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Job Description - COMPUTATIONAL SCIENTIST ASSOCIATE (T226590) We are seeking a talented and motivated Computational Biologist Associate to join our team in developing the CHARM (Collecting, Harmonizing, Analyzing, Reasoning about, and Manipulating) framework as part of the Precision Medicine Institute's participation in the ARPA-H Biomedical Data Fabric program. The CHARM framework is a cutting-edge, open-source end-to-end toolchain that aims to revolutionize biomedical data collection, curation, and analysis by leveraging advanced AI techniques, including generative AI and knowledge graphs. As a Computational Biologist Associate, you will work closely with our interdisciplinary team of experts in biomedical informatics, data science, computational biology, and artificial intelligence to design, implement, and optimize components of the CHARM framework. Your contributions will help develop innovative tools and techniques to accelerate biomedical research and improve patient outcomes. Responsibilities include: Participating in problem assessment, analysis, and development of computational methods, pipelines, or procedures; evaluating, selecting, and applying appropriate methods to research problems. Contributing to the analysis of complex data, interpreting, and reporting results. Identifying relationships, trends, or factors affecting research outcomes. Overseeing projects of moderate size, scope, and complexity. Implementing programming and workflow management systems to scale processes across various computational platforms, including High Performance Computing clusters. Performing debugging on existing or novel methods and tools, and creating documentation. Managing computational environments (virtual environments and containers). Contributing to technical proposal preparation and presentations. Key Duties & Responsibilities: Collaborate with the research team to design and implement software components for the CHARM framework. Develop and optimize algorithms for data harmonization, integration, and analysis. Integrate advanced AI techniques, such as generative AI and knowledge graphs, into the CHARM framework. Participate in code reviews to ensure maintainability, scalability, and robustness. Contribute to documentation and testing of the framework. Stay informed about latest trends and best practices in software engineering and AI. Perform other duties as assigned. If you are passionate about advancing biomedical research through innovative software engineering and AI techniques, we encourage you to apply and contribute to the groundbreaking CHARM framework. Salary Range:

$77,640 - $126,170 Location:

Onsite in Birmingham, AL. Qualifications: Master's degree in a related field OR Bachelor's degree with two (2) years of related experience. Work experience may NOT substitute for education. Preferred qualifications include: Experience with software development best practices, including version control (e.g., Git), testing, and documentation. Familiarity with AI techniques, such as machine learning and deep learning. Knowledge of biomedical data formats, ontologies, and standards (e.g., FHIR, OMOP, Phenopackets). Ability to work effectively in interdisciplinary teams. Excellent problem-solving and communication skills. Experience with functional programming languages like Racket. Experience with generative AI models, such as GPT-4 or Claude 3. Familiarity with knowledge graphs and semantic web technologies (e.g., RDF, OWL, SPARQL). Experience with big data frameworks like Apache Spark or Hadoop. Knowledge of cloud platforms (AWS, Azure, Google Cloud). Experience with containerization technologies (Docker, Kubernetes). Experience with front-end technologies (React, Angular). Additional Details:

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Onsite UAB is an Equal Opportunity Employer. Concerns or questions regarding discrimination or Title IX can be directed to UAB’s designated officers. More information is available at uab.edu/titleix.

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