{"id":1323131,"url":"https://alion.io/job/earli-senior-scientist-bio-ai","title":"Senior Scientist, Bio AI","company":{"id":3780385,"name":"Earli","domain":"earli.com","url":"https://alion.io/company/earli-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":205000,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Shiny","optional":false},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-03-12T17:22:42Z","employer_posted_date":"2026-03-14","last_verified_at":"2026-10-20T17:50:27Z","board_verified":true,"closed_at":null,"days_open":222,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":221},"description":"Earli tackles the #1 problem in the $100B cancer drug market: systemic toxicity. On-target/off-tumor effects force suboptimal dosing, reduced efficacy and sidelining some of the most potent drug classes such as cytokines. Earli’s BioAI approach flips this paradigm: Drugs are produced only where needed-in the tumor, by the tumor, against the tumor. Cancer cells become their own drug factories, enabling localized immune activation, even in cold tumors.\nThis was enabled by three core innovations:\nExtrahepatic lipid nanoparticles (LNPs) that reach tumors such as lung cancer\nAI-designed genetic switches that activate only in malignant cells by sensing transcription factor dysregulation\nLocal production of immune therapies (TCEs, cytokines, multispecifics) at the tumor site - “produce locally, consume locally”\nTogether, these technologies create a new biological control layer, allowing tumors to self-identify and trigger their own targeted immune attack-achieving specificity beyond current targeted or IO therapies.\nEarli plans to enter the clinic by mid-2027 with a Phase 1/2 lung cancer trial. The company is backed by a16z, Khosla, Perceptive, Alex Gorsky, Marc Benioff, Breyer, Emerson Collective, Sands Capital and others. The SAB includes Jim Allison (Nobel Laureate, MD Anderson), Bob Langer (Co-founder Moderna, MIT), Phil Greenberg (Co-founder Juno), Amy Abernethy (frm. Principal Deputy FDA Commissioner), Bill Hait (former J&J EVP Oncology R&D), and Alan Ashworth (President UCSF Cancer Center). The leadership team brings deep gene therapy, LNP, CMC and tech experience; CEO Cyriac Roeding previously led a $250M (11x return) exit.\nWho You Are\nYou share our same sense of dedication, scientific passion and entrepreneurial spirit \nYou work well in a fast-paced and extremely focused startup environment \nYou are not only smart, but clever and constantly think outside the box \nYou are able to make logical decisions in an instant when there is little time to evaluate \nYou are a natural communicator and relationship builder \nYou stay calm under high pressure and stress \nYou have the ability to multi-task in a serious way, with an extreme attention to detail \nYou become a representative of the core DNA of the company through who you are \nThe Position\nEarli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic Bioengineering team.\nYour Primary Responsibilities\nLeverage cutting-edge ML, bioinformatics, and high-throughput assay data to design cancer-specific synthetic promoters and novel genetic medicines that will directly impact Earli’s clinical pipeline.\nTrain generative AI models for designing genetic medicines by leveraging Earli’s proprietary Massively Parallel Reporter Assay (MPRA) data as well as external data sets\nContribute to wet lab experimental design and data evaluation to benchmark AI model performance against ground truth wet lab data and create a rapid iteration loop\nPerform routine computational analyses to analyze MPRA and other large experimental datasets using existing packages as well as bespoke analysis where needed. Provide accessible interfaces (e.g. Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members\nPerform routine bioinformatic analyses on multi-modal omics data (RNAseq and scRNA-seq, ATAC-seq, proteomics, phospho-proteomics etc.) using individual as well as coherent multi-omic ML-based pipelines to identify key dysregulated targets and pathways in selected cancer indications\nRoutinely deploy code and execute on Earli’s infrastructure hosted by Cloud Service Providers (e.g. GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for GPU usage/compute\nYour Required Experience, Knowledge and Skill\nMaster’s or PhD degree in a relevant field (bioengineering, computer science, data science, etc.) with a minimum of 3 years of hands-on experience using AI/ML applied to genomic/bioinformatic data using state-of-the-art GenAI models\nDeep, direct expertise (preferably with high-quality publications) in developing novel GenAI models trained on massive biological data. Hands-on expertise in model training, fine-tuning, and in silico evaluation is a pre-requisite for this role.\nAn expert level of competence in data analysis on large and complex empirical data, such as MPRA data, multi-modal omics data, etc.\nFamiliarity with and prior experience collaborating with wet lab scientists to generate and curate high-throughput screening data on large libraries of DNA or RNA sequences\nProficiency in routine bioinformatic analyses such as differential gene expression, ATAC-seq and RNA-seq analysis, etc.\nExpert level coding skills in Python and R\nBasic knowledge of fundamental cancer biology is required. Deep expertise in cancer -omics, biomarkers, targets and pathways is preferred\nExcellent verbal and written communication as well as interpersonal skills are required\nAble to multi-task, manage multiple projects simultaneously and work effectively within a team\nAbility to think independently and fully integrate into a high achieving team environment\nThe base salary for this position is $205,000-$235,000 per year.\nIf interested in applying, please attach a CV or have a well-developed LinkedIn profile for us to be able to assess your background. \nWe look forward to hearing from you!","description_format":"text","description_chars":5365,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Drug Discovery","Oncology Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-26T23:37:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":2,"green_card_filings_12m":0,"median_offered_wage_usd":142500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.236,"p_room":0.28,"age_days":221,"expected_fill_days":30,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":235000,"is_top_pay":true},"html_url":"https://alion.io/job/earli-senior-scientist-bio-ai","json_url":"https://alion.io/job/earli-senior-scientist-bio-ai.json","meta":{"generated_at":"2026-10-20T20:29:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23775,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3780385},"rest":"https://alion.io/mcp/rest/get_company?id=3780385"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fearli-senior-scientist-bio-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fearli-senior-scientist-bio-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fearli-senior-scientist-bio-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/earli-senior-scientist-bio-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fearli-senior-scientist-bio-ai"}]}