Senior Applications System Analyst
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Experteer Overview As a Senior Applications Systems Analyst, you will provide technical leadership for data-driven applications, analytics platforms, and research systems. You will design, deploy, and support secure, scalable data solutions and work closely with stakeholders to define objectives and requirements. You mentor team members and apply modern software engineering and data science practices to deliver impactful results in a healthcare research context. This role offers the opportunity to shape critical infrastructure while collaborating across cross-functional teams in a flexible, growth-oriented environment. Compensation / Benefits * Provide technical leadership across design, development, deployment, and support of data-driven applications and analytics platforms * Develop secure, scalable data solutions for data collection, processing, integration, analysis, and reporting * Collaborate with stakeholders to define system objectives and analyze requirements * Mentor and guide team members through technical challenges and best practices * Lead or contribute as a technical lead or product owner in projects Tasks * Strong Python development expertise * Data analysis, data engineering, and scientific computing experience * Experience with Python libraries: Pandas, NumPy, SciPy, Jupyter * Proficiency with Linux environments and command-line interfaces * Experience with Docker and modern development workflows * Experience with relational databases, cloud platforms, API development, version control, and automated deployment * Familiarity with research, healthcare, or large-scale data platforms; agile development experience Key requirements * Employer-paid medical coverage starting day one * PTO and Extended Illness Bank accruals, paid holidays * Tuition Assistance Program after six months * Defined-benefit pension and employer-paid life insurance * Wellness and employee resource groups * Flexible, collaborative work environment
Requirements
and team members through technical challenges and best practices * Lead or contribute as a technical lead or product owner in projects Tasks * Strong Python development expertise * Data analysis, data engineering, and scientific computing experience * Experience with Python libraries: Pandas, NumPy, SciPy, Jupyter * Proficiency with Linux environments and command-line interfaces * Experience with Docker and modern development workflows * Experience with relational databases, cloud platforms, API development, version control, and automated deployment * Familiarity with research, healthcare, or large-scale data platforms; agile development experience Key requirements * Employer-paid medical coverage starting day one * PTO and Extended Illness Bank accruals, paid holidays * Tuition Assistance Program after six months * Defined-benefit pension and employer-paid life insurance * Wellness and employee resource groups * Flexible, collaborative work environment
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