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BACKGROUND

Dr. Zizhang Sheng's lab at Columbia University 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 erythematosis, IgA nephropathy, etc.). More descriptions of the Sheng lab can be found here: https://www.infectiousdiseases.cuimc.columbia.edu/profile/zizhang-sheng-phd. The Sheng lab purses scientific research in cutting edge fields and have published over 80 papers in Cell, Nature, Nature Communications, Cell Reports, etc. (https://scholar.google.com/citations?user=40ZwAOgAAAAJ&hl=en).

We are seeking a highly motivated and talented individual to join our team as a Bioinformatics Postdoctoral Research Fellow. 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 successful candidate 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.

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 conferences, and contribute to scientific publications.
Mentor and assist junior researchers in bioinformatics techniques and data analysis.

REQUIREMENTS

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.

PREFERENCES

Applicants with earlier starting date, strong programing background. Wetlab experience (e.g., PCR, protein expression, ELISA, PCR) will be preferred but not required.

LOCATION

Aaron Diamond AIDS Research Center, Columbia University, New York

COMPENSATION

Competitive postdoctoral salary ($70K+) and benefits package.
Access to state-of-the-art computational resources and research facilities.
Opportunities for collaboration with leading researchers in the field (see our publications).
Career development and mentorship opportunities.
A stimulating and inclusive research environment.

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.

HOW TO APPLY

Interested candidates are invited to submit the following documents to the Columbia ASR system (https://apply.interfolio.com/135947) or email to zs2248[at]cumc.columbia.edu.

Cover Letter detailing their research interests and qualifications.
Curriculum Vitae (CV) with a list of publications.
Contact information for at least three professional references.
A brief research statement (up to 2 pages) outlining their past research, current interests, and future goals in bioinformatics.

POLICY

We are an equal opportunity employer and welcome applications from individuals of all backgrounds and experiences. We encourage candidates from underrepresented groups to apply.

Columbia University is committed to fostering a diverse and inclusive research community. We look forward to welcoming new talent to our team and advancing the field of bioinformatics together.

Discussion forums: Opportunity: Bioinformatics Postdoctoral Research Fellow (Machine Learning, Single Cell Transcriptome, Antibody Repertoire) @ Columbia University -- New York, NY (US)

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