Countable Labs · 1 month ago
Lead Data Scientist, Computational Biology & Imaging
Palo Alto, CA
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expCountable Labs is a fast-growing startup focused on reimagining the future of genomics through innovative tools. They are seeking a Lead Data Scientist in Imaging & Computational Biology to mentor a team while contributing hands-on to algorithm development and cross-functional collaboration, shaping the analytical foundation of their next-generation platform.
BiopharmaBiotechnologyClinical TrialsLife Science
Responsibilities
Lead and mentor a small team while staying deeply hands-on (>50% IC contribution)
Drive sprint planning, guide priorities, run standups, and support day-to-day execution
Elevate technical rigor, clarity, and analytical thinking through mentorship and review
Foster a culture of curiosity, accountability, transparency, and collaborative problem solving
Design algorithms for image processing, dye decoding, noise reduction, feature extraction, and multilabel classification
Build analysis tools in MATLAB and Python for large, complex biological imaging datasets
Develop interpretable QC metrics and visualization tools that help scientists assess data quality and reproducibility
Prototype and validate new approaches using real and synthetic datasets
Partner with scientists to analyze experiments and diagnose complex data issues
Identify root causes and propose robust algorithmic or workflow solutions
Provide analytical insights that inform assay development, validation, and platform direction
Partner with Product on customer-facing data analysis and reporting features
Collaborate with engineering to integrate algorithms into production systems
Communicate analytical decisions and scientific findings clearly across teams
Establish standards for software quality, testing, documentation, and reproducibility
Champion best practices in data integrity, statistical rigor, and scientific reasoning
Stay current with state-of-the-art algorithms in imaging, computational biology, and machine learning
Guide the evaluation and adoption of new analytical methods that bring scientific or product value
Qualification
Required
PhD (or equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Applied Physics, or a related quantitative field
5+ years of industry experience building imaging or computational analysis tools
Experience managing and leading technical teams, including mentoring scientists/engineers and guiding team execution
Demonstrated ability to guide complex analytical initiatives or project teams
Proficiency in Python and MATLAB; experience with C++ or C# is a plus
Proven track record of delivering robust, production-grade analytical software, including testing, documentation, and performance optimization
Demonstrated ability to evaluate, structure, and interpret complex, noisy datasets with strong analytical judgment and scientific intuition
Excellent communication, scientific intuition, and cross-functional collaboration skills
Thrives in a fast-paced, interdisciplinary startup environment
Excellent organizational and interpersonal skills, with the ability to motivate, coach, and influence both direct reports and peers
Preferred
Experience applying deep learning frameworks (PyTorch, TensorFlow) to imaging or biological data
Strong familiarity with fluorescence imaging, optical microscopy, or advanced quantitative imaging modalities
Background in spatial or single-cell genomics and high-dimensional biological analysis
Experience building scientist-facing visualization or analytic tools, especially frameworks used to explore complex datasets
Demonstrated thought leadership or research experience in computational imaging or ML for biology
Company
Countable Labs
Countable Labs provides a PCR system for single-molecule counting and high-sensitivity molecular detection in biotechnology.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Christina Fan
Co-Founder and CTO
Recent News
Precedence Research
2025-12-02
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