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Form of workCaring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products, and services to advance the health and well-being of people. Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.
With $85.2 billion in 2023 sales, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of healthcare products, as well as a provider of related services, for the pharmaceutical, and medical technologies markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world.
Calling all big thinkers and world-changers who want to drive their careers forward across more than 250 leading businesses in pharmaceutical, and medical technology. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.
Position Components
In this role, you will work with colleagues in the R&D Data Science & Digital Health organization and partner with key businesses across Janssen to apply advanced Data Science and analytics to answer key research questions . The Digital Health Data Scientist Intern will support the Digital Health Data Engineering and Solution team in developing and implementing digital health solutions. The intern will contribute to projects that enhance patient care through technology, collaborate with cross-functional teams, and gain hands-on experience in the rapidly growing field of digital health. Interns could be located out of our US locations in San Diego, San Francisco, Titusville, Raritan, Spring House, Boston as well as remote. 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 Science and machine learning.
- Proficiency in pipeline management tools (e.g, Nextflow, including the development, optimization, and deployment of complex workflows.)
- Proficiency in one or more programming languages (e.g., Python, Java, R).
- Experience with cloud-based data processing platforms (e.g., AWS, GCP, or Azure) and containerization technologies (e.g., Docker, Singularity).
- Experience working with and executing scripts against large databases such as Amazon Redshift, Snowflake, PostgreSQL.
- Familiarity with genomic data formats (e.g., FASTQ, BAM, VCF) and bioinformatics tools (e.g., BWA, GATK, STAR).
- Experience with RShiny, Flask and HTML
- Strong technical communication and presentation skills.
- Basic understanding of healthcare systems and digital health technologies.
Preferred Qualifications:
Experience in one or more of the following -
- Working knowledge of healthcare data standards such as HL7, FHIR, OMOP, SDTM and/or ADaM
- Possess a strong knowledge of GPU and high-performance computing techniques for efficient data processing.
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 .
