Senior Data Scientist

Acrobat Genomics • San Francisco, CA

7d

About The Position

Acrobat Genomics is combining its expertise in high-throughput screening, computational biology, and gene editing to develop tools for precise genetic control. We're expanding our computational capabilities to address multiple projects spanning therapeutic development and biosecurity applications.

Requirements

• MS or PhD (or equivalent experience) in Computational Biology, Computer Science, Bioinformatics, or related field
• Proven track record in developing computational methods for bioengineering
• Experience with machine learning approaches for biological sequence and structure analysis
• Strong programming skills in Python, with experience using frameworks like PyTorch, TensorFlow
• Demonstrated ability to translate complex biological problems into computational solutions
• Background in protein structure prediction, molecular modeling, or related fields
• Experience leading technical teams and driving collaborative projects
• Excellent communication skills and ability to work across computational and experimental domains

Nice To Haves

• Knowledge of gene editing technologies and control mechanisms
• Experience with protein-protein interaction modeling
• Track record of publications in relevant computational biology or machine learning venues
• Prior experience in biotechnology startup environment
• Experience with high-performance computing and large-scale data analysis using cloud service providers

Responsibilities

• Create novel approaches for biological design, optimization, and functional prediction
• Collaborate with wet lab scientists to validate computational predictions
• Oversee data infrastructure, pipelines, and computational workflows
• Contribute to strategic planning and technology roadmap development
• Support business development through technical contributions to funding proposals and partnerships

What This Job Offers

• Job Type: Full-time
• Career Level: Senior