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Research Data Analyst - The Jackson Laboratory
Data Analyst
Research Data Analyst skilled in Python, R, and SQL to analyze complex genomics, behavioral, and multimodal datasets, delivering reproducible insights and visualizations while collaborating closely with bench scientists.
About the role
Key Responsibilities
- Design, implement, and execute analytical pipelines for high‑throughput genomics, behavioral, and other biological data sets.
- Develop reproducible scripts and workflows in Python and R, integrating statistical and machine‑learning methods.
- Collaborate with experimental scientists to translate raw data into actionable results, providing clear documentation and visual summaries.
- Maintain and query relational databases (SQL) to store, curate, and retrieve project data efficiently.
- Prepare technical reports, data visualizations, and presentations for internal stakeholders and external partners.
Requirements
- Advanced proficiency in Python and R for data manipulation, statistical analysis, and modeling.
- Experience with genomics data formats (e.g., FASTQ, BAM, VCF) and analysis tools such as Bioconductor or similar libraries.
- Strong SQL skills for data extraction, transformation, and management.
- Demonstrated ability to apply machine‑learning techniques to biological data and to communicate findings to non‑technical audiences.
- Excellent problem‑solving, written and verbal communication skills, and a collaborative mindset.
Skills
pythonsqlmachine learning