
51 - 200 employees
Founded 2018
🏥 Healthcare
💼 Consulting
🧬 Biotechnology
💰 $100M Series A - Dyno Therapeutics on 2021-05
Healthcare • Consulting • Biotechnology
Dyno Therapeutics is an AI-driven biotechnology company developing high-performance genetic technologies and gene delivery platforms to enable next-generation medicines and expand genetic agency for patients. The company combines machine learning and laboratory science to optimize vectors and delivery systems through partnership-focused programs that accelerate therapeutic development. Based in Watertown, MA, Dyno focuses on translating computational design and experimental data into scalable solutions for gene therapy and genetic medicine.
🕒 July 13
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51 - 200 employees
Founded 2018
🏥 Healthcare
💼 Consulting
🧬 Biotechnology
💰 $100M Series A - Dyno Therapeutics on 2021-05
Healthcare • Consulting • Biotechnology
Dyno Therapeutics is an AI-driven biotechnology company developing high-performance genetic technologies and gene delivery platforms to enable next-generation medicines and expand genetic agency for patients. The company combines machine learning and laboratory science to optimize vectors and delivery systems through partnership-focused programs that accelerate therapeutic development. Based in Watertown, MA, Dyno focuses on translating computational design and experimental data into scalable solutions for gene therapy and genetic medicine.
• Drive engineering quality and reliability of Dyno’s data platform, ensuring access, security, and data lifecycle integrity. • Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools. • Support team members through code and architectural review to systemically increase engineering quality. • Move quickly from prototype to production, balancing speed with reliability. • Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results.
• 6+ years of software engineering experience in industry. • Strong software development best practices: deployment, code management, environment management, and security. • Hands-on cloud engineering experience with GCP and/or AWS, including Terraform, Kubernetes/Docker, and basic cloud networking and security. • Solid experience with data engineering, including relational databases and data modeling. • Expertise in Python or a similar programming language. • React/Javascript experience. • Alignment with Dyno’s core values - We seek individuals who step up when things get tough, recalibrate when priorities shift, and thrive in a high-expectation environment. • A proactive, problem-solving mindset - you don’t just identify challenges; you find solutions.
• Annual performance-based bonus • Stock options • Comprehensive medical, dental, and vision coverage • 401(k) plan • Flexible paid time off and holidays • Perks including on-campus gym membership, onsite lunch, commuter support, and company provided laptop
Apply Now🕒 July 13
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