Johnson & Johnson Innovative Medicine
IM Q&C Data Science co-op
Johnson & Johnson Innovative Medicine, Horsham, Pennsylvania, United States, 19044
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IM Q&C Data Science co-op
role at
Johnson & Johnson Innovative Medicine
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at
https://www.jnj.com
Job 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 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
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, 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 IM Q&C to define, conduct and communicate data analytics.
Qualifications
Candidates must be enrolled in an accredited college/university pursuing a Bachelor’s, Master’s or Ph.D. degree, preferably with a STEM major or area of concentration.
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 independently as well as in a team setting.
Prior data science experience, i.e. analyzing real‑world (noisy/imbalanced) 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.
Equal Opportunity Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law.
Inclusive Interview Process We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via
https://www.jnj.com/contact-us/careers .
#J-18808-Ljbffr
IM Q&C Data Science co-op
role at
Johnson & Johnson Innovative Medicine
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at
https://www.jnj.com
Job 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 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
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, 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 IM Q&C to define, conduct and communicate data analytics.
Qualifications
Candidates must be enrolled in an accredited college/university pursuing a Bachelor’s, Master’s or Ph.D. degree, preferably with a STEM major or area of concentration.
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 independently as well as in a team setting.
Prior data science experience, i.e. analyzing real‑world (noisy/imbalanced) 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.
Equal Opportunity Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law.
Inclusive Interview Process We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via
https://www.jnj.com/contact-us/careers .
#J-18808-Ljbffr