Machine Learning Genomics Postdoc (Disease Genomics)

东莞群福塑胶制品有限公司; New York (NY); On-site; USD 60,000 - 76,000; Full time

Job summary

Icahn School of Medicine at Mount Sinai invites applications for a Postdoctoral Research Fellowship in Machine Learning, AI, and Computational Biology for Human Disease Genomics. You will work on modeling functional genetic variants and conducting large-scale PheWAS across biobanks, guided by senior supervisors in CBIPM, AIHH, and GGS.

The role offers access to extensive patient data, exome sequencing, and clinical data for advancing precision medicine, with collaboration opportunities

Qualifications

• Proficiency in programming with Python and statistical computing with R.
• Strong publication record and experience in computational biology.
• Excellent communication and presentation skills in English.

Responsibilities

• Develop ML/AI methods to model functional effects of genetic variants.
• Lead or collaborate on large-scale PheWAS studies using biobank data.
• Mentor and train junior researchers and present findings at conferences.

Skills

Python

R

English fluency

Education

PhD/MD or equivalent

Job description

Icahn School of Medicine at Mount Sinai invites applications for a Postdoctoral Research Fellowship in Machine Learning, AI, and Computational Biology for Human Disease Genomics. You will work on modeling functional genetic variants and conducting large-scale PheWAS across biobanks, guided by senior supervisors in CBIPM, AIHH, and GGS.

The role offers access to extensive patient data, exome sequencing, and clinical data for advancing precision medicine, with collaboration opportunities