Programmer/Analyst Flow Cytometry Informatics

Our biopharma client is seeking an experienced Programmer/Analyst II to support scientific data management, application development, and analytical workflows within an R&D environment. This role requires strong Python and R programming skills, experience with high-performance computing (HPC) environments, and knowledge of flow cytometry data analysis. Description – Programmer/Analyst II – Biopharma R&D:

• Develop, maintain, and optimize Python and R applications supporting scientific research and analytical workflows.
• Design and implement data quality controls to ensure data integrity, accuracy, and timeliness through validation rules, audit trails, and monitoring.
• Develop and maintain web applications using Python frameworks and scientific computing tools.
• Manage the software development lifecycle using Git and Bitbucket, including branching strategies, code reviews, version tagging, releases, and documentation.
• Develop, customize, and monitor scientific tools and analytical pipelines within high-performance computing (HPC) environments, including JupyterHub.
• Build and deploy analytical pipelines for quality control monitoring, including performance metrics, dashboards, and automated alerting.
• Utilize Docker for application development, containerization, and deployment workflows.
• Develop and maintain technical documentation, standard operating procedures (SOPs), and user guides.
• Contribute to technical training materials and onboarding documentation.
• Support scientific data analysis and workflow improvements related to flow cytometry.

Computer Programming, Analysis Skills, Informatics, Data Management, Analysis Skills, Software Development, Python Programming/Scripting Language, Data Analysis, Computer Programming, R Programming Language, * Strong hands-on programming experience with Python and R, including testing, packaging, virtual environments, and logging.

• Experience developing and maintaining Python-based web applications and scientific software tools.
• Strong experience working with HPC environments and JupyterHub, including configuring, customizing, and monitoring analytical pipelines.
• Proficiency with Git and Bitbucket for source control, collaboration, and software release management.
• Experience using Docker for development and deployment.
• Experience developing automated data analysis and quality control pipelines, including dashboards, metrics, and alerting.
• Knowledge of data integrity practices, validation rules, audit trails, and monitoring within scientific research environments.
• Good understanding of flow cytometry, associated analytical methods, and specialized software, particularly OMIQ.
• Experience creating technical documentation, SOPs, and user training materials.
• Ability to work independently, troubleshoot technical issues, and manage assigned development responsibilities.
• Experience supporting scientific research, biotechnology, pharmaceutical, or biopharma R&D environments.
• Must be available to work full-time and onsite in Tarrytown, NY a minimum of 4 days per week.

• Competitive pay rate: $70–$80 per hour
• Available health, life, vision, and dental insurance
• 401(k) matching