Senior Data Scientist - Business Innovation

Requirements

• 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

Benefits

Additional Information

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 Science Job Category: Scientific/Technology All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist to be in Titusville, NJ. About Innovative Medicine 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 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. 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, forcasting, 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.

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