Research Data Scientist

• Develop, implement, and evaluate advanced computational and statistical approaches for high-dimensional biological data analysis
• Perform integrative multi-omics analyses, including genomics, transcriptomics (single-cell), proteomics, and epigenomics
• Utilize and implement tools such as Scanpy and other single-cell analysis frameworks
• Develop and maintain reproducible workflows in Python and related programming environments
• Collaborate with faculty to design computational strategies aligned with research aims and develop novel algorithms and analytical pipelines
• Generate high-quality visualizations and analytical summaries for publications, grants, and presentations

• PhD in Bioinformatics, Computational Biology, Biology, Biomedical Sciences, Biostatistics, Computer Science, or a related field
• Demonstrated experience analyzing high-dimensional biological or omics datasets
• Strong programming skills in Python and familiarity with data science frameworks
• Experience with single-cell data analysis tools (e.g., Scanpy or similar platforms)
• Ability to integrate multi-omics datasets and work collaboratively across interdisciplinary research teams
• Strong written and verbal communication skills

• Opportunity to lead bioinformatics across multiple translational research initiatives
• Contribute to advancements in precision health and strengthen computational research capacity
• Comprehensive benefits package, including medical, dental, vision, and retirement plans
• Generous paid time off and a 75% tuition discount for employees and eligible family members

A world-renowned academic medical institution is at the forefront of translational and precision health research, making significant advancements in understanding and treating complex diseases. This institution is dedicated to fostering an environment of innovation and collaborative discovery, leveraging cutting-edge technology to drive impactful scientific outcomes.