Bioinformatics Analyst
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Job Description
Bioinformatics Analyst developing and maintaining data workflows for genomic analysis in a biotech setting. Collaborating with diverse teams to build reproducible workflows and analyze omics datasets.
Responsibilities:
- Process and analyze genomic and other omics datasets (for example, whole‑genome, whole‑exome, RNA‑seq, or similar assays), including alignment, quality assessment, variant detection, and annotation.
- Develop, document, and maintain reproducible analysis pipelines using modern workflow or pipeline tools and scripting languages.
- Implement best practices for data quality control, including monitoring run performance, detecting technical issues, and proposing corrective actions.
- Integrate data from multiple sources, harmonize formats and metadata, and prepare analysis‑ready datasets.
- Work with common bioinformatics tools and file formats (e.g., FASTQ, BAM/CRAM, VCF, BED, GFF/GTF) in a Unix/Linux environment.
- Develop and execute exploratory analyses, including cohort‑level summaries, visualization of key metrics, and interpretation of variant and gene‑level results.
- Prepare clear, well‑structured reports, figures, and presentation materials describing methods, assumptions, and findings for collaborators with diverse backgrounds.
- Contribute to the evaluation and adoption of new algorithms, tools, and workflows in bioinformatics and data analysis.
- Collaborate with other team members on study design, analysis plans, timelines, and prioritization of tasks.
Requirements:
- Graduate degree or equivalent experience in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related field.
- Practical experience with next‑generation sequencing data analysis (such as WGS, WES, or RNA‑seq), including quality control, alignment, and variant or expression analysis.
- Proficiency in at least one scripting language commonly used in bioinformatics (e.g., Python or R), and familiarity with relevant scientific or data‑analysis libraries.
- Experience working in Unix/Linux environments, including shell scripting and command‑line tools.
- Familiarity with standard genomics file formats and commonly used open‑source tools for sequence data processing and variant analysis.
- Exposure to workflow or pipeline management tools (such as Nextflow, Snakemake, CWL, WDL, or comparable systems), and an understanding of reproducible analysis practices.
- Strong organizational skills, attention to detail, and the ability to manage multiple analysis tasks in parallel while meeting agreed timelines.
- Clear written and verbal communication skills, including the ability to describe analytical approaches and results to non‑specialists.
Benefits:
- TBA
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