Postdoctoral Scientist - R&D Data Science Analytics & Insights

Key Skills

Python Programming, SQL, Aartificial intelligence, Machine learning techniques, Data science techniques, Deep Learning, Data Analytics, MLOps tools, Effective communication skills

Job Description

J&J Innovative Medicine 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 J&J Innovative Medicine, visit https:// https://www.jnj.com/innovative-medicine

The R&D Data Science Analytics & Insights team within J&J develops innovative solutions leveraging a variety of different data sources across multiple disease areas. Successful candidates will develop cutting-edge methodologies to drive global development decisions and positively impact the way we conduct trials for patients. We are looking for outstanding scientists whose responsibilities include:

Key Responsibilities:

• Develop machine learning and artificial intelligence solutions to accelerate and enable global development
• Apply advanced statistical and machine learning techniques to analyze and interpret complex datasets
• Build robust data science solutions with a focus on scalability and traceability to ensure reproducibility of results
• Implement use-cases adapting and delivering real-world data insights
• Closely partner with the Data Science Portfolio Management and Therapeutic Area teams to execute on the priorities, building a roadmap to deliver the projects from data feasibility to final presentation to senior cross-functional leaders
• Shape internal/external collaborations and define the scope of research questions
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making

QUALIFICATIONS

• A Ph.D. degree in a quantitative discipline (e.g., computer science, statistics, biostatistics, health economics, biomedical informatics, applied mathematics, or similar)
• Hands-on experience with machine learning, deep learning, statistical modeling, causal inference, multivariate regression, and classification
• Proficiency in programming languages, particularly Python and SQL
• Passionate about leveraging data to drive scientific innovation
• Excellent interpersonal, communication, and presentation skills

Preferred qualifications:

• Hands-on technical data analysis and machine learning modeling experience
• Experience delivering on Data Science projects using predictive technologies, forecasting, natural language processing, artificial intelligence, or machine learning
• Demonstrated experience in one of the following domains: real-world data (EHR, insurance claims, registry data), building patient cohorts, enrollment modeling, clinical trial analytics
• Familiarity with MLOps practices and tools
• Ability to effectively communicate technical work to a wide audience

Expected Base Salary: $95,000 - This is a Fulltime 2 yr fixed-term role.

If you are a highly skilled and innovative scientist with a passion for leveraging AI and ML to address challenges in global site selection, we encourage you to apply. Join us in advancing healthcare and making a meaningful impact on therapeutic development.

Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against based on disability.