Data Scientist

Role Summary 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. Key Responsibilities Develop and apply data science and machine learning methods for cell profiling, segmentation, tracking, and phenotypic analysis from microscopy images. 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.

Qualifications Required:

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 proficiency in Python, with experience in scientific computing, data analysis, and machine learning workflows. Hands-on experience analyzing microscopy or imaging data, particularly for cell profiling, segmentation, tracking, or feature extraction. Familiarity with image analysis and machine learning libraries (e.g., NumPy, SciPy, scikit-image, PyTorch, TensorFlow, or similar). Experience working with large scientific datasets and data formats such as HDF5, Zarr, TIFF, or related serialization/storage systems. Knowledge of statistical analysis, model evaluation, and data visualization for biological data. Strong scientific curiosity, problem-solving skills, and attention to biological and computational detail. A commitment to clear communication, collaboration, and scientific integrity. Experience with multimodal biological data integration.

Preferred:

Master's or Ph.D degree 5+ years of experience Why You'll Love Working Here Competitive salary and benefits, including equity options. Opportunity to work in a fast-paced, innovative environment. Exposure to various facets of business operations in a growing start-up. Professional development opportunities in a supportive setting. Access to cutting edge technology. Equal Opportunity Statement Ramona is an equal opportunity employer committed to diversity and inclusion in the workplace. Interested? Send resume and cover letter to hr@ramonaoptics.com with subject "Data Scientist Application" and brief answers to the following questions: What is your experience with data science? What is a project you have worked on outside of your academic studies or work and what excites you about it? What skills do you hope to develop in working as a data scientist at Ramona? ‍