Senior Manager, Data Transformation Neuroscience

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

As 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.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

People Leader

All Job Posting Locations:

Cambridge 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 America

Job Description:

Our 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.

Learn more at & 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.

Position Summary:

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.

This role requires both deep technical expertise and understanding of clinical and biological data enabling cross-domain integration for discovery and translational research.

Key Responsibilities:

• 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 optimizeNextflow/Towerpipelines integratingAWS S3Snowflake andTileDBfor large-scale data processing acrossproteomicstranscriptomicsmetabolomics andspatial omics from Neuroscience studies.

• Establish reusable modules that standardize assay outputs intoharmonized formatsready for data science and AI applications.

• Collaborate with theSolution ArchitectVector Data Engineer andGovernance Teamsto embed FAIR data principles and compliance requirements into workflows.

• Lead pipeline optimization code review and development best practices.

• Partner withAI/ML CoreandData Scientiststo deliver AI-compatible high-quality datasets for modeling and knowledge extraction.

• Mentor junior engineers and drive workflow standardization and optimization across studies.

Qualifications:

• MS/PhD inBioinformatics Data Engineering or Computer Science.

• 5 years of experience developing data pipelinesin 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( SDTM/ADaM FHIROMOP).

• Hands-on experience withmulti-omics workflows(proteomics RNA-seq metabolomics or single-cell).

• Hands-on experience withembedding or vector representation techniquesfor scientific data integration.

• Proficiency withNextflowAWS and scripting inPythonorBash.

• Familiarity withSnowflakeTileDB 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.

Johnson & 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.

If 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 parents consent for the background check.

Johnson & 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 internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $137000 to $235750. 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 corporations performance over a calendar/performance year. Bonuses are awarded at the Companys 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 Companys 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. 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.

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Required Skills:

Preferred Skills:

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