Data Science Intern Location: San Diego, CA

Internship Dates: June 23 – September 12 (flexibility with dates as needed)

Neomorph is seeking a curious and motivated Data Science Intern to join our team for the summer. This internship offers a hands-on opportunity to contribute to cutting-edge research in targeted protein degradation, with a focus on exploring novel targets for molecular glue degraders.

Why intern at Neomorph?

As a mission-driven biotech company, Neomorph is committed to scientific innovation, collaboration, and inclusivity. Data science interns at Neomorph gain meaningful exposure to early drug discovery, work alongside experienced scientists, and develop practical job skills to complement their quantitative degrees that are broadly applicable across a variety of industries. You’ll be part of a dynamic, supportive environment where your contributions can make a real impact — and where we value learning just as much as results.

Internship Project and Responsibilities:

The internship project will focus on developing automated analysis methods that support large scale screening studies to identify new candidate compounds. Key responsibilities include:

• Implement data quality assessments in SQL
• Develop statistical models in Python
• Visualize results in Tableau
• Operationalize analytics methods using a deployment framework based on the AWS technology stack

Who You Are:

• You are enrolled in a Bachelors (rising senior) or Masters program pursuing a degree in the mathematical sciences (e.g., mathematics, applied mathematics, statistics, operations research)
• You have completed upper division course (undergrad) or first year graduate course work in statistics and numerical methods
• You are proficient in python programming
• You have experience working with large data sets to perform statistical or numerical analysis, in one or more of the following contexts
  • Substantial school project
  • Prior internship
  • Hackathon or Kaggle competitions
• You are passionate about applying your quantitative skills set to scientific research which has been demonstrated through completing at least 3 semesters or 4 quarters of undergraduate course work in the natural or physical sciences (e.g., biology, chemistry, physics)
• You enjoy working collaboratively in a team-oriented environment