Undergraduate Research Assistant Molecular Biosciences
Overview
The role will own computational analysis of bacterial genomes metagenomes and microbiomes at a scale of multiple projects. This position differs by focusing on hands-on bioinformatics tasks within a molecular biosciences department.
What You'll Do11
- 1Process and analyze large-scale publicly available genomic resources
- 2Build scalable pipelines using Python and Spark
- 3Design and implement statistical models for microbial community data
- 4Ship reproducible analysis scripts to research collaborators
- 5Scale data ingestion workflows across diverse datasets
- 6Debug complex bioinformatics pipelines
- 7Drive integration of cloud services like AWS
- 8Own containerization strategies with Docker
- 9Lead documentation for computational workflows
- 10Collaborate with cross-functional teams to define analysis goals
- 11Maintain version control using Git
Requirements10
- 15+ years building ETL pipelines with Spark and Airflow
- 2Strong understanding of bioinformatics and computational biology
- 3Proficiency in Python for data manipulation and analysis
- 4Experience with cloud platforms such as AWS
- 5Familiarity with Linux command line tools
- 6Ability to parse and query relational databases
- 7Knowledge of Unix-based systems
- 8Experience with containerization technologies
- 9Understanding of statistical modeling techniques
- 10Commitment to academic integrity
Salary Insight
Salary not disclosed in listing
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