Trainee Causal Inference Jobs (NOW HIRING)

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.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

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.

• 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.?

SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), 811 - Population Health Science and Policy - ISM, Icahn School of Medicine

• 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.?

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72,500.00 - $80,000.00 Annually.Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), 811 - Population Health Science and Policy - ISM, Icahn School of Medicine

About the Lab and Role
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.