What are the responsibilities and job description for the Computational Biology Co-Op (Northeastern University Students) position at Chroma Medicine?
ABOUT THE ROLE
We are looking for a remarkable Computational Biology Co-Op to join us!
Growing your career as a Co-Op at Chroma Medicine is an incredible opportunity to work in a fast-paced biotech start-up focused on cutting-edge science. At Chroma, you can expect to be placed on a real project under the guidance of experienced professionals and subject matter experts who are invested in your career and academic growth. We also ensure you have plenty of opportunities to build your network, learn more about our organization and the biotech industry, and join us for several fun events.
RESPONSIBILITIES
- Integrate and interpret external and internal datasets in collaboration with experimental and computational teams, to help provide insights into biological questions.
- Contribute to the development of computational tools to analyze data types like DNA methylation, RNA-seq, ChIP-seq, ATAC-seq, Hi-C, screening data, and others.
- Document computational pipelines and analyses.
- Present analysis and results to Chroma Data Sciences and R&D teams.
SKILLS & COMPETENCIES:
- Programming in Python, R, or similar computational languages.
- Familiarity with computational biology tools and analysis software.
- Excellent analytical, problem solving and critical thinking skills, including an ability to combine attention to detail with a big picture perspective.
- Collaborative and team-oriented mindset, adaptable, and keen on working in the fast-paced biotech startup space to drive cutting-edge science.
QUALIFICATIONS:
- Candidates must be currently enrolled as an undergraduate or graduate student majoring in Bioinformatics, Data Science, Biology, Computer Science, Biochemistry, or related program. 6 months in relevant co-op or internship experience a plus.
- Prior experience with programmatic analysis and visualization of large datasets.
- Experience reading and interpreting primary scientific literature.
- Candidates must be eligible to work in the United States.
- Proven success in relevant coursework.