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
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
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. Our research develops rigorous statistical and machine learning methods to uncover disease mechanisms, identify treatment-response biomarkers, and advance precision medicine using clinical trials, real-world data, and multi-omics datasets. A central focus of the lab is moving beyond purely predictive models toward causal, mechanistic, and clinically actionable insights, while building scalable and reproducible analytical pipelines.
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.
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. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.
Compensation Statement
Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72500 - $80000 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
#J-18808-Ljbffr
Suarez-Farinas Lab – Icahn School of Medicine at Mount Sinai
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
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. Our research develops rigorous statistical and machine learning methods to uncover disease mechanisms, identify treatment-response biomarkers, and advance precision medicine using clinical trials, real-world data, and multi-omics datasets. A central focus of the lab is moving beyond purely predictive models toward causal, mechanistic, and clinically actionable insights, while building scalable and reproducible analytical pipelines.
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.
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. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.
Compensation Statement
Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72500 - $80000 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
#J-18808-Ljbffr