Contract ML Scientist - Multimodal & Computational Biology

The Fountain Group; South San Francisco (CA); On-site; USD 60,000 - 86,000; Full time

Job summary

The Fountain Group is seeking a Computational Scientist (Contractor) in South San Francisco, CA to work on multimodal perturbation datasets in a computational biology research setting. You will train and evaluate deep learning models to understand how different components of multimodal data influence performance.

Responsibilities include designing controlled training and testing splits, analyzing model outputs, and validating computational results against experimental data, using an existing

Qualifications

• PhD in a computational discipline or equivalent research experience.
• PhD required; preferred fields include computational biology, computational science, statistics, or machine learning.

Responsibilities

• Design controlled train/test split experiments.
• Analyze model outputs and validate results against experimental data.
• Work with an established analysis codebase and a SLURM-based cluster computing environment.

Skills

Deep learning model training

Train/test split experiments

Statistical analysis

Model evaluation

Reproducible data analysis

SLURM cluster experiments

Education

PhD in computational discipline

Preferred majors: Computational Biology/Computational Science/Statistics/Machine Learning

Tools

PyTorch

Python

NumPy

pandas

Scanpy/AnnData

Job description

The Fountain Group is seeking a Computational Scientist (Contractor) in South San Francisco, CA to work on multimodal perturbation datasets in a computational biology research setting. You will train and evaluate deep learning models to understand how different components of multimodal data influence performance.

Responsibilities include designing controlled training and testing splits, analyzing model outputs, and validating computational results against experimental data, using an existing