AI/ML Scientist

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    "description": "<p><br><br></p>\n<p><span style=\"font-weight: bold\">AI/ML Scientist</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Company Overview:</span></p>\n<p>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.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Role Summary:</span></p>\n<p>EpiVax is seeking an <span style=\"font-weight: bold\">AI/ML Scientist</span> to expand its technology team. The AI/ML Scientist will focus on analyzing large-scale biological datasets and on developing new models to advance our understanding of the adaptive immune system, as it relates to therapeutic development. The ideal candidate combines strong machine learning expertise with a background in immunology. This position reports directly to the CTO and has close working relationships with the technology, bioinformatics, and programming teams.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Key Responsibilities:</span></p>\n<ul>\n<li>Play a leading role in sustaining EpiVax’s competitiveness in the field of Computational Immunology</li>\n<li>Design and implement cutting-edge machine learning and deep learning models to analyze large-scale immunological datasets</li>\n<li>Design and implement generative AI frameworks to advance and streamline the analysis of protein and peptide sequences</li>\n<li>Collaborate with the IT and programming teams to integrate new models into EpiVax’s analysis platform</li>\n<li>Collaborate with the scientific team to translate findings into publications or presentations</li>\n<li>Maintain and improve professional knowledge of technological advancements in immunogenicity assessment, data manipulation, statistical analyses, machine learning, and AI</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">Qualifications:</span></p>\n<ul>\n<li>M.S. or Ph.D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent</li>\n<li>2+ years of industry experience</li>\n<li>Demonstrated success applying AI/ML to biological datasets, ideally in immunology related contexts</li>\n<li>Experience with cloud computing and high-performance data infrastructure</li>\n</ul>\n<p> </p>\n<p><br><br></p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">Technical Skills:</span></p>\n<ul>\n<li>Technical background in AI/ML techniques, including generative AI and Large Language Models</li>\n<li>Strong understanding of statistical modeling, feature engineering, and model interpretability</li>\n<li>Intermediate understanding of immunology, biology, or biochemistry</li>\n<li>Proficiency in Python and R, and deep learning frameworks such as PyTorch or TensorFlow.</li>\n<li>Advanced expertise in T cell biology is preferred</li>\n<li>Proficiency with PL/SQL and Oracle databases is preferred</li>\n<li>Experience with structural biology modeling techniques is a plus</li>\n<li>Strong scientific curiosity and ability to translate biological questions into computational strategies</li>\n<li>Excellent communication skills to convey complex analyses across interdisciplinary teams</li>\n</ul>\n<p> </p>\n<p><em>EpiVax is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status</em></p>\n<p> </p>\n<p> </p>",
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