Principal Scientist

**Job Function**:
Data Analytics & Computational Sciences
**Job Sub Function**:
Data Science
**Job Category**:
Scientific/Technology
**All Job Posting Locations**:
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain

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.

**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 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.
- Ability to effectively communicate technical work to a wide audience.

JRDDS