Post Doctoral Fellow-MSH-76880-012
Mount Sinai Health System, New York, NY, United States
Postdoctoral Fellow in AI, Causal Inference, and Health Data Science
Suarez‑Farinas Lab – Icahn School of Medicine at Mount Sinai
About the Institution The Icahn School of Medicine at Mount Sinai is a globally recognized leader in medical education, scientific research, and innovative patient care. As the academic hub of the Mount Sinai Health System, it spans eight hospital campuses and includes a distinguished faculty of over 5,000 members. The institution is known for its pioneering spirit, investing in transformative technologies and fostering collaborative, multidisciplinary research to advance biomedical science and improve patient outcomes.
Responsibilities 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. The postdoctoral researcher will lead and contribute to cutting‑edge projects involving AI and data science in healthcare. Responsibilities include designing studies, developing novel algorithms, analyzing large and complex datasets, and collaborating closely with clinicians and interdisciplinary teams. The fellow will contribute to high‑impact publications, present at leading conferences, and mentor junior trainees. This is a full‑time, on‑site position based in New York, United States.
Qualifications
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
Experience in biomedical or healthcare research is a plus
Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
Strong written and oral communication skills
Experience mentoring or teaching is desirable
Application This is a full‑time postdoctoral position. Applications will be reviewed on a rolling basis. To apply, please email a CV and the names of three references to Mayte Suarez‑Farinas (mayte.suarezfarinas@mssm.edu) with the subject line “Postdoc Position.”
Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law.
Compensation The role’s salary range is $72,500 – $80,000 annually, in accordance with New York City law. Actual salaries depend on experience, education, and operational need. The range does not include bonuses, incentive pay, differential pay, or other forms of compensation.
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About the Institution The Icahn School of Medicine at Mount Sinai is a globally recognized leader in medical education, scientific research, and innovative patient care. As the academic hub of the Mount Sinai Health System, it spans eight hospital campuses and includes a distinguished faculty of over 5,000 members. The institution is known for its pioneering spirit, investing in transformative technologies and fostering collaborative, multidisciplinary research to advance biomedical science and improve patient outcomes.
Responsibilities 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. The postdoctoral researcher will lead and contribute to cutting‑edge projects involving AI and data science in healthcare. Responsibilities include designing studies, developing novel algorithms, analyzing large and complex datasets, and collaborating closely with clinicians and interdisciplinary teams. The fellow will contribute to high‑impact publications, present at leading conferences, and mentor junior trainees. This is a full‑time, on‑site position based in New York, United States.
Qualifications
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
Experience in biomedical or healthcare research is a plus
Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
Strong written and oral communication skills
Experience mentoring or teaching is desirable
Application This is a full‑time postdoctoral position. Applications will be reviewed on a rolling basis. To apply, please email a CV and the names of three references to Mayte Suarez‑Farinas (mayte.suarezfarinas@mssm.edu) with the subject line “Postdoc Position.”
Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law.
Compensation The role’s salary range is $72,500 – $80,000 annually, in accordance with New York City law. Actual salaries depend on experience, education, and operational need. The range does not include bonuses, incentive pay, differential pay, or other forms of compensation.
#J-18808-Ljbffr