Computational Scientist

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

Job Title: Computational Scientist (Contractor) - Computational Biology / Machine Learning

Location: South San Francisco, CA (Onsite)

Pay Rate: $52.88/hr

Duration: 12 Months

Job Description

Seeking a Computational Scientist to work on multimodal perturbation datasets in a computational biology research environment. The role involves training and evaluating deep learning models to understand how different components of multimodal datasets contribute to model performance.

Responsibilities include designing controlled train/test split experiments, analyzing model outputs, and validating computational results against experimental data. The scientist will work with an established analysis codebase and SLURM-based cluster computing environment.

Education

• PhD in a computational discipline or equivalent research experience.
• Preferred majors: Computational Biology, Computational Science, Statistics, or Machine Learning.

Required Skills

• Hands-on experience training and evaluating deep learning models using PyTorch.
• Experience designing and executing controlled train/test split experiments.
• Proficiency in scientific Python, including NumPy, pandas, and Scanpy/AnnData.
• Strong applied statistics and model evaluation expertise.
• Experience running computational experiments on SLURM clusters.
• Reproducible and documented scientific data analysis.

Preferred Skills

• Single-cell transcriptomics analysis.
• CRISPR perturbation screen analysis, including Perturb-seq.
• Representation learning.
• Image analysis.