Countable Labs is seeking a Staff / Sr Staff Data Scientist to lead the development of analytical, visualization, and QC modules that transform large-scale 3D imaging datasets into clear, actionable biological insights, improving data quality, interpretability, and scientific impact.
Requirements
- Proven expertise in image analysis and processing, applied to large or complex scientific datasets.
- Strong foundation in statistics, signal processing, and data normalization techniques.
- Demonstrated ability to evaluate, structure, and interpret complex, noisy datasets with strong analytical judgment and data intuition.
- Experience designing visualization tools and reports that make scientific data accessible and actionable.
- Proficiency in Python and MATLAB; experience with C-Sharp is a plus.
- Experience writing robust, production-grade analytical code and integrating algorithms into software products.
- Experience with deep learning frameworks (PyTorch, TensorFlow) for image or signal analysis.
Responsibilities
- Design and implement algorithms for processing, analyzing, and interpreting large 3D imaging datasets at scale.
- Apply signal and data processing techniques—including noise reduction, normalization, and filtering—to enhance data quality and consistency.
- Use advanced statistical methods and machine learning (e.g., clustering, dimensionality reduction, multilabel classification) to uncover structure and insights in high-dimensional data.
- Define and compute intuitive, quantitative QC metrics that help scientists assess data quality, reproducibility, and confidence.
- Collaborate with product management to design intuitive, customer-facing data reporting and visualization features that make complex results easy to interpret.
- Build robust data analysis and visualization tools that enable scientists to explore, interpret, and communicate their data effectively.
- Collaborate closely with scientists and cross-functional teams to validate algorithms, incorporate feedback into analytical tools, refine workflows, and integrate modules into production pipelines.
Other
- PhD (or equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Applied Physics, or a related quantitative field.
- 5+ years of industry experience developing and delivering data-driven products for customers, ideally in life sciences, genomics, or computational imaging.
- Excellent communication and collaboration skills across interdisciplinary teams.
- Thrives in a fast-paced startup environment, balancing scientific depth with product impact.
- Mentor and support junior team members, fostering technical excellence, rigor, and collaboration across the team.
