Associate Research Scientist

Details

Posted: 28-Feb-24

Location: New York, NY

Salary: Open

Categories:

Academic/Faculty

Internal Number: 141498

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 Associate 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. In addition to NGS analysis skills, the incumbent with experience on structural bioinformatics, deep-learning, or biochemical assays including protein expression and production, ELISA, SPR are 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:

Conduct bioinformatics analyses to interpret high-throughput sequencing data, including transcriptomics and antibody repertoire.

Using structural bioinformatics approaches to study the mechanisms of antibody-antigen interaction, antibody design, and viral escape.

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.

Experience with next-generation sequencing data analysis (e.g., RNA-Seq, antibody repertoire).

Proficiency in using bioinformatics software and tools (e.g., CellRanger, Seurat, SAMtools, PyMOL, alchemical free energy perturbation, molecular dynamics simulation, deep-learning etc.).

Knowledge of statistical analysis methods.

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.

Please include cover letter with CV/resume.

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.

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About Columbia University
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.
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