{"data":{"company":{"name":"Arc Institute","slug":"arc-institute","logo_url":"https://logos.yubhub.co/arcinstitute.com.png","canonical_domain":"arcinstitute.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Patrick Hsu receives early career prize for rewriting and redesigning genomes - Stanford Medicine","url":"https://news.google.com/rss/articles/CBMie0FVX3lxTE1aRjVjS1BFUnU1OU5kajFyUFVQdmtjaUZZT05JWmNSaDFPQzZ5Q2JOUHByamIxSmlfN2ZuUHFoaEpPczFSYldXVTV6MVR5cWx1dTVNSk1jMTk0YnJHOHY1S0ZCWEowWnBWS1lHaFVCTnlBaUNZMG1tRVhwZw?oc=5","publisher":"Stanford Medicine","date":"2026-10-06","snippet":"Patrick Hsu receives early career prize for rewriting and redesigning genomes Stanford Medicine"},{"title":"Three Scientists Honored with $250,000 Blavatnik Awards for Breakthroughs in Organic Chemistry, Gene Editing and Bioelectronics - The New York Academy of Sciences","url":"https://news.google.com/rss/articles/CBMi8gFBVV95cUxQU2xkQWIwcEt2TXZmR1ZkcU5tcmFPRkE2aWF4M3R0ckZmcnRIT0hvWTJDMTRoUlRVbjBDbzk5WFdjWmNUV3RndjlCcEdndVFadWtCOVRvUWFJb3MyMHlHTHpIbHBGUjFTcXBRZ0ZBbnBLZDhjbVlKLVdtM3JiVzFJSUtBLWJ4V1Rmc25OaklCY3o4eWFSdXpRNTdidEo1R3dwUVdjN3VmT3ZkUThjdTRRS3N4b2I1NnVjb2ZjdkhBQldZd3prOG9ra0R6Q1BCVWFHdElfQmE0MXFOaHFmUEwwdmdPZjQxUDdRMWcwVVUxTV80UQ?oc=5","publisher":"The New York Academy of Sciences","date":"2026-10-06","snippet":"Three Scientists Honored with $250,000 Blavatnik Awards for Breakthroughs in Organic Chemistry, Gene Editing and Bioelectronics The New York Academy of Sciences"},{"title":"Three researchers receive 2026 Blavatnik National Awards - Chemical & Engineering News","url":"https://news.google.com/rss/articles/CBMilAFBVV95cUxQdmNjSWhpZGVyTlQxQ3piVHczRS13aVROWnpaWkg1X3B4ejRzcElDYnQ4TFB0MnlBajJPZERYM1AtaWRNRW5DUUNhbkxVVjZnd1Fsb2hnWDdScTZyWGRpSDVvLTRJRG5GQUR4ZWVZdUg4YmI2ZGdLTDZmYWd2aHVWN1d5WFFLaEZJdm1zRWtZa25tQWlQ?oc=5","publisher":"Chemical &amp; Engineering News","date":"2026-10-07","snippet":"Three researchers receive 2026 Blavatnik National Awards Chemical & Engineering News"},{"title":"How a new wave of science philanthropists can have the greatest impact - Nature","url":"https://news.google.com/rss/articles/CBMiX0FVX3lxTE83X0Q4by1iamFxaDBtcWlwZ1VTWUNEMWRXZlA1TEU4eHNZVDBHTnkzNVFmOHp1WVpVLTFLTDNIUzJzV1NXenNRN0V1cm5nRHhqdGw0UlY2WHk4dnYyMVBn?oc=5","publisher":"Nature","date":"2026-10-21","snippet":"How a new wave of science philanthropists can have the greatest impact Nature"},{"title":"Novel Viruses Created With AI - Arms Control Association","url":"https://news.google.com/rss/articles/CBMieEFVX3lxTFBpWUJjWjB1RGdzRG9ZQzRIbU0wQ0JlQnFIdS1DRHFFUFpOczkzaEU4T04xRFc0M0daSnZYNnBJbzh3ekstbjdTVXFWWUY4azF3cEdQMGRiOFJ6dHdYNkN1eXFtWm1VTlREU2NFM3A0SE8yM3ZMSHJoaw?oc=5","publisher":"Arms Control Association","date":"2026-10-23","snippet":"Novel Viruses Created With AI Arms Control Association"}],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":27,"categories":[{"category":"research","count":17},{"category":"human resources","count":3},{"category":"operations","count":2},{"category":"engineering","count":2},{"category":"legal","count":1},{"category":"data science","count":1},{"category":"communications","count":1}],"experience_levels":[{"level":"senior","count":20},{"level":"mid","count":2},{"level":"executive","count":2},{"level":"entry","count":2}],"work_arrangements":[{"arrangement":"onsite","count":18},{"arrangement":"hybrid","count":5}],"top_titles":[{"title":"Software Engineer, ML Infrastructure","count":1},{"title":"Software Engineer, Lab Platform","count":1},{"title":"Senior Research Associate, Viral Production (Fixed-Term Contract)","count":1},{"title":"Senior Research Associate, In Vitro Screen Execution (Fixed-Term Contract)","count":1},{"title":"Senior Research Associate, Genetic Perturbation Screening (Fixed-Term Contract)","count":1},{"title":"Senior Director, Disease Biology","count":1},{"title":"Scientist/Sr. Scientist, Spatial Omics Technology Development (Fixed-Term Contract)","count":1},{"title":"Scientist, Delivery Screening Technology, Horns Lab","count":1},{"title":"Scientist, Computational Biology","count":1},{"title":"Research Associate II, Pluvinage Lab","count":1},{"title":"Recruiter","count":1},{"title":"Postdoctoral Researcher, Zhou Lab","count":1},{"title":"Postdoctoral Researcher, Neuro-Immune Interactions, Pluvinage Lab","count":1},{"title":"Postdoctoral Researcher, ML for Biology, Hsu Lab","count":1},{"title":"Postdoctoral Researcher, Jain Lab","count":1}],"locations":[{"location":"palo alto, ca","count":27}],"skills":[{"skill":"Computational Biology","required":7,"preferred":1,"total":8},{"skill":"Machine Learning","required":6,"preferred":1,"total":7},{"skill":"Python","required":6,"preferred":1,"total":7},{"skill":"Bioinformatics","required":5,"preferred":0,"total":5},{"skill":"Molecular Biology","required":5,"preferred":0,"total":5},{"skill":"Immunology","required":3,"preferred":2,"total":5},{"skill":"PyTorch","required":4,"preferred":0,"total":4},{"skill":"Neuroscience","required":3,"preferred":1,"total":4},{"skill":"Genomics","required":3,"preferred":0,"total":3},{"skill":"Neurobiology","required":1,"preferred":2,"total":3},{"skill":"Genetics","required":3,"preferred":0,"total":3},{"skill":"Computational Modeling","required":2,"preferred":0,"total":2},{"skill":"Life Sciences","required":1,"preferred":1,"total":2},{"skill":"Biotech","required":0,"preferred":2,"total":2},{"skill":"Animal Handling","required":1,"preferred":1,"total":2},{"skill":"Automation","required":1,"preferred":1,"total":2},{"skill":"Synthetic Biology","required":2,"preferred":0,"total":2},{"skill":"Bioengineering","required":2,"preferred":0,"total":2},{"skill":"Biochemistry","required":2,"preferred":0,"total":2},{"skill":"Crispr Screens","required":2,"preferred":0,"total":2}],"salary_stats":{"count":25,"min":75900,"q1":80000,"median":140375,"q3":198750,"max":400000},"job_types":[{"type":"full-time","count":22},{"type":"contract","count":5}],"latest_jobs":[{"id":"job_08652e9e-720","title":"People Operations Coordinator","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6233934004","location":"Palo Alto, CA","job_type":"full-time","experience_level":"entry","work_arrangement":"onsite","category":"Human Resources","description":"<p>Arc Institute is seeking a People Operations Coordinator to join its team in Palo Alto. The successful candidate will be the face of the People Operations team and will work closely with employees and managers to provide great service experiences. The role involves owning the new hire and departing employee experience, supporting immigration and payroll operations, and maintaining accurate employee records.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Be the first point of contact for employees and managers on benefits, payroll, systems, and programs</li>\n<li>Own new hire onboarding, from preboarding and paperwork to day-of hosting and swag</li>\n<li>Own offboarding, including exit notices to Facilities, IT, and Accounting, and equipment return tracking</li>\n<li>Maintain accurate employee records in HRIS and related systems</li>\n<li>Work with Payroll and Benefits partners to manage benefits enrollment and changes in status</li>\n<li>Support immigration casework, including verification of employment requests and coordination with outside counsel</li>\n<li>Support program leaders in running people programs</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>1+ year of experience as a coordinator or supporting people operations and/or human resources</li>\n<li>Detail-oriented with strong communication skills</li>\n<li>Comfortable with new technology and open to AI innovation and efficiency</li>\n<li>Service-minded with a focus on creating a positive experience for employees</li>\n<li>Experience with an HRIS (HiBob a plus)</li>\n<li>Experience owning and contributing towards a new hire program</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Familiarity with I-9 compliance and employment verification</li>\n<li>Exposure to immigration processes (H-1B, PERM, J-1)</li>\n<li>Experience with payroll systems (S1/Prism a plus)</li>\n<li>Experience in a biotech, research, or fast-growing environment</li>\n</ul>\n<p>The base salary range for this position is $37.36 - $41.49/hr.</p>","enriched_at":1793434818402},{"id":"job_2f00e314-970","title":"Lab Operations Assistant (Fixed-Term Contract)","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6239022004","location":"Palo Alto, CA","job_type":"contract","experience_level":null,"work_arrangement":"onsite","category":"Operations","description":"<p>Arc Institute is seeking a Lab Operations Assistant to support research operations across its Technology Centers. The successful candidate will work closely with the Lab Manager to keep shared lab spaces stocked, clean, and running smoothly, and provide hands-on support for day-to-day logistics.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Perform routine TC room upkeep on a set schedule</li>\n<li>Stock TC rooms and lab benches with consumables and reagents</li>\n<li>Perform scheduled incubator and BSC decontaminations</li>\n<li>Receive and unbox large vendor orders</li>\n<li>Work alongside the Lab Manager to provide agile support to Tech Center teams</li>\n<li>Coordinate shipping of samples and equipment</li>\n<li>Communicate clearly with lab members</li>\n<li>Contribute to process improvement</li>\n<li>Play an active role in maintaining a safe work environment</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>1+ years of experience in a lab operations or research setting</li>\n<li>Strong attention to detail and organizational skills</li>\n<li>Ability to multi-task and prioritize</li>\n<li>Resourceful, proactive, and self-initiating</li>\n<li>Effective written and verbal communication skills</li>\n<li>Proficiency with Google Workspace and/or Microsoft Office Suite</li>\n<li>Ability to stand and walk for extended periods</li>\n<li>Must have the ability to lift 50 pounds</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with incubator or biosafety cabinet decontamination</li>\n<li>Familiarity with cold chain handling</li>\n<li>Experience with shipping and receiving</li>\n<li>Experience with project management tracking tools</li>\n<li>Familiarity with Benchling and/or inventory management systems</li>\n</ul>\n<p>The hourly rate range for this position is $25 - $31 per hour.</p>","enriched_at":1793434805507},{"id":"job_34e677ab-cbd","title":"Software Engineer, ML Infrastructure","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6222681004","location":"Palo Alto, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<h4>Job Summary</h4>\n<p>You&#39;ll join Arc&#39;s Infrastructure Engineering team and own the data and evaluation of ML infrastructure for Arc&#39;s virtual cell models. You&#39;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.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Own how Arc measures the performance of its virtual cell models, starting with the backend of our Model Performance Dashboard, which you&#39;ll take over within your first two months.</li>\n<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>\n<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>\n<li>Own the lab-in-the-loop infrastructure that turns model performance results into the case for what Arc&#39;s labs should test next, working directly with the science leads who design those experiments.</li>\n<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.</li>\n<li>Own the engineering that makes the ML team&#39;s training and evaluation run fast, reliably and at scale.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>Bachelor’s degree with 8 years of relevant experience, or Master’s degree with 6 years of relevant experience.</li>\n<li>You&#39;ve owned a production data or ML platform that researchers depend on, end to end (pipelines, storage, versioning), and set its technical direction.</li>\n<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>\n<li>You&#39;ve learned an unfamiliar technical domain well enough to make design calls in it.</li>\n<li>You work directly with stakeholders to find requirements, with no PM in between.</li>\n<li>You make the people around you better through code review, pairing and writing patterns down.</li>\n<li>You&#39;ve diagnosed and fixed performance problems in Python or PyTorch systems with profilers and measurements: GPU utilization, memory, data loading.</li>\n<li>Work onsite in our Palo Alto office at least 3 days a week.</li>\n</ul>\n<h4>Preferred Qualifications</h4>\n<ul>\n<li>You&#39;ve worked with single-cell or perturbation data (AnnData/h5ad).</li>\n<li>You&#39;ve built or run model evaluations: benchmarks, eval harnesses, PyTorch/GPU inference.</li>\n<li>You&#39;ve run multi-node distributed training (DDP/FSDP, NCCL, SLURM) or raised a training job&#39;s throughput.</li>\n<li>You&#39;ve led an effort with one or two other engineers.</li>\n</ul>\n<h4>Benefits</h4>\n<ul>\n<li>The base salary range for this position is $191,000 to $237,000.</li>\n<li>This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.</li>\n<li>You will be eligible to participate in the Institute’s Compound Cash Grant Program (the “CCGP”).</li>\n</ul>","enriched_at":1792844180875},{"id":"job_1f2bf97f-ee5","title":"Software Engineer, Lab Platform","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6222737004","location":"Palo Alto, CA","job_type":"full-time","experience_level":"entry","work_arrangement":"hybrid","category":"Engineering","description":"<p>You&#39;ll join Arc&#39;s Infrastructure Engineering team and own support and operations for their laboratory information management system (LIMS).</p>\n<p>The LIMS is used by Arc&#39;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.</p>\n<p>You don&#39;t need LIMS experience; strong Python and SQL skills and an interest in lab data are essential. You&#39;ll start under the lab platform Tech Lead, who will review your work and mentor you.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Run the request queue for Arc&#39;s lab data systems</li>\n<li>Support templates scientists use to record experiments and command-line tools for data analysis</li>\n<li>Conduct training sessions for scientists and write documentation</li>\n<li>Build and maintain checks for errors in data entry</li>\n<li>Help refactor the team and permission structure in the LIMS</li>\n<li>Automate recurring requests</li>\n</ul>\n<p>By the end of your first year, you will:</p>\n<ul>\n<li>Build tools for querying screen and experiment metadata</li>\n<li>Run the request queue and ship schema changes independently</li>\n<li>Own a part of the lab platform from design through support</li>\n</ul>\n<p>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.</p>","enriched_at":1792844160951},{"id":"job_6437738d-6eb","title":"Senior Research Associate, Viral Production (Fixed-Term Contract)","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6221655004","location":"Palo Alto, CA","job_type":"contract","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>Arc Institute is seeking a highly skilled Senior Research Associate, Viral Production to join the Molecular Engineering team within the Genome Engineering Technology Center. This 18-month fixed-term position involves serving as a dedicated producer of lentivirus, supplying high-quality viral preps that power perturbation screening and cell engineering efforts across Arc&#39;s wet lab Tech Centers.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Execute staggered rounds of lentivirus production using suspension and/or adherent systems.</li>\n<li>Concentrate, filter, and aliquot virus into single-use aliquots, and perform quality control on each lot.</li>\n<li>Help coordinate cross-functionally to forecast demand in advance, scaling and scheduling each round of production accordingly.</li>\n<li>Maintain rigorous, organized documentation of production runs, titer/QC outcomes, and viral inventory and distribution.</li>\n<li>Perform troubleshooting on failed productions, escalate and reschedule as needed.</li>\n<li>Maintain inventory of key reagents, media, and consumables to ensure uninterrupted production.</li>\n<li>Help establish, refine, and run an efficient end-to-end viral production platform.</li>\n<li>Contribute to process optimization aimed at improving the scale, quality, and lot-to-lot consistency of production.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<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>\n<li>Proficiency in mammalian cell culture procedures and associated aseptic techniques.</li>\n<li>Direct hands-on experience producing lentivirus at scale using suspension and/or adherent systems.</li>\n<li>Demonstrated ability to execute reproducible, multi-step production protocols consistently across repeated rounds.</li>\n<li>Experience with viral titration and QC methods.</li>\n<li>Experience with filtering, single-use aliquoting, cryopreservation, and inventory management of viral stocks.</li>\n<li>Meticulous documentation and record-keeping; comfort working to a production schedule.</li>\n<li>Excellent communication skills and the ability to coordinate effectively across teams.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience developing or leveraging automation for viral production and/or titration at scale.</li>\n<li>Prior experience independently optimizing processes and workflows to improve viral yield, quality, and consistency.</li>\n<li>Hands-on experience with multiple viral production systems and protocols.</li>\n<li>Experience producing lentivirus in arrayed formats as well as large-scale pooled-library formats.</li>\n<li>Experience managing external vendor relationships for cloning and plasmid preps.</li>\n</ul>\n<p>The base salary range for this position is $84,250 to $106,000.</p>","enriched_at":1792844147564},{"id":"job_c15419eb-061","title":"Senior Research Associate, In Vitro Screen Execution (Fixed-Term Contract)","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6174274004","location":"Palo Alto, CA","job_type":"contract","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>Arc Institute is seeking a Senior Research Associate, In Vitro Screen Execution, to join the Cellular Models Technology Center for a fixed term of 12 months.</p>\n<p>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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Execute culture, quality control and validation of complex in vitro 3D neural and glial models.</li>\n<li>Support the execution of high throughput arrayed chemical and genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc.</li>\n<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>\n<li>Have a systematic approach to the execution of tasks and experiments with a focus on efficiency and reproducibility.</li>\n<li>Maintain careful records in ELN (electronic lab notebook) and organize materials and reagents with detailed tracking in our LIMS system.</li>\n<li>Collaborate with other teams at Arc to coordinate screening steps and sample transfer.</li>\n<li>Analyze and present experimental data at internal meetings and seminars.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<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>\n<li>Substantial experience culturing and maintaining human PSC-derived cell types or organoids (NPCs, neurons, astrocytes, microglia, or similar).</li>\n<li>Demonstrated ability to execute multiple cell culture protocols with precision.</li>\n<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>\n<li>Excellent aseptic technique and consistent cell-culture practice.</li>\n<li>Meticulous documentation and record-keeping.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Hands-on experience handling high throughput plate formats and automation methods.</li>\n<li>Experience with LIMS systems, ideally Benchling.</li>\n<li>Experience analyzing large data sets preferably using data scripting tools such as Python or R.</li>\n</ul>\n<p>The base salary range for this position is $84,250 to $106,000.</p>","enriched_at":1792844123300},{"id":"job_a3e98d20-67f","title":"Senior Research Associate, Genetic Perturbation Screening (Fixed-Term Contract)","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6224601004","location":"Palo Alto, CA","job_type":"contract","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>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 to support the routine execution of arrayed and pooled genetic perturbation screens in disease-relevant, human pluripotent stem cell (hPSC)-derived microglia.</p>\n<p>In this position, you will facilitate core workflows across the team&#39;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&#39;s Alzheimer&#39;s Disease Initiative.</p>\n<p>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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Execute routine stem cell culture and differentiation protocols.</li>\n<li>Conduct and optimize medium- to high-throughput lentiviral transduction-based experiments to introduce arrayed genetic perturbations into engineered cell lines.</li>\n<li>Leverage in vitro cell-based assays and molecular biology techniques to characterize the functional activity of genetically perturbed cells.</li>\n<li>Support the cross-functional execution of arrayed and pooled genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc.</li>\n<li>Maintain careful records and organize materials and reagents with detailed tracking in our LIMS system.</li>\n<li>Troubleshoot and identify opportunities to improve existing protocols and platform capabilities.</li>\n<li>Analyze and present data at internal meetings and seminars.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<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>\n<li>Relevant lab experience including demonstrated and proficient skills for stem cell and progenitor cell culturing and routine characterization.</li>\n<li>Experience running and analyzing flow cytometry experiments.</li>\n<li>Experience with LIMS systems, ideally Benchling.</li>\n<li>Detail-oriented with excellent organizational and time management skills.</li>\n<li>Strong oral and written communication skills.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience differentiating hPSCs into neural or immune lineages.</li>\n<li>Experience with plate-based or automation-compatible screening workflows.</li>\n<li>Familiarity with CRISPR-Cas9 or other genome editing or genetic perturbation techniques.</li>\n<li>Proficiency and experience with molecular cloning, virus production, and cell line engineering.</li>\n</ul>\n<p>The base salary range for this position is $84,250 to $106,000.</p>","enriched_at":1792844106798},{"id":"job_785e30fe-6ff","title":"Senior Director, Disease Biology","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6151564004","location":"Palo Alto, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Research","description":"<p>Arc Institute is seeking an experienced Senior Director of Disease Biology to lead target discovery through preclinical development for the Alzheimer&#39;s Disease Initiative (ADI).</p>\n<p>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&#39;s existing in vivo and advanced cellular model teams to identify and validate novel targets, partnering with Arc&#39;s computational technology center to apply causal modeling and assemble a prioritized portfolio.</p>\n<p>The role also looks outward, drawing on expertise across the Arc community and engaging the broader Alzheimer&#39;s disease field so that the Initiative both learns from and contributes to progress beyond Arc.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build a new team to carry validated targets through drug discovery into preclinical programs.</li>\n<li>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.</li>\n<li>Lead target discovery for the Initiative, translating genetic, functional genomics, and disease mapping findings into biologically grounded therapeutic targets.</li>\n<li>Lead Arc&#39;s existing in vivo and in vitro ADI discovery teams, shaping their work to sharpen target identification and validation.</li>\n<li>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.</li>\n<li>Align priorities across the target discovery and preclinical teams so concurrent programs move in a coordinated way.</li>\n<li>Collaborate across the Arc community to coordinate experimental approaches and analysis, and to deepen our collective understanding of Alzheimer&#39;s disease biology.</li>\n<li>Manage CRO and external partner relationships, with support from Program Management, to advance AD model generation and preclinical studies.</li>\n<li>Represent discovery and preclinical strategy in cross functional target review and portfolio prioritization discussions.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD in neuroscience, immunology, cell biology, genetics, pharmacology, or a related field.</li>\n<li>Extensive experience leading target discovery in neurodegeneration, from disease biology and human genetics through target validation.</li>\n<li>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.</li>\n<li>Deep expertise developing or applying advanced 3D cellular models of neurodegenerative disease.</li>\n<li>Proven people leadership, including mentoring established scientific teams, building new teams and capabilities from the ground up, and running matrixed, cross functional programs.</li>\n<li>Strong partnership with computational biology and machine learning teams, applying causal modeling and human genetic data to target discovery and validation.</li>\n<li>Experience in a fast paced biotech or nonprofit research institute environment.</li>\n<li>Ability to work onsite in our Palo Alto office a minimum of four days per week.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Direct experience in Alzheimer&#39;s disease drug discovery.</li>\n<li>Hands-on experience generating and validating animal models of Alzheimer’s disease, including genetic risk variant models such as APOE4 and TREM2.</li>\n<li>Experience integrating computational and machine learning driven target prioritization into discovery strategy.</li>\n<li>Experience partnering with high throughput biology teams.</li>\n</ul>\n<p>The base salary range for this position is $263,500 to $325,500.</p>","enriched_at":1792844088652},{"id":"job_6c5fa2c1-dd7","title":"Scientist/Sr. Scientist, Spatial Omics Technology Development (Fixed-Term Contract)","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6205644004","location":"Palo Alto, CA","job_type":"contract","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>Arc Institute is seeking a Scientist/Sr. Scientist for a fixed-term contract of 18 months to join the Multi-Omic Technology Center focusing on imaging-based spatial technology development for the Alzheimer&#39;s Disease Initiative.</p>\n<p>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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and execute system testing and validation plans for the current custom in-house spatial imaging platform.</li>\n<li>Work directly with external vendors to troubleshoot and resolve hardware and software issues.</li>\n<li>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.</li>\n<li>Execute end-to-end wet lab spatial perturb-seq workflows.</li>\n<li>Collaborate with computational scientists to analyze imaging QC data and drive iterative assay development and decision-making.</li>\n<li>Track progress against key milestones and report on progress in internal meetings.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD in molecular biology, biochemistry, genomics, bioengineering, or a related field, with 2-5+ years of experience in academia or the biotechnology industry.</li>\n<li>Extensive experience in spatial omics technology and/or product development.</li>\n<li>Hands-on experience with custom imaging and/or fluidic systems, including instrument troubleshooting.</li>\n<li>Hands-on experience with tissue or organoid sample prep and in situ imaging-based assays (e.g., HCR, MERFISH, seqFISH, RCA, in situ sequencing).</li>\n<li>Comfortable working in a fast-paced, early-stage technology development environment with substantial hands-on troubleshooting.</li>\n<li>Strong collaboration and communication skills across multiple teams.</li>\n<li>Strong project management and documentation skills.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Base salary range: $128,500 to $182,500</li>\n</ul>","enriched_at":1792844058732},{"id":"job_9e59a7e1-054","title":"Scientist, Delivery Screening Technology, Horns Lab","source_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/6204376004","location":"Palo Alto, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Research","description":"<p>Arc Institute is seeking a Scientist to join the Horns laboratory. The successful candidate will lead the development of pooled screening technology for measuring and engineering how biological nanoparticles deliver molecular cargo into cells.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and validate molecular reporters that measure how efficiently delivery vehicles enter cells and release cargo.</li>\n<li>Design and construct pooled libraries of engineered delivery vehicles and cellular components, and execute screens with sequencing-based readouts.</li>\n<li>Scale the platform from proof-of-concept to large multiplexed screens, and apply it to discover and engineer improved delivery vehicles.</li>\n<li>Design and execute validation experiments, including orthogonal assays and characterization of individual hits.</li>\n<li>Analyze sequencing data computationally, including developing analysis pipelines.</li>\n<li>Collaborate with lab members developing complementary screening platforms.</li>\n<li>Maintain accurate and detailed records of experimental protocols, results, and conclusions.</li>\n<li>Present key research findings at internal meetings and seminars, and external conferences.</li>\n<li>Provide guidance and mentorship to Research Associates.</li>\n<li>Stay updated on advancements in the field of functional genomics, synthetic biology, and drug delivery by reading the literature and attending conferences.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD in cell or molecular biology, genetics, biochemistry, bioengineering, or a related field with 0-5 years of relevant post-PhD experience.</li>\n<li>Deep hands-on experience in pooled screening with end-to-end ownership.</li>\n<li>Demonstrated track record of developing and validating novel quantitative molecular assays.</li>\n<li>Fluency with mammalian cell culture and cell engineering.</li>\n<li>Proficiency with flow cytometry.</li>\n<li>Ability to analyze large and complex data sets using Python, R, or similar tools.</li>\n<li>Strong quantitative aptitude and rigorous approach to experimental design.</li>\n<li>Strong project management skills with the ability to plan, execute, and deliver results on time.</li>\n<li>Excellent written and verbal communication skills.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with mammalian synthetic biology, protein engineering, directed evolution, or deep mutational scanning.</li>\n<li>Experience with relevant cell biology or virology.</li>\n<li>Experience with computational protein design or genome mining.</li>\n<li>Experience with animal handling and procedures.</li>\n</ul>\n<p>The base salary range for this position is $121,250 to $159,500.</p>","enriched_at":1792844045564}],"category_normalised":[{"category":"research","count":17},{"category":"human resources","count":3},{"category":"operations","count":2},{"category":"engineering","count":2},{"category":"legal","count":1},{"category":"data science","count":1},{"category":"communications","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-19","count":25},{"week_start":"2026-10-26","count":2}],"trend":"stable","wow_pct":-92},"momentum":{"recent_14d":27,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":140375,"industry_median":null,"percentile":null,"sample_size":25,"by_region":[{"region":"United States","company_median":140375,"industry_median":null,"sample":25}],"transparency_pct":100,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":27,"industry_total":27,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.165,"skill_weighted_score":0.153,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Python","count":4,"score":0.221},{"skill":"Molecular Biology","count":5,"score":0.208},{"skill":"Genomics","count":3,"score":0.061},{"skill":"Computational Biology","count":3,"score":0.061}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":27,"share_pct":100}],"emerging":[{"region":"United States","recent_30d":27,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":5,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Senior Director, Disease Biology","location":"Palo Alto, CA","posted_at":"2026-10-24"},{"title":"Head of Brand and Editorial","location":"Palo Alto, CA","posted_at":"2026-10-24"},{"title":"Director, Machine Learning, Virtual Cell Initiative","location":"Palo Alto, CA","posted_at":"2026-10-24"},{"title":"Director, Machine Learning, Alzheimer's Disease Initiative","location":"Palo Alto, CA","posted_at":"2026-10-24"},{"title":"Chief of Staff","location":"Palo Alto, CA","posted_at":"2026-10-24"}]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":4}}}}