Clinical Data Specialist

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🔥 36 minutes ago

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Azenta Life Sciences

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🧬 Biotechnology

🔬 Science

⚕️ Healthcare Insurance

💰 Post-IPO Equity on 2022-11

Biotechnology • Science • Healthcare Insurance

Azenta Life Sciences is a company dedicated to accelerating the discovery, development, and delivery of life sciences innovations. By providing unparalleled sample exploration and management solutions, Azenta empowers life sciences companies to bring impactful breakthroughs and therapies to market with greater speed and precision. Their capabilities in genomics, cryogenic storage, automation, and informatics support customers in advancing scientific progress. Azenta values its employees, offering comprehensive benefits and promoting a work-life balance, while fostering a diverse and inclusive workplace. They are committed to supporting scientific advancements that make a difference in the world.

📋 Description

• Perform clinical database design and management, data maintenance, and SOP management for structured workflows in clinical data processing. • Review data transfer agreements with clients and perform internal and external database design and maintenance including clinical information tracking, documentation, reconciliation, result data integration with structured formats customized for different analysis workflows or platforms (25%). • Evaluate different cloud-based data transfer and storage systems based on AWS and their compatibility in data analysis and delivery workflow with IT/clients to facilitate efficient turnaround of clinical data processing and cost savings (20%). • Maintain audit-readiness of documentation through conformance to procedures and applicable data standards by consistently reviewing and tracking data processing-related workflows with related teams and reporting back any deviated workflow findings (20%). • Write and review standard operating procedures of different Bioinformatics workflows and clinical data reconciliations (10%). • Perform data analysis for different types of NGS projects with a focus on clinical and pre-clinical related services (15%). • Test and develop pipelines for custom analysis requests (10%).

🎯 Requirements

• A master’s degree (U.S. or foreign equivalent) in Bioinformatics, Biology, or related field. • Three years of experience in a bioinformatics-related occupation in the life sciences industry. • 2 years of experience using clinical research workflows and SOP maintenance systems. • 3 years of experience using R or Python to analyze next generation sequencing (NGS) data and perform data maintenance work. • 3 years of experience designing and implementing NGS data analysis pipelines and solutions. • 2 years of experience working in a CLIA-regulated environment. • 3 years of preferred service provider experience interacting with clients to explain data analysis workflow and output. • 3 years of experience working with different computational systems including AWS cloud and Linux servers.