Leading R&D Data Science team in developing innovative evidence solutions at Johnson & Johnson. Overseeing strategic collaborations and enhancing evidence development capabilities in Neuroscience.
Responsibilities
Lead and mentor a high-performing team of RWE scientists to deliver end-to-end evidence generation—from data feasibility and study design to analysis and presentation.
Shape and execute strategic RWE initiatives in neuroscience, aligning with R&D priorities.
Drive internal and external partnerships to conceptualize and deliver advanced insights and evidence solutions.
Develop shared tools and best practices to foster a scalable, data-driven culture.
Provide thought leadership in advanced methodologies (e.g., comparative effectiveness, external control arms, Bayesian method).
Advance capabilities in integrating multi-modal data to support precision medicine approaches.
Requirements
Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field.
10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries.
7+ years of experience as a people manager.
Proven expertise in data extraction, cleaning, and analysis; strong grasp of statistical methods to mitigate bias and confounding.
Experience with diverse data sources (EHR, claims, registries, trial data, digital health).
Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders.
Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment.
Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges.
Proficiency in R, Python, or SQL.
Benefits
Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company’s long-term incentive program.
Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year
Job title
Senior Director, R&D Data Science – Digital Health, Real-World Evidence, Neuroscience
Health Data Scientist combining expertise in health communication, data analytics, and behavioral research. Joining a dynamic team to tackle global health challenges using data - driven methodologies.
Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
Data Scientist at Capital One using ML to revolutionize customer engagements through personalization. Collaborate with elite teams to build cutting - edge recommendation systems.
AI Agent Developer designing and implementing autonomous intelligent agents using AI frameworks. Collaborating across teams to optimize agent capabilities and performance.
AI Agent Developer responsible for designing and building AI agents to operate within digital environments. Collaborating with teams to deliver innovative AI solutions and ensure functionality within complex systems.
Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.