
2026 Computational Data Scientist Intern (PhD)
- North Chicago, IL
- Training
- Full-time
- Survey and compare major variant annotation tools (e.g., VEP, SnpEff, ANNOVAR).
- Compare the gene and transcript lists of humans in RefSeq and Ensembl/GENCODE.
- Explore and integrate multi-source annotations (e.g., ClinVar, HGMD, splice-disrupting variants in SpliceAI, functional scores in FAVOR, AlphaMissense & AlphaGenome, and regulatory features).
- Annotate the variants in a WGS project using selected tools and support/conduct association analysis.
- Currently enrolled in university, pursuing a PhD in Genome sciences, Bioinformatics, Biostatistics, Human genetics, Computer Science or other related fields
- Must be enrolled in university for at least one semester following the internship
- Expected graduation date between December 2026 – July 2027
- Proficient in programming languages (R or Python)
- Strong written and verbal communication skills
- Self-directed and able to work with minimal supervision
- Have experience performing variant annotation and prioritizing variants based on their annotations
- Strong quantitative and analytical skills
- Energetic and eager to tackle new projects and generate new ideas
- Competitive pay
- Relocation support for eligible students
- Select wellness benefits and paid holiday / sick time