Machine Learning Scientist I
Machine Learning Scientist I
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1 Vacancy
Job Description
The Role
Machine Learning Research Scientist. This position is ideal for a researcher who is enthusiastic about applying cuttingedge machine learning to solve highimpact problems in gene therapy.
Job Type: Fulltime
Location: Watertown MA
How You Will Contribute
As a Machine Learning Research Scientist you will be a critical member of Dynos worldclass machine learning team. You will leverage your expertise to design implement and evaluate ML models to solve complex biological sequence modeling problems. Your work will directly advance Dynos mission building high performance genetic technologies to transform patient lives.
Responsibilities:
- Lead the design development and evaluation of machine learning models to optimize protein and gene delivery performance.
- Collaborate closely with computational biologists experimentalists and software engineers to integrate ML solutions into Dynos core platform.
- Analyze and derive insights from one of the most unique datasets of invivo measured proteins in the world.
- Drive projects endtoend from research and development to deployment with highquality code contributions to Dynos codebase.
- Communicate results and findings successfully to internal stakeholders and the broader scientific community.
Who you are
- A collaborative team player with welldeveloped scientific and technical expertise.
- Detailoriented with a commitment to scientific rigor and reproducibility.
- Driven by a sense of urgency and an affinity for impact.
- A creative problem solver who thrives in a dynamic interdisciplinary environment.
Basic qualifications
- PhD in Computer Science Machine Learning Computational Biology or a related quantitative field.
- Deep programming skills with proficiency in Python.
- Skilled in designing implementing and evaluating machine learning models including expertise with PyTorch or equivalent frameworks.
- Demonstrated ability to inspect and draw clear insights from large datasets.
- Proficient communication skills with the ability to present technical results to diverse audiences.
Preferred qualifications
- Prior experience applying machine learning to biological sequence design.
- Industry experience in machine learning research and model deployment.
- Publications in leading ML or MLbiology venues.
The Company
At Dyno Therapeutics we are a forwardthinking team on a mission to build highperformance genetic technologies that transform patient lives. Our team unites worldclass molecular biologists protein engineers software developers data scientists and machine learning expertsall working together to shape the future of gene therapy.
Our culture is defined by three core values:
- One Mission: Everything we do is for the mission. We are a cohesive and motivated team thinking ahead and supporting one another to overcome challenges.
- Proactive Responsibility: We take action inject energy into our work and hold ourselves accountable for delivering results.
- Reaching for Excellence: We constantly strive for excellence fueled by curiosity adaptability and the courage to speak hard truths in pursuit of success.
These values are more than wordsthey guide our daily actions. We seek individuals who share our passion for innovation excellence and teamwork. At Dyno building lifechanging technologies isnt just a job; its a mission that drives us forward.
Equal Employment Opportunity (EEO) Statement
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.
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 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
Employment Type
Full Time
