Data Sciences and Quantitative Biology Intern, Master’s and PhD Students

We are looking for Master’s and PhD level students majoring in Computational Biology, Bioinformatics, Computer Science, Machine Learning/Deep Learning or a related discipline for a 10-week internship role in Waltham, MA (preferred) OR Gaithersburg, MD from June 1st to August 7th. Position Duties: Data integration and curation: Aggregate data, QC, and harmonize internal and external chemical proteomics datasets (e.g. covalent datasets, molecular glues, chemoproteomics hits, compound/warhead annotations) into the in-house database. Insights and predictive modeling: Perform analyses and prototype models to predict drug–target affinity and generate prioritization scores for nominated targets. Visualization and reporting: Create dashboards/figures to communicate findings and deliver concise summaries to stakeholders. Position Requirements: Master’s and PhD level students majoring in Computational Biology, Bioinformatics, Computer Science, Machine Learning/Deep Learning or a related discipline. Candidates must have an expected graduation date after August 2026. Proficiency in programming in R and/or Python for data analysis, with familiarity in machine learning and deep learning methods and framework. Comfortability working with SQL relational databases (for example, PostgreSQL, MySQL, or SQLite) to query and integrate data is required. A basic understanding of molecular biology concepts relevant to chemical biology preferred. Familiarity with mass spectrometry–based proteomics and drug-discovery is a plus. Ability to report onsite to Waltham, MA (preferred) OR Gaithersburg, MD 3-5 days per week. This role will not provide relocation assistance. US Work Authorization is required at time of application. This role will not be providing OPT support. Compensation: $41.50 - $48 hourly. Date Posted 19-Dec-2025 Closing Date 18-Jan-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.