Scientist, Data Science (JRD)

Key Skills

Aartificial intelligence, Data science techniques, Machine learning techniques, Python Programming, R Programming, SQL

Job Description

Janssen Research & Development (JRD), a Johnson & Johnson company, is recruiting for a Scientist, Data Science . The primary location for this position is flexible – either; Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; New York City, NY; San Diego, CA; South San Francisco, CA; remote may also be considered with up to 10% travel.

Janssen develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, neuroscience, and infectious disease. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/us/.

The R&D Data Science Analytics & Insights team within Janssen develops innovative solutions leveraging a variety of different data sources across multiple disease areas in support of Janssen’s 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 Scientist will work closely with strategic partners within Data Science and multi-disciplinary teams within Janssen R&D to develop and deploy cutting-edge solutions to our clinical programs.

Key Responsibilities:

• Conceive, contribute, and implement the development of artificial intelligence/machine learning models in health and healthcare (e.g., disease identification, patient stratification, disease progression, simulations, forecasting) based on RWD that will provide key insights on our pipeline assets.
• Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data (electronic health records, insurance claims, others)
• Deliver scalable 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 Portfolio Management and Therapeutic Area 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, 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.

Qualifications

• A Ph.D. degree, or master’s degree in a quantitative field (e.g., artificial intelligence, computer science, operations research, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics, 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: machine learning, deep learning, statistical modeling, clustering and classification, causal inference methods, simulation, and forecasting.
• 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 Data Science projects using predictive technologies as machine learning, artificial intelligence, or forecasting.
• Experience building simulation models in AnyLogic, Simio, ARENA, or other simulation software.
• Experience in one of the following domains, EHR, 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, cardiovascular, neuroscience, pulmonary hypertension, or infectious disease.
• Experience working closely with healthcare subject matter experts.
• Experience working closely with healthcare professionals.
• Ability to effectively communicate technical work to a wide audience.

Expected Salary: $102,000 - $163,300