HudsonAlpha - Computational Biologist I - Cochran Lab
About The Position
The Computational Biologist I combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. This position supports collaborative research efforts with experimental scientists, software engineers, and other bioinformaticians to implement computational workflows and data analysis strategies. The Computational Biologist I uses lab-generated or publicly available data to answer specific biological questions. By applying computational methods, the Computational Biologist I is integral to processing and analyzing the large amount of data generated in or accessed by a genomics laboratory. The ideal candidate will be comfortable constructing bioinformatics pipelines that interface with internal and external resources using modern programming languages commonly employed in bioinformatics (Python, R, and bash), both locally and in high-performance computing (HPC) and cloud environments.
Requirements
- Bachelor's degree or master's degree in computational biology, bioinformatics, biostatistics, computer science, statistics, or related quantitative field
- 0 to 3 years of experience in bioinformatics, computational biology, or related field
- Experience may include postgraduate research, internships, industry positions, or significant coursework projects
- Proficiency in Python and/or R and bash scripting
- Experience with version control systems (Git/GitHub)
- Strong understanding of bioinformatics principles and proficiency in relevant computational tools
- Fluency with Unix/Linux command-line environments
- Ability to function in a high-performance computing (HPC) cluster environment
- Strong understanding of statistics and quantitative data analysis
- Proficient with Google Workspace and collaborative tools (Zoom, Slack, etc.)
Nice To Haves
- Subject area familiarity and/or interest in genetics, genomics, neuroscience, or neurodegenerative diseases is desirable.
Responsibilities
- Perform data preprocessing, quality control, and analysis using established computational workflows
- Understand the biological science behind the laboratory projects
- Analyze genomic and transcriptomic data from neurodegenerative disease studies
- Process high-throughput sequencing data (RNA-seq, DNA-seq, ATAC-seq, single-cell sequencing)
- Manage access, management, and processing for large biological datasets
- Assist in maintaining bioinformatics tools and pipelines to support research initiatives
- Construct and optimize bioinformatics workflows for genomic data analysis
- Collaborate with senior team members to troubleshoot data-related challenges and optimize workflows
- Implement version control practices (Git/GitHub) for collaborative code development
- Work with workflow management systems (Snakemake, Nextflow, WDL) as appropriate
- Collaborate with the research team to plan and execute computational applications
- Communicate technical findings clearly across teams and document methods for reproducibility
- Work with experimental biologists, clinicians, and other computational researchers
- Present analyses at lab meetings and research forums
- Contribute to peer-reviewed research papers
Benefits
- Comprehensive health, dental, and vision insurance
- Retirement plan with employer contribution
- Generous paid time off
- Professional development support
- Access to cutting-edge computational resources and technologies
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
