Machine Learning Scientist, Dyno Therapeutics

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

Desirable

• 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
• 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