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Computational Biology Intern (Cambridge, MA)
Role and Responsibilities:
- Develop and apply AI/ML models for analyzing genomic, transcriptomic, and epigenomic data to assess stem cell stability and drug product integrity.
- Manage and curate large datasets, ensuring data integrity and accessibility.
- Interpret results and provide actionable insights to support ongoing research projects.
- Develop, maintain, and optimize bioinformatics pipelines for data processing and analysis.
- Ensure pipelines are scalable, efficient, and reproducible.
- Work closely with biologists, clinicians, and other researchers to understand their bioinformatics needs and provide appropriate solutions.
- Communicate findings through written reports and presentations.
- Participate in team meetings and contribute to the planning and execution of research projects.
- Assist on AWS based S3 to S3 and SFTP transfers of big data.
- Must be enrolled in either a Master’s or PhD degree program with a focus in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field.
- Strong experience in machine learning, deep learning (TensorFlow or PyTorch or Scikit-learn), and computational biology is required.
- Familiarity with AWS and cloud-based bioinformatics solutions is required.
- Proficiency in programming languages such as Python, R, and Bash is preferred.
- Prior research experience in stem cell (ideally iPSC) genomics or computational drug discovery is preferred
- Experience in developing AI-driven variant classification models and knowledge of graph-based or transformer models for genomic data analysis is also preferred.
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