Description
Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for a Data Scientist (co-op), located at our PA or NJ sites and also able to work remotely.
The co-op will join the Digital, Data and Analytics team in a Data Scientist role. This team sits within Johnson & Johnson's Innovative Medicines Quality & Compliance (IM Q&C) org. IM Q&C supports pharmaceutical quality in a variety of domains including R&D (preclinical labs, clinical trials, post-approval vigilance), supply chain, commercial, product, and more. 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 IM Quality processes, to operations or scientific data from our R&D partners and further to external data from industry and regulators.
Direct external application link: https://www.careers.jnj.com/en/jobs/r-032843/im-qc-data-science-co-op/
Requirements
Main responsibilities will include, but are not limited to:
Apply cutting edge data science techniques to solve high-priority business problems within J&J IM Q&C's domain.
Assist in creating new mechanisms to monitor for quality signals on an ongoing basis using advanced analytics, signal detection, natural language processing (NLP), machine learning (ML), knowledge 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 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 IM Q&C to define, conduct and communicate data analytics
Education:
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.
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
