Element Biosciences is seeking an Engineer, Machine Learning to analyze and interpret multiomic and single-cell data, develop machine learning models, and apply advanced image processing techniques to drive research and development efforts.
Requirements
- Proficiency in common data science tools and programming languages such as Python, PyTorch, Scikit-learn, Pandas and other relevant tools
- Experience with cloud computing platforms (e.g., AWS)
- Familiarity with bioinformatics tools and databases
- Knowledge of experimental design and statistical analysis
- Expertise in data science and machine learning techniques is a plus
- Proficiency in working with multiomic and single-cell data is a plus
- Experience with advanced image processing techniques is a plus
Responsibilities
- Analyze and interpret multiomic and single-cell data to derive meaningful insights
- Develop and implement machine learning models to support various research projects
- Apply advanced image processing techniques to analyze biological images
- Explore and analyze large datasets to identify patterns and trends
- Communicate findings and insights to stakeholders through reports and presentations
- Stay updated with the latest advancements in data science, machine learning, and biotechnology
Other
- Bachelors degree in Data Science, Bioinformatics, Computational Biology, or a related field with 1-3 years of relevant experience, or Masters degree with 0-3 years of experience; PhD is a plus
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
- Domestic travel up to 10%
- San Diego – on-site
