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Senior Manager, Data Transformation - Neuroscience

Raritan, New Jersey, United States of America

Live, first seen by us 36 days ago
Pay
$137,000–235,750/year · BaseAnnual period assumed — pay source
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. 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)).
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Work setting
Working pattern needs review — work setting source
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:
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.
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Employer’s visa record
1 H-1B petition approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting

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.

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

  • Design scalable data models for AI-extracted Neuroscience clinical data

  • Design and optimize Nextflow/Tower pipelines across multi-omics data

  • Build reusable modules that standardize assay outputs for data science and AI

  • Lead pipeline optimization, code review, and development best practices

  • Mentor junior engineers and standardize workflows across studies

From the employer’s posting
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.
Design and implement scalable data models for capturing AI-extracted Neuroscience clinical data
Design and optimize Nextflow/Tower pipelines integrating AWS S3, Snowflake, and TileDB
Establish reusable modules that standardize assay outputs into harmonized formats
Lead pipeline optimization, code review, and development best practices.
Mentor junior engineers and drive workflow standardization and optimization across studies.

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience developing data pipelines in a life sciences/drug discovery research or analytics environments.
  • 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.

Preferred experience

  • Experience with an emphasis on Neuroscience (Neurodegeneration, Neuropsychiatry, or Ophthalmology) is preferred.
Qualification wording
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.
Education & alternatives
Qualifications: - 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.
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Posting record

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Status in our records
Live
First seen by us
Oct 9, 202636 days ago
Recorded sightings
85
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$137K–$236K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 36

Similar jobs usually come down between day 8 and day 57.

Well past Johnson & Johnson’s usual: its jobs come down by about day 13.

From 9,519 similar postings that came down, and 460 of Johnson & Johnson’s. Coming down is not always a hire.

Johnson & Johnson is hiring

45 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is picking up
  • Takes jobs down quickly
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Bash
  • Python
  • AWS
  • S3
  • Snowflake
Where the posting names them
- 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.
- 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.
- 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.

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About Johnson & Johnson

People
About 138,200 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as JNJ.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 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. 

 

Qualifications:

  • 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.   

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. 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.



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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
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Location & working pattern

Raritan, New Jersey, United States of America

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:
More source context
- 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.

More relevant text appears in the full description.

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