Sr. Scientist, Global Commercial Data Science (GCDS) - Johnson and Johnson
Raritan, NJ 08869
About the Job
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 https://www.jnj.com/ .
The Senior Scientist will design, develop, and deliver impactful data science projects delivering insights and analytics that shape commercial development of our clinical-stage pipeline. Working with the Senior Director, Global Data Science, Oncology and in close partnership with Global Commercial Strategy Organization (GCSO) partner teams, you will use your deep technical expertise and pharmaceutical industry knowledge to advance the application of leading data science analytical methodologies to domain-specific data assets to drive insights and decisions that optimize the patient benefit and commercial value of the pharmaceutical pipeline.
Major responsibilities include evaluating available and potential data sources, driving data strategy to strengthen our analytics, evaluating and developing end-to-end solutions, leading and implementing specific data science projects by applying creative approaches and innovative algorithms within commercial analytics, and advancing data-driven decision-making and data science practice across GCSO. Key partnerships include marketing teams, commercial insights and analytics, medical affairs and market access within GCSO as well as regional commercial analytics and scientific affairs teams, J&J Technology (JJT) data sciences, R&D Data Science, JJT, global epidemiology, and others.
Responsibilities:
- Act as a hands-on, technical contributor to conceive, design, build, and implement state- of-the art scientific algorithms
- Leads and delivers data science projects by developing and applying creative solutions that go beyond current tools to deliver data-driven insights for high-priority global commercial analytic business questions
- Define data and analytics strategies and methods for specific Data Science projects across GCSO
- Use AI/ML to transform our commercial strategy operations through impactful analytics projects that improve GCSO strategic decisions
- Effectively navigate technological, analytical, legal, and privacy complexities to achieve objectives
- Participate in project teams and collaborate closely with asset and disease area teams across Commercial, Medical Affairs, and Market Access on outcomes and insights from specific data science projects
- Partner with other GCSO functions, regional businesses, global epidemiology, R&D, JJT, Legal, HCC and others in the development of the Data Science strategy and guidelines for insight generation and usage
- Contribute actively to internal J&J Data Science communities of practice, sharing methodologies and improving enterprise Data Science knowledge and capacity
- Provide technical guidance to other team members
- Work side-by-side with colleagues across GCDS to deliver integrated approaches to deliver on high value use cases / problems
- Master's degree in a quantitative field such as computer science, computational biology, statistics, epidemiology or a related discipline. PhD/PharmD/MD preferred.
- At least 3 years of relevant experience in healthcare or life sciences industry is required
- At least 3 years of relevant hands-on data science experience in a commercial, medical affairs, scientific affairs and/or R&D environment is required
- Knowledge of machine learning, deep learning, and statistical modeling methods for supervised and unsupervised learning, including (but not limited to) regression analysis, clustering, outlier detection, decision trees, ensemble methods and boosting, neural networks, generative AI is required
- Familiarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required.
- Handling of healthcare relevant datasets, such as EHR, insurance claims or registry data, is required.
- Proficient with one or more programming language such as Python, R, C , or Java is required.
- Experience delivering on projects using large scale LLMs is preferred.
- Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferred
- Specific data science experience within Oncology or Immunology preferred
- Strong problem-solving skills with a solution-oriented mindset
- Proven experience in prioritizing and leading a complicated portfolio of projects
- Excellent communication, interpersonal, and written skills are required
- Passion for innovation, drive to create the best solutions and generate a positive impact for patients
- There will be up to 10% domestic travel for this position.
- The anticipated base pay range for this position is $113,000 to $195,500 USD
- 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.
