Machine Learning Scientist I

Dyno Therapeutics; Watertown (MA); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a Machine Learning Research Scientist to revolutionize gene therapy using cutting-edge technology. In this role, you will design and implement machine learning models to solve complex biological problems, collaborating with a talented team of scientists and engineers. Your contributions will directly impact the development of high-performance genetic technologies that transform patient lives. If you are passionate about applying your expertise in a dynamic and interdisciplinary environment, this is the perfect opportunity to make a difference in healthcare.

Benefits

Competitive compensation

Equity options

High-trust environment

Career-defining experience

Qualifications

• PhD in a related field with deep programming skills.
• Expertise in designing and evaluating ML models.

Responsibilities

• Lead design and evaluation of ML models for gene delivery.
• Collaborate with biologists and engineers to integrate ML solutions.

Skills

Machine Learning

Python

PyTorch

Data Analysis

Education

PhD in Computer Science

PhD in Machine Learning

PhD in Computational Biology

Tools

PyTorch

TensorFlow

Job description

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 high-energy, high-impact 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 at the intersection of AI and genetic medicine.

Our culture is defined by three core values that guide everything we do:

• 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 drive our actions and decisions. Our greatest strength isn't technology—it's our work ethic. More than just technologists, we're a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.

What You'll Give:

• Bring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.
• Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.
• Operate with urgency, responsibility, and resilience, because this mission demands the best from us.
  
  

What You'll Get:

• Competitive compensation & equity—your contributions drive results, and we pay accordingly.
• Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges.
• A career-defining experience—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.
  
  

If you're ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment—we'd love to hear from you.

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 [e-mail].