Multimodal ML Research Scientist (PhD)

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

Benefits offered by this job

12-month contract

Cluster computing access

Job summary

Pharmaceutical Company in South San Francisco, CA seeks a Computational Scientist to advance research on large-scale multimodal perturbation datasets.

The role focuses on training and evaluating ML models to understand dataset contributions to performance, running controlled experiments, and comparing predictions with experimental results, in collaboration with experienced scientists.

Qualifications

• PhD in a computational discipline or equivalent research experience.
• Backgrounds in Computational Biology, Computational Sciences, Statistics, Machine Learning, or related fields.
• Hands-on experience training and evaluating deep learning models using PyTorch.
• Experience designing and executing controlled train/test split experiments.
• Experience working with SLURM-based computing clusters or HPC environments.
• Strong applied statistics and analytical problem-solving skills.
• Proficiency in scientific Python, including NumPy and Pandas.
• Experience with reproducible and well-documented computational analysis practices.

Responsibilities

• Train and evaluate deep learning models using large-scale multimodal perturbation datasets.
• Investigate how different subsets and components of datasets contribute to model learning and performance.
• Design and execute controlled train/test split experiments to assess model performance.
• Perform computational experiments using PyTorch and SLURM-based HPC environments.
• Apply statistical methods to evaluate model performance, interpret results, and identify meaningful patterns.
• Compare model predictions and outputs against experimental data.
• Develop reproducible, well-documented scientific analyses using Python.
• Collaborate with research scientists and project leads to deliver defined computational research objectives.

Skills

Deep learning

Python programming

Experiment design

Statistics

HPC computing

Education

PhD in computational discipline

Tools

PyTorch

SLURM

NumPy

Pandas

Job description

Pharmaceutical Company in South San Francisco, CA seeks a Computational Scientist to advance research on large-scale multimodal perturbation datasets.

The role focuses on training and evaluating ML models to understand dataset contributions to performance, running controlled experiments, and comparing predictions with experimental results, in collaboration with experienced scientists.