HudsonAlpha - Computational Biologist I - Cochran Lab

Position Summary 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, implementing computational workflows and data analysis strategies. Data Analysis & Research Perform data preprocessing, quality control, and analysis using established computational workflows. Understand the biological science behind 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, storage, and processing for large biological datasets. Pipeline Development & Maintenance 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. Collaboration & Communication 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. Education Bachelor's degree or master's degree in computational biology, bioinformatics, biostatistics, computer science, statistics, or a related quantitative field. Master's degree preferred. Experience 0 to 3 years of experience in bioinformatics, computational biology, or a related field. Experience may include postgraduate research, internships, industry positions, or significant coursework projects. Required Technical Skills Proficiency in Python and/or R and bash scripting. Experience with version control systems (Git/GitHub). Strong understanding of bioinformatics principles and proficiency with 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.). Compensation & Benefits Salary Range: $66,000 – $75,000 annually, commensurate with education and experience. Benefits Include 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. Physical Demands / Environmental Factors / Mental Functions Must be able to remain in a stationary position (sit or stand) for prolonged periods (50% of the time). Frequently move between work areas and transport materials up to 30 pounds. Vision abilities required: close vision, distance vision, and depth perception. Frequent operation of common office equipment (computers, scanners, etc.) and laboratory equipment. Exposure to chemical, mechanical, electrical hazards, and hazardous physical substances and fumes, and airborne particles. Noise level in the work environment is usually moderate. Continuous mental and visual attention, requiring sustained attention and observation. Excellent fine motor skills for accurate pipetting. Basic and extensive computer and documentation skills with attention to detail. Strong communication skills in English. Ability to adapt to change efficiently and lead independent research. Ability to work productively within diverse teams and with external investigators. Ability to prioritize issues, use sound judgment, and manage multiple projects. Strong logical thinking and deduction skills. Positive, flexible, and professional attitude. It is the policy of HudsonAlpha Institute for Biotechnology, in accordance with all applicable laws, to recruit, hire, train, and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, disability, genetic information, sexual orientation, veteran status, or any other basis prohibited by applicable law. #J-18808-Ljbffr