{"id":2743994,"url":"https://alion.io/job/johnson-johnson-principal-scientist-ai-native-discovery-large-molecules","title":"Principal Scientist, AI-Native Discovery (Large Molecules)","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":189,"ghost_share":0,"stale_share":0.746,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States","Cambridge, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":117000,"max":201250,"currency":"USD","period":"year","gross":null,"usd_annual":201250},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-10-16T21:50:15Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-02T14:59:14Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"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:\nDiscovery & Pre-Clinical/Clinical DevelopmentJob Sub Function:\nPharmaceutical Product R&DJob Category:\nScientific/TechnologyAll Job Posting Locations:\nCambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of AmericaJob Description:\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\nJohnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, AI-Native Discovery (Large Molecules) to join our In Silico Drug Discovery team. This position will be located in either Spring House, PA (preferred); Cambridge, MA; or San Diego, CA (La Jolla area) and may require some travel as needed. (No remote option.) \n\nThe Opportunity\nWe are seeking a creative, highly collaborative, and self-motivated Principal Scientist to join our In Silico Discovery (ISD), In Silico Biologics team. In this role, you will help shape the future of AI-native biologics discovery by integrating advanced AI, agentic workflows, predictive modeling, and computational design into Therapeutic Discovery programs. You will represent In Silico Discovery on cross-functional project teams, integrating broader ISD capabilities and AI-native approaches.\nThe ideal candidate combines experience influencing cross-functional discovery programs with therapeutic development expertise and a passion for using AI to generate insights, inform experimental strategies, and improve discovery decisions. You will help build new ways of working that integrate human scientific judgment, machine intelligence, experimental data and computational methods, while leveraging capabilities from across ISD and the broader J&J technical community.\nThis is an opportunity to join a diverse, global community of in silico scientists and contribute directly to the discovery of innovative medicines for patients.\n\nWhat You Will Do\nPartner closely with teams across In Silico Discovery to connect biologics discovery programs with relevant computational capabilities and AI-enabled approaches.\nPartner with Biologics Discovery and Therapeutic Area teams to apply AI-enabled computational design, analysis, and decision support in Therapeutic Discovery programs.\nRepresent In Silico Discovery on cross-functional project teams and apply AI-enabled computational insights to support program strategy and decision-making.\nApply predictive modeling, machine learning, generative approaches, agentic AI, structural modeling, and computational biology to support experimental strategy and biologic candidate design and optimization.\nAdvance AI-native workflows that connect hypothesis generation, computational design, experimental testing, and model refinement to accelerate learning and decision-making.\nEvaluate emerging technologies and contribute scientific recommendations to internal development, acquisition, partnering, licensing, or M&A opportunities.\nChampion the responsible and scientifically rigorous adoption of AI and contribute to an innovative culture that values collaboration, experimentation, continuous learning, and knowledge sharing.\nMaintain awareness of advances in AI, computational biology, structural modeling, and biologics design.\nContribute to Johnson & Johnson’s external scientific presence through peer-reviewed publications, conference participation, and collaboration with external organizations.\n\nHow You Will Make an Impact\nYou will help define how AI becomes an integral part of biologics discovery, enabling new approaches to scientific learning and decision-making.\nBy connecting human expertise, AI models, computational design, experimental workflows, and high-quality data, you will help create a more predictive, scalable, and adaptive discovery environment. Your work will contribute to faster learning cycles, stronger design decisions, and the advancement of differentiated biologic medicines for patients.\n\nWhy Join Us\nShape AI-native ways of working across biologics discovery.\nApply emerging AI capabilities to meaningful therapeutic challenges.\nWork across computational science, experimental biology, data science, and drug development.\nRequired Qualifications\nPhD in a relevant scientific or technical discipline and a minimum of 4 years of relevant drug discovery experience, including experience contributing to cross-functional discovery teams.\nKnowledge of biologics discovery, candidate optimization, and therapeutic development processes.\nStrong scientific leadership, communication, and stakeholder management skills, including the ability to organize and communicate complex data, models, and scientific concepts clearly to partners with diverse technical backgrounds.\nDemonstrated expertise in AI, machine learning, agentic AI, structural modeling, computational biology, or computational approaches for antibody design and optimization.\nExperience representing a computational function on cross-functional projects and integrating computational and experimental data to inform program strategy and scientific decisions.\nHands-on experience with large-scale scientific data curation, aggregation, manipulation, integration, mining, and analysis across structured and unstructured data sources.\n\nPreferred Qualifications\nExperience in therapeutic target analysis, structural biology, antibody-antigen interaction modeling, computational protein design, and scientific data visualization.\nExperience with multimodal biological data, generative modeling, foundation models, AI agents, or iterative design-build-test-learn workflows.\nExperience developing, scaling, or adopting computational platforms and workflows in partnership with technology development teams.\nA strong publication record and demonstrated contributions to the discovery or advancement of preclinical or clinical candidates.\nExperience collaborating with academic institutions, biotechnology companies, technology partners, or contract research organizations.\nExperience evaluating emerging computational technologies or external scientific innovation opportunities.\nExperience influencing multidisciplinary discovery teams spanning computational and experimental functions.\nInfluence both portfolio programs and the evolution of enterprise discovery capabilities.\nContribute to a collaborative global scientific community focused on delivering innovative medicines to patients.\nThis position will be located in either Spring House, PA (preferred); Cambridge, MA; or San Diego, CA (La Jolla area) and may require some travel as needed. (No remote option.)\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.\nIf you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.\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.\nThe anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.\nEmployees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).\nEmployees are eligible for the following time off benefits:\nVacation - up to 120 hours per calendar year\nSick time - up to 40 hours per calendar year\nHoliday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year\nAdditional information can be found through the link below. https://www.careers.jnj.com/employee-benefits\nThe compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.\n#LI-SL\n#JNJDataScience\n#JNJIMRND-DS\n#JRDDS\n#LI-Hyrbid\nRequired Skills:\nPreferred Skills:\nBudget Management, Chemistry, Manufacturing, and Control (CMC), Clinical Trial Protocols, Critical Thinking, Cross-Functional Collaboration, Drug Discovery Development, Industry Analysis, Interdisciplinary Work, Market Research, Organizing, Pharmacokinetic Modeling, Process Improvements, Product Development, Product Strategies, Report Writing, Safety-Oriented, Scientific Research","description_format":"text","description_chars":10892,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Life insurance","Retirement 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