Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

JOB DESCRIPTION:

• Coordinates and leads the development and maintenance of applications. Consults with customers to understand business problems and develops technical solutions.
• Provides technical expertise on applications, technical tools and software. Provides technical direction to customers and support staff. Performs other related duties as required.

MINIMUM QUALIFICATIONS:

• Eight years of information technology experience OR a bachelor's degree and six years of information technology experience.
• Positions in this classification may require a knowledge of one or more programming languages and/or a knowledge of an application and application tools.

 

ADDITIONAL JOB DETAILS:

Join a cutting-edge research team at Emory University's Language Biomarker Lab!
We are seeking a highly motivated and skilled full time, Applications Developer/Analyst, Lead, to advance groundbreaking research into mental health conditions.

 

About the Lab:
The Language Biomarker Lab focuses on harnessing language as a powerful tool for predicting and tracking mental health conditions such as Psychosis, Depression, and Alzheimer’s Disease. Our interdisciplinary team collaborates with experts in computer science, neuroscience, psychology, and psychiatry from leading institutions nationwide. Together, we aim to develop transformative solutions for mental health challenges.

 

Position Summary:
As a Lead Applications Developer/Analyst, you will play a critical role in building and managing the lab’s bioinformatics infrastructure for multiple large-scale research projects. Your contributions will enable advanced data analysis and foster collaboration among researchers at the forefront of mental health science.

 

Key Responsibilities:

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.

System Administration:

• Support web and application server configuration and deployment.
• Maintain and optimize the lab's computing infrastructure.

Why Join?

• Join a cutting-edge research team and contribute to impactful work in mental health.
• Collaborate with leading researchers in the field of neuroscience.
• Learn and utilize advanced data engineering and neuroinformatic technologies.
• Opportunity for professional growth and
  development within a supportive environment.

Please include the following in your application in order to be considered:

• Cover Letter
• CV/Resume
• 2-3 Letters of Recommendation

PREFERRED QUALIFICATIONS:

• Bachelor's Degree in Computer Science, Mathematics, Engineering, or a related field.
• 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. Basic knowledge of linguistics or neuroscience and neuroanatomy.
• 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).

NOTE: Position tasks are generally required to be performed in-person at an Emory University location.  Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee. 

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.