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Title: Postdoctoral fellw

Salary: $74,692

Department: GGS

Physical work location: 1425 Madison Ave., New York, NY 10029

Name PI or Supervisor: Alexander Tsankov

Web link to Lab: https://www.tsankovlab.org/

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 Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences.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.

Educational and other Requirements for the position:

• Ph.D. in Computer Science, Bioinformatics, Statistics, Biological Sciences, or other relevant quantitative discipline.
• Training/exposure to machine learning, statistical modeling, and NGS genomic analysis.
• Abilities to think creatively, work independently and within a team
• Strong publication record.
• Team oriented with excellent written and verbal communication skills.
• Programming/scripting skills in R, Python/Jupyter, Perl, Unix, LSF etc.
  • A genuine love for science and people.

Interested applicants please send 1) your CV with a list of publications and research experiences, 2) a short summary of your present and future research interests, and 3) a list of three references and their contact information to Alex Tsankov (alexander.tsankov@mssm.edu).

SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), 816 - Genetics/Genomic Sci - ISM, Icahn School of Medicine

Educational and other Requirements for the position:

• Ph.D. in Computer Science, Bioinformatics, Statistics, Biological Sciences, or other relevant quantitative discipline.
• Training/exposure to machine learning, statistical modeling, and NGS genomic analysis.
• Abilities to think creatively, work independently and within a team
• Strong publication record.
• Team oriented with excellent written and verbal communication skills.
• Programming/scripting skills in R, Python/Jupyter, Perl, Unix, LSF etc.
  • A genuine love for science and people.

Interested applicants please send 1) your CV with a list of publications and research experiences, 2) a short summary of your present and future research interests, and 3) a list of three references and their contact information to Alex Tsankov (alexander.tsankov@mssm.edu).

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), 816 - Genetics/Genomic Sci - ISM, Icahn School of Medicine

Details of Research Project: 

We are looking for highly motivated, detail-oriented individuals genuinely interested in research bridging medicine and genomics to join the Tsankov lab at the Icahn School of Medicine at Mount Sinai in New York City. Our lab's overall vision is to build data-driven, quantitative models that improve diagnosis, find new drug-able pathways, and personalize treatment of patients with lung cancer and respiratory diseases. We analyze clinical samples from patients with the goal of unraveling the underlying regulatory mechanisms in normal lung cell homeostasis and interactions with the immune and stromal microenvironment as well as elucidating changes in cellular and tissue regulation in individuals with lung disease and cancer. New lab members have the option of being cross-trained to apply and develop computational frameworks and experimental techniques for high-throughput, next generation sequencing (NGS) datasets (e.g., single-cell transcriptomic, epigenomic, and spatial data). The vibrant, multidisciplinary training environment will allow for learning the state-of-the-art in single cell genomics analysis/technologies and for close interactions with clinical scientists and our collaborators at Mount Sinai and other institutions around the globe.

Technical Duties:

• Process and analyze NGS and other biomedical data using established pipelines.
• Maintain and update established pipelines.
• Develop and benchmark new tools for NGS and single cell data analysis.
• Collaborate with researchers in interpretation of data.
  • Teach principles of single-cell biology and spatial data analysis to other trainees.
  • Conduct research to develop new methodologies for medical application, analyzing data and presenting findings to the scientific audience and general public.
• Write and publish manuscripts.
• Participate in the preparation and writing of grants.