2025 Machine Learning Research Internship, Dyno Therapeutics
Office located in Watertown, MA
AI-powered gene therapy
Be an early applicant
AI-powered gene therapy
101-200 employees
Be an early applicant
Office located in Watertown, MA
101-200 employees
Company mission
To use machine learning and quantitative experimentation to invent new ways to design gene vectors.
Role
Who you are
- This role is ideal for a student who will be seeking full time employment following their internship
- An active student or recent graduate
- Team player
- Attention to detail and scientific rigor
- Work with a sense of urgency and a can-do attitude
- Driven by impact
- Proficient Python skills, as evidenced by a project you can showcase to us
- Fluent in Pytorch or equivalent
- Well-developed quantitative skills and experience analyzing and deriving insights from data
- Seeking a full-time position in the next 2 years following an internship
- Experience working with biological data
Desirable
- Prior industry experience applying machine learning
- Publications in ML or ML-bio venues
What the job involves
- Full time, 40 hours per week, Machine Learning Research Intern, starting June 2025 and running 10-14 weeks
- As a Machine Learning Research Intern, you will be conducting research as part of Dyno’s cutting edge machine learning team
- You will have access to one of the most unique datasets of in-vivo measured proteins in the world
- And you will apply your expertise in architecting and building ML models to protein modeling problems and adapt solutions to Dyno’s gene delivery goals
- Work in a collaborative environment with ML scientists, computational biologists and experimentalists
- Help the team execute on building, training, and evaluating models
- Contribute high-quality code to Dyno’s code base
- Communicate results to a diverse technical audience
Our take
Gene therapy has the potential to revolutionize healthcare, but the effectiveness of these treatments is currently limited by the naturally occurring vectors (methods of transport for DNA) that scientists have available. Dyno Therapeutics is pioneering an AI-powered approach to gene therapy, that combines machine learning with quantitative high-throughput in vivo experimentation to produce targeted vectors that enable the treatment of a wide range of diseases.
Dyno's CapsidMap platform is capable of creating new and optimized AAV vectors, which are the most common method of delivery for gene therapy for human diseases. It is currently building up a portfolio of these vectors and, in 2021, partnered with Astellas to develop ones specified to skeletal and cardiac muscle. The company has raised impressive funds that will enable it to build out its team and seek new partnerships, as well as expand its platform into as-yet-unserved tissues.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
May 2021
$100m
SERIES A
May 2020
$9m
SEED
Total funding: $109m
Company benefits
- Health & dental insurance through BCBS
- Vision coverage Health Savings Account
- Life Insurance & Disability Coverage
- 401(k) plan
- Access to KGA Life Services, which includes counseling, financial & legal consultations, and referrals for a wide range of services
- 20 vacation days
- Unlimited sick days
- 40 hours of time off for volunteer work
- 12 paid holidays
- Parental leave
- New facility in Watertown, MA
- Free on-site lunch daily
- Commuter benefits
- Free on-site parking
Company values
- Respect: We recognize the unique contributions of each individual and assume the best intent.
- Openness: We share decisions, successes, and failures transparently and honestly to enable others to do their best work.
- Support: We are mindful of others’ needs and well-being.
- Boldness: We fearlessly tackle ambitious scientific and organizational challenges in creative ways.
- Rigor: We practice a thorough and intentional approach to work to generate clearly interpretable results.
- Dedication to teamwork: We succeed as diverse, committed, and accountable teams.
- Empowering individuals: We enable professional growth through support of autonomy, cross-functional understanding and thoughtful risk-taking.
- Collaboration: We actively promote interaction between teams to stimulate innovation and learning.
- Sustainable success: We strive for long-term excellence by balancing joyful and fulfilling work with time to unplug.
Company HQ
Watertown, MA
Articles
Leadership
Eric Kelsic
(CEO)Former Staff Scientist at the Wyss Institute for Biologically Inspired Engineering. PhD in Systems Biology from Harvard.
Sam Sinai
(ML Research Lead)Previously a Graduate Research Assistant at the Wyss Institute for Biologically Inspired Engineering. PhD in Mathematical and Computational Biology from Harvard.
Tomas Björklund
(Scientific Advisor)Professor of Neuroscience at Lund University. Former COO of Genepod Therapeutics.
Adrian Veres
(Scientific Co-Founder)Postdoctoral Research Fellow at Harvard, with a PhD in Systems Biology.
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