Internships
Applications for Summer 2025 internships are due by February 15, 2025.
Bioinformatics & Computational
Biology Internships
Join us for an exciting summer opportunity with the Moore Lab at UMass Chan Medical School! We're seeking motivated students interested in bioinformatics and computational biology to contribute to cutting-edge research in gene regulation and genomics. As part of our team, you’ll analyze large-scale datasets, develop computational tools, and explore the complex relationships underlying transcriptional and epigenetic regulation. This internship offers hands-on experience in a collaborative research environment, where you’ll work alongside experts in genomics and computational biology, gaining valuable skills and insights to launch your career in the biomedical sciences.
Ideal candidates will meet the following criteria:
Currently enrolled in a bachelor’s degree program in bioinformatics, computational biology, biology, data science, mathematics, computer science, or a related field.
Proficiency in at least one programming language commonly used in bioinformatics, such as Python, R, or Bash.
Familiarity with biological concepts, especially related to genomics and gene regulation.
Experience working with biological datasets, such as sequencing data (e.g., RNA-seq, ATAC-seq) or genome annotations, is preferred but not required.
Strong analytical skills and a keen interest in solving complex biological problems through computational methods.
Ability to work both independently and collaboratively in a team-oriented research environment.
Excellent communication skills and the ability to clearly present computational analyses and biological insights.
Availability to work full-time (40 hours per week) during the summer internship period, requiring at least 3 days of on-site work per week.
Interested candidates should apply here by February 15. All submissions received by this date will receive priority consideration. Applications submitted after this deadline may still be reviewed on a rolling basis, should the position remain open.
Software Engineering
Internships
Join us for an exciting summer opportunity with the Moore Lab at UMass Chan Medical School! We're seeking passionate software engineering interns to contribute to our research in computational genomics. As part of our team, you'll have the opportunity to develop tools and resources that will improve our understanding of gene regulation and help the genomics community study disease. This internship offers hands-on experience in a dynamic research environment, where you'll work alongside experts in the field and gain invaluable skills that will shape your future career in software engineering and computational biology.
Ideal candidates will meet the following criteria:
Currently enrolled in a bachelor's degree program in computer science, software engineering, bioinformatics, or a related field.
Proficiency in programming languages commonly used in software development such as Python, Java, C++, or similar.
Familiarity with software development tools and technologies such as version control systems (e.g., Git), IDEs, and testing frameworks.
Strong problem-solving skills and ability to work both independently and collaboratively in a team environment.
An interest in applying software engineering skills to biological research problems. Specific knowledge of gene regulation is a plus but not required.
Excellent communication skills and the ability to effectively communicate technical concepts to both technical and non-technical audiences.
Prior experience with software development projects, either through coursework, personal projects, or internships, is preferred but not mandatory.
Availability to work full-time (40 hours per week) during the summer internship period, requiring at least 3 days of on-site work per week.
Interested candidates should apply here by February 15. All submissions received by this date will receive priority consideration. Applications submitted after this deadline may still be reviewed on a rolling basis, should the position remain open.