{"id":3738705,"url":"https://alion.io/job/astrazeneca-ai-research-scientist","title":"AI Research Scientist","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":93,"open_postings":167,"ghost_share":0.012,"stale_share":0.383,"repost_share":0.108,"time_to_fill_p50_days":19,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":{"min":124713,"max":187070,"currency":"USD","period":"year","gross":null,"usd_annual":187070},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-08T18:53:20Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Senior Scientist, AI for Oncology Clinical Development\nLocations: Cambridge, USA (3 days in office, 2 days remote)\nJoin AstraZeneca: Where AI Meets Life-Changing Impact\nWhat if your AI research could help transform not only how medicines are discovered, but how they reach patients?\nDrug discovery has benefited enormously from advances in artificial intelligence. Yet clinical development, one of the most consequential stages in bringing new treatments to patients, remains an extraordinary opportunity for innovation.\nWithin AstraZeneca’s AI for Clinical Development team, we are reimagining that journey. Our ambition is to use AI, machine learning, statistics, and computational science to help bring safe and effective treatments to patients faster, more efficiently, and with less burden on those participating in clinical research.\nWe are looking for a Senior Scientist, AI for Oncology Clinical Development who can combine outstanding machine learning expertise with the curiosity and drive to solve complex, high-impact scientific problems.\nWhat you’ll do\nAs a technical contributor, you will work in cross-functional, matrixed teams to address some of AstraZeneca’s most important clinical development questions.\nYou will have the opportunity to:\nLead the technical delivery of complex, high-stakes AI initiatives.\nEvaluate and develop advanced AI methods across problem definition, data strategy, governance, algorithm development, validation, and adoption.\nCreate and validate novel AI solutions for clinical study design, execution, strategy, and decision-making.\nApply data, models, and insights across cancer biology and multiple drug modalities.\nCollaborate across key Oncology areas, including hematology, cell therapy, antibody-drug conjugates, small molecules, and biologics.\nBuild external collaborations with academic institutions, technology partners, and industry consortia.\nRepresent AstraZeneca at scientific conferences, standards bodies, and peer-reviewed venues.\nContribute first-author research to leading machine learning and clinical AI journals.\nHelp shape and share technical knowledge, standards, and effective practices across the team. \nThis is an opportunity to invent new approaches and then see them applied to real clinical-development challenges, with the potential to measurably advance AstraZeneca’s late-stage Oncology pipeline.\nEssential experience\nYou will have:\nA PhD in a quantitative discipline such as computer science, mathematics, physics, biophysics, bioinformatics, computational biology, computational neuroscience, or biostatistics.\nExceptional software-development and coding skills, including experience using frontier coding-agent frameworks.\nA deep understanding of machine learning fundamentals.\nStrong expertise in one or more of the following areas: Training and tuning foundation models Bayesian inference Temporal modelling Reinforcement learning Multimodal integration and modelling Model calibration and domain adaptation Data-centric AI, including dataset creation, curation, post-training, benchmarking, and evaluation Model and data evaluation Model interpretability Model post-training and alignment Multi-agent systems and agent harnesses \nDesirable experience\nYour application will be strengthened by experience in one or more of the following:\nBiology or biomedical research.\nApplying machine learning to molecular data, including DNA, RNA, or proteins.\nWorking with imaging data such as radiology or microscopy.\nWorking with clinical text, electronic health records, or clinical notes.\nClinical trial design, biomarker discovery, companion diagnostics, dosing, safety, endpoints, or regulatory science.\nDelivering models, patents, software-as-a-medical-device filings, first-author publications, open-source projects, or standards-body contributions.\nMaintaining strong connections with the wider machine learning research community.\nWorking effectively across global, matrixed organizations, sites, and therapy areas.\nUsing agentic tools to augment rigorous scientific and technical work.\nAssessing emerging AI research and distinguishing meaningful advances from hype.\nWhy join us?\nThis is not AI research at arm’s length from its application. You will work alongside scientists, clinicians, statisticians, and technologists on difficult problems where robust technical innovation can support meaningful clinical decisions.\nYou will join an environment that combines world-class science with cutting-edge technology, encourages collaboration across disciplines, and applies AI where it can make a tangible difference for patients. AstraZeneca’s Enterprise AI messaging emphasizes real-world impact, complex problems, scientific and technological collaboration, and autonomy to innovate within responsible frameworks.\nIn Oncology, you will contribute in an interdisciplinary setting where AI, novel biomarkers, endpoints, and innovative trial designs can create new possibilities for clinical development.\nBring your expertise. Challenge established approaches. Help shape how AI advances Oncology clinical development.\nReady to make an impact?\nIf you are motivated by technically ambitious AI research and want to see your work applied to some of the most important challenges in Oncology, we would welcome your application.\nJoin AstraZeneca, where AI meets life-changing impact.\n The annual base pay for this position ranges from $124,713.60 - $187,070.40 annually. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.\nDate Posted\n03-nov-2026Closing Date\n16-nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.","description_format":"text","description_chars":6301,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Rare Disease Therapeutics","Cardiometabolic Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-04T10:54:37Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":19,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":187070,"is_top_pay":false},"html_url":"https://alion.io/job/astrazeneca-ai-research-scientist","json_url":"https://alion.io/job/astrazeneca-ai-research-scientist.json","meta":{"generated_at":"2026-11-08T23:01:58Z","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":47961,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":13195},"rest":"https://alion.io/mcp/rest/get_company?id=13195"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fastrazeneca-ai-research-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fastrazeneca-ai-research-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fastrazeneca-ai-research-scientist"},{"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/astrazeneca-ai-research-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fastrazeneca-ai-research-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3738705}},{"tool":"search_jobs","arguments":{"company":"astrazeneca.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3738705},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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