Job Summary
The Research Assistant will create a high-throughput framework for evaluating language models on RNA secondary-structure prediction. The role combines computational research and data analysis to explore how structural information is represented and encoded by these models.
Responsibilities
- Develop a scalable screening framework for RNA secondary-structure prediction using language models.
- Curate and prepare research data for model development and evaluation.
- Fine-tune language models for the research task.
- Conduct interpretability analyses to examine how models encode information related to RNA structure.
Qualifications
- College-level education or equivalent experience in bioinformatics, computer science, computational biology, data science, or a related field.
- At least one year of relevant laboratory experience.
Harvard University provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
