Computational Scientist

Russell Tobin; South San Francisco (CA); On-site; USD 69,000 - 75,000; Full time

Job summary

Russell Tobin is supporting a leading biotechnology organization in South San Francisco, onsite, for a 12-month contract as a Computational Scientist. You will train and evaluate deep learning models on large multimodal perturbation datasets, perform controlled train/test splits, and compare outputs against experimental data.

Proficiency in Python (NumPy/Pandas/Scanpy) and HPC experience are essential. The role emphasizes reproducible workflows and collaboration with research teams to meet

Qualifications

• PhD in computational discipline or equivalent research experience.
• Background in Computational Biology, Computational Sciences, Statistics, or Machine Learning preferred.
• 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 HPC environments.
• Strong applied statistics and data analysis skills.
• Proficiency in Python (NumPy, Pandas, Scanpy/AnnData).

Responsibilities

• Train and evaluate deep learning models using large-scale multimodal perturbation datasets.
• Design and execute controlled train/test split experiments to assess dataset components.
• 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.
• Collaborate with project leads and research teams to deliver milestones and analytical outcomes.

Skills

Deep learning

Python

NumPy

Pandas

Scanpy/AnnData

Statistics

Data analysis

Reproducible workflows

Education

PhD in computational discipline

Tools

PyTorch

SLURM

Job description

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)

Equal Employment Opportunity

PrideGlobal and it's affiliates are an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment

PrideGlobal and it's affiliates are a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations

We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Only applicable for Kentucky positions: For this type of employment, state law requires a criminal record check as a condition of employment. This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.