Our team includes clinicians, biostatisticians, programmers, data analysts and bioinformaticians focused on high impact cardiovascular clinical research. Our research group develops software and algorithms that allow computers to analyze, process, and quantify imaging of the heart in the same way as cardiologists. As a Research Software Developer, you will manage the software development lifecycle, including conception, design, development, documentation, and maintenance of research software and assigned research studies. This will include, designing pipelines for data collection, clinical data abstraction, processing data, maintaining record systems, and producing project reports for studies. Desired skills for processing medical imaging data include proficiency with Python and applicable packages, including OpenCV, Pydicom, SciPy, and PyTorch. 

Additional responsibilities include the opportunity to participate in making strategic data-related decisions by analyzing and manipulating data and building models to assist in the clinical and operational setting. Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL). Create sustainable data science infrastructure and adhere to data analysis/machine learning best practices. Perform exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods. Work with business partners to identify areas where data science can best deliver value. Test and validate code to ensure the robustness of data applications. Act as an advisor or thought partner to stakeholders by identifying issues for resolution, providing research expertise and summarizing findings. Collaborate to problem solve and make decisions to achieve desired outcomes. Establish effective working relationships with cross-functional team(s). 

Essential job duties and responsibilities:

• Manages and analyzes data for research studies.
• Processes clinical data using a range of computer applications and database systems to support cleaning and management of subject or patient data.
• Designs pipelines for data collection and analysis.
• Analysis of research data using PyTorch, Scipy, and applicable analysis applications and packages.
• Maintains the accuracy, integrity and security of complex, large computerized records systems.
• Participate in publications and presentations as an author. 
• Designs and performs experiments with colleagues and collaborators.
• Participates in required training and education programs regarding protecting patient data, best practices with research integrity and applicable laws.
• Understands regulations, policies, protocols and procedures to control and maintain accurate records.

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Educational Requirements:

• Bachelor of Arts or Bachelor of Science in Computer Science, Electrical Engineering, Physics, Math, Economics, Statistics, or equivalent is required

Experience:

• Three (3) years minimum experience managing application design, software development, maintenance.
• Essential skills include proficiency using Python, R, and SQL, including PyTorch, and Scipy. CUDA experience desirable but not essential.
• Relevant background experience includes clinical and / or statistical training or work experience.
• In conjunction with a biostatistician, may perform complex statistical analysis for publication.