Senior Computational Biologist: ML for SingleCell Genomics

Apollopros; South San Francisco (CA); On-site; USD 96,000 - 165,000; Full time

Job summary

Apollopros is seeking a Computational Scientist (Contract) in South San Francisco, onsite, for a 12-month engagement. The role focuses on applying advanced machine learning and statistics to complex biological datasets, with emphasis on model evaluation against experimental outcomes.

You will train and optimize deep learning models using large multimodal perturbation data, design controlled experiments on SLURM clusters, and analyze results with stakeholders.

Qualifications

• Education PhD in a computational discipline or equivalent research experience.

Responsibilities

• Train, optimize, and evaluate deep learning models using large-scale multimodal perturbation datasets.
• Design and execute controlled train/test split experiments to assess data subsets impact on learning and predictive performance.
• Analyze model outputs and compare findings against experimental biological data.
• Develop quantitative frameworks to understand data value, model performance, and generalization capabilities.
• Conduct rigorous statistical analyses and communicate results to project stakeholders.
• Utilize existing analysis pipelines, computational infrastructure, and cluster computing resources to execute research objectives.
• Maintain reproducible, well-documented analytical workflows and scientific code.

Job description

Apollopros is seeking a Computational Scientist (Contract) in South San Francisco, onsite, for a 12-month engagement. The role focuses on applying advanced machine learning and statistics to complex biological datasets, with emphasis on model evaluation against experimental outcomes.

You will train and optimize deep learning models using large multimodal perturbation data, design controlled experiments on SLURM clusters, and analyze results with stakeholders.