Genomics ML Scientist: Multimodal Perturbation (Onsite SF)

Motion Recruitment; South San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Motion Recruitment in South San Francisco is seeking a Computational Scientist to work on a large multimodal perturbation dataset. The contractor will train and evaluate deep learning models, and assess how different data portions influence model learning against experimental results.

The role requires a PhD in a computational field, strong statistics, and proficiency with Python and PyTorch, with access to established codebase and SLURM compute resources.

Qualifications

• PhD or equivalent research experience in a computational field.
• Expertise in training and evaluating DL models with PyTorch on controlled splits.
• Strong applied statistics and reproducible data analysis practice.

Responsibilities

• Train and evaluate models on multimodal perturbation data to assess data contributions to learning.
• Evaluate model outputs against experimental data to validate findings.
• Collaborate with the project lead and maintain the analysis codebase and cluster compute.

Skills

DL model training

Applied statistics

Scientific Python

Education

PhD in computational discipline

Preferred: Computational Biology / Computational Sciences / Statistics / ML

Tools

PyTorch

Python (NumPy/Pandas/Scanpy)

Job description

Motion Recruitment in South San Francisco is seeking a Computational Scientist to work on a large multimodal perturbation dataset. The contractor will train and evaluate deep learning models, and assess how different data portions influence model learning against experimental results.

The role requires a PhD in a computational field, strong statistics, and proficiency with Python and PyTorch, with access to established codebase and SLURM compute resources.