Computational Biology Intern, PhD Students
About The Position
We are looking for doctoral level students majoring in Computational Biology, Bioinformatics, Systems Biology, Biomedical Informatics (with a specialization in AI, ML, or genomics) or a related discipline for a 10-week internship role in Waltham, MA from June 1st to August 7th. Position Duties: Design and Build the Agentic Framework: Lead the design, rapid prototyping, and testing of a multi-agent AI system using Python and modern LLM/agentic frameworks (e.g., LangChain, AutoGen, Google ADK or similar). Infuse and Validate Biological Domain Knowledge: Act as the "subject matter expert" to guide the AI. You will apply your deep knowledge of oncology/immunology to curate training data, design prompts for hypothesis generation, and critically evaluate the AI's outputs. Integrate and Demonstrate Pipelines: Integrate the separate agents into a single, end-to-end proof-of-concept pipeline constructing.
Requirements
- Doctoral level students majoring in Computational Biology, Bioinformatics, Systems Biology, Biomedical Informatics (with a specialization in AI, ML, or genomics) or a related discipline. Candidates must have an expected graduation date after August 2026.
- High-Dimensional Genomics Data Handling: Proven experience in cleaning, preprocessing, and analyzing large biological datasets, such as RNA-seq, scRNA-seq, proteomics, or genomic data, is required.
- Coding Proficiency: Coding skills in R and Python, including libraries for scientific computing (NumPy, Pandas), are required.
- Agentic Frameworks & LLMs: Direct, hands-on experience with orchestration frameworks like LangChain, AutoGen, CrewAI, or similar tools used for building multi-agent systems and leveraging Large Language Models (LLMs) is required.
- Ability to report onsite to Waltham, MA 3-5 days per week.
- US Work Authorization is required at time of application.
- This role will not be providing OPT support.
Nice To Haves
- Oncology/Immunology: Specific experience or coursework focused on molecular pathways, disease mechanisms, and the interpretation of gene expression data are a plus.
- Deep Learning/ML Expertise: Experience with deep learning frameworks like PyTorch or TensorFlow is a plus.
Responsibilities
- Design and Build the Agentic Framework: Lead the design, rapid prototyping, and testing of a multi-agent AI system using Python and modern LLM/agentic frameworks (e.g., LangChain, AutoGen, Google ADK or similar).
- Infuse and Validate Biological Domain Knowledge: Act as the "subject matter expert" to guide the AI. You will apply your deep knowledge of oncology/immunology to curate training data, design prompts for hypothesis generation, and critically evaluate the AI's outputs.
- Integrate and Demonstrate Pipelines: Integrate the separate agents into a single, end-to-end proof-of-concept pipeline constructing.
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
