{"id":1238219,"url":"https://alion.io/job/nabla-applied-aibio-scientist","title":"Applied AI/Bio Scientist","company":{"id":2001291,"name":"Nabla Bio","domain":"nabla.bio","url":"https://alion.io/company/nabla-bio","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-04T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":246000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":334},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2025-08-25T19:56:59Z","employer_posted_date":"2025-08-25","last_verified_at":"2026-10-04T23:28:48Z","board_verified":true,"closed_at":null,"days_open":405,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":404},"description":"Nabla Bio is building AI to design new medicines. We combine cutting-edge ML with fast, human-relevant lab validation to create biomolecules on demand. This lets us go after hard diseases and build new drug formats that traditional approaches can’t reach. We’re backed by top investors like Radical and Khosla Ventures and have forged significant partnerships with leading pharma companies.\nThe Role\nWe’re hiring an exceptionally driven Applied AI/Bio Scientist to help push the boundaries of what’s possible in therapeutic design. You'll work across the full discovery stack - using state-of-the-art AI to tackle real therapeutic challenges and design drug candidates that were previously out of reach. This is an in-person role in Cambridge, MA. You will:\nApply and adapt frontier AI models to design biologics that push the limits on format, precision, and function.\nPartner closely with internal and external scientists and engineers to advance molecules toward their Target Product Profiles.\nCollaborate with AI research and engineering teams to improve core models and infrastructure for future discovery.\nLeverage modern AI dev tooling to move fast and stay focused on high-value work\nQualifications\n4+ years of experience developing or applying AI in biology, chemistry, or physics; therapeutic experience is a plus.\nExperience collaborating with wet-lab teams or direct experience with biological experiments.\nStrong fluency in Python.\nFamiliarity with HPC environments (e.g., Kubernetes, SLURM).\nExperience with deep learning frameworks like PyTorch.\nHigh agency and a track record of shipping quickly with quality\nWhat We Offer\nA dry- and wet-lab team and platform that lets you generate and test high-impact therapeutic ideas in days or weeks, not months.\nThe chance to shape the next generation of drugs, both through Nabla’s internal pipeline and in partnership with world-class Top-10 pharma partners.\nA team that deeply values technology and prioritizes technical excellence and rapid execution across AI and biology.\nHighly competitive salary, equity, and benefits package.\nNabla Bio is an equal opportunity employer. We welcome applicants from all backgrounds and experiences, and strongly encourage candidates from underrepresented groups in science and technology to apply.","description_format":"text","description_chars":2293,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T16:19:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":182500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":2}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.155,"p_room":0.28,"age_days":404,"expected_fill_days":26,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nabla-applied-aibio-scientist","json_url":"https://alion.io/job/nabla-applied-aibio-scientist.json","meta":{"generated_at":"2026-10-05T00:20:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":304,"day_limit":5000,"remaining_today":4696,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}