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Data Science AI/ML PAI intern R

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  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • United States
    Remote

Requirements

  • Currently pursuing master’s in Statistics, Biostatistics, Bioinformatics, Data Science, Computer Science, Computational Biology, Biomedical Informatics, or related quantitative discipline.
  • Strong working skills of R, Rshiny and package development, and basic SQL database skill.
  • Strong working knowledge of statical modeling, longitudinal analysis, and machine learning with demonstrated research experience, as evidenced by publications, public code contributions, etc.
  • Candidates must be available to work 10-12 weeks from May - August 2025 and have the ability to work full-time during that time.
  • Good communication skills.
  • Experience in proteomics or general -omics data analysis is preferred.
  • Familiarity with cloud computing is preferred.
  • Be detail-oriented, highly organized and able to manage multiple tasks.
  • Can work individually (independently) as well as on a team.

Responsibilities

  • Design and develop standardized data model, modules and packages for proteomics data management and analytical pipelines. Make documentations.
  • Analytical component including proteomic data quality control, longitudinal modeling, clustering, predictive modeling, data visualization, data model design and management, etc.
  • Design R shiny portals for result dissemination and visualization.
  • Automate end-to-end analysis from data QC to shiny portal launch.
  • Collaborate closely with other data scientists to develop and execute the research project.
  • Document and disseminate research project internally.

FAQs

Do we support remote work?

Yes, this internship can be completed remotely from any campus across the United States.

What is the duration of the internship?

The internship is anticipated to last 10-12 weeks from May to August 2025.

What qualifications are required for this position?

Candidates must be currently pursuing a master’s degree in Statistics, Biostatistics, Bioinformatics, Data Science, Computer Science, Computational Biology, Biomedical Informatics, or a related quantitative discipline.

What technical skills are necessary for this internship?

Strong working skills in R, R Shiny, package development, and basic SQL database skills are required, along with a strong knowledge of statistical modeling, longitudinal analysis, and machine learning.

Is prior experience in proteomics important for this role?

Experience in proteomics or general -omics data analysis is preferred but not mandatory.

Are there any communication skills required for this position?

Yes, good communication skills are required.

What is the anticipated pay rate for this internship?

The anticipated base pay for this position varies by education level: $38.00/hour for master's students and $59.00/hour for PhD/MD students.

Can interns participate in employee benefit programs?

Yes, interns may be eligible to participate in company employee benefit programs such as medical insurance, sick time, and holiday pay in accordance with the terms of the applicable plans.

Is working independently as well as on a team important for this internship?

Yes, candidates must be able to work individually (independently) as well as collaboratively within a team.

How will research projects be documented and shared?

Interns will document and disseminate research projects internally as part of their responsibilities.

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.

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