Bioinformatics Programmer - 135391

Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. Biomedical Informatics researchers develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies.

The goals of the Department of Biomedical Informatics (DBMI) are to (1) promote excellence in biomedical informatics research, (2) collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, (3) train the next generation of biomedical informatics specialists, and (4) interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research.

This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data for the scientific community, as well as patient-centered research. In addition, the department runs a complex computational infrastructure that allows access and analysis of these data in a privacy-preserving manner.

Under general supervision, applies machine learning and deep learning, and mission-critical healthcare real-time artificial Intelligence software development. This involves in-depth evaluation of variable factors impacting medium to large healthcare integration and implementation science projects of broad scope and complexities. Independently determines research and development projects and communicates project plans, milestones, and key performance indicators with team-members and executive-level management.

Designs, develops, and optimizes components / tools for major high performance computing (HPC) applications, using cloud computing, and involving hundreds to thousands of hospital beds. May manage a team of data scientists and IT experts to integrate with existing electronic medical records and bedside devices, based on interoperability standards such as FHIR and C-CDA. May manage one or more team of research staff and engineers through the design, implementation, evaluation and continuous improvement cycle. Gives technical presentations to associated hospital IT leadership, clinical, and administrative leadership. Evaluates new hardware and software technologies for scalable and fault-tolerant deployment of clinical grade artificial intelligence clinical decision support systems. May organize and represent the organization at national and international critical care and machine learning/artificial intelligence conferences. Directs a team of engineers to ensure implementation and compliance with quality management systems. Leads a team of engineers to prepare submissions for FDA regulatory approval of software as a medical device.

Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently.

• Seven years of related experience, education/training, OR an Bachelor's degree in related area plus three years of related experience/training.

• Demonstrated experience working with Python, TensorFlow, PyTorch, Matlab. Must have experience with real-time implementation of artificial Intelligence clinical decision support systems and health care data exchange protocols such as HL7 and FHIR.

• Experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.

• Demonstrated experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.

• Experience with Graph Neural Networks, and Large Language Models, including Vector Databases.

• Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. Experience with Python, MATLAB, C.

• Thorough knowledge of bioinformatics programming design, modification and implementation.

• Understanding of relational databases, web interfaces, and operating systems.

• Strong project management skills.

• Thorough knowledge of modern biology and applicable field of research.

• Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization.

• Ability to communicate technical information in a clear and concise manner.

• Ability to interface with management on a regular basis.

• Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills.

• Thorough knowledge of web, application and data security concepts and methods.

• PhD degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization.

• Employment is subject to a criminal background check.