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Job FunctionData Analytics & Computational Sciences
Job Sub FunctionData Science
Job CategoryScientific/Technology
LocationMadrid, Spain (Hybrid position)
Job DescriptionJohnson & Johnson Innovative Medicine R&D Data Science and Digital Health team is recruiting a Principal Scientist Data Science Real World Evidence (RWE). This position has a primary location of either Barcelona or Madrid, Spain.
J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first‐in‐class prescription and are poised to serve the broad needs of the healthcare market from patients to practitioners and from clinics to hospitals.
To learn more about J&J Innovative Medicine visit the R&D Data Science RWE team within J&J Innovative Medicine. We develop innovative solutions leveraging a variety of different data sources across multiple disease areas in support of key clinical programs. Successful candidates will develop cutting‐edge methodologies to develop RWD‐based solutions to enable disease insights, improve patient outcomes and enhance clinical development. The Principal Scientist RWE will work closely with strategic partners within Data Science and Digital Health and multi‐disciplinary teams within J&J Innovative Medicine R&D to develop and deploy cutting‐edge solutions to our clinical programs.
Key Responsibilities
Lead and contribute to the development of statistical/machine learning models in health and healthcare (e.g., disease identification, patient stratification, disease progression, clustering, simulations, forecasting) based on RWD to provide key insights to our pipeline assets.
Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real‐world data (electronic health records, clinical development data, insurance claims, registries, others).
Deliver scalable analytical/machine learning solutions and insights to impact functions and therapeutic areas within R&D and participate in cross‐functional collaborations with internal scientific and data science teams and external companies.
Shape internal and external collaborations and define the scope of research questions.
Closely partner with the Data Science Therapeutic Area (DSTA) and Therapeutic Area (TA) teams to execute on the priorities, building a roadmap to deliver the projects and present to senior cross‐functional leaders.
Be a hands‐on technical leader among the Data Science team, helping institute best practices while crafting a data‐driven culture, developing and mentoring more junior members of the team while advocating for skill development.
Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision‐making.
Required Qualifications
A Ph.D. degree or master's degree in a quantitative field (e.g., statistics, biostatistics, epidemiology, applied mathematics, artificial intelligence, computer science).
Relevant experience (2 years for Ph.D., 4 years for a master's) within a start‐up, technology or healthcare industry.
Extensive experience with statistical modeling, clustering and classification, causal inference methods, simulation, machine learning, deep learning.
Hands‐on technical data analysis and machine learning modeling experience.
Proven project leadership in a complex context, able to influence and engage strategic and technical partners in a matrix organization.
Proven track record of consistently delivering on high‐impact data science projects.
Expert proficiency in Python or R and SQL.
Excellent interpersonal communication and presentation skills.
Preferred Qualifications
Experience delivering on RWE projects using advanced predictive methodologies including machine learning.
In‐depth expertise in at least one of the following domains: EHR, clinical development data, insurance claims or registry data.
Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience or specialty ophthalmology.
Experience working closely with healthcare subject‐matter experts.
Ability to effectively communicate technical work to a wide audience.
Additional InformationEmployment Type: Full‐TimeVacancy: 1
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