{"id":3534851,"url":"https://alion.io/job/johnson-johnson-post-doc-aiml-and-optimization","title":"Post Doc - AI/ML and Optimization","company":{"id":14152,"name":"Johnson & Johnson","domain":"jnj.com","url":"https://alion.io/company/jnj","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":185,"ghost_share":0,"stale_share":0.746,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":224000,"period":"year","method":"role_country_seniority_unknown","sample_n":3270},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DSPy","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Optuna","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"XGBoost","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"GitLab","optional":true},{"name":"Jenkins","optional":true},{"name":"Kedro","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-30T17:13:47Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T13:42:23Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.\nAs guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.\nJob Function:\nCareer ProgramsJob Sub Function:\nPost Doc - Data Analytics & Computational SciencesJob Category:\nCareer ProgramAll Job Posting Locations:\nCambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of AmericaJob Description:\nAbout Innovative Medicine\nOur expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.\nJoin us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.\nLearn more at https://www.jnj.com/innovative-medicine\nJ&J Innovative Medicine - Data, Data Science, and AI - Global Development (DDSAI GD) is recruiting a Postdoctoral Scientist - AI/ML and Optimization. The ideal candidate will apply machine learning (ML), generative AI (GenAI), and optimization techniques to develop computational solutions that support and enhance global clinical operations, including enrollment forecasting, cost estimation and optimization, and country and site selection.\nKey Responsibilities\nConduct research, build, test, and improve ML, GenAI, optimization pipelines for clinical development and trial operations.\nAnalyze, prepare, and leverage operational, RWD, and cost data to build ML models and optimization engines to 1) predict outcomes of interest, 2) highlight tradeoffs between competing trial objectives, 3) recommend optimal operational scenarios, and 4) generate actionable insights, enabling early intervention and risk management.\nDevelop and evaluate LLM-enabled workflows for document extraction, protocol comparison, trial similarity assessment, data harmonization, clinical-concept interpretation, and eligibility-criteria assessment.\nStochastic simulations to forecast operational and patient journey outcomes including enrollment and patient study completion.\nDesign experiments and tailored evaluation metrics and frameworks to support validation, monitoring, data-quality, and responsible-AI practices.\nContribute reusable code, data pipelines, documentation in collaboration with data scientists, engineers, and clinical-development partners.\nCommunicate research findings, analytical methods, and recommendations clearly to technical and non-technical stakeholders and contribute to internal or external scientific dissemination.\nRequired Qualifications\nA Ph.D. degree, completed or expected before the start date, in computer science, statistics, biostatistics, biomedical informatics, epidemiology, health economics, applied mathematics, engineering, or another quantitative discipline.\nHands-on experience with multi-modal ML predictive modeling and stochastic simulations for time-series forecasting.\nExperience with GenAI and clinical LLMs for document parsing, clinical concept disambiguation, or harmonization.\nExperience building multi-objective optimization engines to navigate complex trade-offs using evolutionary algorithms, reinforcement learning, or mixed-integer linear programming.\nProficiency with programming languages Python and SQL,\nExperience with python LLM tools (e.g., DSPy, LangChain), optimization tools (e.g., pymoo) and ML tools (e.g., Scikit-learn, XGBoost, Optuna, PyMc),\nFamiliarity with clinical operational data, real world data, electronic health records and claims, and financial data.\nA record of scientific communication through publications, conference presentations, open-source contributions, or equivalent research outputs.\nPreferred Qualifications\nExperience with EHR, claims, registry, CTMS, EDC, or clinical-trial data and related privacy and data-quality practices.\nExperience in MLOps practices and tools (MLflow, Kedro); Git usage, CI/CD stacks (Jenkins, GitLab) DevOps tools.\nJohnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.\nJohnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.\n#LI-GR\n#LI-Hybrid\n#JRDDS \n#JNJDataScience \n#JRD\nRequired Skills:\nPreferred Skills:","description_format":"text","description_chars":5589,"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":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Prescription Drugs","Surgical Instruments & Devices","Orthopedic & Spine Implants"],"lifecycle":[{"event":"open","at":"2026-10-30T17:13:47Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 66 · green card filings: 18","filings_12m":66,"filings_prev_12m":43,"green_card_filings_12m":18,"median_offered_wage_usd":166964,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.624,"p_room":1,"age_days":1,"expected_fill_days":10,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/johnson-johnson-post-doc-aiml-and-optimization","json_url":"https://alion.io/job/johnson-johnson-post-doc-aiml-and-optimization.json","meta":{"generated_at":"2026-11-01T16:01:26Z","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":24657,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":14152},"rest":"https://alion.io/mcp/rest/get_company?id=14152"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjohnson-johnson-post-doc-aiml-and-optimization"},{"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%2Fjohnson-johnson-post-doc-aiml-and-optimization"},{"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%2Fjohnson-johnson-post-doc-aiml-and-optimization"},{"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/johnson-johnson-post-doc-aiml-and-optimization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjohnson-johnson-post-doc-aiml-and-optimization"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3534851}},{"tool":"search_jobs","arguments":{"company":"jnj.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3534851},"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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