Kernal Biologics · 3 months ago
Senior/ Computational Biologist/ ML Scientist
Boston, MA
Full-time
Onsite
Mid, Senior Level
3+ years expKernal Bio is a company dedicated to engineering human cells using mRNA-LNP technology to treat cancer and autoimmune diseases. They are seeking a Senior Computational Biologist/ ML Scientist to join their R&D team, where the candidate will apply advanced computational methods and machine learning techniques to drive drug discovery efforts and collaborate with cross-functional teams.
BiotechnologyPharmaceuticalTherapeutics
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
Develop, train, and deploy novel AI/machine learning models to predict biological outcomes and accelerate drug discovery
Efficiently manage and scale computational workloads by leveraging cloud computing platforms and utilizing NVIDIA GPU-accelerated computing for data processing and model training
Prepare scientific manuscripts, contribute to intellectual property filings, and present findings at leading scientific conferences and internal meetings
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
Guide and mentor junior team members, sharing knowledge of best practices in computational analysis and scientific inquiry
Qualification
Required
Ph.D. in Computational Biology, Bioinformatics, or a related field
Minimum of 3 years of experience in the biopharmaceutical industry
Strong background in the analysis of high-throughput biological data, including genomics, transcriptomics, proteomics, and single-cell sequencing
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)
Hands-on experience with NVIDIA GPU-accelerated computing
Familiarity with CUDA, cuDNN, or NVIDIA Clara for bioinformatics applications
Exceptional fluency in Python
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)
Excellent communication and time-management skills
Ability to manage multiple projects and work effectively within cross-functional teams
Preferred
Experience with cloud computing platforms
Creative, out-of-the-box thinker who is eager to learn new methods and tackle complex problems head-on
Ability to guide and mentor junior team members, sharing knowledge of best practices in computational analysis and scientific inquiry
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
Company
Kernal Biologics
Kernalbio creates mRNA therapies that instruct specific cells on how to make their own medicine.
11-50 employees
H1B Sponsorship
Kernal Biologics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2021 (1)
Funding
Current Stage
Early StageTotal Funding
$73MKey Investors
Advanced Research Projects Agency for HealthHummingbird Ventures
2025-10-07Grant· $48M
2022-07-07Series A· $25M
2020-10-21Seed
Leadership Team
B
Burak Yilmaz
Founder & President
Recent News
Google Patent
2025-02-08
Company data provided by crunchbase