{"id":3430475,"url":"https://alion.io/job/johnson-johnson-senior-data-scientist-rd-ddsai-small-molecule-discovery","title":"Senior Data Scientist - R&D DDSAI - Small Molecule Discovery","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":179,"ghost_share":0,"stale_share":0.777,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain","Beerse, Belgium","Cornellà de Llobregat, Spain","United States"],"countries":["ES","BE","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":234000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T21:17:23Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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:\nData Analytics & Computational SciencesJob Sub Function:\nData ScienceJob Category:\nScientific/TechnologyAll Job Posting Locations:\nBeerse, Antwerp, Belgium, Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain, Spring House, Pennsylvania, United States of AmericaJob Description:\nJohnson & Johnson Innovative Medicine is seeking a Senior Data Scientist dedicated to our Small Molecule Discovery organization. This role sits within our Data Science team and partners closely with medicinal chemists, automation scientists, data engineers, computational scientists, and technology teams to ensure that small-molecule discovery data are transformed into trusted, reusable, AI-ready assets.\nThe role operates at the intersection of scientific discovery, data science, and scientific data engineering. You will help shape how molecular, synthesis and purification, and assay data are represented, connected, and leveraged to support scientific decision-making, advanced analytics, machine learning, and emerging AI capabilities throughout the discovery lifecycle.\nWhy this role matters: Small Molecule Discovery generates large volumes of complex and interconnected data across design, synthesis, purification, characterization, and testing workflows. Realizing the full value of these data requires more than traditional analytics. It requires deep understanding of how scientific workflows generate data, how those data should be modeled and governed, and how they can be transformed into reusable assets for decision support, machine learning, and AI-enabled discovery.\nThis role serves as a critical bridge between scientific workflows and modern data platforms, ensuring that discovery data can be effectively leveraged to accelerate insight generation, improve data quality, and enable next-generation AI applications developed by our partners in our In Silico Discovery.\nPosition Summary\nAs a Senior Data Scientist, Small Molecule Discovery, you will design and develop data assets, analytical solutions, and scientific data workflows to support discovery research across the Design-Make-Test-Analyze cycle.\nYou will work closely with discovery scientists, automation teams, and technology partners to transform complex scientific data into scalable, well-governed, and AI-ready resources. You will bring deep understanding of small-molecule discovery data and modern data science practices to help establish robust foundations for analytics, machine learning, and digital laboratory initiatives.\nKey Responsibilities\nScientific Data Products & Analytics\nDesign, develop, and maintain high-quality data assets that support small-molecule discovery workflows.\nTransform molecular, synthesis and purification, and assay data into reusable datasets that support scientific decision-making and machine learning applications.\nPartner with scientists and technology teams to define data requirements, business rules, and analytical use cases.\nDevelop scalable analytical workflows using modern cloud data platforms and scientific computing tools.\nApply data science methodologies to extract insights from complex discovery datasets.\nDiscovery Data & AI Readiness\nEnsure scientific data are structured, documented, and represented in ways that support advanced analytics and AI applications.\nContribute to the development of data standards, metadata practices, and data quality frameworks for discovery data.\nPartner with data engineering teams to ensure discovery data products are scalable, traceable, and reproducible.\nSupport the creation of model-ready datasets for machine learning and scientific AI initiatives.\nEvaluate emerging opportunities to apply AI and advanced analytics within discovery workflows.\nScientific Partnership & Technical Leadership\n\nServe as a trusted technical partner to medicinal chemists, automation scientists, and in silico discovery teams.\nTranslate scientific workflows and requirements into computational and data solutions.\nContribute to best practices in scientific computing, data management, and reproducible research.\nMentor colleagues on modern data science approaches and scientific data practices.\nFoster collaboration across scientific, technical, and data-focused teams.\nWhat Success Looks Like\nHow the role builds an essential part of our R&D engine\nTrusted discovery data assets-\nMolecular, reaction, assay, and process data are consistently available, documented, and reusable.\nAI-ready scientific data-\nHigh-quality, model-ready datasets accelerate analytics, machine learning, and AI initiatives.\nImproved scientific decision-making-\nScientists can more easily access and interpret critical discovery information.\nConnected discovery workflows-\nData from synthesis, purification, assay, and automation workflows are integrated and accessible.\nSustainable technical foundations-\nScalable solutions support long-term growth of discovery data and AI capabilities.\nQualifications\nRequired\nMaster's degree or Ph.D. in Chemistry, Cheminformatics, Data Science, Computer Science, Pharmaceutical Sciences, Chemical Engineering, or a related scientific discipline.\n5+ years of industry experience in pharmaceutical, biotechnology, or life sciences research environments.\nStrong understanding of small-molecule discovery workflows, including molecular structures, reaction data, synthesis workflows, and structure-activity relationships.\nAdvanced proficiency in Python and SQL.\nExperience developing solutions on modern cloud data platforms, including Databricks and Snowflake.\nSignificant experience working with molecular and reaction data using scientific software libraries and toolkits such as RDKit.\nExperience designing analytical workflows and data models for complex scientific datasets.\nUnderstanding of data engineering concepts including data modeling, metadata management, lineage, reproducibility, and data quality.\nAbility to collaborate effectively with scientists, engineers, and technology partners in a matrixed R&D environment.\nStrong communication skills and the ability to translate between scientific and technical audiences.\nPreferred\nExperience supporting medicinal chemistry, synthesis, compound registration, or screening workflows.\nFamiliarity with automated synthesis, laboratory automation, and high-throughput experimentation environments.\nExperience working with reaction informatics, reaction registration, or scientific workflow platforms.\nExperience with OpenEye scientific software.\nExperience developing machine learning solutions for molecular, reaction, or experimental datasets.\nFamiliarity with FAIR data principles and scientific data governance practices.\nExperience working with graph-based, semantic, or ontology-driven approaches to scientific data integration.\nKnowledge of modern software engineering practices including testing, version control, CI/CD, and cloud-native development.\nWhy This Role Is Unique\nThis is an opportunity to shape how small-molecule discovery data enables the next generation of scientific research and AI-driven drug discovery. You will work at the intersection of experimental science, data science, and technology, helping transform diverse scientific data into connected, trustworthy, and reusable assets that accelerate discovery outcomes across Johnson & Johnson Innovative Medicine.\nIdeal Candidate Profile\nThe ideal candidate combines strong data science capabilities with deep understanding of small-molecule discovery data and scientific workflows. They are equally comfortable discussing reaction data with medicinal chemists, designing scalable solutions with engineers, and developing analytical approaches that support discovery decisions. They are curious, collaborative, technically rigorous, and motivated by the opportunity to use data and AI to help bring better medicines to patients.\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.\nJNJIMRND-DS\nRequired Skills:\nPreferred Skills:\nAdvanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow AnalysisThe anticipated base pay range for this position is :\nAdditional Description for Pay Transparency:\nSubject 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)).This position is eligible to participate in the Company’s long-term incentive program.\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: - 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