Computational Biologist

Cellanome is adding a Sr. or Staff Scientist, Computational Biology to the team (exact level dependent on experience). This role will lead computational analysis efforts in close collaboration with the core R&D teams and external collaborators, driving the analysis and interpretation of complex, multimodal biological datasets generated by the Cellanome platform.

• Partner with interdisciplinary scientists to shape experiment design, data collection strategies, analysis approaches, and interpretation of results.
• Apply machine learning, statistical modeling, and emerging approaches such as foundation models to extract meaningful insights from large-scale biological datasets.
• Lead end-to-end analysis of multimodal datasets, synthesize findings, and report results effectively to internal teams, leadership, and external stakeholders.
• Translate findings into strategic recommendations that shape platform development priorities and analysis workflows.
• Support the development and optimization of analytical pipelines and interactive tools for processing multimodal datasets generated by the platform.
• Work at a computer for approximately 90% of a typical workday.

• PhD in quantitative field (bioinformatics, biology, computational/systems biology, physics, mathematics). Typically requires at least 5 years of relevant experience.
• Demonstrated expertise in single-cell sequencing analysis, supported by a strong scientific understanding of single-cell biology.
• Strong background in molecular biology, cellular biology, genetics and/or biochemistry, with a solid understanding of biological principles and experimental techniques.
• Proficiency in R and Python, with expertise in data visualization libraries (e.g., ggplot2, seaborn, matplotlib) to generate clear, insightful visualizations for both technical and non-technical audiences.
• Proficiency with version control systems (e.g. Git/Git Hub) and commitment to reproducible, well-documented workflows.
• Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.
• Demonstrated ability to perform the Essential Duties of the position with or without reasonable accommodations

• Track record of scientific contributions demonstrated through publications, preprints, or conference presentations.
• Experience developing production-grade R/Python analysis packages with a focus on usability, scalability, and maintainability, including contributing to tools with a growing user base.
• Familiarity with foundation models applied to biological data, such as single-cell transcriptomic models (e.g., scGPT, Gene former) or self-supervised vision models for cellular morphology (e.g., DINO, MAE).
• Experience developing interactive applications (e.g. Shiny, Streamlit) to streamline data exploration and reporting for diverse audiences, including collaborators and stakeholders.
• Experience with cloud computing, preferably AWS.
• Experience with analysis of imaging data, including fluorescence microscopy and/or flow cytometry.

We provide competitive total compensation packages, including base pay, benefits, and equity. The estimated base salary range for this position is $150,000 - $200,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.