Note: The job is a remote job and is open to candidates in USA. AbbVie is a company focused on discovering and delivering innovative medicines and solutions for serious health issues. The Quantitative Insights Lab Intern will assist in using bioinformatic data analysis to generate insights for AbbVie’s therapeutic areas by analyzing large datasets and participating in the development of a knowledge graph framework.
Responsibilities
- Ingest existing internal and external compilations of perturbation data into a common knowledge graph
- Integrate with other data sources in AbbVie knowledge graphs such as genetic associations and pathways to draw connections between genes, gene perturbations, and disease mechanisms
- Assess predictive performance of functional screens to identify outcomes of interest such as known drug mechanisms
Skills
- Currently enrolled in university, pursuing PhD in Computational Biology, Bioinformatics, Statistical Genetics or related field
- Must be enrolled in university for at least one semester following the internship
- Proficient with statistical and programming languages (R, Python) and Linux environment
- Experience writing custom functions in R or python to statistically interrogate and visualize high dimensional biological datasets
- Demonstrated ability to execute custom computational analysis plans leveraging novel algorithms and relevant databases
- Evidence of independent research capability including hypothesis development, experimental design and execution, data interpretation, and problem solving
- Very good communication skills demonstrated in inter-disciplinary teams
- A self-motivated individual with a strong work ethic
- Expected graduation date between December 2026 – June 2027
- Experience processing and analyzing imaging data, single cell RNA-seq, CRISPR screens or other similar NGS/genomic data
- Experience with knowledge graph tools such as neo4j
- Experience with database management using SQL or other tools
- Experience with AWS cloud computing
Benefits
- Competitive pay
- Relocation support for eligible students
- Select wellness benefits and paid holiday / sick time
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