Senior Data Scientist – Business Innovation Full-time

Senior Data Scientist

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

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. There are many ways to explore and analyze data, and this powers the excitement and passion of data scientists at J&J as many business units are eager to use the data to build business value.

You will be responsible for:

• Extract insights from pharmaceutical data and work with business stakeholders to implement model predictions in real-world deliverables.
• Identify appropriate use cases for data science initiatives and steer the creation, testing and support of models that deliver value through data-driven insights.
• Model creation, feature generation, data cleaning, and data exploration.
• Produce functionalized, reusable code for solutions across multiple brands.
• Partner closely with cross-functional teams, business partners, and vendors to deliver actionable solutions and to help shape data science strategy.
• Act as a trusted-advisor communicating complex technical findings to business partners and translating insights into actionable business recommendations.
• Stay 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 GitHub or BitBucket.
• 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.
• Experience delivering on data science projects using predictive technologies.
• You are passionate about new technical advances in Artificial Intelligence and are excited 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:
• 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.

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.

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 careers, internal employees contact AskGS to be directed to your accommodation resource.