Senior Data Scientist

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 Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Senior Data Scientist to be in Titusville, NJ.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Commercial Data Sciences Team is looking for an extraordinary scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients and for Johnson & Johnson. There are many ways to explore and analyze data, and this powers the enthusiasm and passion of data scientists at J&J as many business units are eager to use the data to build business value.

You will be responsible for:

This role needs someone who stays on the cutting edge of artificial intelligence, data science, and advanced analytics research through novel project execution and development of algorithms that influence decisions at various levels in the organization, with main focus on omnichannel sales and marketing optimization, but also including distribution demands, patient/payer analytics, commercial strategy, and related commercially focused model development.

The role requires both a broad knowledge of existing AI-type algorithms and the ingenuity to invent and customize when necessary. You will lead and deliver projects and develop solutions that in turn deliver insights. You will also work closely with cross departmental teams across business and technology to understand how best to solve complex problems. You will be a member of a highly collaborative and supportive team, which is part of a broader dynamic and accomplished organization that supports multiple therapeutic areas and commercial functions.

Come join us in our mission to transform the future of health!

Qualifications / Requirements:

• Ph.D. with 2+ years of experience, or M.S. with 5+ years, B.S. with 7+ years of relevant pharma experience, with degree in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related field.

• Solid understanding of machine learning platforms/environments.

• Experience with practical applications of AI-type algorithms, including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models.

• Familiarity with large datasets, handling of healthcare relevant datasets and understanding of data analysis workflows.

• Proficiency with one or more programming language such as Python or R.

• Proficiency with SQL.

• Experience delivering on data science projects using Machine learning and AI technologies, data mining and/or text mining.

• Familiarity with working in a cloud-based technology stack.

• Sophisticated communication skills and ability to translate complex methods and results to diverse audiences.

• Strong ability to establish relationships with business partners and understand their needs.

• Proven track record to deliver end-to-end machine learning projects from understanding business requirements, development, deployment, and management of post-launch operations

• Experience with vendor management – ensuring timelines and expectations

Preferred Qualifications:

• Experience in the Commercial Pharmaceutical business.