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Data Science and Digital Health Intern

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Johnson & Johnson

1mo ago

  • Internship
    Full-time
    Virtual Internship
  • Data
    Research & Development
  • Titusville
    Remote

AI generated summary

  • You must pursue a relevant degree, have strong data analysis skills, communication abilities, and an interest in Digital Health. Prior experience and familiarity with large datasets are preferred.
  • You will explore Digital Health data, build data pipelines, develop scalable cloud infrastructure, stay updated on industry trends, and create automated processes for large data sets.

Requirements

  • Required:
  • Be currently pursuing a degree in computer science, bioinformatics, engineering, or related degrees.
  • Possess a strong understanding of Statistics, Data Science, Computer Science, Software Engineering, Biomedical Informatics, Digital Health or related field as demonstrated by current or prior coursework.
  • Possess strong written and verbal communication and presentation skills (technical and/or business).
  • Possess familiarity with exploring and conducting analyses on large datasets.
  • Strong interest in the exploration of innovative research using Digital Health, Real World Data, and gaining data domain knowledge.
  • Preferred:
  • Coursework or background in computer science, information systems, biomedical engineering, and other life sciences.
  • Have prior experience thru other internships/jobs with hands-on data engineering and data science.
  • Prior independent or classroom research experience on a data-focused project.
  • Experience with relevant disease biology in cancer, immunology, neuroscience, cardiovascular, or infectious disease.
  • Others:
  • Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Responsibilities

  • Use hands-on exploration to gain exposure to and familiarity with Digital Health data from sensors, wearables, and applications
  • Build data engineering pipelines to transform and enrich assets for clinical trials and machine learning algorithm development
  • Build backend cloud engineering infrastructure that serves to enable scalable data engineering and machine learning use cases
  • Stay informed on cutting edge applications and use cases of data and tools, and platform solutions supporting the data science field and present back to the team through trainings and presentations
  • Develop code-based automated data pipelines able to process millions of data points.

FAQs

Is this internship a remote position?

Yes, this internship is virtual and can be done remotely.

What qualifications are required for this internship?

Candidates must be currently pursuing a degree in computer science, bioinformatics, engineering, or related fields, and possess a strong understanding of statistics, data science, or related areas.

Is prior experience in data engineering necessary for this internship?

While not required, prior experience through internships or job positions in data engineering and data science is preferred.

Are there specific disease areas of focus for this role?

Yes, experience with relevant disease biology in cancer, immunology, neuroscience, cardiovascular, or infectious disease is preferred.

Will I receive training during the internship?

Yes, interns are expected to stay informed on cutting-edge applications of data tools and present their findings to the team through trainings and presentations.

Is there an opportunity to work on hands-on projects?

Yes, interns will engage in hands-on exploration of Digital Health data, build data engineering pipelines, and develop code-based automated data pipelines for processing large datasets.

Are there any citizenship or work authorization requirements for this internship?

Yes, candidates must be permanently authorized to work in the U.S. and must not require sponsorship for an employment visa at the time of application or in the future.

What is the main goal of the R&D Data Science team at Janssen?

The main goal of the R&D Data Science team is to meaningfully change the trajectory of disease with transformational medicines and advance the care of patients.

Is familiarity with large datasets important for this role?

Yes, familiarity with exploring and conducting analyses on large datasets is a required qualification for this internship.

How can I learn more about Johnson & Johnson's commitment to employee wellness?

You can visit www.careers.jnj.com for more information on how Johnson & Johnson supports the overall health of its employees throughout their wellness, career, and life journey.

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Johnson & Johnson

Hospitals and Health Care

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Profound Change Requires Boldness. Johnson & Johnson is the largest and most diversified healthcare products company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world.