Computational Autoimmunity Postdoc — Genomics & Rheumatology

NYU Langone; New York (NY); On-site; USD 55,000 - 70,000; Full time

Job summary

NYU Langone Health is seeking a highly motivated Postdoctoral Research Fellow in the Najjar Lab focusing on rheumatologic autoimmune diseases. The role emphasizes computational biology, genomics, and bioinformatics to uncover mechanisms of autoimmune pathogenesis and neoantigen formation.

Join a collaborative team led by Dr. Rayan Najjar, integrating clinical insights with discovery science to advance therapies for dermatomyositis and related conditions.

Qualifications

• PhD in Computational Biology, Bioinformatics, Genomics, Biostatistics, or related field.
• Strong computational background with experience in genomic or transcriptomic data analysis.
• Proven track record of peer-reviewed publications.
• Ability to work independently and in a team.
• Strong analytical and scientific communication skills.

Responsibilities

• Lead and contribute to rheumatologic autoimmune disease research projects.
• Develop and test hypotheses using computational and bioinformatics approaches.
• Analyze bulk and single-cell transcriptomics and other omics datasets.
• Apply computational methods to understand autoimmune pathogenesis.
• Lead 1–2 primary projects and collaborate on others.
• Collaborate with interdisciplinary teams to link computational findings to biology.

Skills

Genomic data analysis

Transcriptomic data analysis

Bioinformatics

Scientific communication

Collaborative teamwork

Education

PhD in Computational Biology / Bioinformatics / Genomics / Biostatistics or related field

Tools

R

Python

Bioconductor

Job description

NYU Langone Health is seeking a highly motivated Postdoctoral Research Fellow in the Najjar Lab focusing on rheumatologic autoimmune diseases. The role emphasizes computational biology, genomics, and bioinformatics to uncover mechanisms of autoimmune pathogenesis and neoantigen formation.

Join a collaborative team led by Dr. Rayan Najjar, integrating clinical insights with discovery science to advance therapies for dermatomyositis and related conditions.