Computational Scientist
Pride Global · South San Francisco, CA
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Actively hiring
Posted 3 days ago · still listed on the employer's own board · How we score
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In its favour
- Posted 3 days ago
- Still listed on the employer's own board
- Publishes a salary range
Russell Tobin is supporting a leading biotechnology organization with an onsite contract opening for a Computational Scientist in South San Francisco, CA.
This role will focus on analyzing large-scale multimodal perturbation datasets, training and evaluating deep learning models, and understanding how different datasets contribute to model performance and learning.
Responsibilities
- Train and evaluate deep learning models using large-scale multimodal perturbation datasets.
- Design and execute controlled train/test split experiments to assess the impact of different dataset components on model performance.
- Evaluate model outputs and performance against experimental data.
- Analyze complex biological datasets using statistical and computational methods.
- Develop reproducible, well-documented analysis workflows using scientific Python tools.
- Execute computational experiments on SLURM clusters and utilize established analysis codebases and computing resources.
- Collaborate with project leads and research teams to deliver defined project milestones and analytical outcomes.
Requirements
- PhD in a computational discipline or equivalent research experience.
- Preferred backgrounds include Computational Biology, Computational Sciences, Statistics, or Machine Learning.
- Hands-on experience training and evaluating deep learning models using PyTorch.
- Experience designing and executing controlled train/test split experiments.
- Experience working with SLURM clusters and high-performance computing environments.
- Strong applied statistics and data analysis skills.
- Proficiency in Python, including NumPy, Pandas, and Scanpy/AnnData.
- Experience analyzing biological or multimodal datasets is highly desirable.
- Strong scientific documentation, reproducible analysis, and problem-solving skills.
Preferred Qualifications
- Experience with single-cell transcriptomics
- Experience with analysis of CRISPR perturbation screens (perturb-seq or similar).
- Familiarity with representation learning
- Familiarity with image analysis
Additional Details
- Location model: South San Francisco, CA 94080 (Onsite)
- Shift: Mon to Fri 8hrs/day, 40hrs/week
- Position Type: 12-month contract (potential to extend)
- Pay range approved: $50/hr - $54.50/hr (depending on experience)
APPLY NOW!
Russell Tobin is a professional recruitment and staffing advisory firm that connects job seekers and employers across various industries. We are a staffing arm of Pride Global. Affiliates include Russell Tobin, Pride health, Pride Now and Pride One.
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Skills
- Deep Learning
- Python
- Slurm
- Machine Learning
- PyTorch
- NumPy
- Pandas
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