Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- Director, R&D Data Science & Digital Health at Johnson & Johnson developing real-world evidence strategies for innovative medicines. Collaborating across various teams to enhance clinical study designs and data solutions.
Responsibilities
- Contribute to the design and execution of a Data Science & Digital Health (DSDH) RWE (Real World Evidence) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives
- Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines
- Provide strategic input into the Immunology R&D DSDH RWE priorities ranging from individual projects to large collaborations
- Identify viable data science and digital health opportunities
- Serve as a key liaison to functional area partners and provide support for collaborations
- Execute the DSDH RWE strategy across a matrixed cross-functional CDT and the Clinical Team
- Provide strategic leadership on managing/addressing specific project/program-related issues
Requirements
- PhD, PharmD, or MD (or equivalent) in statistics, bioinformatics, computational biology, epidemiology, applied mathematics, computer science, physics, engineering or related fields, is required
- 8+ years of progressive business experience in the pharmaceutical R&D, data science, digital health
- Familiarity with data science and digital health
- Experience with healthcare datasets, such as EHR, or insurance claims
- A strong background in RWE/Data Science & Digital Health
- Experience delivering data science projects using predictive technologies, data mining and/or text mining
- Experience analyzing or handling healthcare data sets, including EHR, claims and registry data
- Experience with data science tools and statistical programming languages, including SQL, Python, R, and others
- Experience with defining use cases for deep learning, foundational models, and machine learning
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- retirement plan (pension)
- savings plan (401(k))
- time off benefits: up to 120 hours vacation, up to 40 hours sick time, up to 13 holidays, up to 40 hours personal and family time
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