Rutuja Atale

• Lead validation of NGS/WGS/RNA-Seq pipelines; develop validation plans, protocols, test cases, and acceptance criteria.
• Mentor team members, assign workloads, and track performance to drive high-quality results.
• Integrate new algorithms/tools into pipelines; ensure reproducibility, scalability, and regulatory compliance.
• Create and maintain documentation, SOPs, UAT test scripts and version control for audits and regulatory submissions.

• Validated RNA-Seq, WES, and variant-calling workflows; executed end-to-end SV&V.
• Optimized pipelines using Nextflow for performance and reproducibility.
• Collaborated with QA, clinical operations, and product teams; represented validation team in audits and technical reviews.
• Trained and guided junior analysts, establishing best practices and standard workflows.

Analyze the business requirements gathered by the solution delivery team and works toward making them clearer and

detailed oriented for the development and testing team

Expertise in databases to streamline data collection, with proficiency in SQL.

Implemented data automation workflows, improving efficiency and accuracy of data analytics processes.

Developed and optimized ETL pipelines for large-scale data processing and reporting.

Analyzed and documented business requirements for system upgrades and technical projects.

Participated in technical analysis and provided support during system migrations and upgrades.

Worked closely with developers and QA teams, ensuring thorough testing and issue resolution.

Developed SQL reports and managed security-related CRs using query management tools.

• Developed and validated NGS pipelines (QC, alignment, variant calling, annotation) in semi-regulated environments.
• Supported tool evaluation, integration, and troubleshooting for pipeline failures.
• Prepared regulatory-ready documentation and reports; enforced SOPs and validation standards.
• Performing RNA-Seq analysis on next generation sequencing data and optimizing the analysis pipeline by experimenting with different tools and software.
• Contribute to the design, development, implementation, and testing of bio-computing tools
• Create or modify web-based bioinformatics tools, public domain biological databases and software tools for sequence, domain and structural analysis