{"id":2109249,"url":"https://alion.io/job/path-clinical-ai-fellow-ai-digital-data","title":"Clinical AI Fellow, AI, Digital & Data","company":{"id":5613,"name":"PATH","domain":"path.org","url":"https://alion.io/company/path","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":32,"ghost_share":0,"stale_share":0.938,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Sales","role_family":"Sales","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":134000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-08T21:39:29Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-23T18:46:35Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"PATH current employees - please log in and apply Here\nPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.\nAbout AI for Health \nPATH’s Artificial Intelligence (AI) Initiative is our flagship technical team working across divisions to deliver best-in-class evaluation and implementation of AI in health, spanning model evaluation to product development and service innovation. We aim to use AI to address the world’s largest health inequities.\nWe’re looking for a clinician with research experience to help deliver PATH’s work evaluating whether different AI models and products can provide safe and effective mental health/wellbeing support for those most in need. You will collaborate with leading AI evaluation labs and with clinical, research, lived experience, and policy experts across sub-Saharan Africa and the UK to develop new ways of contextualising evaluation so that we can better understand what works, for whom, and in which contexts. You’ll bring clinical expertise to the design and execution of our evaluations, as well as coordinate day-to-day delivery across an international consortium. This role is a strong fit for an early-career clinical psychologist or medical doctor with a demonstrated interest in psychiatry who wants their work to change how AI is built and used for mental health.\nResponsibilities:\nBring Clinical Expertise to Evaluation\nContribute to evaluation design, including which AI systems we test, who we test them for, how we test them, and how we learn from our partners to refine our approach. Keep this all current as the field evolves. \nGround our simulated users/patients and automated (LLM) judges in clinical practice: help our partners specify personas and presentations and draft behaviour rubrics, and review transcripts for clinical errors before they go to the panels of clinicians and lived experience experts in each country. Expect to work hands-on alongside our partners. \nLead PATH’s evaluation of consumer AI products, from general-purpose assistants to dedicated mental health apps, while tailoring evaluations to specific populations, cultures, and languages. Coordinate with developers on evaluation of their models and products. \nCo-author research on new methods for contextualised AI evaluation with consortium partners, bringing clinical expertise to how we build and validate simulated users/patients and LLM-judges. \nCoordinate Delivery across the Consortium\nCoordinate day-to-day delivery across our partners in South Africa, Kenya, Ghana, the UK, and the US (each of whom leads their own strand of the work): work with our ops team to track progress, organise working meetings, follow up on actions, and solve problems as they appear. \nMatrix manage members of the AI4Health team supporting the delivery of consumer AI product evaluations, including both fellows doing their PhDs (whom you will contribute to the supervision of), as well as peers leading engineering for the programme. \nContribute to donor reports and to presentations for funders and external audiences. \nPublish Evidence\nPrepare content for a website presenting all results of PATH’s AI evaluations in mental health, including plain-language summaries for people seeking support; contribute to writing seminal reports on the state of AI safety and effectiveness for global mental health; and support presentation of evidence to international commissions and panels. \nWrite up our results for high-impact academic venues and established policy fora. \nContribute to the Broader AI programme\nSupport research and related activities led by other members of the AI team (where your expert skill set is relevant, and sometimes just as another pair of hands), including the soon-to-be-launched ‘Nature Commission on Consumer AI and Wellbeing’ for which PATH is hosting the secretariat. \nThis is a full-time post based in London. You’ll report to PATH’s Deputy Director for AI for Health. This role includes international travel to partner sites and convenings (around 10-15% of time). \nRequired Skills and Experience\nQualification as a clinical psychologist (DClinPsy or equivalent), or as a medical doctor with experience of, or a clear interest in, psychiatry. \nAt least two years’ clinical experience since qualifying as a clinical psychologist or doctor. \nResearch experience, with evidence of scientific writing (e.g., publications, preprints, or a doctoral thesis). \nExpertise/experience in measurement and evaluation methods-reliability, validity, inter-rater agreement. \nSome programming experience (e.g., Python or R), and hands-on use of LLMs (e.g., writing prompts, or writing and testing rubrics). \nExcellent written and verbal communication for scientific, clinical, public, and policy audiences. \nAbility to coordinate work and deadlines across complex, multi-stakeholder projects. \nPreferred Qualifications\nResearch experience in digital mental health or experience evaluating digital health products (including their clinical safety). \nExperience working with collaborators or patients in low- and middle-income countries, ideally in sub-Saharan Africa. \nExperience coordinating a multi-partner or multi-site research program. \nResearch experience in simulating users or patients with LLMs, validating automated judges against human raters, or building LLM-based evaluation pipelines. \nExperience of industry engagement and/or evaluation governance. \nExperience working with lived experience or patient and public involvement panels.\nWe know great candidates won’t always meet every listed qualification. Research shows that some groups, on average, are more likely to self-select out if they feel they don’t meet all requirements. If you’re excited about the role and think you’d be a good fit, we encourage you to apply.\nTo be selected, you must have legal authorization to work in the United Kingdom.","description_format":"text","description_chars":6127,"description_truncated":false,"requirements":{"experience_years_min":2,"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 Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Vaccines","Nonprofits & Foundations","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-10-08T21:39:29Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.568,"p_room":0.55,"age_days":16,"expected_fill_days":16,"reasons":["conf:35","stale_co","velocity","win:tail"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/path-clinical-ai-fellow-ai-digital-data","json_url":"https://alion.io/job/path-clinical-ai-fellow-ai-digital-data.json","meta":{"generated_at":"2026-10-25T20:19:56Z","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":28815,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":5613},"rest":"https://alion.io/mcp/rest/get_company?id=5613"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpath-clinical-ai-fellow-ai-digital-data"},{"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%2Fpath-clinical-ai-fellow-ai-digital-data"},{"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%2Fpath-clinical-ai-fellow-ai-digital-data"},{"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/path-clinical-ai-fellow-ai-digital-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpath-clinical-ai-fellow-ai-digital-data"}]}