adept at navigating shifting priorities and rapid change in a growing organization
• Highly organized and detail-oriented 
• Work minimum of  3 days per week onsite in our Palo Alto office

Preferred Qualifications

• Working knowledge of project management tools (e.g., Asana) and CRM systems a plus

The base salary range for this position is $117,000 to $145,000. 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.

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

The IT Operations Manager is a technical and operational leader responsible for the day-to-day reliability, performance, and scalability of Arc’s technology systems. This role serves as a key escalation point for infrastructure issues and the helpdesk, and a hands-on operator across our core platforms. The ideal candidate brings deep systems expertise across on-premises and cloud infrastructure, a service-delivery mindset, and the ability to help drive the organization forward. This position is full-time onsite (5 days a week).

About you

• You love working in a technical environment that is constantly evolving, growing and pushing towards the betterment of scientific research. 
• You have a strong technical foundation, want to always be learning and to help shape a strong operational support team. 
• You align your team's work with organizational goals and contribute to broader IT strategy.

In this position you will

• Oversee the daily operations of the IT department and ensure that systems and networks are running smoothly
• Lead IT support teams to ensure consistent, high-quality service delivery to Arc
• Help foster a collaborative, solutions-oriented culture within the team and to the greater organization
• Define and monitor service level targets; review ticket queues, escalation trends, and resolution metrics to identify systemic gaps
• Serve as a technical resource for IT team —fielding escalations, providing guidance, and enabling the team to resolve issues more effectively
• Manage operational technology vendors and service providers to ensure that Arc’s technology needs are met
• Assist IT Leadership in the development of departmental and technology strategies across Arc’ tech stack, measure upon the effectiveness of these strategies
• Actively invest in the growth and development of team members by sharing knowledge, providing mentorship, and creating space for others to take on meaningful work
• Drive continual service improvement by identifying recurring issues, proposing process or tooling changes, and ensuring knowledge base content stays current
• Collaborate with the team to align helpdesk operations with ITSM best practices
• Monitor system performance, availability, and capacity across the stack; proactively identify risks and drive remediation before issues impact researchers or staff
• Oversee configuration management, change control, and documentation standards across managed systems

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience
• 10+ years of progressive IT infrastructure and systems administration experience in a technical operations or senior engineering role
• 2+ years of experience in managing direct reports
• Experience overseeing or directly supporting a helpdesk or service delivery function
• Hands-on expertise with systems administration, design and troubleshooting
• Practical experience with Google Workspace or MS365 at an organizational scale, including user management, domain configuration, and application integrations
• Working knowledge of hyperscaler environments (AWS, Azure, GCP, etc.) at the administration and engineering level
• Familiarity with the design and build of backup and recovery platforms
• Ability to produce clear technical documentation and maintain active repositories and knowledge bases
• Ability to work onsite 5 days a week

Preferred Qualifications

• Experience in managing teams or supporting large scale projects to deliver high output results
• Familiarity with ITSM platforms (ServiceNow, Freshservice, Jira)
• Experience in the creation of and execution of IT Strategy initiatives as well as the ability to report on the effectiveness of those strategies
• Experience supporting HPC or research computing environments
• Experience with observability tooling for enterprise monitoring and reporting
• Knowledge of SD-WAN or private interconnect technologies
• Experience with Okta, including SAML, SCIM and policy administration
• Relevant certifications (e.g., AWS, Cisco, Google Cloud, Okta, CompTIA, ITIL) are a plus

The base salary range for this position is $157,500 to $195,500. 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.

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

As Arc's Digital Content Manager, you'll be responsible for maintaining and improving Arc's web presence, producing multimedia content, and supporting your communications team colleagues in bringing Arc's science to wider audiences. You'll create and coordinate photo, video, and audio content, manage Arc's website and digital platforms day to day, and help ensure Arc's work is discoverable online. You'll work closely with Arc’s researchers, staff, and external vendors to keep our digital footprint accurate, engaging, and current. This is a hybrid onsite role, reporting to the Head of Communications.

About you

• Genuinely curious about science, particularly at the intersection of biology and AI, and motivated to help researchers share their work with the world in new and creative ways
• You're drawn to producing things, whether that's a short video, a photo essay, or a polished web page, and you take pride in the craft of how something looks and feels online
• Organized and adaptable professional who can balance routine digital comms support with emerging projects and shifting priorities
• Strong collaborator who can work effectively with multiple stakeholder groups
• You're aware of how platforms and content formats are evolving in real time, and you're excited rather than intimidated by how fast this space is moving
• Comfortable using AI-powered tools as part of your everyday workflow, and curious about where they're headed
• You think about what success looks like before you hit publish, and you're naturally curious about the data that tells you whether it landed
• Comfortable in a room with scientists, senior leaders, PIs, and founders — you don't need to be the expert, but you know how to hold your own and earn trust with people who are
• You pay attention to how peer organizations in science, tech, and beyond are telling their stories, and you bring those ideas back to the table

In this position you will

• Manage and evolve Arc's website in Sanity CMS, handling content updates, page builds, and ongoing improvements to how the site’s front end is organized and performs
• Produce photo, video, and audio content for Arc’s web and social channels, and manage relationships with outside production vendors to ensure quality and alignment
• Contribute to Arc's social media presence through short-form video, graphics, and other multimedia assets, and help maintain consistency and quality across platforms
• Support the communications team on digital elements of major announcements, campaign pages, event coverage, and other institutional priorities
• Maintain and evolve Arc's web directory of software and models
• Ensure Arc's content is optimized for discoverability across search engines and AI platforms
• Own Arc's social and web analytics — track performance across platforms, synthesize findings, and regularly share data-informed recommendations with the communications team on what's working and what to do differently
• Take on special projects and cross-team initiatives as Arc's communications needs evolve

Requirements

• Bachelor's degree in Communications, Digital Media, or a related field
• 3-6+ years of experience in digital content management, web production, or a related experience in a scientific, technical, or academic environment
• Strong portfolio showing web content, multimedia projects, and examples of site improvements or builds you've managed
• Proficiency with photo editing and basic video and audio editing tools
• Familiarity with SEO fundamentals and how content is discovered and surfaced across search engines and AI platforms
• Hands-on experience managing a website through a content management system, including making improvements to how content is structured and published 
• Experience with web analytics platforms (e.g., Google Analytics) and a track record of using data to evaluate content performance and guide strategy
• Excellent organizational skills and ability to work on multiple projects simultaneously
• Able to commit to a hybrid onsite schedule

Preferred Qualifications

• Experience with Sanity CMS specifically
• Familiarity with basic web technologies (HTML, CSS, Javascript) and a general understanding of how modern front-end frameworks work, enough to collaborate effectively with engineering and infrastructure teamsBackground in research, engineering, or academic communications

The base salary range for this position is $90,750 to $139,750. 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.

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 with a strong background in single-cell RNA-seq to join the Virtual Cell Initiative at Arc Institute. In this role, you will contribute to the generation of large-scale single-cell perturbation datasets across 50+ cancer cell lines to train Virtual Cell models to make accurate predictions of cellular state and their response to intervention.

You will use your experience implementing single-cell genomics technologies to scale our workflows for generating high-quality scRNA-seq datasets and contribute to critical data generation for Arc’s Virtual Cell Initiative. As part of a highly collaborative team, you will have opportunities to build expertise in cell line engineering, mammalian cell culture, and CRISPR screening. This role is ideal for someone who is detail-oriented and motivated by optimizing experimental workflows. The successful candidate will have excellent time management and communication skills and will thrive within our vibrant and collaborative culture.

About you

• You are passionate about working at the intersection of high-throughput biology and AI/ML to advance human health.
• You are process-oriented and are motivated by optimizing workflows for efficiency and scalability.
• You thrive in a timeline-driven, dynamic, team science environment.
• You hold yourself to a high standard of rigor and consistency in your experimental work.
• You are detail-oriented and maintain thorough documentation practices.

In this position you will

• Execute single cell genomics workflows, including sample processing, NGS library preparation, and QC.
• Support Arc’s Virtual Cell Initiative CRISPR screening efforts by working collaboratively to generate large in vitro gene perturbation datasets across many cell contexts.
• Optimize and troubleshoot our single cell sequencing and CRISPR screening workflows to maximize data quality, diversity, and scalability.
• Streamline high throughput experiments by implementing automation solutions.
• Utilize project management systems to track progress and ELN/LIMS  systems to document experimental data.
• Communicate experimental progress and results at group and cross-functional meetings.

Requirements

• BS + 4 years or MS + 2 years of professional experience in cellular biology, molecular biology, biochemistry, neuroscience, or another relevant field. 
• Expertise in running single cell RNA-seq workflows, including cell sample preparation, single cell capture, and library preparation. Experience with 10X Genomics technology is a plus.
• Hands-on experience with common molecular biology techniques, including PCR/qPCR/ddPCR, DNA and RNA purification, and nucleic acid QC and quantification (e.g., TapeStation, Qubit).
• Proficiency in aseptic technique for culturing mammalian cell lines.
• Strong attention to detail and ability to follow experimental protocols precisely.
• Experience using an ELN to document your work and track biological material. Familiarity with Benchling is a plus.
• Excellent written and verbal communication skills and a collaborative mindset.

Preferred Qualifications

• Experience working in an industry setting is desirable but not required.
• Experience implementing liquid handling solutions or automation for molecular biology workflows.
• Familiarity with performing large-scale pooled CRISPR screens.
• Proficiency in flow cytometry or cell sorting for single cell sample preparation.
• Experience with software for data analysis and visualization. Familiarity with analyzing data using Python, R, or another high-level programming language is a plus.

The base salary range for this position is $87,000 - $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.

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 Scientist with a strong background in functional genomics and single-cell sequencing to join the Virtual Cell Initiative at Arc Institute. The initiative aims to create the first foundational model that makes accurate predictions of cellular states and their response to intervention. In this role, you will lead the generation of massive single-cell perturbation datasets across 50+ cancer cell lines to train Virtual Cell models. 

You will be responsible for the end-to-end experimental workflow—from mammalian cell culture and large-scale CRISPR screening to single-cell library preparation and sequencing. Beyond technical execution, this role requires a scientist with exceptional project management capabilities, proficient in organizing complex data streams and adhering to timelines. The successful candidate will thrive within our vibrant team science culture, collaborating daily with other wet lab scientists, automation engineers, and computational biologists. We believe that the most ambitious science is achieved together, and in this highly integrated role, you will bridge the gap between experimental biology and computational innovation. 

About you

• You are passionate about the intersection of high-throughput biology and AI/ML to advance human health.
• You enjoy working collaboratively with others and thrive in a fast-paced, dynamic, team science environment.
• You are committed to scientific rigor, generating high-quality data, and maintaining thorough documentation practices.
• You possess a process-oriented mindset, constantly seeking ways to optimize workflows for efficiency and scalability.
• You are diligent, detail-oriented, and excel at troubleshooting complex experimental pipelines.
• You excel at organization, time management, and task prioritization, and enjoy independently driving multiple projects in parallel.

In this position you will

• Execute large in vitro perturbation screens in diverse cell types to generate high quality single-cell perturbation datasets.
• Work with our interdisciplinary teams to further optimize functional genomics platforms and CRISPR technologies for large-scale data generation.
• Utilize project management systems to track progress and adhere to timelines, and document experimental data on ELN/LIMS in an organized manner.
• Interact cross-functionally with wet lab, computational, and machine learning teams to generate, analyze, and interpret data.
• Present key research findings at internal meetings and seminars, and external conferences.

Requirements

• PhD in Cell Biology, Molecular Biology, Genomics, or another relevant field. 
• 0-3 years of post-PhD experience in academia or industry.
• Extensive experience with large-scale pooled CRISPR screening, preferably with scRNA-seq readouts (e.g. Perturb-seq, CROP-seq).
• Expertise in mammalian cell culture and ability to manage multiple cell lines simultaneously.
• Experience in multi-color flow cytometry.
• Experience with mammalian cell line engineering using transfection, lentivirus production and transduction, and other common approaches.
• Experience with different molecular biology techniques (cloning, PCR, etc).
• Demonstrated ability to work both independently and in a highly collaborative multidisciplinary environment.
• Strong project management skills with the ability to independently plan, execute, and deliver results on time. Experience with using various project management systems, ELN and LIMS (e.g. Asana, Benchling).
• Excellent written and verbal communication skills.

Preferred Qualifications

• Hands-on experience with downstream genomics protocols, especially scRNA-seq (preferably 10X Genomics workflows).
• Experience designing and cloning large pooled CRISPR sgRNA libraries.
• Experience optimizing different CRISPR-Cas9 effector systems, such as CRISPRi and CRISPRa, including vector design and delivery.
• Experience performing FACS-based cell sorting.
• Ability to analyze large datasets using Python, R, or similar tools.
• Familiarity with different NGS technologies (Illumina, Ultima).
• Experience using automation to scale, streamline, and optimize large-scale experiments.

The base salary range for this position is $121,250 - $159,500. 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.

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 Scientist with a strong background in cellular engineering and stem cell biology to join the Molecular Engineering team within the Genome Engineering Technology Center at the Arc Institute. In this role, you will design, generate, and characterize engineered human pluripotent stem cell (hPSC) lines for arrayed genetic perturbation screens in complex organoid models used to recapitulate and probe human genetics of neurodegenerative disorders. Examples of engineering projects include developing optimized effector systems for gene knockdown and activation that function robustly throughout differentiation, introducing rare coding variants to model disease-associated mutations, and implementing novel genome engineering technologies to expand perturbation capabilities. Through this work, you will play a critical role in the Institute's Alzheimer's Disease Initiative, an ambitious cross-functional effort aimed at identifying and drugging rational therapeutic targets to combat devastating neurodegenerative disorders.

This position is highly collaborative and the candidate will have an unique opportunity to interface 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.

About you

• You are passionate about science and excited about answering questions related to molecular design, genome engineering technology development, and complex human diseases.
• You embrace challenges and often formulate creative solutions to develop new approaches and optimize existing tools to answer complex biological questions.
• You understand the importance of collaboration and thrive when working with a diverse team of scientists.
• You have a deep commitment to data quality while working in a fast-paced environment.
• Your organizational skills enable you to manage multiple concurrent projects, and your curiosity and creativity drive you to continuous learning and innovation.

In this position you will

• Develop and optimize engineered hPSC lines for arrayed genetic perturbation screens in complex organoid models, applying genome engineering strategies tailored to the desired edit and experimental goals.
• Design and implement systematic approaches to identify, benchmark, and optimize effector systems for gene knockdown and activation that function robustly throughout differentiation to disease-relevant cell types.
• Execute clonal isolation, expansion, and comprehensive characterization of engineered cell lines, applying and refining established quality control standards and assays to ensure functionality, stability, and reproducibility across multiple engineering approaches.
• Support the cross-functional execution of arrayed genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc. 
• Serve as a key technical resource for cellular engineering of stem cells, partnering with researchers across Arc's Tech Centers and Core Labs to support a wide range of experimental applications and flexibly implement genome engineering approaches based on key biological questions and downstream requirements.
• Present findings at internal meetings and external conferences, and contribute to scientific publications.
• Stay updated on the latest developments in the fields of genome engineering, stem cell biology, and cellular engineering, actively seeking out opportunities for innovation and technology adoption.

Requirements

• PhD in Molecular Biology, Bioengineering, Genetics, or a related field.
• 0-3 years of post-PhD research experience (industry or academia).
• Experience with genome and cell line engineering in stem cells, leveraging a range of genome engineering strategies (CRISPR-Cas9 knock-in, recombinase systems, base editing, prime editing, etc.) and performing comprehensive characterization including on-target validation, off-target assessment, and functional validation of edited cell lines.
• Experience with and enthusiasm for applying cutting-edge molecular tools to disease modeling and function-based screening, and implementing application-driven iterative, systematic technology maturation.
• A collaborative mindset and enthusiasm for mentoring and working within a cross-functional team.
• Strong project management skills with the ability to plan, execute, and deliver results on time.

Preferred Qualifications

• Experience differentiating hPSCs into neural or immune lineages; microglia differentiation experience highly desirable.
• Experience with transcriptional modulation systems (CRISPRi/a) for functional genomics screens, including effector optimization and performance benchmarking.
• Proficiency with computational tools for analyzing genomics data (Python, R, or similar).
• Experience with LIMS systems, ideally Benchling.

The base salary range for this position is $121,250 - $159,500. 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.

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

In this vital role, you will have the opportunity to shape the future of the flow cytometry core service at Arc, coordinating and managing instrument usage, user training, and day-to-day operations. You will operate analytical and sorting cytometers, with a strong focus on advising research teams on method development, assay design, and data analysis. Beyond core operations, you will help shape the strategic direction of flow cytometry at Arc—benchmarking new technologies, identifying opportunities for innovation, and driving collaborative initiatives across the institute. This position combines hands-on technical expertise with scientific leadership and community engagement.

About You

• You are a skilled and passionate flow cytometry expert who thrives at the intersection of cutting-edge technology and collaborative science.
• You are a collaborative and solutions-oriented scientist with deep expertise in flow cytometry.
• You have a natural ability to translate complex scientific concepts into clear, accessible training materials, and you take pride in empowering laboratory personnel at all levels to work safely and effectively with flow cytometry instrumentation.
• You bring a strategic mindset to assay development, panel design, and data interpretation, and you are confident leading cross-institute initiatives that push the boundaries of what flow cytometry can achieve.
• You are a proactive communicator who enjoys sharing knowledge — whether through hands-on demos, internal presentations, or talks at major scientific conferences — and you are excited by the opportunity to shape Arc's reputation as an innovation leader in the field.

In this position you will

• Enable increased capacity for users to operate analytical flow cytometry analyzers & sorters and execute walkaway flow sorts.
• Develop clear training strategy, overview of training pathways and material and easy access to training
• Train and assist laboratory personnel with respect to the use of flow cytometry equipment and safety procedures.
• Provide strategic direction in assay development, panel design, troubleshooting, and data interpretation. Run data analysis and interpretation of data generated at the FACS facility
• Lead cross-institute initiatives that leverage flow cytometry.
• Stay at the forefront of advancements in flow cytometry technology, instrumentation, and analytical methodologies. Run benchmarking of relevant technologies and share insights with the Arc community via demos and presentations.
• Identify emerging opportunities where flow cytometry can unlock new biological insights aligned with Institute goals.
• Drive scientific discourse through presentations at major conferences, serve as a thought leader in the flow community, and contribute to Arc's reputation as an innovation leader.
• Backup to maintain and troubleshoot flow cytometry instruments. You must be comfortable performing hands-on troubleshooting and solving basic instrument problems as they arise. 
• Backup as a shared point of contact with the manufacturer’s technical support and field service engineering teams to coordinate instrument preventative maintenance and repairs as needed.
• Help with equipment management and recharge program in concert with the Lab Ops team to minimize equipment downtime and maintain equipment service logs.
• Backup manage access for end users depending on training requirements.
• Backup monitor and manage the supply of all commonly required fluids,  supplies and consumables.
• Help maintain laboratory safety in BSL2 and BSL2+ environments for everyone that accesses the laboratory & help with risk assessments 

Requirements

• Doctorate/Masters or BA degree in relevant discipline with a total of 8 or more years of Cytometry experience.
• Extensive expertise in flow cytometry; strong understanding of cytometry platforms and instrumentation, equipment support, and assay development.
• Working knowledge of Full Spectrum Flow cytometry. In addition, knowledge of how to integrate flow & imaging cytometry efforts with adjacent single cell technologies (e.g., RNA seq, CRISPR screens, etc) would be preferred.
• Proficiency in flow cytometry analysis software such as FlowJo, FCS Express, and/or OMIQ.
• Good documentation practices & scientific conduct as defined by standard operating procedures.
• Ability to work later hours, as required.

Preferred Qualifications

• Proven ability to interact with stakeholders to understand program needs, assay specifics, timelines, and data delivery.
• Experience of leveraging varied AI/ML analytical platforms as they emerge into our industry & work in a team structure with data scientists in synergy.
• Facs Core management experience a plus.

The base salary range for this position is $104,500 - $128,750. 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.

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

The Hsu Lab is seeking applications for a Scientist at the Arc Institute in Palo Alto, CA, focusing on the development and applications of novel genome engineering technologies. We recently discovered and developed Bridge Recombinases, which are naturally occurring RNA-guided DNA recombinases that can programmably insert, excise, and invert DNA (Nature, 2024 and Science, 2025). The candidate will drive the next phase of Bridge Recombinase evolution. Building on our work establishing IS110 and ISCro4 as programmable tools, you will lead efforts to engineer bridge RNAs and recombinases for megabase-scale genome modifications, therapeutic gene circuit integration, and scarless disease correction. You will tackle critical challenges in RNA structural design, protein evolution, and off-target minimization to bridge the gap between basic discovery and clinical application. To achieve this, you will work in collaboration with biochemists, structural biologists and computational scientists in the lab, with the ultimate goal of enabling therapeutic applications in human cells and aiding genome design.

About You

• You are driven by science. The world of science is filled with so many unanswered questions and the opportunity to address these questions brings you purpose. 
• You are a collaborator. You love working with people of different backgrounds and brainstorming ideas on how these questions can be addressed. 
• You are intellectually independent and self-motivated to push the boundaries of novel technologies.
• You are an optimizer. In research, there’s always a race against the clock. You care deeply about making every step of the way as close to perfect as possible but also as quick and efficient as possible.
• You build tools. As much as you love answering specific scientific questions, you also love creating technology and platforms that are scalable and useful in many different scientific application areas.

In this position you will

• Lead one or multiple scientific projects in molecular technology development including planning, execution, analysis of experiments. 
• Collaborate closely with the PIs on planning and executing scientific research projects.
• Keep up-to-date on advances in the field by reading the literature and attending key conferences.
• Mentor Research Associates and/or work with graduate students and other scientists in the lab
• Develop and provide training to lab personnel as needed, develop standardized protocols for the labs.
• Publish preprints and journal articles; present findings at conferences

Job Requirements

• PhD in a relevant life sciences or engineering field
• Experience with different molecular biology assays and techniques, including high-throughput cloning strategies (e.g., Golden Gate, Gibson) and library generation
• Mammalian cell culture experience 
• Experience in protein engineering, directed evolution (e.g., PACE, DMS), or rational protein design 
• Prior experience in developing genome engineering technologies (CRISPR, recombinases, transposases, etc.) preferred
• Strong written and verbal communication skills 
• Experience and enthusiasm for mentoring research trainees, including graduate students and RAs
• The successful candidate will be an ambitious self-starter, an innovative and meticulous researcher, and enjoy working in a collaborative and fast-paced team environment

The base salary range for this position is $121,250 to $159,500. 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.

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

The Zhou Lab is looking for motivated, hard-working and curious applicants. Our expertise is in single-cell epigenomic modeling. We use high-throughput single-cell multiomic technologies and build computational models to study spatiotemporal dynamics of gene regulation.

The successful candidate will play a crucial role in advancing the state-of-the-art in generative AI applied to biology, including DNA sequence, gene regulation, and perturbation modeling. You will focus on developing ML models for biological data, leveraging frontier approaches such as novel ML architectures, interpretability techniques, and more. You will also apply your models for important computational biology applications in genome mining, molecular technology development, and invention of new therapeutic approaches.

This role is a unique opportunity to advance state-of-the-art machine learning in genomics and cell biology, contribute to high-impact scientific discoveries, and help define how computational approaches shape our understanding and engineering of biology. You will work in a highly collaborative team with expert experimental biologists to realize the full impact of your work, and also have the opportunity to contribute to Institute-wide machine learning efforts such as Arc’s Virtual Cell Initiative.

Post-docs will be encouraged to lead independent projects resulting in high impact publications, present at conferences and prepare for long-term careers in academia or industry.

About you

• You are passionate about developing machine learning models with real-world applications and scientific impact.
• You have a strong understanding of modern deep learning, computational biology, and genetics.
• You are known for your ability to analyze/visualize complex datasets, build high-quality ML tools, draw meaningful conclusions, and work effectively in a multidisciplinary team. 
• You are eager to learn and adapt new techniques.
• You are intellectually independent and are able to design new research directions and projects with input from your PI.
• You are excited about collaborating with a multidisciplinary team of experimental biologists and machine learning researchers at Arc.
• You are familiar with recently reported projects in the fields of AI for genomics and biological design, including DNA sequence to function models, genome language models, and single-cell foundation models.

In this position you will

• Train and evaluate state-of-the-art machine learning models for genomics 
• Design, perform, and analyze experiments for model applications
• Keep appropriate experimental records and documentation
• Analyze results with the Principal Investigator
• Collaborate with postdocs, students, and employees on model development and data analyses
• May mentor/train research associates, technicians, and students. 
• Publish, present, and represent the Zhou lab in journals and conferences.
• Present at lab meetings, and participate in Arc-wide activities (seminars, science socials, symposiums, etc).

Requirements

• Doctorate (MD, PhD) in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Genetics/Genomics. 
• Excellent written and verbal communication skills.
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.

How to Apply

Please submit:

1. CV
2. Brief cover letter describing your research interests, what kinds of projects you’re excited to lead, and why the Zhou Lab is a fit. Please be sure to include contact information for 3+ references.

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

The Jain Lab is looking for motivated, hard-working and curious applicants. At a high level, we study how organisms interact with their environments – how “what we breathe” and “what we eat” affects our metabolism and disease progression. More specifically, we are focused on oxygen and vitamin/cofactor metabolism. We recently discovered that chronic hypoxia (equivalent to living in the mountains of Peru or Nepal) can serve as a therapy for mitochondrial disease. This approach is currently in clinical trials. This work has inspired a broader set of research directions ranging from fundamental biochemistry to animal physiology.

The questions we ask:

1. How do cells and organisms sense oxygen or vitamin levels? Are there novel oxygen sensors and vitamin sensors to be found?
2. How does the body adapt to variations in oxygen levels? Or vitamin levels?
3. When the supply and demand of oxygen or vitamins becomes mismatched, how does this contribute to disease?
4. Can we “turn the oxygen and vitamin dials” as creative new therapies?
5. What is the most practical form of turning these concepts into translatable therapies?

The approach we take: CRISPR screens, metabolomics, classical biochemistry/molecular biology, animal physiology and beyond.

Post-docs will be encouraged to lead independent projects resulting in high impact publications, present at conferences and prepare for long-term careers in academia or industry.

About you

• You are extremely curious and self-motivated to push the boundaries of biomedical research.
• You thrive in a fast-paced environment while conducting rigorous and impactful research.
• You are intellectually independent and are able to design new research directions and projects (with input from your PI).
• You are eager to learn and adapt new techniques.
• You are excited by solving puzzles that have a translational impact. 

In this position you will

• Find new functions for enzymes or cofactors (vitamins)
• Contribute to our molecular understanding of how key metabolites are sensed by the body.
• Develop novel therapeutic strategies for nutrient-based therapies.
• Collaborate with post-docs and students to understand how enzymes and metabolites interact for key biochemical functions.
• Publish, present, and represent that lab in journals and conferences.
• Present at lab meetings, and participate in Arc-wide activities (seminars, symposiums, etc).

Requirements

• PhD in metabolism, animal physiology, molecular biology, biochemistry, genomics, or related field 
• Excellent written and verbal communication skills.
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.

The minimum base salary for this position is $80,000. Base salary for this role is determined by how many months of relevant postdoctoral experience a successful candidate has. Base salary for this role is not negotiable.

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 Postdoctoral Fellow with expertise in human immunology, neurobiology, or neuroimmunology to join the Pluvinage Lab at the Arc Institute. Our goal is to improve the lives of patients with neurological diseases by exploring undiagnosed autoimmunity in rare mystery cases and common neurodegenerative conditions alike.

The questions we ask:

1. How do autoantibodies regulate cognition?
2. What is the source, target, and mechanism of pathogenic autoantibodies in neurological disease?
3. How can we eliminate pathogenic autoantibodies while leaving the rest of the immune system intact?
4. How does comorbid autoimmunity contribute to cognitive decline in neurodegeneration?
5. Are there protective autoantibodies that promote cognitive resilience in healthy brain aging?

The approaches we take: discovery-driven projects starting with human samples (cerebrospinal fluid, PBMCs, brain tissue) from curated cohorts of patients with neurological diseases, CRISPR screens, phage display, immune repertoire sequencing

Postdocs will be encouraged to lead independent projects resulting in high impact publications, present at conferences, and prepare for long-term careers in academia or industry. Clinical residents or fellows interested in physician-scientist pathways are encouraged to apply.

About you

• You have a strong foundation in human immunology, neurobiology, or neuroimmunology and are eager to apply this expertise to translational questions in neurological disease.
• You are extremely curious and self-motivated.
• You thrive in a fast-paced environment while conducting rigorous and impactful research.
• You are intellectually independent and are able to design new research directions and projects (with input from your PI).
• You are eager to learn and adopt new techniques.
• You are excited by solving puzzles that have a translational impact and/or creating new therapeutic approaches. 

In this position you will

• Conduct High-Impact Research: Design, execute, and analyze experiments, taking ownership of a research project within the lab's scientific focus, with guidance from the PI and increasing independence as you develop expertise
• Develop as a Future Scientific Leader: Publish first-author papers in high-impact journals, present your work at national and international conferences, and build a network of collaborators across the Arc Institute and beyond
• Foster Scientific Excellence: Mentor and train research associates, technicians, and students, engage in Arc-wide activities (seminars, symposia, journal clubs); contribute to a collaborative, inclusive research environment; keep rigorous experimental records and documentation; contribute to lab operations, including equipment maintenance and protocol development

Requirements

• Doctorate (MD, PhD, MD/PhD, or equivalent) in immunology, neuroimmunology, neuroscience, genetics, or a related field
• Demonstrated expertise in human immunology or neurobiology, with a strong understanding of immune–nervous system interactions
• Excellent written and verbal communication skills
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player

Preferred Qualifications

• Hands-on experience with pooled genome-scale CRISPR screening
• Proficiency in single-cell immune repertoire sequencing
• Experience working with primary human samples (CSF, PBMCs, or tissue)
• Familiarity with computational analysis pipelines for high-dimensional immunological or single-cell data
• Track record of first-author publications in immunology, neuroscience, or related fields

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

The Horns Lab is seeking motivated, hard-working, and curious scientists. Our lab develops and applies technologies that bridge synthetic biology and genomics to answer fundamental and translational questions in human health, with a particular emphasis on immunology and neuroscience. We build new tools and use them to discover mechanisms in complex, dynamic systems, including the immune system, the brain, and other tissues.

Postdocs in the lab are encouraged to lead ambitious, independent projects, resulting in high-impact publications, and to prepare for long-term careers in academia or industry. You will have the opportunity to collaborate widely across Arc, Stanford, and the broader Bay Area ecosystem, with access to strong platforms in our lab and our institutions for genomics, single-cell technologies, synthetic biology, computation, and experimental model systems.

The questions we ask:

We are interested in how cells change over time and how those dynamics drive health and disease, and in building technologies to measure and control those dynamics. Example questions include:

• How can we measure cellular dynamics non-destructively at scale, capturing histories, interactions, and functional outputs?
• How do extracellular vesicles (EVs) and virus-like particles (VLPs) interact with cells and tissues, and what molecular rules govern secretion, trafficking, uptake, and cargo delivery?
• How can we engineer delivery systems to target specific cell types and achieve efficient cytosolic delivery with minimal off-target effects?
• How do immune cells change state, migrate, and interact with tissues over time during homeostasis, inflammation, and disease?
• How can we profile immune receptor specificity and function at scale (TCRs/BCRs) to decipher immune recognition and control immune behaviors?

The approaches we take:

We combine synthetic biology, genomics, cellular and mammalian models, and computation. Depending on the project, approaches may include:

• Mammalian synthetic biology
• Single-cell and spatial multi-omics
• Engineering and mechanistic study of EVs, VLPs, and other delivery systems
• Immune cell engineering and functional assays
• Sequencing-based measurement technologies
• Computational analysis and modeling of high-dimensional datasets

About you

• You are extremely curious and self-motivated.
• You thrive in a fast-paced environment while conducting rigorous and impactful research.
• You are intellectually independent and enjoy proposing and driving new research directions (with input from your PI).
• You are eager to learn and adopt new techniques.
• You are excited to solve puzzles that have translational impact and/or enable new discovery and therapeutic approaches.
• You have a strong foundation in synthetic biology or genomics technology development, and/or in immunology or neuroscience.

In this position you will

• Conduct high-impact research: Design, execute, and analyze experiments; take end-to-end ownership of a research project within the lab’s scientific focus, with guidance from the PI and increasing independence as you develop expertise.
• Develop as a future scientific leader: Publish first-author papers in high-impact journals, present at national and international conferences, and build a network of collaborators across Arc, Stanford, and beyond.\
• Foster scientific excellence: Mentor and train research associates, technicians, and students; engage in Arc-wide activities (seminars, symposia); contribute to a collaborative research environment; maintain rigorous experimental records and documentation; and contribute to lab operations including protocol development and maintaining shared infrastructure.

Requirements

• Doctorate (PhD, MD, MD/PhD, DVM, or equivalent) in bioengineering, synthetic biology, genomics, immunology, neuroscience, molecular biology, or a related field.
• Excellent written and verbal communication skills, including a track record of scientific writing (manuscripts, preprints, or equivalent).
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.

Preferred Qualifications

Our research group thrives on bringing together people with diverse expertise. The best fit is typically someone strong in at least one area and excited to learn the others. Experience in one or more of the following is a plus:

• Single-cell sequencing and analysis (scRNA-seq, scATAC-seq, CITE-seq)
• Spatial transcriptomics and multi-omics
• Pooled perturbation screens (CRISPRi/a/KO, Perturb-seq)
• Building new sequencing-based assays or new measurement modalities
• Molecular engineering (e.g. protein design and engineering)
• Mammalian synthetic biology (e.g. genetic circuit design)
• High-throughput library design and screening in mammalian cells
• Immune cell biology or engineering
• Immune receptor biology and profiling
• Neurobiology
• EVs, VLPs, or related nanoparticle systems
• In vivo models (e.g. mouse)
• Expertise in analysis of high-dimensional datasets (e.g. single-cell transcriptomics, spatial transcriptomics, pooled screening, using Python or R)
• Strong quantitative mindset

How to Apply

Please submit:

1. CV
2. Brief cover letter describing your research interests, what kinds of projects you’re excited to lead, and why the Horns Lab is a fit. Please be sure to include contact information for 3+ references.

The minimum base salary for this position is $80,000. Base salary for this role is determined by how many months of relevant postdoctoral experience a successful candidate has. Base salary for this role is not negotiable.

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

The Gilbert Lab is looking for motivated, hard-working and curious applicants. Our expertise is in synthetic biology, functional genomics and epigenetics. We have a long standing interest in using CRISPR approaches to control transcription. We are focused on utilizing our expertise to tackle big problems in human biology such as how cellular identity and the epigenome are  determined and maintained. Lastly, we are focused on leveraging our expertise in epigenetics and synthetic biology to design new therapeutic strategies in the context of cancer, viral biology and neurodegeneration.

The questions we ask:

1. How are genes turned on and off?
2. How are mechanisms of epigenetic memory established and maintained?
3. Which genes drive complex disease phenotypes and what are their mechanisms? How can we modulate these for therapeutic means? 
4. How can we use synthetic biology approaches to discover therapeutic strategies and design new gene, protein and small molecule therapeutics?
5. How can we deliver genetic medicines to the right cell types in the body?

The approach we take: CRISPR screens, high throughput synthetic biology, perturb-seq, in vitro disease models including iPSC models and primary cells, in vivo disease models.

Post-docs will be encouraged to lead independent projects resulting in high impact publications, present at conferences and prepare for long-term careers in academia or industry.

About you

• You are extremely curious and self-motivated to push the boundaries of biotechnology and/or biomedical research.
• You thrive in a fast-paced environment while conducting rigorous and impactful research.
• You are intellectually independent and are able to design new research directions and projects (with input from your PI).
• You are eager to learn and adapt new techniques.
• You are excited by solving puzzles that have a translational impact and/or creating new therapeutic approaches. 

In this position you will

• Design, perform and analyze experiments 
• Keep appropriate experimental records and documentation
• Analyze results with the Principal Investigator
• General lab maintenance as well as operation and maintenance of equipment and instruments.
• Collaborate with post-docs, students and employees
• May mentor/train research associates, technicians, and students. 
• Publish, present, and represent that lab in journals and conferences.
• Present at lab meetings, and participate in Arc-wide activities (seminars, symposiums, etc).

Requirements

• Doctorate (MD, PhD, VMD, or DDS) in the area directly related to the field of research specialization. 
• Excellent written and verbal communication skills.
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.

The minimum base salary for this position is $80,000. Base salary for this role is determined by how many months of relevant postdoctoral experience a successful candidate has. Base salary for this role is not negotiable.

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're looking for a Full Stack Engineer with a backend and internal tools focus to help build the software infrastructure that powers science at Arc. You'll own and develop platforms that Arc's researchers rely on daily, from genomics submission systems to data catalogs to ML tooling, while contributing to public-facing products like the Virtual Cell Challenge. This is a hands-on, cross-functional role where you'll work directly with biologists, bioinformaticians, and ML engineers to understand their workflows and build tools that become essential to how researchers work.

About you

• You thrive at the intersection of engineering and domain expertise, building tools that make complex scientific workflows feel simple.
• You have a sharp eye for inefficiency and don't wait to be told what to build. You proactively seek out friction in workflows, talk to users, and propose solutions.
• You’re comfortable collaborating across disciplines, working with researchers, designers, and other stakeholders to clarify needs, define scope, and build intuitive, elegant tools.
• You’re a strong communicator and a self-directed builder who enjoys taking ownership, iterating quickly, and learning on the fly.
• You care about clarity and craft, writing clean code and building interfaces that balance usability, performance, and simplicity, without over-engineering.

In this position you will

• Own and evolve the Virtual Cell Challenge backend, including authentication, metrics pipelines, and participant analytics
• Build and maintain Arc's internal Genomics platforms, including NGS submission, sample tracking, and QC automation
• Architect and develop an internal Data Catalog for browsing, searching, and interacting with rich datasets across the Virtual Cell Atlas and other research programs
• Build tooling and infrastructure to support Arc's ML engineering workflows such as model registries, experiment tracking, and inference pipelines
• Own backend services for Arc's Imaging platform, supporting microscopy and spatial data workflows
• Collaborate directly with scientists and computational researchers to identify pain points and ship solutions with a product mindset

Requirements

• 4+ years of experience in backend or full-stack engineering roles, with a Bachelor's degree in Computer Science, Biology, Bioinformatics, or a related field
• Proficiency in Python or Node.js and modern API frameworks such as FastAPI, Flask, or Express
• Strong experience with relational databases (PostgreSQL preferred), including schema design, query optimization, and data modeling
• Proficiency with AI-assisted development tools (Claude, Cursor, Copilot, or similar) as a core part of your workflow
• Experience building internal apps and tools for scientific/technical users

Preferred Qualifications

• Experience with scientific data formats and tools (e.g., h5ad/AnnData, pandas, NumPy, scverse ecosystem)
• Familiarity with cloud infrastructure (GCP, AWS, or Azure)
• Experience with CI/CD pipelines, Docker, and containerized deployments
• Familiarity with modern JavaScript/TypeScript and frameworks such as Next.js and React

The base salary range for this position is $133,000 to $165,000. 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.

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 an independent and analytical FP&A Manager to join our Financial Planning & Analysis (FP&A) team. This critical role will partner closely with key budget owners in our Technology Centers and Core Labs, driving the annual budgeting process, project-specific forecasting, and strategic decision-making. The ideal candidate will possess a strong foundation in financial modeling, experience at a science organization, and a proven ability to translate data into actionable insights for leadership.

About You

• You are deeply analytical with a knack for effectively communicating that information visually and verbally
• You are a team player; you like to work as a team to help people get their jobs done
• You are detail-oriented and have a passion for organized processes and structured systems 
• You are familiar with our science and motivated about Arc’s mission
• You are a life long learner

In this position, you will

• Lead the development and presentation of Arc’s annual operating budget, long-range strategic plans, and forecasts for our Institute Initiatives, research labs, and operational units.
• Partner directly with budget owners (specifically CSO, CTO, and COO organizations) to ensure financial plans align with strategic goals and provide detailed variance analysis against prior forecasts and budget.
• Develop scenario-driven financial models for key Institute Initiatives, new scientific programs, and capital expenditures.
• Drive continuous improvement in FP&A processes, reporting automation, and financial system utilization (e.g., Netsuite, Prendio).
• Support strategic vendor negotiations to reduce our operational costs.

Requirements

• Bachelor's degree in Finance, Economics, or a related quantitative field and 5-8 years of experience in a demanding finance or analytical role.
• Demonstrated experience leading and executing the core functions of corporate FP&A, including budgeting, forecasting, and reporting, ideally within a fast-paced Technology or Biotechnology company.
• Prior experience as an Investment Banking Analyst (2-3 years) OR experience as a Consultant at a major/large consulting firm program (2-3 years). This experience must have provided deep exposure to financial analysis, rigorous modeling techniques, and effective communication of data.
• Exceptional proficiency with spreadsheets (advanced modeling, pivot tables, lookups, chart visualizations). 

Preferred Qualifications

• Educational background (e.g., degree or advanced coursework) or professional experience in the Biosciences, Biotech, and/or related fields is highly desirable.
• Experience with financial planning systems (e.g., Netsuite Planning, Adaptive Planning) is a plus.

The base salary range for this position is $116,750 to $144,000. 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.

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 Research Associate I to join the Arce Lab at the Arc Institute. In this role you will support ongoing research in the lab through experimentation and organizational contributions. You will work closely with the PI to pursue scientific questions about the immune system in an effort to better understand and treat immune mediated diseases. As you progress in the role, you will have the opportunity to independently lead sub-projects under the guidance of other lab members. This position is ideal for someone seeking hands-on experience with biomedical research in a fast paced environment.

About you

• You are a self-motivated individual with a strong work ethic.
• You pride yourself on the quality of your work and avoid taking shortcuts that may limit outcomes.
• You are excited by the opportunity to discover new biology and learn something new each day.
• Helping out a colleague gives you self-gratification.
• You take initiative to resolve problems as they arise and are motivated by challenges and opportunities to grow.

In this position you will

• Support a diverse range of experiments through general reagent maintenance and sample processing
• Help maintain lab organization and implement process improvements to enhance efficiency and safety
• Perform mammalian cell culture, including cell isolation from human blood samples
• Execute CRISPR gene editing experiments in an arrayed and pooled screening format using lentiviral and mRNA delivery
• Contribute to molecular biology and genomic workflows, including plasmid construction, PCR, western blots, DNA/RNA isolation, and sequencing library preparation
• Write and update standard operating procedures for lab protocols and processes as you gain expertise

Requirements

• Bachelor's degree or equivalent experience in Biology, Molecular Biology, Biochemistry or related field
• 1-2 years of laboratory experience (academic or industry setting)
• Familiarity with standard molecular biology techniques
• Competent multitasker with diligent note taking skills
• Proficiency with basic computer skills, including data entry, spreadsheets, and document preparation.
• Comfortable with lab relevant mathematics including dilution calculations and conversions
• Effective communicator and team player

Preferred Qualifications

• Experienced with mammalian tissue culture
• Experience with RNA and DNA isolation and downstream assays

The hourly rate for this position is $29.00. This amount does not include benefits or other forms of compensation.

About Arc Institute

The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.

While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:

• Funding: Arc fully funds Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.
• Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize, and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators. 
• Support: Arc aims to provide first-class support—operationally, financially, and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.
• Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.

Arc has scaled to over 350 people to date. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.

About the position

We are seeking a highly skilled and motivated Scientist to join the Horns Lab at the Arc Institute. In this position, you will lead the development of a novel platform for mapping human antibody specificities at scale. You will play a critical role in building, optimizing, and applying a system for high-throughput identification of antigen-specific B cells and their antibody sequences through single-cell sequencing. Your work will directly impact our understanding of human immunity and the discovery of new antibodies.

The successful candidate will develop and scale this antibody discovery platform within the Horns lab at the Arc Institute. This work will initially focus on optimizing antigen-specific B cell isolation, establishing single-cell sequencing readouts, and scaling to multiplexed screens. In the longer term, this platform will be applied to comprehensively profile human immune repertoires for understanding human immunology in health and disease.

The candidate will collaborate with other members of Arc’s labs and Technology Centers in a dynamic environment to drive scientific discoveries, including groups within Arc Institute who are leaders in RNA biology, single-cell genomics, and AI/ML. The ideal candidate would have a passion for cutting-edge technology development and a proven track record of working in an interdisciplinary environment and turning concepts into reliable methods and results. This is an excellent opportunity for an ambitious self-starter who is motivated to apply his/her skills to diverse projects and enjoys working in a collaborative, fast-paced team environment.

About you

• You are passionate about science and understanding human immunity through the lens of new technology.
• You are excited to build new platforms for antibody discovery and immune repertoire analysis.
• You are creative and eager to explore new approaches beyond the techniques you are familiar with. You enjoy stepping out of your comfort zone to learn new things and develop new experimental approaches.
• You work fast, yet are diligent and detail-oriented. You are good at troubleshooting. You are careful about good documentation practices and keeping things organized while moving at a rapid pace.
• You excel at organization, time management, and task prioritization, and enjoy driving multiple projects in parallel.
• You love to collaborate and help others. Science is a team effort, and you pride yourself in taking the initiative to help.

In this position you will

• Develop and optimize a platform for antigen-specific B cell labeling, sorting, and single-cell sequencing.
• Design and execute validation experiments, including specificity testing and antibody cloning and binding confirmation.
• Scale the platform to multiplexed antigen libraries for immune repertoire profiling.
• Analyze single-cell sequencing data computationally, including developing analysis pipelines.
• Apply these technologies to answer questions in human immunology.
• Embrace the opportunity to creatively collaborate with Technology Centers and other laboratories.
• Maintain accurate and detailed records of experimental protocols, results, and conclusions.
• Present key research findings at internal meetings and seminars, and external conferences.
• Provide guidance and mentorship to Research Associates.
• Stay updated on advancements in the field of single-cell genomics, antibody biology, and immune repertoire analysis by reading the literature and attending conferences.

Requirements

• PhD in immunology, molecular biology, genomics, bioengineering, or a related field with 0-5 years of relevant post-PhD experience in either academia or industry.
• Deep experience with single-cell sequencing technologies for immune profiling (e.g. 10X Genomics VDJ workflows).
• Demonstrated track record of developing or adapting sequencing-based assays, with strong troubleshooting skills.
• Strong background in antibody biology, B cell immunology, or adaptive immune repertoire analysis.
• Proficiency in flow cytometry, including multi-parameter panel design, optimization, and cell sorting.
• Experience with antigen-binding characterization assays (e.g. ELISA, SPR, BLI).
• Proven ability to analyze large and complex sequencing data sets using Python, R, or similar tools.
• Experience with mammalian cell culture and standard molecular biology techniques (cloning, construct design).
• Strong project management skills with the ability to plan, execute, and deliver results on time. 
• Excellent written and verbal communication skills.
• Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.

Preferred Qualifications

• Experience with antigen-barcoded B cell sequencing approaches (e.g. LIBRA-seq, CITE-seq) is a plus.
• Experience with antigen-specific cell sorting using labeled antigen probes (e.g. tetramer staining) is a plus.
• Experience with human primary immune cell isolation and culture is a plus.
• Experience with library design, pooled cloning, or high-throughput screening approaches is a plus.
• Experience with protein biochemistry (expression, purification) is a plus.
• Experience with machine learning approaches for sequence-function prediction is a plus.

The base salary range for this position is $121,250 to $159,500. 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.