Kernalbio
Senior/ Computational Biologist/ ML Scientist
Boston, MA · Senior
Sponsorship not specifiedDetected 98 days ago
PythonAlgorithmsGitAWSGCPAzureCloud PlatformsMachine LearningData AnalysisData ScienceLLMsIntellectual PropertyFDA RegulatoryBioinformaticsResearchLab ResearchAnimal StudiesAnimal ModelsCommunicationMentoring
About the role
- Senior Computational Biologist/ ML Scientist
- We are seeking a Senior Computational Biologist to join our dynamic R&D team and spearhead our drug discovery efforts.
- This is a chance to move beyond routine data analysis and creatively apply advanced computational methods to solve complex biological challenges.
Responsibilities
- Design and execute rigorous statistical and computational analyses by integrating and analyzing diverse omics datasets, including genomics, transcriptomics, proteomics, and single-cell sequencing data.
- 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.
- You'll collaborate closely with diverse cross-functional teams, including our wet lab scientists, synthetic biology, and formulation teams, acting as a bridge between data and discovery.
- Based in Cambridge, MA, and backed by Hummingbird Ventures, Amgen Ventures, NVIDIA, and NASA, Kernal Bio is revolutionizing mRNA therapeutics by leveraging AI to deliver precision treatments within the body.
- 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.
Requirements
- Guide and mentor junior team members, sharing your knowledge of best practices in computational analysis and scientific inquiry.
- 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.
- Hands-on experience with NVIDIA GPU-accelerated computing is highly valued.
- Exceptional fluency in Python and experience with workflow management systems, with a strong emphasis on version control using Git/GitHub.
- Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud).
- Mentorship: Guide and mentor junior team members, sharing your knowledge of best practices in computational analysis and scientific inquiry.
Nice to have
- Proficiency with large language models (LLMs) is a significant plus.
Compensation
- Competitive vacation and sick days per year
Benefits
- Highly competitive healthcare coverage (PPO/HMO)
- Free parking, a monthly subway pass, or a subsidized commuter rail pass
- Gym Membership Support
- Flexible Spending Account
- Paid parental leave, family caregiver leave, and medical leave
- Paid life insurance coverage
- Competitive vacation and sick days per year
- 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.
- You will also be responsible for developing, training, and deploying novel AI/machine learning models to predict biological outcomes and accelerate drug discovery.
Company info
- We are looking for a creative and detail-oriented scientist with a proven track record.
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This listing is sourced directly from Kernalbio's careers page and normalized into a canonical job model.