Computational Scientist

Location: South San Francisco, CA

Pay rate: 57.00/hr.

Introduction

This role involves providing academic counseling and support for graduate recruitment and admissions. The position requires a combination of on-site and remote work, with a focus on advising students, maintaining records, and coordinating various academic processes.

Required Skills & Qualifications

• Training and evaluating deep learning models in PyTorch, including designing and executing controlled train/test split experiments on a SLURM cluster.
• Strong applied statistics
• Proficient scientific Python (numpy, pandas, scanpy/anndata) and reproducible, documented analysis practice.
• Prior work experience at the client or in the client's industry
• Applicants must be able to work directly for Artech on W2

Preferred Skills & 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

Day-to-Day Responsibilities

• Multimodal perturbation datasets are becoming increasingly large and available, and understanding which data contribute most to model performance is an increasingly important question.
• The Regev lab has generated a large multimodal perturbation dataset.
• The contractor will train and evaluate models on this data to characterise how different portions of the dataset contribute to model learning, and will evaluate model performance and model outputs against

Company Benefits & Culture

• Flexible work environment with a balance of on-site and remote work
• Opportunities for professional development and growth
• Supportive and collaborative team culture

For immediate consideration please click APPLY to begin the screening process with Alex.

You can share your resumes on satyam.singh@artech.com