Computational Immunologist

EpiVax • Providence, RI

12d • Hybrid

About The Position

EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell epitope identification and characterization, we employ a wide range of validated in silico and in vitro techniques. This comprehensive approach provides accurate and thorough insights into candidate immunogenicity, ensuring the effectiveness and safety of our clients’ products.

EpiVax is seeking a Computational Immunologist to expand its technology team. The Computational Scientist will focus on developing new models and tools to support the analysis of therapeutic sequences. The ideal candidate combines backgrounds in both machine learning and immunology. This position reports directly to the CTO and has close working relationships with the technology, bioinformatics, and programming teams.

Requirements

• M.S. or Ph.D. in Computational Biology, Data Science, Computer Science, or equivalent.
• 0-2 years of professional experience
• Demonstrated success applying AI/ML to biological datasets, ideally in immunology related contexts
• Strong scientific curiosity and ability to translate biological questions into computational strategies
• Excellent communication skills to convey complex analyses across interdisciplinary teams
• Technical background in AI/ML techniques
• Strong understanding of statistical modeling, feature engineering, and model interpretability
• Understanding of immunology, biology, or biochemistry
• Proficiency in Python and R, and deep learning frameworks such as PyTorch or TensorFlow

Nice To Haves

• Experience with cloud computing and high-performance data infrastructure is a plus
• Proficiency with PL/SQL and Oracle databases is preferred
• Experience with structural biology modeling techniques is a plus

Responsibilities

• Play a leading role in sustaining EpiVax’s competitiveness in the field of Computational Immunology
• Design and implement cutting-edge machine learning and deep learning models to analyze large-scale immunological datasets
• Design and implement new tools to advance the analysis and design of therapeutic molecules
• Collaborate with the IT and programming teams to integrate new models and tools into EpiVax’s analysis platform
• Collaborate with the scientific team to translate findings into publications or presentations
• Maintain and improve professional knowledge of technological advancements in immunogenicity assessment, data manipulation, statistical analyses, machine learning, and AI

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees