Internship – Molecular AI
Novo Nordisk
internship
Posted on:
Location Type: Office
Location: Lexington • Massachusetts • United States
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Job Level
About the role
- Work on the development and implementation of a novel in house peptide and mini binder design platform
- Integrate enhanced sampling such as Monte Carlo tree search
- Integrate various machine learning property predictors into the pipeline
- Benchmark Novo Bind on diverse systems and improve the pipeline scope
- Implement reinforcement learning to bias the generation of designs
- Learn about state of the art structure predictors and metric, computational sequence-based binder design, reinforcement learning, drug design with computational chemistry
Requirements
- Current student enrolled at an accredited college or university pursuing at least a Doctorate degree
- In progress doctorate degree in Computer Science, Machine Learning, Artificial Intelligence, Computational Chemistry, or a related discipline preferred
- Strong academic record with a preferred cumulative GPA of 3.0 or higher
- Conscientious self-starter with good organizational skills, project management skills and attention to detail
- Ability to balance multiple projects and priorities, must be able to multi-task
- Strong interpersonal communication and ability to collaborate with teams
- Demonstrated personal initiative, self-motivation, flexibility, adaptability and willingness to learn
- Proficient in Microsoft Office Tools including Word, Excel, PowerPoint, etc.
Benefits
- Instructor led trainings
- Leadership engagement series
- Guided mentorship program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningreinforcement learningMonte Carlo tree searchcomputational chemistrydrug designproperty predictorspipeline developmentbenchmarkingdesign generationsequence-based binder design
Soft Skills
organizational skillsproject managementattention to detailmulti-taskinginterpersonal communicationcollaborationself-motivationflexibilityadaptabilityinitiative