Single Cell Spatial Transcriptomics Jobs in New York

Roles & Responsibilities:

The Department of Genetics and Genomic Sciences and the Center of Excellence for Thoracic Oncology in the Tisch Cancer Institute at the Icahn School of Medicine at Mount Sinai in Manhattan, New York leverage state-of-the-art genetic and genomic technologies with deep immunological expertise to uncover biomarkers of response and resistance to immunotherapies and for the rationale design of novel therapeutic strategies. We are seeking a motivated postdoctoral researcher in the area of Computational Genomics in Lung Cancer Biology and Immunology to work with the Hopkins and Tocheva Research Groups. Through an established pipeline with the Center for Thoracic Oncology led by Dr. Fred Hirsch, we use cancer patient-derived organoid/immune cell culture models to study tumor signaling, tumor-T cell interactions and immunotherapeutic responses at individual patient level. To do that, we leverage high-throughput functional immunoassays with single cell proteogenomic profiling technologies, including RNA-sequencing with surface epitope profiling, TCR-sequencing and high-dimensional cytometry. The candidate should have background/experience in genetic and genomic data analysis, more specifically bulk/single cell RNA-sequencing and WES. They will be a part of a multidisciplinary collaborative environment that includes cancer biologists, immunologists, computational biologists and physician-scientists. Computational experience is key requirement for this position.

Duties and Responsibilities:
Lead, conduct and analyze results pertaining to this research project
Maintain and analyze genomics/transcriptomics/proteomics data
Develop and implement algorithms, computational pipelines, statistical methods and software to analyze large-scale human sequencing data and perform integrative analysis
Interpret data, publish and present novel findings at journals and conferences
Collaborate and work together with other team members

Requirements:

Preferred Qualifications
PhD degree in Computation Biology, Bioinformatics, Human Genetics, Computer Science with strong quantitative background
Experience analyzing large biological datasets
Expertise in high performance or cloud (e.g., AWS or GCP) computing environments
Proficiency in Python and R
Desire and ability to learn quickly, work as part of a productive team, be active team member, think creatively, and apply and design new analytic approaches
Effective oral, written, and interpersonal communication skills

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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Preferred Qualifications
PhD degree in Computation Biology, Bioinformatics, Human Genetics, Computer Science with strong quantitative background
Experience analyzing large biological datasets
Expertise in high performance or cloud (e.g., AWS or GCP) computing environments
Proficiency in Python and R
Desire and ability to learn quickly, work as part of a productive team, be active team member, think creatively, and apply and design new analytic approaches
Effective oral, written, and interpersonal communication skills
 

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.

Non-Bargaining Unit, 816 - Genetics/Genomic Sci - ISM, Icahn School of Medicine

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