Principal Scientist - Data Science (RWE)

Johnson and Johnson
Municipality of Cornellà de Llobregat, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Municipality of Cornellà de Llobregat, Spain

Tech stack

Artificial Intelligence
Data analysis
Cluster Analysis
Computer Literacy
Data Visualization
EHealth
Python
Machine Learning
SQL Databases
Technical Data Management Systems
Deep Learning
Electronic Medical Records
Information Technology

Job description

The R&D Data Science RWE team within J&J Innovative Medicine develops 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., * 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 that will 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, working alongside a robust team of data scientists, bringing fresh perspectives and scientific rigor across Data Science projects and therapeutic areas.

  • Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

Requirements

  • A Ph.D. degree, or master's degree in a quantitative field (e.g., statistics, biostatistics, epidemiology, applied mathematics, artificial intelligence, computer science, or similar).

  • Relevant experience (2+ years for Ph.D., 4+ years for a master's) within a start-up, technology, or healthcare industry

  • Extensive experience with one of the following: statistical modeling, clustering and classification, causal inference methods, simulation, machine learning, deep learning

  • Hands-on technical data analysis and machine learning modeling experience (across roles)

  • Proven project leadership in complicated context, able to influence and engage the 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., Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

About the company

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, Johnson & 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. Hybrid position. 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 medications 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 Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com

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