Data Science AI/ML PAI Intern NCS
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:
In this role, you will work with colleagues in the JNJ Innovative Medicine R&D Data Science & Digital Health organization and partner with key businesses across JNJ Innovative Medicine (formerly 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. Projects include, but are not limited to, use of real-world data for modeling and prediction of disease severity and progression, discovery of disease subtypes, risk stratification, and precision medicine using traditional biostatistical methodologies and advanced methodologies from machine learning and/or deep learning. Interns could be located out of our US locations in San Diego, San Francisco, Titusville, Raritan, Spring House, Boston as well as remote, However, if they are located in Spring House will work on-site
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Responsibilities:
- Analyze and interpret genomic, health and adverse event record data.
- Develop and implement standardized (AI/ML) computational and validation pipeline including preprocessing, integrating, and visualizing genomic and health record data
- Collaborate with cross-functional teams including preclinical safety, data scientists, band bioinformaticians to translation computational insights into actionable insights.
Qualifications
Minimum qualifications:
- Currently pursuing master's or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.
- Strong working knowledge of data mining and machine learning.
- Proficiency in one or more of the following programming languages: Python, R.
- Familiarity with predictive modeling and analysis of large datasets.
- Strong technical communication and presentation skills.
Preferred qualifications:
Experience in one or more of the following
- Knowledge of epidemiology and experience in analysis of healthcare datasets: claims, EMR/EHR, survey, observation studies.
- Familiarity with developing AI/ML based scores and/or validating AI/ML models.
- Experience or familiarity with genetics including GWAS, cross-species gene-conservation metrics, phylogenetics, or concordance analyses.
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.
For more information on how we support the whole health of our employees throughout their wellness, career, and life journey, please visit www.careers.jnj.com.