2025 Machine Learning Research Internship, Dyno Therapeutics

Salary not provided
Python
PyTorch
Next
Boston

Office located in Watertown, MA

Dyno Therapeutics

AI-powered gene therapy

Be an early applicant

Dyno Therapeutics

AI-powered gene therapy

101-200 employees

HealthcareB2BArtificial IntelligenceDeep TechBiologyMachine Learning

Be an early applicant

Salary not provided
Python
PyTorch
Next
Boston

Office located in Watertown, MA

101-200 employees

HealthcareB2BArtificial IntelligenceDeep TechBiologyMachine Learning

Company mission

To use machine learning and quantitative experimentation to invent new ways to design gene vectors.

Company mission

To use machine learning and quantitative experimentation to invent new ways to design gene vectors.

Top investors

Few candidates hear
back within 2 weeks

9% employee growth in 12 months

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 headshot

Steph

Company Specialist at Welcome to the Jungle

Benefits

  • Parental leave
  • Vision coverage Health Savings Account
  • 401(k) plan
  • Free on-site parking
  • 20 vacation days
  • 40 hours of time off for volunteer work
  • Unlimited sick days
  • Commuter benefits
  • Life Insurance & Disability Coverage
  • Health & dental insurance through BCBS
  • Access to KGA Life Services, which includes counseling, financial & legal consultations, and referrals for a wide range of services
  • 12 paid holidays
  • New facility in Watertown, MA
  • Free on-site lunch daily

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.

Funding (2 rounds)

May 2021

$100m

SERIES A

May 2020

$9m

SEED

Total funding: $109m

This company has top investors

Leadership

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.

Jobs (3)

All locations

Software Engineering