Data Science RWE Adv AA Summer Intern

Key Skills

Causal inference, Data Analysis, Data Classification, Deep Learning, Effective communication skills, Forecasting, Machine learning techniques, Multivariate analysis, Python Programming, R Programming, SQL, Statistical modeling

Job Description

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people. Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.

With $81.6 billion in 2018 sales, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world.

Calling all big thinkers and world-changers who want to drive their careers forward across more than 250 leading businesses in consumer, pharmaceutical and medical technology. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.

Position Components

Janssen Research & Development (“JRD”), a Johnson & Johnson company, is recruiting for summer interns, Janssen R&D Data Science & Digital Health, Real-World Evidence (“RWE”). In this role, you will partner with key businesses across Janssen to apply advanced data science and analytics to answer key research questions. As an intern, you will get the opportunity to work on cutting-edge problems at the intersection of machine learning and healthcare. You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions. You will be exposed to projects on the development of Advanced Analytics & Algorithms (Adv A&A) as machine learning and deep learning models in healthcare (e.g., disease identification, patient stratification, disease progression, forecasting) based on RWD that will provide key insights on our pipeline assets. 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; or remote with up to 10% travel.

Qualifications

Minimum qualifications:

• Currently pursuing bachelor’s, master’s, or Ph.D. degree in a quantitative field (e.g., operations research, systems engineering, statistics, applied mathematics, biostatistics, artificial intelligence, computer science, health economics, biomedical informatics, epidemiology, or similar)
• Experience with one of the following: machine learning, deep learning, causal inference methods, statistical modeling, multivariate regression and classification or forecasting
• Hands-on technical data analysis and machine learning modeling experience
• Proficiency in the following programming languages: Python or R, and SQL.
• Strong technical communication and presentation skills.

Preferred qualifications:

Experience in one or more of the following -

• Experience in one of the following domains, EHR, insurance claims, clinical trial or registry data
• Experience delivering on Data Science projects using simulation or predictive technologies, forecasting, natural language processing, artificial intelligence, or machine learning
• 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