Senior Manager, Data Transformation - Neuroscience

6084-Janssen Research & Development, LLC Legal Entity; Raritan (NJ); On-site; USD 137,000 - 236,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Group legal insurance

Pension plan

Job summary

Johnson & Johnson is seeking a Senior Manager, Data Transformation to lead end-to-end data product lifecycles for clinical and omics datasets. This role spans modeling, processing, quality controls, and governance within the DDSAI team.

Locations include Raritan, NJ; Cambridge, MA; Spring House, PA; or Titusville, NJ with no remote option. Strong background in Nextflow/AWS and multi-omics is required.

Qualifications

• MS/PhD in Bioinformatics, Data Engineering, or Computer Science.
• 5+ years of experience developing data pipelines in life sciences or analytics environments.
• Experience with clinical data formats (CDISC SDTM/ADaM, FHIR, OMOP).
• Experience with multi-omics workflows (proteomics, RNA-seq, metabolomics, single-cell).

Responsibilities

• Design scalable data models for AI-ready clinical and omics data.
• Build and optimize Nextflow/Tower pipelines with AWS, S3, Snowflake, TileDB.
• Create reusable modules for harmonized assay outputs for data science use.
• Collaborate with Solution Architect, Vector Data Engineer, and Governance teams to embed FAIR principles.
• Mentor junior engineers and drive workflow standardization across studies.

Skills

Python

Bash

Data pipelines

Multi-omics

Data governance

Education

MS/PhD in Bioinformatics, Data Engineering, or Computer Science

Tools

Nextflow

AWS

Snowflake

TileDB

CDISC SDTM/ADaM

FHIR

OMOP

Job 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. 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 https://www.jnj.com/innovative-medicine Johnson & 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/Tower pipelines integratingAWS S3,Snowflake, andTileDBfor large-scale data processing acrossproteomics,transcriptomics,metabolomics, andspatial omics from Neuroscience studies.
• Establish reusable modules that standardize assay outputs intoharmonized formatsready for data science and AI applications.
• Collaborate with theSolution Architect,Vector 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(e.g.,CDISC SDTM/ADaM, FHIR,OMOP).
• 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 withNextflow,AWS, and scripting inPythonorBash.
• Familiarity withSnowflake,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.

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 parent’s 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 https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $137,000 to $235,750.

• 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