Computational Scientist - Multimodal ML for Biotech

Spectraforce Technologies, Inc.; South San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Spectraforce Technologies, Inc. is seeking a Computational Scientist for a 12-month onsite assignment in South San Francisco. The role focuses on training and evaluating models on multimodal perturbation datasets and understanding how data portions affect learning.

You will work with PyTorch, perform controlled train/test experiments on a SLURM cluster, and compare model outputs to experimental data while collaborating with the project lead and a strong team of biotech professionals.

Qualifications

• PhD in a computational discipline, or equivalent research experience.
• Preferred majors: Computational Biology, Computational Sciences, Statistics or Machine Learning.
• Training and evaluating deep learning models in PyTorch, including controlled train/test split experiments on a SLURM cluster.
• Strong applied statistics.
• Proficient scientific Python (numpy, pandas, scanpy/anndata) and reproducible, documented analysis practice.

Responsibilities

• Train and evaluate models on multimodal perturbation datasets.
• Characterise how different portions of the dataset contribute to model learning.
• Evaluate model performance and model outputs against experimental data.

Skills

Applied statistics

Python programming

Deep learning

Education

PhD in computational discipline

Tools

PyTorch

NumPy

Pandas

Scanpy

AnnData

Job description

Spectraforce Technologies, Inc. is seeking a Computational Scientist for a 12-month onsite assignment in South San Francisco. The role focuses on training and evaluating models on multimodal perturbation datasets and understanding how data portions affect learning.

You will work with PyTorch, perform controlled train/test experiments on a SLURM cluster, and compare model outputs to experimental data while collaborating with the project lead and a strong team of biotech professionals.