The Company

Dyno Therapeutics is reshaping the gene therapy landscape through AI-powered vectors. Through the application of our transformative technologies and strategic partnerships with leaders in gene therapy, we believe a future with life changing gene therapies for millions of people is within reach. 

Our team includes world-class molecular and synthetic biologists, protein engineers and gene therapy scientists working alongside software engineers, data scientists, and machine learning experts to transform the landscape of available gene therapy capsids. Dyno has been named the 2021 NEVY Emerging Company of the Year, an Endpoints 11 Company and one of America’s Best Startups by Forbes in 2022 and 2023!

The Role

Full time, 40 hours per week, Machine Learning Research Intern, starting June 2025 and running 10-14 weeks. This role is ideal for a student who will be seeking full time employment following their internship.

How You Will Contribute

As a Machine Learning Research Intern, you will be conducting research as part of Dyno’s cutting edge machine learning team. You will have access to one of the most unique datasets of in-vivo measured proteins in the world. And you will apply your expertise in architecting and building ML models to protein modeling problems and adapt solutions to Dyno’s gene delivery goals.

Responsibilities:

• Work in a collaborative environment with ML scientists, computational biologists and experimentalists.
• Help the team execute on building, training, and evaluating models.
• Contribute high-quality code to Dyno’s code base.
• Communicate results to a diverse technical audience.

Who you are

• An active student or recent graduate.
• Team player.
• Attention to detail and scientific rigor.
• Work with a sense of urgency and a can-do attitude.
• Driven by impact.

Basic qualifications

• Proficient Python skills, as evidenced by a project you can showcase to us.
  • Fluent in Pytorch or equivalent.
• Well-developed quantitative skills and experience analyzing and deriving insights from data.
• Seeking a full-time position in the next 2 years following an internship.

Preferred qualifications

• Prior industry experience applying machine learning.
• Experience working with biological data.
• Publications in ML or ML-bio venues.

Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process, nor will we ask for personal information such as financial details over email. Official communication will only come from an @dynotx.com email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain, please report it as spam and report the communication to us at jobs@dynotx.com.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Type: Full-time