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Senior Data Scientist - Business Innovation

Job in Bayonne, Hudson County, New Jersey, 07002, USA
Listing for: Relha LLC
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Senior Data Scientist - Business Innovation

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 Med Tech, 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.

Job

Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

Scientific/Technology

Job Description

We are searching for the best talent for a Senior Data Scientist to be based in Titusville, NJ.

Purpose

The Commercial Data Sciences & Data Insights team within Johnson & Johnson Innovative Medicine Business Technology organization is looking for an extraordinary scientist who is passionate about crafting, developing, and fielding data science and artificial intelligence solutions that drive impact for patients and for Johnson & Johnson. Data scientists at J&J are eager to use data to build business value across many business units.

You

will be responsible for
  • Extracting insights from pharmaceutical data and working with business stakeholders to implement model predictions in real‑world deliverables.
  • Identifying appropriate use cases for data science initiatives and steering the creation, testing, and support of models that deliver value through data‑driven insights.
  • Conducting model creation, feature generation, data cleaning, and data exploration.
  • Producing functionalized, reusable code for solutions across multiple brands.
  • Partnering closely with cross‑functional teams, business partners, and vendors to deliver actionable solutions and help shape data science strategy.
  • Acting as a trusted adviser, communicating complex technical findings to business partners and translating insights into actionable business recommendations.
  • Staying on the cutting edge of Machine Learning, Artificial Intelligence, and Data Science.
Qualifications / Requirements
  • Ph.D. or M.S. with 3+ years of industry experience in Data Science, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, or a related discipline.
  • Strong working knowledge of machine learning and AI platforms/environments.
  • Strong working knowledge of machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, classification, forecasting, neural networks, and/or Bayesian models.
  • Proficiency with Python and SQL.
  • Proficient with source control platforms such as Git Hub or Bit Bucket.
  • Experience in the commercial pharmaceuticals business.
  • Working knowledge of commercially available healthcare data sets (e.g., electronic medical records and medical/pharmacy insurance claims data).
  • Experience working closely with business partners and vendors in a project management capacity.
  • Passion for new technical advances in Artificial Intelligence and excitement to apply them to solve problems.
  • Ability to translate business needs into impactful data/technology use cases and products.
  • Strong communication skills and ability to communicate complex methods and results to diverse audiences.
  • Comfort working in a fast‑paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.
Preferred Qualifications
  • Experience implementing AI‑driven solutions, including building end‑to‑end GenAI powered solutions that drive business value.
  • Evaluation, validation, and refinement of LLM frameworks and generative AI applications.
  • Continual learning, prompting, and LLM fine tuning.
  • Familiarity with open‑source and gated/paid model landscape.
Equal Opportunity Employer

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…

Position Requirements
10+ Years work experience
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