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What You Will Contribute to Altos

The Altos Labs Image Analysis and Visualization group is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales of imaging including: Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups.

Responsibilities

• Conceive and devise innovative algorithms for image processing.
• To develop foundation AI models for imaging and multi-omics data integration and cross domain mapping.
• Build, deploy, and manage image analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework.
• Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers.
• Bridge the communication gap between experimental scientists, algorithm developers and software deployers.
• Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.

Who You Are

We are open to considering candidates at the Scientist I, Scientist II or Senior Scientist level. The level of the position will depend on the qualifications of the selected candidate.

Minimum Qualifications

• PhD in Computer Science/Biomedical Engineering or related quantitative field.
• Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Scala, Julia, etc.
• Previous experience with Image Analysis.
• Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics.
• Demonstrated track record of hands-on technical leadership and scientific contributions such as papers or conference communications.
• Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions.

Preferred Qualifications

• Bioinformatics data processing and analysis.
• Multi source data Integration.
• Experience with cloud computing and dockers.

Salary range: Machine Learning Scientist I, 187,000 - 253,000; Machine Learning Scientist II, 220,000 - 322,400; Senior Machine Learning Scientist, 248,000 - 378,000.

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