Responsibilities:

• Be the first point of contact for employees and managers on benefits, payroll, systems, and programs
• Own new hire onboarding, from preboarding and paperwork to day-of hosting and swag
• Own offboarding, including exit notices to Facilities, IT, and Accounting, and equipment return tracking
• Maintain accurate employee records in HRIS and related systems
• Work with Payroll and Benefits partners to manage benefits enrollment and changes in status
• Support immigration casework, including verification of employment requests and coordination with outside counsel
• Support program leaders in running people programs

Requirements:

• 1+ year of experience as a coordinator or supporting people operations and/or human resources
• Detail-oriented with strong communication skills
• Comfortable with new technology and open to AI innovation and efficiency
• Service-minded with a focus on creating a positive experience for employees
• Experience with an HRIS (HiBob a plus)
• Experience owning and contributing towards a new hire program

Preferred qualifications:

• Familiarity with I-9 compliance and employment verification
• Exposure to immigration processes (H-1B, PERM, J-1)
• Experience with payroll systems (S1/Prism a plus)
• Experience in a biotech, research, or fast-growing environment

The base salary range for this position is $37.36 - $41.49/hr.

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Responsibilities:

• Perform routine TC room upkeep on a set schedule
• Stock TC rooms and lab benches with consumables and reagents
• Perform scheduled incubator and BSC decontaminations
• Receive and unbox large vendor orders
• Work alongside the Lab Manager to provide agile support to Tech Center teams
• Coordinate shipping of samples and equipment
• Communicate clearly with lab members
• Contribute to process improvement
• Play an active role in maintaining a safe work environment

Requirements:

• 1+ years of experience in a lab operations or research setting
• Strong attention to detail and organizational skills
• Ability to multi-task and prioritize
• Resourceful, proactive, and self-initiating
• Effective written and verbal communication skills
• Proficiency with Google Workspace and/or Microsoft Office Suite
• Ability to stand and walk for extended periods
• Must have the ability to lift 50 pounds

Preferred Qualifications:

• Experience with incubator or biosafety cabinet decontamination
• Familiarity with cold chain handling
• Experience with shipping and receiving
• Experience with project management tracking tools
• Familiarity with Benchling and/or inventory management systems

The hourly rate range for this position is $25 - $31 per hour.

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You'll join Arc's Infrastructure Engineering team and own the data and evaluation of ML infrastructure for Arc's virtual cell models. You'll start with two systems: our Model Performance Dashboard, which benchmarks those models, and the pipeline that turns single-cell data into their training sets.

Responsibilities

• Own how Arc measures the performance of its virtual cell models, starting with the backend of our Model Performance Dashboard, which you'll take over within your first two months.
• Decide with the ML team which evaluation tools they need, then design and build them so researchers can evaluate and compare models themselves, and measure what each dataset version does to model performance.
• Redesign the pipeline that turns single-cell data into training sets for our virtual cell models, then run it with AI agents: agents find, process and curate datasets, and automated quality checks, not manual review, decide whether a dataset version is ready for model training.
• Own the lab-in-the-loop infrastructure that turns model performance results into the case for what Arc's labs should test next, working directly with the science leads who design those experiments.
• Build or buy validation frameworks (tests, evals, QC gates, policies) that let agent-written code and apps ship without line-by-line human review.
• Own the engineering that makes the ML team's training and evaluation run fast, reliably and at scale.

Requirements

• Bachelor’s degree with 8 years of relevant experience, or Master’s degree with 6 years of relevant experience.
• You've owned a production data or ML platform that researchers depend on, end to end (pipelines, storage, versioning), and set its technical direction.
• You design and build systems with AI tools and agents, and you make their output verifiable with evals, QC gates or tests before anyone relies on it.
• You've learned an unfamiliar technical domain well enough to make design calls in it.
• You work directly with stakeholders to find requirements, with no PM in between.
• You make the people around you better through code review, pairing and writing patterns down.
• You've diagnosed and fixed performance problems in Python or PyTorch systems with profilers and measurements: GPU utilization, memory, data loading.
• Work onsite in our Palo Alto office at least 3 days a week.

Preferred Qualifications

• You've worked with single-cell or perturbation data (AnnData/h5ad).
• You've built or run model evaluations: benchmarks, eval harnesses, PyTorch/GPU inference.
• You've run multi-node distributed training (DDP/FSDP, NCCL, SLURM) or raised a training job's throughput.
• You've led an effort with one or two other engineers.

Benefits

• The base salary range for this position is $191,000 to $237,000.
• This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.
• You will be eligible to participate in the Institute’s Compound Cash Grant Program (the “CCGP”).

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The LIMS is used by Arc's scientists to record samples and experiments, including variables changed between experiments. Your role involves running the request queue, making schema changes, training users, and maintaining data checks.

You don't need LIMS experience; strong Python and SQL skills and an interest in lab data are essential. You'll start under the lab platform Tech Lead, who will review your work and mentor you.

Key responsibilities:

• Run the request queue for Arc's lab data systems
• Support templates scientists use to record experiments and command-line tools for data analysis
• Conduct training sessions for scientists and write documentation
• Build and maintain checks for errors in data entry
• Help refactor the team and permission structure in the LIMS
• Automate recurring requests

By the end of your first year, you will:

• Build tools for querying screen and experiment metadata
• Run the request queue and ship schema changes independently
• Own a part of the lab platform from design through support

The base salary range for this position is $118,000 to $146,000. The actual base compensation paid may vary depending on factors such as experience and market conditions.

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Responsibilities:

• Execute staggered rounds of lentivirus production using suspension and/or adherent systems.
• Concentrate, filter, and aliquot virus into single-use aliquots, and perform quality control on each lot.
• Help coordinate cross-functionally to forecast demand in advance, scaling and scheduling each round of production accordingly.
• Maintain rigorous, organized documentation of production runs, titer/QC outcomes, and viral inventory and distribution.
• Perform troubleshooting on failed productions, escalate and reschedule as needed.
• Maintain inventory of key reagents, media, and consumables to ensure uninterrupted production.
• Help establish, refine, and run an efficient end-to-end viral production platform.
• Contribute to process optimization aimed at improving the scale, quality, and lot-to-lot consistency of production.

Requirements:

• BS degree in relevant field with 4+ years of relevant experience, or MS degree in relevant field with 2+ years of relevant postgraduate experience.
• Proficiency in mammalian cell culture procedures and associated aseptic techniques.
• Direct hands-on experience producing lentivirus at scale using suspension and/or adherent systems.
• Demonstrated ability to execute reproducible, multi-step production protocols consistently across repeated rounds.
• Experience with viral titration and QC methods.
• Experience with filtering, single-use aliquoting, cryopreservation, and inventory management of viral stocks.
• Meticulous documentation and record-keeping; comfort working to a production schedule.
• Excellent communication skills and the ability to coordinate effectively across teams.

Preferred Qualifications:

• Experience developing or leveraging automation for viral production and/or titration at scale.
• Prior experience independently optimizing processes and workflows to improve viral yield, quality, and consistency.
• Hands-on experience with multiple viral production systems and protocols.
• Experience producing lentivirus in arrayed formats as well as large-scale pooled-library formats.
• Experience managing external vendor relationships for cloning and plasmid preps.

The base salary range for this position is $84,250 to $106,000.

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In this position, you will play a key role in executing protocols to efficiently and reproducibly build and characterize complex 3D models of CNS cells, and leverage these to run high throughput assays and screens.

Responsibilities:

• Execute culture, quality control and validation of complex in vitro 3D neural and glial models.
• Support the execution of high throughput arrayed chemical and genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc.
• Leverage in vitro cell-based assays (flow cytometry, imaging, immunostaining, etc.) and molecular biology techniques to characterize the functional effects of genetic and chemically perturbed cells within these models.
• 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.
• Collaborate with other teams at Arc to coordinate screening steps and sample transfer.
• Analyze and present experimental data at internal meetings and seminars.

Requirements:

• BS degree in relevant field with 4+ years of relevant experience, or MS degree in relevant field with 2+ years of relevant postgraduate experience.
• Substantial experience culturing and maintaining human PSC-derived cell types or organoids (NPCs, neurons, astrocytes, microglia, or similar).
• Demonstrated ability to execute multiple cell culture protocols with precision.
• Familiarity with maintaining and tracking complex in vitro co-cultures using assays such as imaging, flow cytometry, qPCR, proteomics and transcriptomics-based readouts.
• Excellent aseptic technique and consistent cell-culture practice.
• Meticulous documentation and record-keeping.

Preferred Qualifications:

• Hands-on experience handling high throughput plate formats and automation methods.
• Experience with LIMS systems, ideally Benchling.
• Experience analyzing large data sets preferably using data scripting tools such as Python or R.

The base salary range for this position is $84,250 to $106,000.

Job Data by YubHub.

In this position, you will facilitate core workflows across the team's genetic perturbation screening pipelines, including stem cell culture, HPC/microglia differentiation, and viral transduction. You will support a range of downstream screening and validation efforts, gaining broad exposure to the end-to-end pipelines that power the Institute's Alzheimer's Disease Initiative.

The ideal candidate will have experience and proficient skills in stem cell culture and functional characterization of perturbed cells, with expertise in implementing, running, and troubleshooting workflows with outstanding attention to detail.

Responsibilities:

• Execute routine stem cell culture and differentiation protocols.
• Conduct and optimize medium- to high-throughput lentiviral transduction-based experiments to introduce arrayed genetic perturbations into engineered cell lines.
• Leverage in vitro cell-based assays and molecular biology techniques to characterize the functional activity of genetically perturbed cells.
• Support the cross-functional execution of arrayed and pooled genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc.
• Maintain careful records 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 at internal meetings and seminars.

Requirements:

• BS degree in relevant field with 4+ years of relevant experience, or MS degree in relevant field with 2+ years of relevant postgraduate experience.
• Relevant lab experience including demonstrated and proficient skills for stem cell and progenitor cell culturing and routine characterization.
• Experience running and analyzing flow cytometry experiments.
• Experience with LIMS systems, ideally Benchling.
• Detail-oriented with excellent organizational and time management skills.
• Strong oral and written communication skills.

Preferred Qualifications:

• Experience differentiating hPSCs into neural or immune lineages.
• Experience with plate-based or automation-compatible screening workflows.
• Familiarity with CRISPR-Cas9 or other genome editing or genetic perturbation techniques.
• Proficiency and experience with molecular cloning, virus production, and cell line engineering.

The base salary range for this position is $84,250 to $106,000.

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The core of the role is building a new team and the workflows that carry validated targets through hit to lead progression and into IND enabling studies. Alongside that build, this leader will direct Arc's existing in vivo and advanced cellular model teams to identify and validate novel targets, partnering with Arc's computational technology center to apply causal modeling and assemble a prioritized portfolio.

The role also looks outward, drawing on expertise across the Arc community and engaging the broader Alzheimer's disease field so that the Initiative both learns from and contributes to progress beyond Arc.

Responsibilities:

• Build a new team to carry validated targets through drug discovery into preclinical programs.
• Guide those programs through to lead optimization, partnering with chemistry and ADI model teams to prioritize candidates and generate in vitro and in vivo proof of concept data.
• Lead target discovery for the Initiative, translating genetic, functional genomics, and disease mapping findings into biologically grounded therapeutic targets.
• Lead Arc's existing in vivo and in vitro ADI discovery teams, shaping their work to sharpen target identification and validation.
• Partner with computational biology and machine learning teams to surface new pathway insight, apply causal modeling to test target hypotheses, and draw on patient genetics and sample databases to validate and prioritize candidates.
• Align priorities across the target discovery and preclinical teams so concurrent programs move in a coordinated way.
• Collaborate across the Arc community to coordinate experimental approaches and analysis, and to deepen our collective understanding of Alzheimer's disease biology.
• Manage CRO and external partner relationships, with support from Program Management, to advance AD model generation and preclinical studies.
• Represent discovery and preclinical strategy in cross functional target review and portfolio prioritization discussions.

Requirements:

• PhD in neuroscience, immunology, cell biology, genetics, pharmacology, or a related field.
• Extensive experience leading target discovery in neurodegeneration, from disease biology and human genetics through target validation.
• Track record advancing programs from validated target through lead optimization, in vivo proof of concept, and IND enabling studies, including building or partnering with the supporting toxicology and pharmacokinetics capabilities.
• Deep expertise developing or applying advanced 3D cellular models of neurodegenerative disease.
• Proven people leadership, including mentoring established scientific teams, building new teams and capabilities from the ground up, and running matrixed, cross functional programs.
• Strong partnership with computational biology and machine learning teams, applying causal modeling and human genetic data to target discovery and validation.
• Experience in a fast paced biotech or nonprofit research institute environment.
• Ability to work onsite in our Palo Alto office a minimum of four days per week.

Preferred Qualifications:

• Direct experience in Alzheimer's disease drug discovery.
• Hands-on experience generating and validating animal models of Alzheimer’s disease, including genetic risk variant models such as APOE4 and TREM2.
• Experience integrating computational and machine learning driven target prioritization into discovery strategy.
• Experience partnering with high throughput biology teams.

The base salary range for this position is $263,500 to $325,500.

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The ideal candidate has a passion for developing technologies and robust systems and has a track record in spatial publications or product development. The role will split between system characterization/improvement and spatial multiomic (mRNA + protein + sgRNA) chemistry/workflow optimization/ execution.

Responsibilities:

• Design and execute system testing and validation plans for the current custom in-house spatial imaging platform.
• Work directly with external vendors to troubleshoot and resolve hardware and software issues.
• Collaborate with the spatial omics project lead and internal partners to optimize spatial multiomic chemistry and sample-prep workflows for human stem-cell-derived brain organoids, adapting protocols validated in mouse tissue.
• Execute end-to-end wet lab spatial perturb-seq workflows.
• Collaborate with computational scientists to analyze imaging QC data and drive iterative assay development and decision-making.
• Track progress against key milestones and report on progress in internal meetings.

Requirements:

• PhD in molecular biology, biochemistry, genomics, bioengineering, or a related field, with 2-5+ years of experience in academia or the biotechnology industry.
• Extensive experience in spatial omics technology and/or product development.
• Hands-on experience with custom imaging and/or fluidic systems, including instrument troubleshooting.
• Hands-on experience with tissue or organoid sample prep and in situ imaging-based assays (e.g., HCR, MERFISH, seqFISH, RCA, in situ sequencing).
• Comfortable working in a fast-paced, early-stage technology development environment with substantial hands-on troubleshooting.
• Strong collaboration and communication skills across multiple teams.
• Strong project management and documentation skills.

Benefits:

• Base salary range: $128,500 to $182,500

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Responsibilities:

• Design, build, and validate molecular reporters that measure how efficiently delivery vehicles enter cells and release cargo.
• Design and construct pooled libraries of engineered delivery vehicles and cellular components, and execute screens with sequencing-based readouts.
• Scale the platform from proof-of-concept to large multiplexed screens, and apply it to discover and engineer improved delivery vehicles.
• Design and execute validation experiments, including orthogonal assays and characterization of individual hits.
• Analyze sequencing data computationally, including developing analysis pipelines.
• Collaborate with lab members developing complementary screening platforms.
• 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 functional genomics, synthetic biology, and drug delivery by reading the literature and attending conferences.

Requirements:

• PhD in cell or molecular biology, genetics, biochemistry, bioengineering, or a related field with 0-5 years of relevant post-PhD experience.
• Deep hands-on experience in pooled screening with end-to-end ownership.
• Demonstrated track record of developing and validating novel quantitative molecular assays.
• Fluency with mammalian cell culture and cell engineering.
• Proficiency with flow cytometry.
• Ability to analyze large and complex data sets using Python, R, or similar tools.
• Strong quantitative aptitude and rigorous approach to experimental design.
• Strong project management skills with the ability to plan, execute, and deliver results on time.
• Excellent written and verbal communication skills.

Preferred Qualifications:

• Experience with mammalian synthetic biology, protein engineering, directed evolution, or deep mutational scanning.
• Experience with relevant cell biology or virology.
• Experience with computational protein design or genome mining.
• Experience with animal handling and procedures.

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

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We are hiring for two Scientist positions on Arc's Computational Technology Center, each turning large-scale perturbational and single-cell datasets into mechanistic biological insight.

Responsibilities

• Conduct tertiary analyses of large-scale Perturb-seq, single-cell sequencing, multi-omic, and functional genomics datasets to identify functional relationships between genes, regulatory programs, and cellular phenotypes.
• Partner with experimental teams on iterative study design, analysis, interpretation, and validation, discovering computational insights that translate into testable biological hypotheses.
• Work closely with bioinformatics and data infrastructure teams to define clean handoffs from primary and secondary analysis into exploratory and mechanistic modeling.
• Contribute to Arc's Virtual Cell and Alzheimer's Disease Initiatives by generating, analyzing, visualizing, and interpreting datasets that fuel predictive models.
• Develop reusable analysis notebooks, dashboards, software tools, benchmarks, and data resources that allow Arc scientists to explore complex datasets effectively.
• Present findings to internal stakeholders, and contribute to preprints or open-source projects when the opportunity arises or as needed.
• Mentor colleagues and interns and contribute to a collaborative, intellectually rigorous team environment.

Requirements

• PhD in computational biology, bioinformatics, genomics, systems biology, machine learning, computer science, molecular biology, or a related field, with 0–4 years of postdoctoral or professional research experience.
• Demonstrated track record of deriving biological insight from large-scale single-cell, perturbational, or multi-omic datasets.
• Hands-on experience with single-cell, perturbational, or multi-omic data, e.g. single-cell RNA-seq, Perturb-seq or CRISPR screens, single-cell ATAC-seq or multiome, including tertiary analysis, such as gene regulatory network inference, perturbation-effect or interaction modeling.
• Expertise in at least one of the following:
• (a) Perturb-seq / CRISPR screen analysis at scale, including guide assignment, perturbation-effect estimation, interaction modeling, batch correction, and interpretation of pooled genetic screens;
• (b) Single-cell analysis of microglia, in the context of neurodegeneration and Alzheimer's disease biology.
• Python proficiency, with experience using modern scientific computing and data analysis ecosystems.
• Familiarity with reproducible computational workflows, version control, and high-performance or cloud computing environments.
• Biological intuition and the ability to collaborate effectively with experimental scientists.
• Excellent written and verbal communication skills, with a track record of publications, preprints, open-source tools, or other scientific outputs.
• Ability to work in a fast-paced, ambitious, interdisciplinary research environment.
• Work a minimum of 3 days onsite in our Palo Alto office.

Preferred qualifications

• Background in cell identity, reprogramming, RNA biology, cell engineering, neurobiology, immunology, cancer biology, or complex disease genetics.
• Familiarity with dimensionality reduction and gene module analysis techniques in the context of single-cell biology.
• Experience in a startup, technology center, research institute, or other highly collaborative environment where scientific direction and technical execution are tightly coupled.

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You will work closely with senior lab members to drive high-throughput antibody discovery in autoimmune neurology and neurodegeneration. Your work will contribute across the full experimental workflow: designing constructs and libraries, cloning and validating reagents, executing screens across several protein display technologies, and analyzing and validating discoveries.

Responsibilities:

• Build Discovery Reagents: Work with senior lab members to design DNA constructs and protein display libraries; perform molecular cloning, sequence verification, and quality control of constructs and libraries.
• Execute High-Throughput Screens: Prepare reagents and patient samples, carry out antibody discovery and antigen-identification workflows across multiple protein display platforms, and maintain rigorous controls and sample tracking throughout.
• Analyze and Validate Discoveries: Process screening data using established analysis workflows, assess data quality and reproducibility, and work with senior lab members to prioritize hits and validate antibody–antigen interactions using complementary assays.
• Develop and Optimize Workflows: Work with senior lab members to troubleshoot experiments, compare assay conditions, and help improve the sensitivity, specificity, throughput, and reproducibility of discovery methods.
• Maintain Research Quality: Keep complete experimental records, document protocols and analysis steps, and maintain organized inventories of samples, constructs, libraries, and reagents.
• Contribute to a Collaborative Lab: Communicate progress at lab meetings, coordinate experiments with senior lab members and collaborators, and contribute to shared lab operations, equipment maintenance, and protocol training.

Requirements:

• Bachelor’s or master’s degree in molecular biology, biochemistry, bioengineering, immunology, genetics, or a related field, or equivalent relevant laboratory experience.
• 2+ years of relevant experience in an academic or industry setting (including independent lab work during your undergraduate studies).
• Hands-on research experience in molecular biology
• Demonstrated ability to execute multistep experimental protocols accurately, use appropriate controls, and maintain clear and complete laboratory records.
• Growth mindset to stretch your scientific skillset in a supportive environment, and the awareness to know when to ask for help.
• Strong attention to detail and organizational skills, including careful tracking of samples, reagents, and experimental conditions.
• Excellent communication skills and the ability to work both independently on established workflows and collaboratively with senior scientists.
• Commitment to rigorous, reproducible research and a strong interest in antibody discovery and its diagnostic applications.

The base salary for this position is $75,900.

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This role will focus on hiring across several of our Technology Centers, including but not limited to multi-omics, genome engineering, cellular modeling, mammalian disease modeling, and computational biology.

Our ideal candidate brings a broad scientific recruiting background, experience hiring for leadership positions, and is deeply aligned with our mission and excited to curate an amazing candidate experience.

Responsibilities:

• Own the full cycle recruiting process for various roles across Arc's Technology Centers, building robust pipelines through active multi-channel sourcing, resume screening, interviewing, and offer closing.
• Build strong relationships with a wide range of hiring managers across functions and seniority levels, acting as a trusted advisor throughout the recruiting process.
• Contribute to building and iterating on efficient, scalable recruiting processes alongside the broader recruiting team.
• Represent Arc's mission and values with every candidate interaction.

Requirements:

• BS/BA degree and 8+ years of full cycle life sciences recruiting;
• Demonstrated experience owning a diverse portfolio of roles across scientific functions and levels, including direct experience hiring for senior and leadership roles;
• Experience recruiting within relevant biology areas;
• Strong sourcing and closing skills, with a track record of attracting and converting passive candidates;
• Proven ability to manage and influence stakeholders across functions and levels;
• Track record of acting as a true hiring partner;
• Proficiency with an ATS and a commitment to data integrity;
• Familiarity with sourcing and CRM tools;
• Strong analytical mindset and exceptional attention to detail.

Benefits:

• Base salary range: $150,000 to $186,000;
• Annual discretionary bonus;
• Compound Cash Grant Program.

Job Data by YubHub.

Responsibilities:

• 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
• Publish, present, and represent the Zhou lab in journals and conferences

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

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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.

Your work will have the potential to uncover novel autoantibodies that drive cognitive decline in autoimmune encephalitis, that modulate cognitive decline in dementia, and that promote cognitive resilience in healthy brain aging.

Responsibilities:

• 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, neurobiology, or computational biology 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

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The researcher will conduct high-impact research, designing, executing, and analyzing computational experiments. They will take end-to-end ownership of a research project within the lab's scientific focus, with guidance from the PI and increasing independence as they develop expertise.

Key responsibilities include:

• Conducting high-impact research in machine learning for biological understanding and design
• Developing and applying frontier approaches such as novel ML architectures, post-training, agentic reasoning, and more
• Collaborating widely across Arc, Stanford, and the broader Bay Area ecosystem
• Publishing first-author papers in high-impact journals and presenting at national and international conferences
• Mentoring and training research associates, technicians, and students

Requirements:

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genetics/Genomics
• Expertise with Python, bash, and standard deep learning frameworks such as PyTorch
• 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
• Track record of creative, high-impact research as demonstrated by publications, patents, developed tools, software, etc.

The minimum base salary for this position is $80,000, determined by relevant postdoctoral experience.

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The Jain Lab focuses on understanding how organisms interact with their environments, particularly in relation to oxygen and vitamin/cofactor metabolism. The lab has recently made significant discoveries regarding the therapeutic potential of chronic hypoxia for mitochondrial disease, which is currently in clinical trials.

As a Postdoctoral Researcher in the Jain Lab, you will:

• Explore new functions for enzymes or cofactors (vitamins)
• Contribute to the 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 enzyme and metabolite interactions
• Publish, present, and represent the lab in journals and conferences
• Participate in lab meetings and Arc-wide activities

The ideal candidate will have:

• A PhD in metabolism, animal physiology, molecular biology, biochemistry, genomics, or a 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, determined by relevant postdoctoral experience.

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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.

As a Postdoctoral Researcher in the Horns Lab, you will conduct high-impact research, design, execute, and analyze experiments, and 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.

Responsibilities:

• Conduct high-impact research: Design, execute, and analyze experiments;
• 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;

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:

• 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)

Benefits:

• The minimum base salary for this position is $80,000.

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The ideal candidate is curious, creative, and ambitious, with a vision of programming biology and building tangible products that impact everyday lives. The researcher will conduct high-impact research, design and execute experiments, and analyze results. They will also develop as a future scientific leader, publish first-author papers, and present at national and international conferences.

Responsibilities include:

• Conducting high-impact research
• Developing as a future scientific leader
• Fostering scientific excellence

Requirements:

• Doctorate (MD, PhD, or equivalent) in a relevant life sciences or engineering field
• Excellent written and verbal communication skills
• Demonstrated ability to work in a fast-paced environment
• Track record of creative, high-impact research

The minimum base salary for this position is $80,000, determined by relevant postdoctoral experience.

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You will be leading our People Operations team and partnering with the Head of People and People Partner team to deliver our Compensation program.

Responsibilities:

• Lead our People Operations team: Drive AI-native operations across the People function by implementing technology-driven solutions with a great employee experience. Oversee the core work of the People Ops team (onboarding, offboarding, processing employee changes, etc.). Serve as escalation point for complex operational issues, benefits decisions, and compensation situations. Manage the relationship with our PEO to deliver our benefits program and ensure compliance throughout our operations. Lead our benefits strategy, ensuring our benefits package is competitive and supports our team. Establish and lead a culture of service and operational excellence.
• Lead the delivery of our compensation program: Lead the delivery of Arc's compensation program, including owning cyclical compensation events. Use AI-driven workflows to develop and maintain compensation benchmarking and Arc’s structure. Partner with hiring managers and recruiting on offers, including building AI-driven tools to uplevel process and information sharing.

Requirements:

• 8+ years of experience in People Operations (or other relevant experience)
• Experience supporting benefits and compensation programs
• Proven track record of implementing AI and automation
• Strong operational background and cross-functional collaborator
• Great manager
• Wide range of experience in technology and workplace tools

The base salary range for this position is $147,500 - $181,500. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors. In addition to the Base Salary and Annual Bonus, you will be eligible to participate in the Institute’s Compound Cash Grant Program (the “CCGP”).

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This project builds on previous work in genome-scale CRISPR screening and aims to combine modern functional genomics and neuroscience tools to investigate the molecular mechanisms underlying brain development and function.

The ideal candidate will have experience in animal handling and colony management, intracerebral injections, sample processing for single-cell RNA sequencing and spatial pipelines, and imaging.

Responsibilities:

• Plan, execute, analyze, and troubleshoot experiments with a high degree of independence
• Perform in vivo mouse experiments, including stereotaxic surgeries, as well as IV and IP injections
• Collect and process tissue, including vibratome and/or cryostat sectioning, immunostaining, and imaging
• Comply with federal, Arc, and local IACUC/AAALAC regulations governing animal research
• Analyze and present data at subgroup meetings and seminars
• Maintain an organized, detailed lab notebook

Requirements:

• BS with 2+ years of relevant experience, or MS, in molecular biology, neuroscience, or another relevant field
• Strong experience working with laboratory animals
• Detail-oriented, with excellent organizational and time-management skills
• Outstanding critical thinking and problem-solving skills
• Strong oral and written communication skills
• Highly motivated and curious, with the ability to work effectively both independently and as part of a collaborative team

Preferred Skills:

• Prior experience with cloning via Gibson assembly or Golden Gate protocols
• Knowledge of and experience with NGS library preparation, particularly single-cell and spatial workflows
• Computational skills (Python or R)

The base salary for this position is $75,900.

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You will set the creative and strategic vision for how Arc speaks to the world, partner directly with the founders and other leaders to shape the communications strategy, and lead the teams that bring it to life every day.

Responsibilities:

• Own and articulate the vision for Arc's story as a new model for scientific institutions and as a producer of meaningful research
• Serve as a trusted partner to Arc's founders and scientific leaders, translating their expertise into clear creative direction and actionable plans for the team
• Lead, integrate, and develop Arc's Communications and Scientific Publications teams into a unified storytelling and editorial function
• Tell the world about Arc's scientific discoveries, leading the team that works closely with researchers to communicate their work with accuracy, clarity, and impact
• Set a high standard of taste and sophistication across all of Arc's output
• Develop Arc's brand in the scientific and AI talent markets
• Foster productive relationships with reporters to drive a proactive media strategy and react to coverage as needed
• Define the framework to measure the effectiveness of Arc's brand, communications, and editorial efforts
• Collaborate with multiple Arc teams on internal communications

Requirements:

• Bachelor's degree or advanced degree in a field applied to marketing and communications
• 15+ years of experience in communications, brand, marketing, and/or editorial roles
• A track record of setting communications or brand strategy for a technically sophisticated organization
• Demonstrated success partnering with founders, executives, and/or researchers
• Exceptional writing and editorial judgment
• Proven ability to operate strategically while remaining hands-on in the work

Preferred Qualifications:

• Previous work at frontier AI labs, technology startups, biotech, life sciences, or academic/research institutions
• Experience managing relationships with media at the national and trade level
• Familiarity with scientific publishing and the norms of academic communication

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Responsibilities:

• Lead legal strategy for complex collaborations, partnerships, and institutional arrangements that advance Arc’s mission.
• Advise leadership on governance, compliance, conflicts, regulatory, and risk matters.
• Oversee legal agreements with academic, industry, nonprofit, and other strategic partners.
• Identify legal pathways that enable new initiatives while protecting the Institute’s interests.
• Support business development and strategic growth initiatives.
• Build and improve legal processes, policies, and frameworks that support speed, clarity, and responsible execution.
• Manage and develop a small legal team, which includes an existing IP & Licensing function, and supervise outside counsel as needed.
• Provide clear, practical, and independent counsel to senior operational and scientific leadership.

Requirements:

• JD and Active membership in the State Bar of California, or eligibility to practice immediately as Registered In-House Counsel in California.
• Experienced leader and member of an executive team.
• Experienced people manager with track record of mentorship and skill development.
• 15+ years of relevant legal experience including significant experience in corporate, transactional, technology transfer, engineering, life sciences, or related legal work.
• Demonstrated ability to advise senior stakeholders on complex legal and strategic matters.
• Experience leading or materially supporting high-stakes negotiations and transactions.

Preferred Qualifications:

• Experience structuring novel or complex legal arrangements in innovation-driven environments.
• Experience managing a team of IP professionals or supervising external IP counsel.
• Experience in biotech, life sciences, technology, or similarly fast-moving sectors.

The base salary range for this position is $330,000 to $400,000. This position is also eligible to receive an annual discretionary bonus, and participants in the Institute’s Compound Cash Grant Program.

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The successful candidate will spearhead a team of 6 ML research scientists and engineers, working 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.

Responsibilities:

• Lead and build a team of ML research scientists and engineers
• Collaborate with wet lab scientists to generate and analyze single cell data
• Develop and apply advanced machine learning models for perturbative gene expression modeling
• Stay up-to-date with the latest in frontier ML research and pioneer new architectures and approaches
• Commit to a collaborative and inclusive team environment

Requirements:

• PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field
• Minimum of 5 years of experience working in/with machine learning
• Proven experience leading research teams in a fast-paced, multi-disciplinary environment
• Experience with or strong interest in biology
• Excellent communication skills

The base salary range for this position is $380,000-$420,000. The Institute also offers an annual discretionary bonus and a Compound Cash Grant Program.

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The Alzheimer's Disease Initiative 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 the development of sophisticated machine learning foundation models to capture cell states and infer gene regulatory networks and causal relationships to predict therapeutic interventions.

Responsibilities:

• 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

Requirements:

• 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 the 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.

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This is a technical, full-time role for someone who can engage substantively with the science, from CRISPR-based transcriptome engineering and functional genomics to computational modeling and disease biology, and translate that engagement into sharp decision-making, program execution, and cross-disciplinary coordination.

Responsibilities:

• Serve as a scientific and strategic daily thought partner to the Executive Director, engaging critically with scientific work across the lab, institute and external partnerships
• Own the operating rhythm of the Executive Director’s office, including a complex, shifting schedule and the prioritization of conflicting technical and organizational demands
• Gather and synthesize technical information and open decisions from across the Institute into clearly framed options, trade-offs, and recommendations
• Design strategic and effective meeting and offsite pre-reads, meeting agendas and meeting followup for Arc’s leadership team as well as scientific teams
• Drive high-priority scientific programs, collaborations and special projects from inception through execution
• Partner with the Executive Director and leadership team on defining annual and longer term strategic goals for the institute
• Unblock science by organizing and stewarding scientific collaborations, within the Institute and with external partners
• Translate complex technical work for varied audiences
• Handle confidential scientific and organizational information with care, thoughtfulness, and discretion at all times

Requirements:

• A Ph.D. (or equivalent research training) with a demonstrated scientific track record, or comparable technical depth from a consulting or founder path, plus 5-12+ years of experience
• Background in one or more relevant biology areas (e.g., genome or transcriptome engineering, functional genomics, neuroscience, molecular/cell biology, multi-omics, or computational biology)
• Demonstrated strength in technical information gathering, stakeholder and dependency mapping and management, and synthesizing complex scientific information into clear options and actionable recommendations for decision makers
• Track record of managing complex, cross-functional projects in a research environment from inception through execution
• Evidence of translating technical or scientific work for non-specialist audiences
• Excellent written and verbal communication skills
• Solution-oriented and adept at navigating shifting priorities and rapid change; unflappable, proactive, and discreet

Preferred Qualifications:

• Ph.D. in the life sciences or a closely related field
• Hands-on experience with CRISPR/gene- or RNA-editing technologies, functional genomic screens, or high-throughput experimental platforms
• Experience with computational biology, machine learning, or large-scale genomic data
• Experience organizing scientific collaborations or programs, within an institution and with external partners
• Experience supporting board preparation, scientific offsites, and executive or scientific communications

Benefits:

• The base salary range for this position is $160,000 to $237,500
• Eligible to receive an annual discretionary bonus
• Eligible to participate in the Institute’s Compound Cash Grant Program (CCGP)

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The Biosafety Manager will establish and lead the Arc Biosafety Program and Institutional Biosafety Committee (IBC) operations, ensuring oversight of biological agent usage. Key responsibilities include:

• Serving as a subject matter expert on biological safety for Arc's researchers and representing the organization to local, state, and federal authorities on biosafety matters
• Assessing research protocols involving biohazards or potentially biohazardous materials and managing approvals and renewals
• Validating ongoing biosafety program compliance through site inspections and follow-up on biological use authorizations
• Advising on biosafety requirements for proposed research, work, and facilities, and providing technical guidance on permitting and shipping of biological materials
• Designing, delivering, and evaluating biosafety training, including employee onboarding

In addition to core biosafety duties, this role will provide support and serve as backup coverage across Arc's general EH&S program, including:

• Serving as one of two EH&S leaders at Arc, providing shared safety leadership and subject matter expertise
• Helping maintain EH&S programs, procedures, and tracking systems in compliance with federal, state, and local regulations
• Participating in risk assessments, safety audits, inspections, and walkthroughs across Arc's labs to identify hazards and recommend improvements
• Investigating accidents, incidents, injuries, and complaints concerning potential hazards or unsafe conditions

The base salary range for this position is $127,000 to $157,000. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.

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