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
Senior/Staff Software Engineer - Full Stack. Dyno is seeking an experienced full stack engineer to lead development of new internal and external products for designing genetic sequences that strengthen Dyno’s position.
How You Will Contribute
As a Senior/Staff Software Engineer - Full Stack on the ML Products Team, you will be a core contributor to new products that will amplify scientists’ capabilities and impact on patients. You’ll build across the stack, ranging from database interfaces, scalable backend web services, frontend development, and incorporating ML models and LLMs into products.
Responsibilities:
- Lead end-to-end development of new products for genetic sequence design within the ML Products team.
- Iterating on ideas and prototypes and then prioritizing the path to an MVP.
- Develop and disseminate best practices for repeatable and scalable end to end product development.
- Collaborate with team members ranging from engineers, computational biologists, ML researchers, and biologists to come up with and build great products.
- Mentor and teach other engineers on the team.
Who you are
- Trusted partner
- Team oriented
- Thoughtful & detail oriented
- Work with a sense of urgency
- Excited about building amazing product experiences that wow scientists
- Appreciation for opportunities at the intersections of data science and biology
- Comfortable with rapid iteration and shifting priorities
Basic qualifications
- Strong programming and system design fundamentals with 4+ years of experience with full stack development.
- Developing frontend applications using modern frameworks such as React (or other comparable frameworks such as Vue.js, Svelte, etc.).
- Backend system design & development from DB to API.
- Experience working cross-team to communicate with both technical and business stakeholders as well as customers.
Preferred qualifications
- Experience with Python backend development (examples include: Django, FastAPI, Flask, etc.).
- Demonstrated examples of applying product taste.
- Excitement about (but not necessarily experience with) building products that let scientists do more, faster.
- Experience building on top of ML models and/or LLMs.
- Have built products in the 0-1 stage.
- Even limited experience managing cloud deployments and environments.
- Excited to learn about bio/gene therapy (no experience necessary).
Location
We welcome remote candidates but strongly prefer individuals based in the NYC or Greater Boston areas to facilitate collaboration and occasional in-person team engagements.
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 [email protected].
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
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What We Do
Dyno Therapeutics is a Cambridge based, VC-backed biotech startup that uses next-gen DNA technologies and machine learning to engineer Adeno-associated Virus (AAV) capsids for effective delivery of gene therapies
