Senior/ Computational Biologist/ ML Scientist

September 24, 2025

Data Analysis & Modeling: Design and execute rigorous statistical and computational analyses by integrating and analyzing diverse omics datasets, including genomics, transcriptomics, proteomics, and single-cell sequencing data. You will also be responsible for developing, training, and deploying novel AI/machine learning models to predict biological outcomes and accelerate drug discovery.

High-Performance Computing: Efficiently manage and scale computational workloads by leveraging cloud computing platforms and utilizing NVIDIA GPU-accelerated computing for data processing and model training.

Scientific Communication: Prepare scientific manuscripts, contribute to intellectual property filings, and present your findings at leading scientific conferences and internal meetings.

Documentation & Workflow: Meticulously document all computational workflows, experimental results, and analyses in an Electronic Lab Notebook (ELN) such as Benchling and maintain rigorous version control and facilitate collaborative code development using platforms like GitHub.

Mentorship: Guide and mentor junior team members, sharing your knowledge of best practices in computational analysis and scientific inquiry.

Who We’re Looking For
We are looking for a creative and detail-oriented scientist with a proven track record. You should have a Ph.D. in Computational Biology, Bioinformatics, or a related field, along with a minimum of 3 years of experience in the biopharmaceutical industry.

You are a master of your craft with:

Deep Expertise: A strong background in the analysis of high-throughput biological data, including genomics, transcriptomics, proteomics, and single-cell sequencing.

Modern Skill Set: Experience applying machine learning and AI, with a solid theoretical grasp of algorithms like gradient descent, Bayesian optimization, and other heuristic search methods. Proficiency with large language models (LLMs) is a significant plus.

Accelerated Computing: Hands-on experience with NVIDIA GPU-accelerated computing is highly valued. Familiarity with CUDA, cuDNN, or NVIDIA Clara for bioinformatics applications will set you apart.

Programming Prowess: Exceptional fluency in Python and experience with workflow management systems, with a strong emphasis on version control using Git/GitHub.

Cloud Computing: Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud).

Intellectual Curiosity: A creative, out-of-the-box thinker who is eager to learn new methods and tackle complex problems head-on.

Collaborative Spirit: Excellent communication and time-management skills, with the ability to manage multiple projects and work effectively within cross-functional teams.

Benefits:

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

Kernal provides a diverse work environment and is committed to equal employment opportunities for all its employees and qualified applicants. We do not discriminate in employment practices for the race, color, national origin, age, gender, sexual orientation, marital or veteran status, religion, disability, or any other legally protected status. Kernal Bio will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.