Biotech ML Scientist - Deep Learning & Multimodal Data

BEPC Inc. - Business Excellence Professional Consulting; South San Francisco (CA); On-site; USD 66,000 - 73,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Job summary

The BEPC Inc. - Business Excellence Professional Consulting team in South San Francisco, CA seeks a Computational Scientist to advance deep learning on large multimodal biological datasets.

The role focuses on training and evaluating models with PyTorch, designing controlled experiments, and collaborating with project leads. Strong Python, statistics, and SLURM HPC experience are required. This 12-month W2 contract offers onsite work and comprehensive benefits.

Qualifications

• PhD in a computational discipline or equivalent research experience.
• Academic background in Computational Biology, Computational Science, Statistics, Machine Learning, or a related field.
• Demonstrated experience training and evaluating deep learning models using PyTorch.
• Hands-on experience designing and executing controlled train/test split experiments.
• Experience running machine learning workloads on SLURM-based computing clusters.
• Strong knowledge of applied statistics, statistical modeling, and experimental analysis.
• Advanced proficiency in scientific Python, including NumPy, Scanpy, AnnData.

Responsibilities

• Train, evaluate, and optimize deep learning models using PyTorch on large-scale multimodal biological datasets.
• Design and execute controlled training and testing experiments to assess model performance.
• Analyze how different subsets of multimodal perturbation datasets influence model learning and predictive accuracy.
• Evaluate model predictions and outputs against experimental biological data.
• Conduct statistical analyses to interpret model performance, identify patterns, and validate findings.
• Develop and maintain reproducible scientific analysis workflows using Python, NumPy, pandas, Scanpy, and AnnData.
• Execute computational experiments using SLURM clusters and high-performance computing resources.
• Document experimental methods, analysis pipelines, model evaluations, and research findings.
• Collaborate directly with the project lead to meet research milestones and deliverables.
• Leverage established computational pipelines and analysis codebases to accelerate research.
• Communicate technical findings and recommendations to computational scientists and cross-functional research teams.

Skills

PyTorch

Python

Statistics

SLURM

Education

PhD in Computational Discipline

Tools

NumPy

Scanpy

AnnData

Job description

The BEPC Inc. - Business Excellence Professional Consulting team in South San Francisco, CA seeks a Computational Scientist to advance deep learning on large multimodal biological datasets.

The role focuses on training and evaluating models with PyTorch, designing controlled experiments, and collaborating with project leads. Strong Python, statistics, and SLURM HPC experience are required. This 12-month W2 contract offers onsite work and comprehensive benefits.