Postdoc: Computational Immunology & Antibody NGS Analytics

B-T; Stony Brook (NY); On-site; USD 65,000 - 85,000; Full time

Job summary

A university in New York is seeking a Postdoctoral Associate to assist in an NIH-funded project within the Applied Mathematics and Statistics department. The role involves modeling processes related to antibody genes, developing analysis methods for next-generation sequencing, and publishing research findings. Candidates must hold a PhD in Computational Biology, Bioinformatics, or a related field, along with a strong record of publication in peer-reviewed journals. This position offers a unique opportunity for collaborative research at a prominent academic institution.

Qualifications

• PhD with specialization in Computational Biology, Bioinformatics or related area required.
• Experience with next-generation sequencing bioinformatics preferred.
• Publication in peer-reviewed journals is essential.

Responsibilities

• Assist the Principal Investigator in an NIH-funded project.
• Conduct research following the policies of Stony Brook University.
• Model and quantitatively analyze antibody gene mutation processes.
• Develop methods for analyzing next-generation sequencing data from antibody genes.
• Prepare manuscripts for publication in scientific journals.

Skills

Computational Biology

Bioinformatics

Next-generation sequencing

Quantitative analysis

Publication in peer-reviewed journals

Education

PhD in Computational Biology, Bioinformatics or related area

Job description

A university in New York is seeking a Postdoctoral Associate to assist in an NIH-funded project within the Applied Mathematics and Statistics department. The role involves modeling processes related to antibody genes, developing analysis methods for next-generation sequencing, and publishing research findings. Candidates must hold a PhD in Computational Biology, Bioinformatics, or a related field, along with a strong record of publication in peer-reviewed journals. This position offers a unique opportunity for collaborative research at a prominent academic institution.