Sr Engineer II, Machine Learning
$139,500–$183,500 year
On-site · San Diego, California, United States
Job Summary
Senior Engineer II, Machine Learning responsible for analyzing multiomic and single-cell data to derive meaningful insights, developing and implementing ML models to support research projects, applying advanced image processing techniques to analyze biological images, collaborating with cross-functional teams to design and execute experiments, exploring and analyzing large datasets to identify patterns and trends, and communicating findings to stakeholders through reports and presentations; role requires a Master’s degree in Data Science, Bioinformatics, Computational Biology, or related field (or PhD) and 5-7 years of experience, Python/PyTorch/Scikit-learn/Pandas proficiency, AWS experience, and on-site work in San Diego.
Required Qualifications
- Master's degree in Data Science, Bioinformatics, Computational Biology, or related field with 5-7 years of relevant experience, or PhD with 0-3 years of experience
- Expertise in data science and machine learning techniques
- Proficiency in working with multiomic and single-cell data
- Experience with advanced image processing techniques
- Strong background in statistics
- Proficiency in 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
- Excellent problem-solving and communication skills
- Strong collaboration skills
- On-site work in San Diego
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