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Sr. / Staff Scientist, Computational Biology

Cellanome

San Diego, CA (San Diego, CA ) permanent

Posted: February 24, 2026

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Quick Summary

We're a well-funded start-up. You’ll get a chance to wear many hats, be part of a growing team, and have the potential for exciting financial and career growth.

Job Description

We’re a well-funded start-up. You’ll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth.

Here’s what sets us apart. We’ve set our sights on some of the biggest challenges facing biology today. We’re amassing a world class team of engineers, scientists, team builders and problem solvers to tackle these challenges heads-on. We’re passionate about developing the next generation technologies that will unravel the complexities of biology.

This is a unique opportunity to build, be part of an exciting start-up and be surrounded by good humans who are super capable, humble and down-to- earth.

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.

Essential Duties include but are not limited to the following:

• 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.

Minimum Qualifications:

• 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/GitHub) 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

Preferred Qualifications:

• 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, Geneformer) 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.

What you can expect from us:

You’ll feel the energy when you walk in our door – we work hard, we have fun and we have ambitious plans to grow. Cellanome offers a comprehensive employment package that includes a competitive salary, generous stock options, great individual, and family health plans, a 401(k) and flexibility to balance work and life.

We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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