Bioinformatics Engineer (Image Analysis)
Description For Bioinformatics Engineer (Image Analysis)
Vivodyne is revolutionizing drug discovery and development through an innovative platform that combines novel biology, robotics, and AI. The company enables testing of drug candidates against lab-grown human organs and multi-organ systems, significantly reducing risks in therapeutic development.
As a Bioinformatics Engineer (Image Analysis), you'll join the AI Team to tackle challenging scientific problems using cutting-edge research and massive-scale human tissue imagery. The role involves designing and implementing sophisticated image analysis pipelines that are crucial to the company's R&D efforts. You'll work at the intersection of AI, biology, and engineering, collaborating with cross-functional teams including AI researchers, microfluidics experts, robotics engineers, and tissue biologists.
Key responsibilities include developing scalable image processing workflows, implementing both classical and modern machine learning approaches, and optimizing performance of complex analytical systems. You'll work primarily with Python, potentially extending to C++, CUDA, or GLSL for performance-critical components. The role requires expertise in cloud computing (AWS), strong mathematical foundations, and the ability to translate complex biological requirements into computational solutions.
The ideal candidate combines technical excellence with scientific rigor, bringing experience in biological or biomedical imaging alongside strong software engineering skills. You'll need to balance short-term deliverables with long-term architectural goals while maintaining high standards for code quality and system performance.
This position offers the opportunity to work on groundbreaking technology that directly impacts therapeutic discovery, backed by top venture funds and pharmaceutical partners. The role is based in San Francisco, offering competitive compensation between $220,000 and $270,000 USD. Join Vivodyne to be part of a team that's transforming the future of drug development through the innovative application of AI and robotics to biological systems.
Responsibilities For Bioinformatics Engineer (Image Analysis)
- Design and implement scalable image processing pipelines for 2D, 3D, and time-series biological imaging data
- Apply classical and modern machine learning techniques for complex cellular and tissue image analysis
- Architect and maintain cloud compute pipelines for massive datasets
- Optimize image processing algorithms for speed, accuracy, and resource efficiency
- Develop high-quality, well-documented code primarily in Python
- Evaluate and integrate open source image processing libraries
- Collaborate with tissue engineers and AI/ML researchers
- Maintain scientific rigor in experimental results and system performance
- Document and present technical findings to diverse audiences
Requirements For Bioinformatics Engineer (Image Analysis)
- Bachelor's, Master's, or PhD in Computer Science, Applied Mathematics, or related field
- Proficiency in Python with experience in NumPy, SciPy, scikit-image, OpenCV
- Experience with AWS or major cloud providers
- Expertise in applied mathematics, including linear algebra and statistics
- Experience with machine learning and deep learning methods for image analysis
- Knowledge of classical image processing algorithms
- Experience optimizing computational pipelines in cloud environments
- Strong communication and collaboration skills
- Domain experience in biological or biomedical imaging (preferred)
