Data Science Intern, PAI

Johnson & Johnson Innovative MedicineAmbler, PA
1d$23 - $52

About The Position

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 jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. About Innovative Medicine 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 About MedTech Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech We are searching for the best talent for Data Science Intern, PAI to be in PA Spring House. The Intern / Co-op term is from June to August, 2026. Full time requirement (40 hours per week). Purpose: In this role, you will join the Data Science and Digital Health organization within Johnson and Johnson Innovative Medicine, focusing on leveraging large scale single cell transcriptomic data in the context of Neuroscience. You will be responsible ·Collaborate and work closely with Data Scientists and Scientists to investigate disease associated cellular states and derive biological insights ·Perform advanced analytics to investigate how disease risk variants alter cellular states ·Apply single cell methods to analyze cellular state trajectories with respect to clinical disease progression and disease-related endophenotypes ·Follow all best practices for code version control and reproducible research

Requirements

  • Completion of Undergraduate Freshman year at an accredited University is required.
  • Currently Enrolled in a PhD program in Data Science, Computational Biology, Bioinformatics, or related field
  • Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
  • 2+ years of hands-on experience in single cell transcriptomic analyses using Python-based methods
  • Fluent in Python
  • Experience with code version control using Git
  • 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.

Nice To Haves

  • Solid foundation in Neuroscience single cell analytics and modeling
  • Strong background in Neuroscience cell type biology
  • Strong communication and scientific presentation skills
  • Exposure to cellular state detection and analyses

Responsibilities

  • Collaborate and work closely with Data Scientists and Scientists to investigate disease associated cellular states and derive biological insights
  • Perform advanced analytics to investigate how disease risk variants alter cellular states
  • Apply single cell methods to analyze cellular state trajectories with respect to clinical disease progression and disease-related endophenotypes
  • Follow all best practices for code version control and reproducible research

Benefits

  • Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan.
  • Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year.
  • Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).
  • For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits
  • Ineligibility for severance.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service