Technician B

Updated: 17 days ago
Location: Columbia, SOUTH CAROLINA
Job Type: FullTime
Deadline: ; Aaron Diamond Aids Rsch Ct

  • Job Type: Support Staff - Union
  • Bargaining Unit: SSA
  • Regular/Temporary: Regular
  • End Date if Temporary:
  • Hours Per Week: 35
  • Standard Work Schedule:
  • Building:
  • Salary Range: $51,839.00 - $53,394.17

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.


Position Summary

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:  https://www.infectiousdiseases.cuimc.columbia.edu/profile/zizhang-sheng-phd

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 technician. 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 transcriptome, viral genome, and antibody repertoire to study B cell response to pathogen infection and disease pathogenesis. In addition to NGS analysis skills, the incumbent with experience on deep-learning is preferred. 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.


Key Responsibilities

  • Run bioinformatics pipelines to analyze high-throughput sequencing data, including transcriptomics, genome sequencing, and antibody repertoire.
  • Develop deep learning models to predict viral neutralization potency of antibodies.
  • Participate in scientific discussions, present research findings at meetings and/or conferences, and contribute to scientific publications.
  • Other duties as assigned

Minimum Qualifications

  • Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, or related discipline, or equivalent combination of education, training, and experience.

Preferred Qualifications

  • Programming skills in languages such as Python, R, or Perl.
  • Experience with next-generation sequencing data analysis (e.g., RNA-Seq, antibody repertoire).
  • Proficiency in using bioinformatics software and tools (e.g., CellRanger, Seurat, deep-learning etc.).
  • Knowledge of statistical analysis methods.
  • Effective communication skills, including the ability to present research findings to diverse audiences.
  • A demonstrated passion for bioinformatics research.

Other Requirements

  • The candidate selected for this position is required to undergo a drug screening test prior to a final offer of employment being made

Application Requirements:

  • Cover Letter
  • Curriculum Vitae (CV) / Resume
  • Contact information for at least three professional references.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.



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