Summer 2024 Machine Learning Internship
Watertown, MA
Dyno Therapeutics
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
Machine Learning Intern. Dyno is the pioneer of using machine learning for black-box protein design. The Machine Learning team creates models and algorithms that power an ML-in-the-loop experimental platform with the goal of designing superior AAV capsids to unlock gene therapy delivery. Some of the tools the team has built to date include sequence-to-function predictive models, generative models for de novo sequence design, black-box optimization algorithms, and distribution shift detection methods.
Summer internships are full-time (40 hours per week) and run June - August.
How You Will Contribute
As a Machine Learning Intern, you will be responsible for contributing to Dyno’s machine learning platform by helping to conduct research at the cutting edge of machine learning and protein engineering. Examples of the rich technical challenges that the ML team is tackling include coping with designed distribution shift, measurement noise, and experimental batch effects, and modeling useful unsupervised capsid representations. These examples are by no means exhaustive, and we welcome your ideas for testing new methods on Dyno’s abundant data!
Responsibilities:
- Develop sequence-function or structure-function prediction models using state-of-the-art modeling architectures
- Design experiments to improve and validate our computational methods
- Reason about uncertainty and outliers in biological datasets
- Develop unsupervised methods for characterizing promising optimization targets
Who you are
- Team-oriented contributor excited to work as a trusted collaborator with other researchers
- Attentive to detail and able to independently work through challenges
- Keen on translating research insights into practical solutions
- Eager to learn about biology, and motivated to advance the state of ML knowledge in biology
- Strong execution skill and ability to operate in a fast paced environment
Basic qualifications
- Currently enrolled in a PhD program in Machine Learning, Protein Engineering, Applied Math, Statistics, Optimization, Computational Biology, or similar topics
- Track-record of research in machine learning applications
- Expertise in Python scientific computing (numpy, scipy, pandas, Jupyter notebooks) and ML stack (sklearn and one of Pytorch or Tensorflow)
- Eager to learn about the intersection of machine learning and biology
Preferred qualifications
- Track-record of research in machine learning applications for protein science, protein design protein engineering, or similar topics
- Publications and/or presentations in leading Machine Learning or Biology conferences or similar
- Familiarity with structural protein design or training large language models
- Familiarity with any of the following is not required, but is helpful: Next-Generation Sequencing (NGS) data, molecular biology, structural biology, protein engineering, gene therapy, immunology, virology, and experimental techniques in high throughput assays
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
Tags: Architecture Biology Engineering Generative modeling Jupyter LLMs Machine Learning Mathematics NumPy Pandas PhD Protein engineering Python PyTorch Research Scikit-learn SciPy Statistics TensorFlow Testing
Perks/benefits: Conferences
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs