Single Cell Transcriptomics Phd Machine Learning Jobs

Postdoctoral Fellow 

Seaver Autism Center for Research and Treatment

Department of Psychiatry

Icahn School of Medicine at Mount Sinai

Position Overview: 

The team of Xuran Wang, PhD, at the Seaver Autism Center for Research and Treatment in the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai in New York, is seeking a motivated, creative, and dynamic postdoctoral fellow with expertise in biostatistics/bioinformatics to study the single-cell transcriptomics and multi-omics data with a focus on method development for neuropsychiatric diseases, such as autism spectrum disorder (ASD). 

Research Focus: 

Dr. Wang's research bridges statistical genomics, computational biology, and neuroscience. The lab is committed to developing and applying advanced statistical, computational, and machine-learning methods to decode genomic, transcriptomic, and phenotypic data. Current projects include methodological advancements for single-cell CRISPR data and spatial transcriptomics.

For more about our scientific interests and publications, please visit Dr. Wang's Research page: https://xuranw.github.io/.

Appointment Details:

• Term: 1-year initial appointment starting January 1, 2025, with a strong preference for renewal up to an additional 1-2 years, contingent upon performance and availability of funding.
• Location: Icahn School of Medicine at Mount Sinai, 1399 Park Avenue, Manhattan, New York. 

Preferred Qualifications:

• Experience in genetics, genomics, and psychiatric disorder data analysis. 

Research Opportunities:

• Conduct cutting-edge research with a strong translational impact on neurodevelopmental disorders.
• Learn and conduct research with novel statistical and computational algorithms.
• Engage with the vibrant and exciting research community of the Seaver Center and the Icahn School of Medicine at Mount Sinai.

Application Process:

Please send a cover letter detailing your research interests, CV, and contact information for three references to Dr. Wang at xuran.wang@mssm.edu

Qualifications:

• PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Applied Mathematics, or equivalent quantitative field. 
• Demonstrated programming expertise (R, Python, etc.).
• Strong record of publications in peer-reviewed journals.
• Excellent Communication skills.
• Ability to collaborate in an interdisciplinary setting.

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.

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Qualifications:

• PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Applied Mathematics, or equivalent quantitative field. 
• Demonstrated programming expertise (R, Python, etc.).
• Strong record of publications in peer-reviewed journals.
• Excellent Communication skills.
• Ability to collaborate in an interdisciplinary setting.

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 this 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.

Preferred Qualifications:

• Experience in genetics, genomics, and psychiatric disorder data analysis. 

Research Opportunities:

• Conduct cutting-edge research with a strong translational impact on neurodevelopmental disorders.
• Learn and conduct research with novel statistical and computational algorithms.
• Engage with the vibrant and exciting research community of the Seaver Center and the Icahn School of Medicine at Mount Sinai.

Application Process:

Please send a cover letter detailing your research interests, CV, and contact information for three references to Dr. Wang at xuran.wang@mssm.edu  

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