Software Engineer (Language Biomarker Lab) - Emory College of Arts and Sciences

Emory University•Atlanta, GA

1d•Onsite

About The Position

KEY RESPONSIBILITIES: Provides software development support including the identification and generation of software specifications and the designing, development, implementation and revision of software applications to meet business needs. Supports software applications and associated operating systems. Reviews software specifications, systems, models and coding using analytical and investigative methods and techniques to ensure required specifications meet system needs. Participates in software testing and subsequent modifications. Writes and edits reports to provide recommendations, conclusions and other data. Performs related responsibilities as required. ADDITIONAL JOB DETAILS: Join the Emory University's Language Biomarker Lab. The Language Biomarker Lab focuses on usingAI and NLP to predict and better understand conditions such as Psychosis, Depression, and Alzheimer’s Disease. As a Software Engineer, you will play a key role in developing and maintaining bioinformatic pipelinesfor a 42-site international project investigating language, facial, and acoustic indicators of psychosis. Data Engineering: Design, develop, and maintain high-performance data processing pipelines for large datasets. Implement robust quality control (QC) measures and data provenance tracking. Develop and maintain databases and APIs for efficient data management and sharing. Support data extraction, transformation, and loading (ETL) processes. Containerize and deploy software and workflows on high-performance computing platforms (e.g., clusters, cloud). Natural Language Processing: Develop and maintain NLP tools for language analyses of large samples of language. Collaborate with neuroscientists to analyze convergences between language analyses and neuroimaging data. Design and implement user-friendly interfaces for data exploration and analysis. Other key activities: Support web and application server configuration and deployment. Maintain and optimize the lab's computing infrastructure. Support data engineering efforts, including database and API design, data extraction/transformation/load, and data aggregation/integration

Requirements

A bachelor's degree in computer science, math, engineering or a related field and one year of related experience in programming and software systems or an equivalent combination of education, training and experience.
Knowledge of software development in a research institution context preferred.
Strong programming skills in Python and Bash.
Excellent Linux/Unix system administration skills.
Proficiency with version control systems (e.g., Git).
Strong communication and interpersonal skills.

Nice To Haves

Master's Degree in Computer Science, Mathematics, Engineering, or a related field.
Experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with JavaScript libraries for data visualization (e.g., d3.js).
Experience with web frameworks for building web applications (e.g., React, Angular).
Basic knowledge of linguistics or neuroscience and neuroanatomy.

Responsibilities

Provides software development support including the identification and generation of software specifications and the designing, development, implementation and revision of software applications to meet business needs.
Supports software applications and associated operating systems.
Reviews software specifications, systems, models and coding using analytical and investigative methods and techniques to ensure required specifications meet system needs.
Participates in software testing and subsequent modifications.
Writes and edits reports to provide recommendations, conclusions and other data.
Performs related responsibilities as required.
Design, develop, and maintain high-performance data processing pipelines for large datasets.
Implement robust quality control (QC) measures and data provenance tracking.
Develop and maintain databases and APIs for efficient data management and sharing.
Support data extraction, transformation, and loading (ETL) processes.
Containerize and deploy software and workflows on high-performance computing platforms (e.g., clusters, cloud).
Develop and maintain NLP tools for language analyses of large samples of language.
Collaborate with neuroscientists to analyze convergences between language analyses and neuroimaging data.
Design and implement user-friendly interfaces for data exploration and analysis.
Support web and application server configuration and deployment.
Maintain and optimize the lab's computing infrastructure.
Support data engineering efforts, including database and API design, data extraction/transformation/load, and data aggregation/integration