Imaging ML Scientist (Hybrid) – Disease Targets

insitro; South San Francisco (CA); Hybrid; USD 215,000 - 235,000; Full time

Benefits offered by this job

401(k) plan with employer matching

Medical, dental, and vision coverage

Flexible vacation policy

Paid parental leave

Quarterly budget for self-development

Support for attending professional conferences

Home office setup stipend

Monthly stipend for cell phone & internet

Onsite baristas and daily lunch

Commuter bus network access

Job summary

insitro in South San Francisco is looking for an Imaging ML Scientist to develop ML-based pipelines for insights from microscopy data. The role involves collaboration with scientists to optimize imaging workflows and developing novel computer vision methods. Candidates should have a Ph.D. in related fields or equivalent experience, strong Python skills, and familiarity with deep learning frameworks. This hybrid position requires presence on-site at least three days a week, offering a competitive salary between $215,000 - $235,000, along with various benefits including medical coverage and a flexible vacation policy.

Qualifications

• Ph.D. in computer vision, machine learning, computer science or a related discipline.
• Strong programming skills in Python, including handling TB-scale datasets.
• Experience developing models for computer vision tasks including segmentation.

Responsibilities

• Partner with scientists to design high-throughput imaging experiments.
• Develop novel ML methods for microscopy image analysis.
• Build robust image analysis workflows for user accessibility.

Skills

Computer vision

Machine learning

Python programming

Deep learning frameworks (e.g., PyTorch, TensorFlow)

Microscopy data experience

Collaboration skills

Education

Ph.D. in computer vision, machine learning, or related discipline

Master's degree with 2+ years relevant experience

Tools

AWS

SQL

Job description

insitro in South San Francisco is looking for an Imaging ML Scientist to develop ML-based pipelines for insights from microscopy data. The role involves collaboration with scientists to optimize imaging workflows and developing novel computer vision methods. Candidates should have a Ph.D. in related fields or equivalent experience, strong Python skills, and familiarity with deep learning frameworks. This hybrid position requires presence on-site at least three days a week, offering a competitive salary between $215,000 - $235,000, along with various benefits including medical coverage and a flexible vacation policy.