Computational Biology Data Analyst Intern

Johnson & Johnson Innovative Medicine • Spring House, PA

1d

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 We are searching for the best talent for Computational Biology Data Analyst Intern to be in PA, Spring House. The Co-op term is from May to August, 2026. Full time requirement (40 hours per week). Purpose: Join our innovative In Silico Discovery (ISD) team at J&J as we advance computational design models that support critical biologics portfolio programs. In this role, you will help develop and evaluate benchmarking workflows for in silico design models and build visualization tools that communicate model performance and design insights across projects. You will work closely with scientists, model developers, and program teams to generate actionable analytics that drive better decision‑making.

Requirements

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a bachelor’s degree in Computer Science, Data Science, Bioinformatics, Engineering, or Chemical Biology or related fields.
• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
• Currently pursuing a degree in Computer Science, Data Science, Bioinformatics, Engineering, or a related field.
• Experience with data analysis tools (e.g., Python, R) is required and dashboard development (e.g., Tableau, Power BI, or similar) is preferred.
• Experience with running command-line tools is required.
• Familiarity with database management and data visualization techniques.
• Strong analytical, problem-solving, and communication skills.
• 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

• Interest in biotechnology, antibody engineering, or computational biology is a plus.

Responsibilities

• Collaborate with scientists and engineers to understand benchmarking needs for antibody design.
• Develop data pipelines to extract and organize information from internal databases.
• Perform comparative analytics to evaluate platform performance and experimental results.
• Design and implement interactive visual dashboards to communicate key metrics and findings.
• Present progress and insights to the team, contributing to platform improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern