Summary

The Cuddapah lab is seeking a highly motivated Bioinformatics Analyst I to join his lab at Baylor College of Medicine on an NIH-funded project at the intersection of neurodevelopmental disorders, sleep, and circadian biology. The Cuddapah Lab will be implementing machine learning and multi-omics approaches to explore molecular mechanisms driving neurodevelopmental diseases.
The Bioinformatics Analyst will take a lead role in implementing and developing computational tools and applying statistical methods to analyze high-resolution behavioral videos as well as single-cell RNA sequencing, proteomics, lipidomics, and other omics datasets. This is a unique opportunity to contribute to biomedical research in a collaborative and intellectually stimulating environment.

Job Duties

• Engineers and refines predictive models and algorithms that will inform clinical choices, guide business strategy.
• Assists in research initiatives aimed at identifying novel genes associated with diseases.
• Translates complex data into actionable insights, presents these findings to key stakeholders through clear and compells visualizations and presentations.
• Tracks and assesses the efficacy of the predictive models and algorithms. Suggests and implements enhancements whenever necessary.
• Remains at the forefront of data science and machine learning advancements. Integrates the latest methodologies and innovations to address tangible challenges in the field.
• Analyzes high-throughput datasets, including single-cell transcriptomics, proteomics, and lipidomics.
• Develops and implements machine learning models to extract behavioral phenotypes from video recordings.
• Designs, maintains, and documents reproducible computational pipelines using Python and related tools.
• Collaborates with experimental scientists and clinical researchers to integrate multi-omics datasets and generates biological insights.
• Contributes to the preparation of figures, methods, and data summaries for manuscripts, presentations, and grant applications.
• Stays up to date with emerging tools and methods in bioinformatics, single-cell analysis, and artificial intelligence.

Minimum Qualifications

• Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
• No experience required.

Preferred Qualifications

• Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related discipline.
• Experience analyzing high-throughput biological data (e.g., single-cell, proteomics, lipidomics).
• Experience contributing to peer-reviewed publications in computational or biomedical research.
• Proficiency with Python libraries such as NumPy.
• Familiarity with machine learning, video analysis, or other data-intensive approaches in neuroscience or systems biology.
• Experience with data analysis tools such as SQL, Tableau, or Power BI.
• Has strong communication and collaboration skills.