Bioinformatics Co-Op

**Role Overview:** This position is for a Bioinformatics Co-op working closely with scientists to analyze large-scale biological datasets supporting drug discovery programs. **Key Responsibilities:** Analyze single-nucleus RNA-seq and cell datasets to characterize disease-relevant cell populations, support genomics analyses for target validation, develop and run computational pipelines using tools like Nextflow or Snakemake, apply statistical and machine learning methods to identify data patterns, integrate data from various databases, create visualizations to communicate findings, and document methods for reproducibility. **Qualifications & Skills:** Currently enrolled in an undergraduate or Master’s program in bioinformatics, computational biology, or related fields; proficient in Python or R; familiar with genomics data types and workflow tools; strong problem-solving, communication skills, and ability to work independently and collaboratively. **Additional Information:** Offers hands-on experience, ownership of meaningful projects, and potential future opportunities within the ecosystem. Compensation ranges from $25-$35/hour, with a focus on real contribution and professional growth. Equal opportunity employer.