Dr. Zizhang Sheng's lab at Columbia University Irving Medical Center, Department of Medicine, Division of Infectious Diseases, the Aaron Diamond AIDS Research Center (ADARC), applies bioinformatics and biochemical approaches to elucidate the mechanisms of humoral immune response to infection (HIV, SARS-CoV-2, influenza, malaria, etc.) and to understand the role and origin of autoreactive B cells in autoimmunity (systemic lupus erythematosus, IgA nephropathy, etc.).

Sheng Lab details can be found here:

The Sheng Lab pursues scientific research in cutting-edge fields and has published over 80 papers in Cell, Nature, Nature Communications, Cell Reports, etc.

Position Summary:

We are seeking a highly motivated and talented individual to join our team as a Bioinformatics Postdoctoral Research Scientist. This position offers an exciting opportunity to contribute to cutting-edge research in the field. The position will involve analyzing next-generation sequencing data of single cell transcriptome and antibody repertoire to study affinity maturation mechanisms of pathogen or auto-antigen specific antibodies and disease pathogenesis. The position will also involve developing machine learning and/or deep learning methods to predict potency of HIV broadly neutralizing antibodies. The incumbent will work closely with a multidisciplinary team of both computational and experimental researchers and gain valuable experience in advanced data analysis techniques, algorithm development, and the interpretation of NGS data.

Anticipated start date: 12/6/2023

Key Responsibilities:

• Conduct bioinformatics analyses to interpret high-throughput sequencing data, including transcriptomics and antibody repertoire.
• Develop and implement machine learning and/or deep learning methods to predict potency of HIV broadly neutralizing antibodies.
• Collaborate with experimental biologists to design and execute bioinformatics experiments that address key research questions.
• Participate in scientific discussions, present research findings at meetings and/or conferences, and contribute to scientific publications.
• Mentor and assist junior researchers in bioinformatics techniques and data analysis.

Minimum Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field.
• Strong programming skills in languages such as Python, R, or Perl.
• Proficiency in using bioinformatics software and tools (e.g., CellRanger, Seurat, SAMtools, etc.).
• Experience with next-generation sequencing data analysis (e.g., RNA-Seq, antibody repertoire).
• Knowledge of statistical analysis methods and machine learning techniques.
• Excellent problem-solving skills and the ability to work both independently and collaboratively.
• Effective communication skills, including the ability to present research findings to diverse audiences.
• A strong publication record and a demonstrated passion for bioinformatics research.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.