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Machine Learning Scientist I

Watertown, Massachusetts, United States

The Role

Machine Learning Research Scientist. This position is ideal for a researcher who is enthusiastic about applying cutting-edge machine learning to solve high-impact problems in gene therapy.

Job Type: Full-time

Location: Watertown, MA

How You Will Contribute

As a Machine Learning Research Scientist, you will be a critical member of Dyno’s world-class machine learning team. You will leverage your expertise to design, implement, and evaluate ML models to solve complex biological sequence modeling problems. Your work will directly advance Dyno’s mission building high performance genetic technologies to transform patient lives.

Responsibilities:

  • Lead the design, development, and evaluation of machine learning models to optimize protein and gene delivery performance.
  • Collaborate closely with computational biologists, experimentalists, and software engineers to integrate ML solutions into Dyno’s core platform.
  • Analyze and derive insights from one of the most unique datasets of in-vivo measured proteins in the world.
  • Drive projects end-to-end, from research and development to deployment, with high-quality code contributions to Dyno’s codebase.
  • Communicate results and findings successfully to internal stakeholders and the broader scientific community.

Who you are

  • A collaborative team player with well-developed scientific and technical expertise.
  • Detail-oriented, with a commitment to scientific rigor and reproducibility.
  • Driven by a sense of urgency and an affinity for impact.
  • A creative problem solver who thrives in a dynamic, interdisciplinary environment.

Basic qualifications

  • PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field.
  • Deep programming skills, with proficiency in Python.
  • Skilled in designing, implementing, and evaluating machine learning models, including expertise with PyTorch or equivalent frameworks.
  • Demonstrated ability to inspect and draw clear insights from large datasets.
  • Proficient communication skills, with the ability to present technical results to diverse audiences.

Preferred qualifications

  • Prior experience applying machine learning to biological sequence design.
  • Industry experience in machine learning research and model deployment.
  • Publications in leading ML or ML-biology venues.

The Company

At Dyno Therapeutics, we are a forward-thinking team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together to shape the future of gene therapy.

Our culture is defined by three core values:

  • One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges.
  • Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results.
  • Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success.

These values are more than words—they guide our daily actions. We seek individuals who share our passion for innovation, excellence, and teamwork. At Dyno, building life-changing technologies isn’t just a job; it’s a mission that drives us forward.

 

Equal Employment Opportunity (EEO) Statement

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.

 

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.

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