Summer Intern - Biometrics

Rocket PharmaceuticalsCranbury, NJ
19h

About The Position

Create a future where DNA is no longer destiny. Join Rocket Pharma. Rocket Pharma is a fully integrated, late-stage biotechnology company advancing gene therapies with curative potential for patients with rare and life-threatening diseases. We are a team of creative, compassionate, and driven individuals united by a profound mission of seeking gene therapy cures. Rocket places tremendous value on our people and fosters a collaborative environment where bold ideas thrive and every team member makes a meaningful impact. Our core values guide everything we do: we trust one another, show generosity toward patients, embrace curiosity, and strive to elevate science. Position Summary Rocket Pharmaceuticals is offering a paid 10-week summer internship for university students interested in gaining hands-on experience in a fast-paced biotechnology environment. This internship provides an opportunity to work alongside experienced professionals dedicated to advancing curative gene therapies for patients with devastating diseases. This intern position will support R programming and data visualization initiatives within the Biometrics team. In addition to being mentored by the Head of Statistical Programming, the intern will get an opportunity to work closely with Biostatisticians and Statistical Programmers to gain experience in Drug Development, Clinical Trials and how the clinical data are analyzed for regulatory submissions.

Requirements

  • Advanced Master students majoring in Data Science, Biostatistics, Computer Science or similar discipline
  • Strong hands-on experience with R programming language. Familiarity with additional programming languages such as SAS is a plus.
  • Experience in developing interactive data visualizations and dashboards.
  • Strong communication skills with the ability to collaborate effectively in a team environment.
  • Ability to follow instructions and work independently.

Responsibilities

  • Develop R programs for Tables, Figures, and Listings (TFLs) to support exploratory analyses and publication-ready outputs.
  • Support the development of interactive data visualizations and dashboards based on stakeholder requirements.
  • Translate analytical needs into effective programming solutions by working closely with Biostatisticians, Statistical Programmers and other functions.
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