
Biotechnology • Pharmaceuticals • Science
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
September 26

Biotechnology • Pharmaceuticals • Science
Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.
• Ensure weekly EHR data updates for existing Vestrum panel physicians • Integrate new panel members from existing EMR systems • Lead data integrations, ETL processes, and database operations per collaborators' requirements • Maintain and improve existing integrations and add new EMR integrations • Improve automated quality assurance functions to validate incoming data and ensure accurate loading into the warehouse • Normalize various EMR data into Data Warehouse and analytical database • Maintain mapping tables for use by analysts (physicians, drugs, dosage forms and strengths) • Link and transform patient activity data into standardized outputs • Implement backup and recovery requirements and ensure nightly recoverable backups of all databases • Maintain database documentation describing data elements • Develop new data architecture and processes to improve performance using AWS analytical services • Ensure database security and compliance with HIPAA and GDPR • Manage operations including distribution of weekly and monthly reports • Communicate and maintain strong relations with collaborators
• Bachelor's degree or equivalent experience and relevant formal academic/vocational qualification • Similar to 5+ years’ experience or equivalent blend of education, training, & experience • Proficiency in Python & Pyspark • Expert level SQL expertise and proficiency in SQL and relational database schema • Experience with SQL Server database technologies including SSIS and SSRS • SQL Server to AWS migration using analytical services • Experience building Cloud BI solutions using AWS • Experience with Databricks (preferable) and familiarity with Snowflake • Experience with ETL, data integrations, and database operations • Data modelling and database building experience • Experience normalizing EMR/EHR data into a data warehouse • Experience with health care or Electronic Medical records, Clinical trial data domain • Expertise in relational database platforms: Oracle, SQL Server, MySQL, PostgreSQL • Familiarity with server environments (Windows, Linux/Unix), Apache, IIS • Proficiency in web development and scripting languages like Python and Shell • Experience with automated quality assurance for incoming data and data validation • Knowledge of backup and recovery, nightly recoverable backups of databases • Ensure database security and compliance with HIPAA, GDPR • Performance tuning and query optimization • Project management and leadership experience; leadership and mentoring capabilities • Jira, Github experience • Agile methodology experience • Strong logical, analytical thinking, and problem-solving capabilities • Excellent documentation and communication abilities • Familiarity with Tableau or PowerBI (good to have) • Experience in machine learning, NLP processing, and LLM (advantage)
• Fully Remote work • Reasonable accommodation for individuals with disabilities
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