Senior Computational Biologist/ML Scientist

Responsibilities

• Design and execute rigorous statistical and computational analyses by integrating diverse omics datasets (genomics, transcriptomics, proteomics, single-cell sequencing)
• Develop, train, and deploy novel AI/machine learning models to predict biological outcomes
• Manage and scale computational workloads using cloud platforms and NVIDIA GPU-accelerated computing
• Prepare scientific manuscripts, contribute to IP filings, and present findings at conferences
• Document computational workflows and experimental results in ELN (e.g., Benchling)
• Mentor junior team members in computational analysis and scientific inquiry

Requirements

• Ph.D. in Computational Biology, Bioinformatics, or a related field
• Minimum of 3 years of experience in the biopharmaceutical industry
• Deep expertise in high-throughput biological data analysis
• Experience applying machine learning and AI algorithms (gradient descent, Bayesian optimization)
• Exceptional fluency in Python
• Experience with workflow management systems and Git/GitHub
• Hands-on experience with major cloud platforms (AWS, Azure, or Google Cloud)

Preferred Qualifications

• Proficiency with Large Language Models (LLMs)
• Experience with NVIDIA GPU-accelerated computing (CUDA, cuDNN, or NVIDIA Clara)

Benefits

• Competitive 401(k)
• Highly competitive healthcare coverage (PPO/HMO)
• Free parking, monthly subway pass, or subsidized commuter rail pass
• Free Bluebike Membership
• Gym Membership Support
• Flexible Spending Account
• Paid parental, family caregiver, and medical leave
• Paid life insurance coverage
• On-site cafeteria
• Competitive vacation and sick days

About the Company

Kernal Bio engineers human cells inside the body using selective mRNA-LNP technology to treat cancer and autoimmune diseases. Based in Cambridge, MA, the company leverages AI to deliver precision treatments within the body.