Associate Bioinformatician - Windreich Department of Artificial Intelligence & Human Health

The Windreich Department of Artificial Intelligence and Human Health (AIHH) at the Icahn School of Medicine at Mount Sinai leads a pioneering collaboration with the Charles Bronfman Institute for Personalized Medicine (CBIPM) and the Hasso Plattner Institute for Digital Health (HPIMS) to transform the future of health care. Together, these three entities form a unified ecosystem that integrates advanced AI-driven diagnostics, large-scale clinical research, and cutting-edge digital innovation to accelerate scientific discovery and deliver meaningful improvements in patient care and health systems worldwide.

The Associate Bioinformatician will assist on research projects focused on data science and genetic epidemiology, including polygenic testing, common and rare variant association analysis, and clinical data science, using electronic health record-linked biobanks. The Associate Bioinformatician will perform data analysis including genetic association, and statistical analysis. The bioinformatician will assist with writing manuscripts and present research on the project. The bioinformatician will also assist on performing analyses for grants and writing grants. The Associate Bioinformatician will meet regularly with the principal investigator.

The ideal candidate will have strong statistical and programming proficiencies with proven expertise in genomic analysis.

• Designs and implements bioinformatics tools and processes.
• Identifies and resolves technical issues and proposes upgrades to current software.
• Assisting and/or leading own research projects (including writing and publishing manuscripts);
• Providing statistical analyses for population and medical genetics, and clinical data science projects, mentored by Dr. Do
• Writing and publishing research manuscripts
• Present research at seminars and conferences
• Assist with analyses on other projects in the lab.
• Assist with grants

• B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline. M.S. in related field preferred.
• Minimum 1 year of experience in research environment, 2-3 years preferred