Machine Learning Scientist – Computational Biology – Multiple Levels
| Company | Deep Genomics |
|---|---|
| Location | Cambridge, MA, USA, Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Mid Level, Senior |
Requirements
- PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered)
- Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX
- Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization
- Excellent scientific writing and communication skills.
Responsibilities
- Develop and implement advanced machine learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery.
- Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates.
- Design and execute computational and experimental studies to validate and improve model predictions.
- Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges.
- Share research findings through presentations, publications, and technical discussions.
Preferred Qualifications
- Experience in computational biology, genomics, or drug discovery.
- Familiarity with RNA biology, structural biology, or systems biology.
- Proven track record of publishing in top-tier conferences or journals.
- Experience developing machine learning models for production, particularly in drug design.
- Proficiency with cloud computing platforms (e.g., AWS, GCP) or distributed computing frameworks.