Principal Scientist – Data Science, Real World Evidence (RWE)
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Cornellà de Llobregat Barcelona Spain Madrid SpainJob Description:
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 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.
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 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.
Required qualifications:
A Ph.D. degree or masters 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 masters) 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.
#JRDDS
Required Skills:
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 AnalysisRequired Experience:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more
