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Bioinformatician & Immunologist

Full-time

Icahn School of Medicine at Mount Sinai

Company Description

The Icahn School of Medicine at Mount Sinai is an international leader in medical and scientific training, biomedical research, and patient care. As part of the Mount Sinai Health System, which encompasses eight hospital campuses, the institution supports over 5,000 faculty and nearly 2,000 students, residents, and fellows. Our commitment to intellectual exchange, breakthrough research, and teamwork drives impactful biomedical discoveries and advancements. Mount Sinai invests in creative thinkers and cutting-edge technology to revolutionize the practice of medicine and achieve better patient outcomes.

Role Description

This is a full-time on-site role for a researcher interested in skin immunology who has previous bioinformatics experience, particularly the analysis of single-cell RNA sequencing data using Seurat in R. Our lab is located in the Annenberg building on the Upper East Side, directly next to Central Park, as part of the Department of Dermatology at the Icahn School of Medicine at Mount Sinai. The applicant will be responsible for conducting statistical and bioinformatics data analysis of scRNA-seq datasets from blood and skin of patients, particularly those suffering from chronic inflammatory skin diseases and skin lymphomas.

The qualified individual/s will join a highly motivated, team player environment at a department that is considered to be one of the leading institutions in high-end skin research. Highly competitive annual salary and benefits for a successful applicant.

Qualifications

  • Proficiency in analyzing single-cell RNA sequencing datasets
  • Strong Data Analysis and Statistics skills
  • Excellent problem-solving skills and attention to detail
  • Ability to work collaboratively in a multidisciplinary team
  • PhD degree in Bioinformatics, Immunology, Computational Biology, or a related field
  • Experience in healthcare or biomedical research is a plus
Vacancy posted 2 days ago
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