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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Transformation - **Company:** Johnson & Johnson - **Location:** Cambridge, MA, United States - **Experience:** Expert - **Salary:** $137,000.0 - $235,750.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Bash Shell, Big Data, Bioinformatics, Clinical Data Management, Clinical Data Repository, Code Review, Encodings, Information Engineering, Data Governance, Data Integration, Data Transformation, Information Extraction, Python (Programming Language), Metadata, Management of Software Versions, Scripting, Fast Healthcare Interoperability Resources, Snowflake, Information Technology, Data Pipelines - **Published:** October 9, 2026 - **Apply:** https://www.careers.jnj.com/en/jobs/r-102878/senior-manager-data-transformation-neuroscience/ ## About the Role * MS/PhD in Bioinformatics, Data Engineering, or Computer Science. * 5+ years of experience developing data pipelines in a life sciences/drug discovery research or analytics environments. Industry and/or Neuroscience experience are preferred. * Hands-on experience with clinical data formats and models (e.g., CDISC SDTM/ADaM, FHIR, OMOP). * Hands-on experience with multi-omics workflows (proteomics, RNA-seq, metabolomics, or single-cell). * Hands-on experience with embedding or vector representation techniques for scientific data integration. * Proficiency with Nextflow, AWS, and scripting in Python or Bash. * Familiarity with Snowflake, TileDB, and scientific data formats. * Familiarity with clinical trial data and scientific literature is required. Experience with an emphasis on Neuroscience (Neurodegeneration, Neuropsychiatry, or Ophthalmology) is preferred. * Detail-oriented, with strong commitment to data quality and reproducibility. Strategic Impact: * Improved interoperability between discovery, translational, and clinical data layers. * Clinical and multi-omics data delivered as standardized, AI-ready assets for analytics and modeling. * Reusable, compliant workflows accelerating scientific and AI insights across the enterprise. 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., Advanced 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 The 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., * Design 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). * Design 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. * Establish reusable modules that standardize assay outputs into harmonized formats ready for data science and AI applications. * Collaborate with the Solution Architect, Vector Data Engineer, and Governance Teams to embed FAIR data principles and compliance requirements into workflows. * Lead pipeline optimization, code review, and development best practices. * Partner with AI/ML Core and Data Scientists to deliver AI-compatible, high-quality datasets for modeling and knowledge extraction. * Mentor junior engineers and drive workflow standardization and optimization across studies., The 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. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The 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.