Arc Institute

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:
<ul>
<li><a href="https://arcinstitute.org/virtual-cell-initiative" rel="noopener noreferrer ugc" target="_blank">Virtual Cell Initiative</a>: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.</li>
<li><a href="https://arcinstitute.org/alzheimers-disease-initiative" rel="noopener noreferrer ugc" target="_blank">Alzheimer's Disease Initiative</a>: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.</li>
</ul>
More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
About the position
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. You'll set the technical direction for both and connect them, so every new dataset version is judged by what it does to the models. Later in your first year, the role widens into the engineering that makes the ML team's training and evaluation run fast and at scale, lab-in-the-loop infrastructure, validation frameworks for agent-written software, and Arc's rules for what research data we bring in, keep and share. The role consolidates ownership that is split across several teams today. 
Why this position could be the best job you’ve ever had
<ul>
<li>You will contribute to building a virtual cell. Your evals show which data makes Arc's models better, and the answer shapes which experiments Arc's labs run next.</li>
<li>You will own the platform end to end, and you work directly with the ML researchers and scientists who rely on it.</li>
</ul>
About you
<ul>
<li>You finish what you own, and you fix what's broken without being asked.</li>
<li>You're curious about the biology, enough to learn single-cell perturbation data and argue about what an eval should measure. </li>
<li>You're steady when priorities shift. Research is high-risk, so you test ideas early and change course when the evidence says to.</li>
<li>You don't wait on scarce expert time. If proving a dataset's value means running the model evals yourself, you run them.</li>
</ul>
In this position you will
<ul>
<li>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. </li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>Build or buy validation frameworks (tests, evals, QC gates, policies) that let agent-written code and apps ship without line-by-line human review. Start with our team, where you'll also own how we work with coding agents, then extend them to apps that scientists across Arc build themselves.</li>
<li>Own the engineering that makes the ML team's training and evaluation run fast, reliably and at scale. The ML team owns the research and the models. Once a model is ready to push, it enters the train-and-eval CI system you own, which feeds our Model Performance Dashboard. You'll also make multi-node training a supported path, track down distributed-training failures, and measure and raise throughput and GPU utilization (MFU) on clusters that Arc IT operates.</li>
</ul>
Requirements
<ul>
<li>Bachelor’s degree with 8 years of relevant experience, or Master’s degree with 6 years of relevant experience.</li>
<li>You've owned a production data or ML platform that researchers depend on, end to end (pipelines, storage, versioning), and set its technical direction.</li>
<li>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.</li>
<li>You've learned an unfamiliar technical domain well enough to make design calls in it.</li>
<li>You work directly with stakeholders to find requirements, with no PM in between.</li>
<li>You make the people around you better through code review, pairing and writing patterns down.</li>
<li>You've diagnosed and fixed performance problems in Python or PyTorch systems with profilers and measurements: GPU utilization, memory, data loading.</li>
<li>Work onsite in our Palo Alto office at least 3 days a week.</li>
</ul>
Preferred Qualifications
<ul>
<li>You've worked with single-cell or perturbation data (AnnData/h5ad).</li>
<li>You've built or run model evaluations: benchmarks, eval harnesses, PyTorch/GPU inference.</li>
<li>You've run multi-node distributed training (DDP/FSDP, NCCL, SLURM) or raised a training job's throughput. This is a plus, not a requirement: we care more that you learn it fast with agents and show the numbers moved.</li>
<li>You've led an effort with one or two other engineers.</li>
</ul>
The base salary range for this position is $191,000 to $237,000. 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.
In addition to the Base Salary and Annual Bonus above, you will be eligible to participate in the Institute’s Compound Cash Grant Program (the “CCGP”). The CCGP is a program designed to offer multi-year cash grants providing for a fixed dollar amount paid out in semi-annual installments to reward employees for staying and contributing to the Institute. As soon as reasonably practical after your start date, you will receive a grant letter describing the terms of your award under the CCGP.

Software Engineer, ML Infrastructure

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:
<ul>
<li><a href="https://arcinstitute.org/virtual-cell-initiative" rel="noopener noreferrer ugc" target="_blank">Virtual Cell Initiative</a>: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.</li>
<li><a href="https://arcinstitute.org/alzheimers-disease-initiative" rel="noopener noreferrer ugc" target="_blank">Alzheimer's Disease Initiative</a>: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.</li>
</ul>
More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
About the position
Arc Institute is growing and we're looking for a Recruiter with full cycle recruiting experience across life sciences, biotech, or scientific research. 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.
About you
<ul>
<li>You love talking science to scientists and getting them excited about new opportunities to drive scientific discovery, across both experimental and computational disciplines.</li>
<li>You've successfully recruited for leadership-level scientific roles and know how to run a search that's as much about relationship-building and market intelligence as it is about pipeline volume.</li>
<li>You are a candidate advocate who holds a high bar for candidate experience at every stage of the process.</li>
<li>You build relationships with clear communication, transparency, empathy, and kindness.</li>
<li>You approach problem solving with curiosity and resilience. You're not afraid to try a new approach when the old one isn't working.</li>
<li>You dive into data to craft sourcing strategies and think creatively about candidate engagement.</li>
<li>You're a skilled relationship builder who knows how to earn trust quickly across different levels and functions. You can influence without authority, whether you're advising a first-time hiring manager or partnering with a senior leader, and you know how to bring stakeholders along on decisions, timelines, and tradeoffs.</li>
<li>You thrive in fast-paced environments and work quickly, but thoughtfully.</li>
<li>You're energized by being part of a team that asks hard questions, supports each other, and pushes to keep improving.</li>
</ul>
In this position you will
<ul>
<li>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.</li>
<li>Build strong relationships with a wide range of hiring managers across functions and seniority levels, acting as a trusted advisor throughout the recruiting process — including setting clear expectations, influencing interview and evaluation decisions, and keeping stakeholders aligned and accountable.</li>
<li>Contribute to building and iterating on efficient, scalable recruiting processes alongside the broader recruiting team.</li>
<li>Represent Arc's mission and values with every candidate interaction.</li>
</ul>
Requirements
<ul>
<li>BS/BA degree and 8+ years of full cycle life sciences recruiting; in-house recruiting experience preferred</li>
<li>Demonstrated experience owning a diverse portfolio of roles across scientific functions and levels, including direct experience hiring for senior and leadership roles</li>
<li>Experience recruiting within relevant biology areas (genome engineering, cellular engineering, multi-omics, molecular/cell biology, neuroscience,  etc.)  </li>
<li>Strong sourcing and closing skills, with a track record of attracting and converting passive candidates, including passive senior-level talent</li>
<li>Proven ability to manage and influence stakeholders across functions and levels, including senior leaders, with confidence and credibility</li>
<li>Track record of acting as a true hiring partner — setting expectations, pushing back constructively when needed, and guiding hiring managers through the full recruiting process</li>
<li>Proficiency with an ATS (Greenhouse or similar) and a commitment to data integrity</li>
<li>Familiarity with sourcing and CRM tools such as LinkedIn Recruiter and Gem</li>
<li>Strong analytical mindset and exceptional attention to detail</li>
<li>Comfortable navigating ambiguity and wearing many hats in a growing organization</li>
<li>Collaborative, calm under pressure, and energized by team success</li>
<li>Consistent track record of meeting or exceeding hiring goals</li>
<li>Excellent written and verbal communication skills</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience recruiting for computational roles such as Machine Learning Research Scientists, Computational Biologists, or Bioinformatics Scientists</li>
</ul>
The base salary range for this position is $150,000 to $186,000. 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.
In addition to the Base Salary and Annual Bonus above, you will be eligible to participate in the Institute’s Compound Cash Grant Program (the “CCGP”). The CCGP is a program designed to offer multi-year cash grants providing for a fixed dollar amount paid out in semi-annual installments to reward employees for staying and contributing to the Institute. As soon as reasonably practical after your start date, you will receive a grant letter describing the terms of your award under the CCGP.

Recruiter

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:
<ul>
<li><a href="https://arcinstitute.org/virtual-cell-initiative" rel="noopener noreferrer ugc" target="_blank">Virtual Cell Initiative</a>: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.</li>
<li><a href="https://arcinstitute.org/alzheimers-disease-initiative" rel="noopener noreferrer ugc" target="_blank">Alzheimer's Disease Initiative</a>: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.</li>
</ul>
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 Postdoc to join the <a href="https://arcinstitute.org/labs/pluvinagelab" target="_blank" rel="noopener noreferrer ugc">Pluvinage Lab</a> at the Arc Institute. Our goal is to improve the lives of patients with neurological diseases. We do this by exploring undiagnosed autoimmunity in rare mystery cases and common neurodegenerative conditions alike. Starting with clinical observations and primary patient tissue, we use functional genomics, protein display technologies, and computational tools to embark on deep mechanistic dives into the contribution of autoimmunity to cognitive function. 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.
The questions we ask:
<ol>
<li>How do autoantibodies regulate cognition?</li>
<li>What is the source, target, and mechanism of pathogenic autoantibodies in neurological disease?</li>
<li>How can we eliminate pathogenic autoantibodies while leaving the rest of the immune system intact?</li>
<li>How does comorbid autoimmunity contribute to cognitive decline in neurodegeneration?</li>
<li>Are there protective autoantibodies that promote cognitive resilience in healthy brain aging?</li>
</ol>
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
<ul>
<li>You have a strong foundation in human immunology, neurobiology, and/or computational biology and are eager to apply this expertise to translational questions in neurological disease.</li>
<li>You are extremely curious and self-motivated.</li>
<li>You thrive in a fast-paced environment while conducting rigorous and impactful research.</li>
<li>You are intellectually independent and are able to design new research directions and projects (with input from your PI).</li>
<li>You are eager to learn and adopt new techniques.</li>
<li>You are excited by solving puzzles that have a translational impact and/or creating new therapeutic approaches.</li>
<li>You love to collaborate and explore outside your field of expertise.</li>
</ul>
In this position you will
<ul>
<li>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</li>
<li>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</li>
<li>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</li>
</ul>
Requirements
<ul>
<li>Doctorate (MD, PhD, MD/PhD, or equivalent) in immunology, neuroimmunology, neuroscience, genetics, or a related field</li>
<li>Demonstrated expertise in human immunology, neurobiology, or computational biology with a strong understanding of immune–nervous system interactions</li>
<li>Excellent written and verbal communication skills</li>
<li>Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player</li>
</ul>
How to Apply
Please submit:
<ol>
<li>CV</li>
<li>Brief cover letter describing your research interests, what kinds of projects you’re excited to lead, and why the Pluvinage Lab is a fit. Please be sure to include contact information for 3+ references.</li>
</ol>
<div>
<div>
<div>
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.
</div>
</div>
</div>

Postdoctoral Researcher, Neuro-Immune Interactions, Pluvinage Lab

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:
<ul>
<li><a href="https://arcinstitute.org/virtual-cell-initiative" rel="noopener noreferrer ugc" target="_blank">Virtual Cell Initiative</a>: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.</li>
<li><a href="https://arcinstitute.org/alzheimers-disease-initiative" rel="noopener noreferrer ugc" target="_blank">Alzheimer's Disease Initiative</a>: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.</li>
</ul>
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 II to join the Horns laboratory at the Arc Institute. In this position, you will contribute to developing the next generation of platform technologies for monitoring and manipulating cells in living animals, and gain expertise in molecular biology, cell engineering, viral vector production, and in vivo models. You will have the opportunity to work with world-leading scientists in relevant fields, including single-cell genomics, computational biology, and molecular engineering.
This position offers a unique chance for a highly motivated and curious researcher to work on cutting-edge molecular technologies at the intersection of synthetic biology and genomics. Some of the relevant projects extend from our recent work in developing and using <a href="https://doi.org/10.1016/j.cell.2023.06.013" rel="noopener noreferrer ugc" target="_blank">cellular RNA exporters to non-destructively monitor cell dynamics and deliver mRNA between cells</a>. You will help take this system into living animals, engineering systems that report the transcriptome of specific cell populations from a blood draw and enable tracking of how tissues respond to perturbations.
This is a great stepping stone for candidates looking to enroll in a PhD program in the future, as you will be involved in designing projects from the ground up and co-authoring papers. The ideal candidate must have a strong background in molecular biology and mammalian cell culture, and will learn to apply their skills to building novel molecular technologies.
About you
<ul>
<li>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. </li>
<li>You can work fast and are detail-oriented. You are careful, meticulous, and diligent about good documentation practices, good lab practices, and keeping things organized while moving at a rapid pace. </li>
<li>You love to collaborate and help others. Science is a team effort, and you pride yourself in taking the initiative to participate and to offer help.</li>
<li>You are a problem solver. Building new technologies comes with issues you need to troubleshoot. You pride yourself in your ability to troubleshoot complex problems.</li>
<li>You are comfortable working with animals. </li>
<li>You explicitly wish to use this experience to gain entry into a PhD program and are able to provide a minimum 2-year commitment to build a portfolio of work to support you in that endeavor.</li>
</ul>
In this position, you will
<ul>
<li>Utilize a wide array of molecular biology techniques, such as restriction cloning, Gibson assembly, DNA/RNA isolation, cDNA synthesis, PCR, qPCR, NGS library preparation, and more.</li>
<li>Produce and characterize viral vectors for in vivo delivery.</li>
<li>Conduct tissue culture and transfection-based experiments, including microscopy and flow cytometry readouts.</li>
<li>Independently carry out cell culture and in vivo experiments and molecular biology assays.</li>
<li>Assist with research planning, execution, analysis, troubleshooting, and data interpretation with a high degree of independence and continued support from the rest of the team. This is an excellent opportunity for candidates before enrolling in a PhD program, as you will be involved in all stages of a project under the guidance of an experienced scientist.</li>
<li>Analyze and present data at internal subgroup meetings and seminars.</li>
<li>Maintain an organized and detailed lab notebook.</li>
<li>Assist with organizing and managing laboratory resources, including ordering supplies, managing inventory, and maintaining equipment.</li>
</ul>
Requirements
<ul>
<li>BS/MS or equivalent professional experience in cell &amp; molecular biology, biochemistry, bioengineering, or similar field.</li>
<li>2+ years of relevant experience in an academic or industry setting (including independent lab work during your undergraduate studies).</li>
<li>Extensive hands-on experience with standard molecular biology techniques, such as cloning, PCR, qPCR, or plasmid preparation.</li>
<li>Proficiency with mammalian cell culture and transfections.</li>
<li>Strong critical thinking and problem-solving skills.</li>
<li>Strong oral and written communication skills.</li>
<li>Highly motivated, curious, and a team player.</li>
</ul>
Preferred Qualifications
<ul>
<li>NGS library preparation.</li>
<li>AAV production, purification, and titering.</li>
<li>Hands-on experience with rodent work, including handling and procedures.</li>
<li>Experience with mouse disease models.</li>
<li>Ability to analyze large and complex data sets using Python, R, or similar tools.</li>
</ul>
How to Apply
Please submit:
<ol>
<li>CV</li>
<li>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.</li>
</ol>
The base salary for this position is $75,900. This amount does not include benefits or other forms of compensation.

Research Associate II, Horns Lab

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:
<ul>
<li><a href="https://arcinstitute.org/virtual-cell-initiative" rel="noopener noreferrer ugc" target="_blank">Virtual Cell Initiative</a>: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.</li>
<li><a href="https://arcinstitute.org/alzheimers-disease-initiative" rel="noopener noreferrer ugc" target="_blank">Alzheimer's Disease Initiative</a>: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.</li>
</ul>
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 
<ul>
<li>Join Arc's Alzheimer's Disease Initiative as the production engine behind a first-of-its-kind 3D brain-model screening program, where the cells you make drive disease-target discovery.</li>
</ul>
About the position
We are seeking a Senior Research Associate, In Vitro Screen Execution, to join the Cellular Models Technology Center for a fixed term of 12 months to  support the execution of arrayed genetic and chemical perturbation screens in disease-relevant 3D neural models. 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. 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. This is a temporary contractor position based onsite 5 days a week in Palo Alto. This role is not eligible for visa sponsorship.
About you
<ul>
<li>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. </li>
<li>You are highly independent in developing and executing experiments and workflow designs in line with the overall goals of the team and project. You plan and execute projects and individual experiments with independence. </li>
<li>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.</li>
<li>You use specialized skill sets to support lab teams and cross-functional projects. You collaborate effectively across teams without detailed guidance by your manager or mentor, including effectively engaging with people with different work styles. You directly mentor and train more junior RAs inside or outside your lab or team. </li>
<li>You are comfortable carrying out the routine execution of tasks while identifying opportunities to troubleshoot and improve bottlenecks.</li>
<li>Your organizational skills enable you to manage multiple concurrent projects, and your curiosity and creativity drive you to continuous learning.</li>
</ul>
In this position you will
<ul>
<li>Execute culture, quality control and validation of complex in vitro 3D neural and glial models. </li>
<li>Support the execution of high throughput arrayed chemical and genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc.</li>
<li>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.</li>
<li>Have a systematic approach to the execution of tasks and experiments with a focus on efficiency and reproducibility.</li>
<li>Maintain careful records in ELN (electronic lab notebook) and organize materials and reagents with detailed tracking in our LIMS system.</li>
<li>Collaborate with other teams at Arc to coordinate screening steps and sample transfer.</li>
<li>Analyze and present experimental data at internal meetings and seminars.</li>
</ul>
Requirements
<ul>
<li>BS degree in relevant field with 4+ years of relevant experience, or MS degree in relevant field with 2+ years of relevant postgraduate experience</li>
<li>Substantial experience culturing and maintaining human PSC-derived cell types or organoids (NPCs, neurons, astrocytes, microglia, or similar), with reliable, reproducible results.</li>
<li>Demonstrated ability to execute multiple cell culture protocols with precision and to transition between them accurately, maintaining fidelity to each protocol's specific requirements (workflow, media, and timeline).</li>
<li>Familiarity with maintaining and tracking complex in vitro co-cultures using assays such as imaging, flow cytometry, qPCR, proteomics and transcriptomics-based readouts.</li>
<li>Excellent aseptic technique and consistent cell-culture practice held to a high, production-type standard.</li>
<li>Meticulous documentation and record-keeping; comfort working to a production schedule, and basic data tracking and analysis.</li>
<li>Work onsite in our Palo Alto office 5 days per week. Occasional weekend work may be required. </li>
</ul>
Preferred Qualifications
<ul>
<li>Hands-on experience handling high throughput plate formats and automation methods.</li>
<li>Experience with LIMS systems, ideally Benchling.</li>
<li>Experience analyzing large data sets preferably using data scripting tools such as Python or R.</li>
</ul>
The base salary range for this position is $84,250 to $106,000. 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.

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Software Engineer, ML Infrastructure

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Postdoctoral Researcher, Neuro-Immune Interactions, Pluvinage Lab

Research Associate II, Horns Lab

Senior Research Associate, In Vitro Screen Execution (Fixed-Term Contract)

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