Job Description:

• Develops AI-driven bioinformatics and GIS Tools: Design and build advanced platforms for rapidly and efficiently identifying health disparities and therapeutic discovery.

• Leverages Cloud Platforms for Data Processing: Modern cloud platforms can be utilized for large-scale data processing, storage, and computation, ensuring the scalability of antibody design pipelines.

• Applies Advanced AI Techniques: Innovate with cutting-edge AI methods, including diffusion models and neural networks.

• Helps with grant proposals by contributing sections describing the interplay between research objectives and new or expanded data resources.

• Participates in tools development, providing professional assistance in designing front-end applications and database systems' back-end schema.

• Analyzes high-level system specifications and ensure that all application development standards are met.

• Develops and presents technical training materials and web-based documentation, and ensure timely systems support and updates.

• Assists in conducting assessments and risk analysis of the computing environment.

• Evaluates past and present technologies to help develop new tools and ensure that all new tools have been through quality control reviews.

• Participates in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences).

• Applies basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.

• Interprets data analysis of high throughput genomics, proteomics and genetic data.

• Plans own resources to implement or modify existing web-based bioinformatics tools.

• Performs other related work as needed.

Preferred Qualifications

Education:

• Master of Science in Bioinformatics, Computational Biology, Computer Science, or a related field.

Experience:

• Demonstrated expertise in software development.

• Machine Learning Expertise: Solid experience applying AI and machine learning frameworks to biologics.

• Programming Proficiency: Proficient in Python (required) and R (preferred), with experience in bioinformatics libraries and strong skills in cloud-based deployment of machine learning applications.

• Demonstrated hands-on experience in developing Machine learning and Artificial intelligence algorithms.

• Deep statistical knowledge and experience performing statistical inference analysis.

• Experience and general proficiency using one or more high-level analysis tools or statistical languages (e.g., R, MATLAB, etc.).

• Computing experience using Python and R.

• Experience developing friendly UIs (using Rshiny, Java Script,â¦).

• Fluency in data organization, manipulation, and analysis.

• Experience in a UNIX/Linux-based environment.

• Experience with parallel processing and cloud computing services.

Preferred Competencies

• Data Handling Expertise: Extensive experience curating, harmonizing, and preprocessing large-scale antibody datasets, including high-throughput screening data and structural models.

• Analytical and Strategic Skills: Strong analytical abilities to extract actionable insights from complex antibody datasets, focusing on developing innovative therapeutic strategies.

• Collaboration and Communication: Proven ability to work effectively in agile, interdisciplinary teams and communicate across scientific and technical domains.

• Understand and translate researchers' scientific goals into computational requirements.

• Identify and gain expertise in appropriate new technologies and software tools.

• Function as part of an interactive team while demonstrating self-initiative to achieve projectsâ™ goals and COU's mission.

• Strong analytical skills and problem-solving ability.

Working Conditions

• Ability to bend, crouch, or stoop.

• Ability to lift loads up tp 49lbs.

• Normal office / lab conditions.

Application Documents

• Resume (required)

• Cover letter (preferred)

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.

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About University of Chicago (UC)

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