Janssen R&D, a member of Johnson & Johnson's Family of Companies is recruiting for a Data Scientist (co-op), located at our PA or NJ sites and also able to work remotely.

The Quality Analytics Data Science team is looking for co-ops to join us! The team sits within R&D Quality (RDQ), a unit of Johnson & Johnson Innovative Medicines (J&J IM) responsible for quality in preclinical labs, clinical trials and post-approval vigilance. The role will involve the design and implementation of historical, diagnostic, predictive and prescriptive data analytics. It will allow you to bring innovative thinking to a team that is fast moving and adept at prototyping advanced data analysis techniques.

The scope of data to be analyzed ranges from data about R&D Quality processes, to operations or scientific data from our R&D partners and further to external data from industry and regulators.

Key Responsibilities :

Main responsibilities will include, but are not limited to:

• Assist in creating new mechanisms to monitor for quality signals on an ongoing basis using advanced analytics, signal detection, natural language processing, machine learning, deep learning, graph analysis and time-series analysis
• Engage with diverse business partners to develop innovative trending and modeling capabilities that help improve current processes.
• Bring capability and skills to contextualize quality data into insights that will enable data driven-decision making
• Apply analytical/statistical methods to complex and disparate data sources to deliver actionable insights
• Bring together the critical factors of data, processes, and systems to create insight from information

The Data Scientist will:

• Work on a number of data science / data engineering projects and be given the opportunity to define innovative techniques to analyze data and generate insights
• Work within a dynamic fast-paced Productized Data Science team and learn how it operates
• Liaise with Subject-Matter Experts (SMEs) within RDQ to define, conduct and communicate data analytics

Qualifications

• Candidates must be enrolled in an accredited college/university pursuing a Bachelor’s, Masters or Ph.D. degree, preferably with a STEM major or area of concentration.

Experience and Skills:

Required:

• Available to work (Part-time or Full-time).
• Legally authorized to work in the United States.
• Highly organized and able to handle multiple responsibilities and keep track of details.
• Flexible thinking to learn and embrace new ways of working quickly.
• Intellectual curiosity to challenge current methods and bring in newer and better alternatives.
• Proven ability to work individually (independently) as well as on a team setting.
• Prior data science experience, i.e. analyzing real-world (noisy/imbalance) datasets and developing algorithms to solve problems on them.
• Prior programming experience in a Data Science language (R/Python).
• Strong oral and written communication skills.

Preferred:

• Experience with Data Engineering for Data Science, i.e. data preparation, data pipelines, data quality/integrity, feature engineering
• Experience with programming Generative AI applications
• Experience with UI/UX and front end development skills
• Proficiency with Microsoft Office Suite
• Experience with agile software development in a team

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 on the basis of disability.