Data Scientist

About Ramona

High-throughput optical microscopy is transforming the science of modern biology — from genetics to drug discovery to synthetic biology. It is rapidly improving efficiency and opening up new possibilities across a wide range of applications.

But scientists today are fundamentally constrained by the limited perspective of traditional microscopes. As field-of-view increases, resolution decreases. Yet modern biology requires an ability to capture precise data across larger areas and at multiple points in time to understand dynamic systems and reduce costs by accelerating tedious workflows.

At Ramona, we’ve reimagined microscopy for the modern researcher. Our Multi-Camera Array Microscope (MCAM) is the first of its kind to offer video-speed capture of cellular detail across an entire well plate. By equipping scientists with unprecedented speed, precision, and insight, we’re on a mission to advance human health and insight through computational microscopy.

Our startup environment is fast-paced and constantly evolving. Success here is driven by a willingness to embrace new challenges and make a tangible impact on our overall success. Our team members thrive on the edge of innovation, wearing multiple hats and coming up with creative solutions to drive growth. For those who excel in dynamic, ever-changing environments and are ready to contribute wherever needed, Ramona offers numerous opportunities for professional growth.

However, if you prefer a more structured or predictable work environment, Ramona’s fast-paced environment might not be the best fit. We’re looking for team members who are eager to push boundaries and shape the future of microscopy and scientific research.

We are seeking a data scientist to advance our cell profiling and computational microscopy platform, transforming large-scale imaging data into biological insight. You will work closely with biologists, microscopists, and software engineers to design and deploy data-driven methods that extract meaningful cellular phenotypes from complex image data. In this role, you will help build scalable data analysis pipelines and backend systems that enable high-throughput cell profiling, reproducible science, and efficient data exploration.

We are looking for a data scientist who is excited to operate at the intersection of imaging, machine learning, and biology, helping lay the foundation for scalable cell-level analysis.

• Develop and apply data science and machine learning methods for cell profiling, segmentation, tracking, and phenotypic analysis from microscopy images.
• Apply computational methods to integrate genomics, transcriptomics, and proteomics data with high-content microscopy datasets to enable multimodal cellular phenotyping and biological insight discovery.
• Collaborate with a cross-disciplinary team to design scalable data representations and analysis workflows for high-content microscopy datasets.
• Build and optimize data pipelines that support large-scale image analysis, feature extraction, and downstream statistical modeling.
• Contribute to the design and maintenance of backend infrastructure that supports reproducible analysis, storage, and retrieval of cell-level data.
• Document models, analysis workflows, and data schemas for internal teams and external collaborators.
• Evaluate and integrate emerging methods in computational biology, machine learning, and imaging to improve scalability, accuracy, and interpretability.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Biomedical Engineering, Computational Biology, or a related field (or equivalent experience).
• 2 years of experience
• Strong…