{"id":2292778,"url":"https://alion.io/job/jnj-senior-manager-data-transformation-neuroscience","title":"Senior Manager, Data Transformation - Neuroscience","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":"Management","role_family":"Management","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":["Raritan, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":137000,"max":235750,"currency":"USD","period":"year","gross":null,"usd_annual":235750},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CDISC","optional":false},{"name":"FHIR","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-10-10T00:00:00Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-11-01T03:14:59Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"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 EngineeringJob Category:\nPeople LeaderAll Job Posting Locations:\nCambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, 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 Senior Manager, Data Transformation to join our J&J Research and Development Data, Data Science, and AI (DDSAI) team. This position will be located in either Raritan, NJ; Spring House, PA; Titusville, NJ; or Cambridge, MA, (no remote option), and may require some travel as needed.\n\nPosition Summary:\nThe Senior Manager, Data Transformation leads the development and operationalization of scalable, governed clinical and omics data products that transform raw data into interoperable, reusable, and AI-ready assets. The role owns the end-to-end data product lifecycle, including requirements, data modeling, processing, quality controls, metadata, lineage, versioning, access, and ongoing evolution based on user needs.\nThis role requires both deep technical expertise and understanding of clinical and biological data, enabling cross-domain integration for discovery and translational research.\nKey Responsibilities:\nDesign and implement scalable data models for capturing AI-extracted Neuroscience clinical data from a diverse range of sources (e.g., the scientific literature) and data types (e.g., text, images). \nDesign and optimize Nextflow/Tower pipelines integrating AWS S3, Snowflake, and TileDB for large-scale data processing across proteomics, transcriptomics, metabolomics, and spatial omics from Neuroscience studies. \nEstablish reusable modules that standardize assay outputs into harmonized formats ready for data science and AI applications. \nCollaborate with the Solution Architect, Vector Data Engineer, and Governance Teams to embed FAIR data principles and compliance requirements into workflows. \nLead pipeline optimization, code review, and development best practices. \nPartner with AI/ML Core and Data Scientists to deliver AI-compatible, high-quality datasets for modeling and knowledge extraction. \nMentor junior engineers and drive workflow standardization and optimization across studies. \nQualifications:\nMS/PhD in Bioinformatics, Data Engineering, or Computer Science. \n5+ years of experience developing data pipelines in a life sciences/drug discovery research or analytics environments. Industry and/or Neuroscience experience are preferred.\nHands-on experience with clinical data formats and models (e.g., CDISC SDTM/ADaM, FHIR, OMOP). \nHands-on experience with multi-omics workflows (proteomics, RNA-seq, metabolomics, or single-cell). \nHands-on experience with embedding or vector representation techniques for scientific data integration. \nProficiency with Nextflow, AWS, and scripting in Python or Bash. \nFamiliarity with Snowflake, TileDB, and scientific data formats. \nFamiliarity with clinical trial data and scientific literature is required. Experience with an emphasis on Neuroscience (Neurodegeneration, Neuropsychiatry, or Ophthalmology) is preferred. \nDetail-oriented, with strong commitment to data quality and reproducibility. \nStrategic Impact:\nImproved interoperability between discovery, translational, and clinical data layers. \nClinical and multi-omics data delivered as standardized, AI-ready assets for analytics and modeling. \nReusable, compliant workflows accelerating scientific and AI insights across the enterprise. \nThis position will be located in either Raritan, NJ; Spring House, PA; Titusville, NJ; or Cambridge, MA, (no remote option), and may require some travel as needed. \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 $137,000 to $235,750. 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:\nAdvanced Analytics, Agility Jumps, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Team Management, Technical Development, Technologically Savvy","description_format":"text","description_chars":8137,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Surgical Instruments & Devices","Orthopedic & Spine Implants"],"lifecycle":[{"event":"open","at":"2026-10-11T19:17:54Z"}],"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":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.49,"p_room":0.35,"age_days":22,"expected_fill_days":10,"reasons":["conf:2","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":235750,"is_top_pay":true},"html_url":"https://alion.io/job/jnj-senior-manager-data-transformation-neuroscience","json_url":"https://alion.io/job/jnj-senior-manager-data-transformation-neuroscience.json","meta":{"generated_at":"2026-11-01T09:04:21Z","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":14069,"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%2Fjnj-senior-manager-data-transformation-neuroscience"},{"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%2Fjnj-senior-manager-data-transformation-neuroscience"},{"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%2Fjnj-senior-manager-data-transformation-neuroscience"},{"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/jnj-senior-manager-data-transformation-neuroscience\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjnj-senior-manager-data-transformation-neuroscience"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2292778}},{"tool":"search_jobs","arguments":{"company":"jnj.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2292778},"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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