Element Biosciences is looking to analyze and interpret multiomic, single-cell, and sequencing data, develop and implement machine learning models, and apply image processing techniques to drive research and development efforts for their genomics products.
Requirements
- Experience in data science and machine learning techniques
- Experience in working with multiomic and single-cell data is a plus
- Experience with computer vision is a plus
- Strong background in statistics is a plus
- 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
Responsibilities
- Analyze and interpret multiomic, single-cell, and sequencing data to derive meaningful insights
- Develop and implement machine learning models to support various research projects
- Apply image processing techniques to analyze biological images
- Collaborate with cross-functional teams to design and execute experiments
- Explore and analyze large datasets to identify patterns and trends
- Communicate findings and insights to stakeholders through reports and presentations
Other
- Master's degree or PhD in Data Science, Bioinformatics, Computational Biology, or a related field
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
- Frequently moves boxes weighing up to 20 pounds
- San Diego based role
