Bioinformatics Analyst

About the Role

We are seeking a detail-oriented and analytical Bioinformatics Analyst to support the processing, management, analysis, and integration of complex genomic, transcriptomic, and biological data. In this role, you will bridge the gap between biological research, software technology, and computational data analytics to optimize pipeline integrity, tool usability, compliance, and workflow efficiency across research projects and clinical platforms.

Key Responsibilities

• Bioinformatics & Data Governance: Process, clean, analyze, and validate high-throughput biological data across Next-Generation Sequencing (NGS) and genomic database platforms. Identify data anomalies, run quality control pipelines, and enforce biological data governance standards.
• System Design & Pipeline Optimization: Participate in User Acceptance Testing (UAT), workflow optimization, tool development, and the implementation of data validation scripts aligned with scientific protocols and research workflows.
• Statistical & Computational Support: Perform exploratory data analysis and generate routine summary reports, dashboards, and visualizations using tools like Python, R, Bash, and SQL to monitor pipeline performance, data accuracy, and biomarker trends.
• Regulatory & Protocol Compliance: Ensure genomic data collection, interoperability, and handling adhere to FAIR data principles, HIPAA regulations, and standard bioinformatics data formats (e.g., FASTQ, BAM, VCF, GFF).
• Cross-Functional Collaboration: Partner with Computational Biologists, Software Engineers, Laboratory Scientists, Data Managers, and Research leads to ensure seamless pipeline execution, database consistency, and reliable data deliverables.

Qualifications

• Education: Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Health Informatics, Biostatistics, Data Science, or a related quantitative/life sciences field (Required).
• Experience: 0–5 years of experience in bioinformatics data analysis, genomic data management, computational biology, or CRO/research environments.
• Required Skills:
• Strong analytical, biological workflow, and data-driven problem-solving skills.
• Proficiency in Python, R, Linux/Unix shell scripting, and SQL database queries.
• Hands-on experience with bioinformatics tools, sequence alignment, variant calling, and high-performance computing (HPC) or cloud environments (AWS, GCP).
• In-depth knowledge of molecular biology concepts, genomic technologies, standard biological file formats, and data quality metrics.
• Excellent written and verbal communication skills for cross-functional reporting and scientific documentation.
• Preferred Skills:
• Familiarity with biological visualization tools and packages (e.g., ggplot2, Bioconductor, IGV, Dash/Streamlit).
• Knowledge of workflow management platforms (e.g., Nextflow, Snakemake, CWL).
• Understanding of clinical data standards and healthcare interoperability (HL7/FHIR).