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Post Doctoral Fellow-MSH-76880-013

Mount Sinai Health System

Manhattan, NY • On-site

$54K - $73K/yr

Full-time

Re-posted 24 days ago

Mount Sinai rating

7.8

Company rating: 7.8 out of 10

Based on 292 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers

Job description

Job Summary:
Mount Sinai Health System is a globally recognized leader in medical education, scientific research, and innovative patient care. The Suarez-Farinas Lab is seeking a highly motivated postdoctoral fellow to work at the intersection of artificial intelligence, causal inference, and translational health data science, focusing on developing statistical and machine learning methods to advance precision medicine.
Responsibilities:
• designing studies
• developing novel algorithms
• analyzing large and complex datasets
• collaborating closely with clinicians and interdisciplinary teams
• contributing to high-impact publications
• presenting at leading conferences
• mentoring junior trainees
Qualifications:
Required:
• PhD in statistics, biostatistics, computer science, data science, bioinformatics, or a related quantitative field
• Strong background in ML and interest or experience in causal inference (e.g., causal ML, treatment effect estimation)
• Proficiency in R and/or Python, with experience handling large, complex datasets
• Solid understanding of statistical modeling, experimental design, and algorithm development
• Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
• Strong written and oral communication skills
Preferred:
• Experience in biomedical or healthcare research is a plus
• Experience mentoring or teaching is desirable
Company:
Mount Sinai Health System delivers integrated medical care, research, and medical education through its network. Founded in 2013, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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