{"id":3377212,"url":"https://alion.io/job/johnson-johnson-post-doc-rd-immunology-population-analytics-insights","title":"Post Doc, R&D Immunology - Population Analytics & Insights","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":85,"open_postings":173,"ghost_share":0,"stale_share":0.815,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Spring House, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":222000,"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":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"LLM","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T20:59:25Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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 - R&D Product DevelopmentJob Category:\nCareer ProgramAll Job Posting Locations:\nSpring House, Pennsylvania, 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. Join 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\nJohnson and Johnson Innovative Medicine (JJIM) is recruiting a Postdoctoral Scholar to work within the group (Data Sciences organization) on drug target identification and evaluation to support alignment of priorities with the Immunology therapeutic area.\nThe primary location for this position is Spring House, PA\nThe Data Science Analytics & Insights organization develops innovative solutions using a variety of data sources across multiple different diseaseareas. We are looking for a highly motivated and self-driven individual who will creatively analyze large-scale clinical, genetic, omics and cell phenotype data to advance our drug discovery pipeline in R&D.\nAt J&J, we strive to bring in the brightest minds in pursuit of developing effective and safe therapeutics for patients around the globe.\nRole & responsibilities:\nConstruct an analytic framework by integrating perturbation, ontology and cellular phenotyping with molecular based datasets including genomics, transcriptomics, proteomics, to further enhance target evaluation, and patient stratification.\nUse multiple inference and ML methods linking molecular targets to disease states/characteristics, to associate targets with disease pathways, and to validate predicted mechanisms systematic on-/off-target toxicity predictions. These approaches require innovative computational methods such as network-based models, machine learning, and novel algorithmic approaches to mining biological data.\nProvide scientific technical expertise in modeling multimodal data (including genetic, transcriptomics, proteomic and functional data) to predict target pathway activity and synergistic effects.\nApply or develop a wide variety of statistical modeling and AI/ML methods to analyze phenomic, multiomic and biobank level data to identify targets associated therapeutic with clinical and/or molecular segments and biomarkers associated with immune mediated diseases.\nProvide design and analysis consultation for questions of interest to our Immunology colleagues and facilitate interactions between colleagues across the organization.\nTranslate findings from computational analyses to support functional, biological and pharmacological validation.\nJob Qualifications:\nRequired skills\nA Ph.D. in a quantitative field with a strong biological basis - Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, or related fields.\nCompleted PhD program.\nExperience with multi-omic data (RNA gene expression, proteomics, epigenomics, genetics) at both bulk and single cell level.\nWorking knowledge of databases and analytic approaches associated with gene/pathway ontology, such as network analysis.\nProficient in programming and computational skills and demonstrated ability to work with a group of scientists to deliver on objectives in defined timelines.\nIndependent, self-motivated, innovative, and able to excel in a goal-oriented, multifaceted and fast-moving team environment.\nOutstanding communication, organizational and leadership skills, with a successful track record of publication and collaboration with cross-functional scientific teams.\nPreferred skills\nExperience working with Immunology projects.\nExpertise in perturbation data and analysis.\nExperience with advanced analytical approaches (NLP, ML/AI, LLM) to extracting relevant sources of annotation of cellular states, functions and localization from unstructured data.\nExperience with predictive models associated with evaluation of target engagement and druggability.\nExperience with drug discovery and development practices and project support in a large pharmaceutical setting.\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 and 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, please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.\nRequired Skills:\nPreferred Skills:\nThe anticipated base pay range for this position is :\n$79,000.00 - $127,650.00Additional Description for Pay Transparency:\nubject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits\nSubject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:\nVacation -120 hours per calendar year\nSick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year\nHoliday pay, including Floating Holidays -13 days per calendar year\nWork, Personal and Family Time - up to 40 hours per calendar year\nParental Leave - 480 hours within one year of the birth/adoption/foster care of a child\nBereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year\nCaregiver Leave - 80 hours in a 52-week rolling period10 days\nVolunteer Leave - 32 hours per calendar year\nMilitary Spouse Time-Off - 80 hours per calendar year\nFor additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits","description_format":"text","description_chars":7361,"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":["Military spouse friendly","Parental 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