Columbia University Irving Medical Center
Postdoctoral Research Scientist
Columbia University Irving Medical Center, New York, New York, us, 10261
Apply for the
Postdoctoral Research Scientist
role at
Columbia University Irving Medical Center
Open Date:
Oct 20, 2025
Salary Range:
$72,116-$72,116
Columbia University’s Department of Systems Biology is seeking a qualified candidate for a research position of Postdoctoral Research Scientist (computational) in Dr. Andrea Califano’s laboratory. Candidates should have outstanding scientific and doctoral credentials, including first-author publications in journals relevant to the field of systems biology, and conference presentations. Candidates possessing a strong computational background combined with a good understanding of molecular biology will be especially well suited to fill this position, including background in machine learning, physics, mathematics, and related sciences. In addition, the optimal candidate will have significant experience and publications in network-based biology, including the reverse engineering and/or use of regulatory/signaling networks to elucidate the molecular determinants of specific cellular phenotypes and associated mechanisms for follow-up experimental validation.
Responsibilities
Integrate quantitative analysis, high-throughput experimentation, and technology development.
Collaborate on multidisciplinary teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks.
Use models to predict how genomic and epigenomic diversity affect physiological or pathological phenotypes.
Develop new methods and technologies for elucidating biological mechanisms at the systems level.
Mentor students and manage projects.
Minimum Degree Required
Ph.D. in computational biology, computer science, mathematics, physics, or related quantitative science.
Proven first-author publication track record.
Preferred Qualifications
Knowledge of standard computer languages, including R, Java, PERL, and C/C++.
Familiarity with processing large genomic data sets and reverse engineering techniques.
Experience with network biology algorithms.
In-depth knowledge of machine learning and probability theory.
Excellent communication and writing skills.
Strong project management skills and demonstrated mentoring experience.
Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants receive a free Dossier account and can submit all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity Statement 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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Postdoctoral Research Scientist
role at
Columbia University Irving Medical Center
Open Date:
Oct 20, 2025
Salary Range:
$72,116-$72,116
Columbia University’s Department of Systems Biology is seeking a qualified candidate for a research position of Postdoctoral Research Scientist (computational) in Dr. Andrea Califano’s laboratory. Candidates should have outstanding scientific and doctoral credentials, including first-author publications in journals relevant to the field of systems biology, and conference presentations. Candidates possessing a strong computational background combined with a good understanding of molecular biology will be especially well suited to fill this position, including background in machine learning, physics, mathematics, and related sciences. In addition, the optimal candidate will have significant experience and publications in network-based biology, including the reverse engineering and/or use of regulatory/signaling networks to elucidate the molecular determinants of specific cellular phenotypes and associated mechanisms for follow-up experimental validation.
Responsibilities
Integrate quantitative analysis, high-throughput experimentation, and technology development.
Collaborate on multidisciplinary teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks.
Use models to predict how genomic and epigenomic diversity affect physiological or pathological phenotypes.
Develop new methods and technologies for elucidating biological mechanisms at the systems level.
Mentor students and manage projects.
Minimum Degree Required
Ph.D. in computational biology, computer science, mathematics, physics, or related quantitative science.
Proven first-author publication track record.
Preferred Qualifications
Knowledge of standard computer languages, including R, Java, PERL, and C/C++.
Familiarity with processing large genomic data sets and reverse engineering techniques.
Experience with network biology algorithms.
In-depth knowledge of machine learning and probability theory.
Excellent communication and writing skills.
Strong project management skills and demonstrated mentoring experience.
Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants receive a free Dossier account and can submit all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity Statement 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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