- Company Name
- Sanofi
- Job Title
- Summer or Fall 2026 Co-op_Intern - RNA Machine Learning - Vaccine
- Job Description
-
Job Title: Summer or Fall 2026 Co‑op Intern – RNA Machine Learning – Vaccine
Role Summary:
Engage in a 6‑month data‑driven project focused on developing and deploying machine‑learning algorithms to screen, optimize, and evaluate RNA molecules for mRNA‑based vaccines and therapeutics. Work within the Data and Computational Science team of an mRNA Center of Excellence to integrate chemical, structural, and biological data, deliver actionable insights, and support end‑to‑end vaccine development.
Expectations:
- Enrolled in a Master’s or Ph.D. program (Bioinformatics, Computational Biology, Computer Science, or related quantitative field).
- Program completion anticipated by Spring 2028.
- Full‑time commitment (40 hrs/week) for six months.
- Permanent U.S. work authorization; no visa sponsorship required.
Key Responsibilities:
- Collaborate with domain experts to define scientific strategy and technical solutions.
- Design, develop, and validate in‑silico ML pipelines for RNA characterization, screening, and optimization.
- Integrate heterogeneous pre‑clinical and clinical datasets (chemical, structural, biological) for analytics and visualization.
- Deploy scalable models, assess performance, and refine for varying granularity.
- Apply advanced ML techniques (deep learning, neural networks, reinforcement learning, graph models, generative models).
- Maintain clean, versioned, and test‑driven codebases; document model lineage.
- Monitor emerging technologies, propose innovations, and incorporate best practices.
- Communicate findings to cross‑functional teams; translate complex results into actionable insights.
Required Skills:
- Programming: Python and R; experience in scientific computing.
- ML & Statistical Modeling: design, training, and evaluation of deep learning, neural, reinforcement, graph, and generative models.
- Data Integration: merging chemical, structural, and biological data streams.
- Software Engineering: version control (Git), unit testing, documentation.
- Analytical Thinking: ability to translate theory into practical, high‑performance models.
- Communication: clear writing and presentation of technical concepts.
Required Education & Certifications:
- Current Master’s or Ph.D. candidate in Bioinformatics, Computational Biology, Computer Science, or a related quantitative discipline.
- Anticipated graduate completion by Spring 2028.
- No specific certifications required; strong academic record implied.