Openings
03/19/24 The Califano Lab currently has openings for i) a Postdoctoral Research Scientist (computational), ii) a Postdoctoral Research Scientist (experimental), iii) an Associate Research Scientist (computational), and iv) an Associate Research Scientist (experimental).
We are currently seeking candidates at the postdoctoral and associate research scientist level who are interested in being involved in cutting edge research in precision cancer medicine. Candidates should have a strong track record and publications in either systems biology or in CRISPR-based screens and other high-throughput lab technologies.
Application Instructions
Please submit your cover letter and CV on our Career Website at https://academic.careers.columbia.edu using the indicated requisition number. For questions about this position, contact Dr. Cristina Caescu at ic2520@cumc.columbia.edu.
Postdoctoral Research Scientist (Computational) #125556
Description
Columbia University’s Department of Systems Biology is seeking multiple qualified candidates for research positions of Postdoctoral Research Scientist (Computational) in Dr. Andrea Califano’s laboratory (http://califano.c2b2.columbia.edu/). 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
Integration of quantitative analysis, high-throughput experimentation, and technology development is the hallmark of Systems Biology at Columbia. As such, the Postdoctoral Research Scientists will work collaboratively on multidisciplinary teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic phenotypes; and develop new methods and technologies for elucidating biological mechanisms at the systems level. The Califano lab has an outstanding record of placement for its former members ranging from academic position, including department chairs, to leading positions in industry, from group leader to chief scientific officer.
Qualifications
PhD in one of the following disciplines: computational biology, physics, computer science, mathematics, or related quantitative science is required.
A proven first-author publication track record is required to be considered for this position.
Knowledge of standard computer languages, including R, Java, PERL, and C/C .
Familiarity with processing large genomic data sets and with a variety of reverse engineering techniques, including optimization-based, statistical, and integrative approaches.
Familiarity with network biology algorithms, including both network reverse engineering and analysis, as well as with the underlying biological knowledge related to transcriptional and post-translational interactions is critical to be considered for this position, as is in-depth knowledge of the foundations of machine learning and probability theory.
Excellent communication and writing skills
· Strong project management skills and demonstrated mentoring skills with students
Postdoctoral Research Scientist (Experimental) #125559
Description
The Califano Lab in the Department of Systems Biology at Columbia University is seeking exceptionally qualified candidates for multiple Postdoctoral Research Scientist (Experimental) positions. Successful candidates will have extensive wet-bench and single cell technology development expertise in to be involved in highly competitive research leading to highly innovative, high-impact publications. The ideal candidates shall have outstanding scientific credentials, including first-author publications and conference presentations relevant to the field of single cell biology. Candidates possessing a strong background in single-cell technology development and methodologies—such as CROP-Seq, perturb-Seq, ATAC-Seq, CITE-Seq and single cell library generation and profiling—combined with expertise in disciplines such as cell and molecular biology, immunology, genetics, biochemistry and related sciences will be especially well suited. Familiarity with computational biology approaches would be a useful addition but is not needed to fulfill the requirements for this position, as appropriate training will be provided by the lab. The optimal candidate would also have significant experience and publications in systems biology, including familiarity with regulatory/signaling networks and spatial representation of cellular transcripts and proteins, to elucidate the molecular determinants of specific cellular phenotypes and associated mechanisms in cancer.
Integration of quantitative analysis, high-throughput experimentation, and technology development is the hallmark of the Department of Systems Biology at Columbia, especially in the Califano lab. As such, the Postdoctoral Research Scientist will work collaboratively on multidisciplinary teams to develop or improve single-cell methodologies for the analysis of cell regulatory and signaling networks; use models to test how the genomic and epigenomic diversity affect pathophysiologic phenotypes, including in the context of development and cancer; develop new methodologies and technologies for the elucidation of biological mechanisms using systems biology approaches; and testing the interaction between the Master Regulator driven regulatory and signaling logic of the cell and small molecule inhibitors.
The candidate will be expected to participate in a highly collegial lab environment, training other lab members based on their expertise, participate in team science research, and become successful in writing successful grant proposals. The Califano lab has an outstanding record of placement for its former members ranging from academic position, including department chairs, to leading positions in industry, from group leader to chief scientific officer.
Qualifications
PhD in one of the following disciplines: molecular biology, immunology, genetics, epigenetics, biochemistry, or related science is required.
Additional work-related experience will be a plus.
A proven first-author publication track record is required to be considered for this position.
Familiarity with gene cloning, CRISP-mediated mutation, silencing, and over-expression, library preparation for single cell molecular profiling, and single cell CRISPR and CRISPRi/a -mediated gene manipulation is a must for this position.
At least passing familiarity with large genomic data set processing and with a variety of methodologies to dissect molecular interactions in the cell would be preferred.
Excellent communication and writing skills.
Associate Research Scientist (Computational) #125553
Description
Columbia University’s Department of Systems Biology is seeking multiple qualified candidates for senior level research positions of Associate Research Scientist (Computational) in Dr. Andrea Califano’s laboratory (http://califano.c2b2.columbia.edu/). Candidates should have outstanding scientific and postdoctoral 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.
Integration of quantitative analysis, high-throughput experimentation, and technology development is the hallmark of systems biology at Columbia. As such, the Associate Research Scientists will work collaboratively on multidisciplinary teams to develop or improve algorithms for the analysis of cell regulatory and signaling networks; use models to predict how the genomic and epigenomic diversity affect physiologic or pathologic phenotypes; and develop new methods and technologies for elucidating biological mechanisms at the systems level. The Califano lab has an outstanding record of placement for its former members ranging from academic position, including department chairs, to leading positions in industry, from group leader to chief scientific officer.
Qualifications
PhD in one of the following disciplines: computational biology, physics, computer science, mathematics, or related quantitative science is required, plus 2 to 3 years of postdoctoral research experience.
A proven first-author publication track record is required to be considered for this position.
Knowledge of standard computer languages, including R, Java, PERL, and C/C .
Familiarity with processing large genomic data sets and with a variety of reverse engineering techniques, including optimization-based, statistical, and integrative approaches.
Familiarity with network biology algorithms, including both network reverse engineering and analysis, as well as with the underlying biological knowledge related to transcriptional and post-translational interactions is critical to be considered for this position, as is in-depth knowledge of the foundations of machine learning and probability theory.
Excellent communication and writing skills.
Strong project management skills and demonstrated mentoring skills with students and postdocs.
Associate Research Scientist (Experimental) #125546
Description
The Califano Lab in the Department of Systems Biology at Columbia University, is seeking exceptionally qualified candidates for multiple senior level research positions of Associate Research Scientist (Experimental). Successful candidates will have outstanding scientific and postdoctoral credentials, extensive wet-bench and single cell technology development expertise and significant involvement in highly competitive research, leading to highly innovative, high-impact publications. The ideal candidates shall have outstanding scientific credentials, including first-author publications and conference presentations relevant to the field of single cell biology. Candidates possessing a strong background in single-cell technology development and methodologies—such as CROP-Seq, perturb-Seq, ATAC-Seq, CITE-Seq and single cell library generation and profiling—combined with expertise in disciplines such as cell and molecular biology, immunology, genetics, biochemistry and related sciences will be especially well suited. Familiarity with computational biology approaches would be a useful addition but is not needed to fulfill the requirements for this position, as appropriate training will be provided by the lab. The optimal candidate would also have significant experience and publications in systems biology, including familiarity with regulatory/signaling networks and spatial representation of cellular transcripts and proteins, to elucidate the molecular determinants of specific cellular phenotypes and associated mechanisms in cancer.
Integration of quantitative analysis, high-throughput experimentation, and technology development is the hallmark of the Department of Systems Biology at Columbia, especially in the Califano lab. As such, the Associate Research Scientist will work collaboratively on multidisciplinary teams to develop or improve single-cell methodologies for the analysis of cell regulatory and signaling networks; use models to test how the genomic and epigenomic diversity affect pathophysiologic phenotypes, including in the context of development and cancer; develop new methodologies and technologies for the elucidation of biological mechanisms using systems biology approaches; and testing the interaction between the Master Regulator driven regulatory and signaling logic of the cell and small molecule inhibitors.
The candidate will be expected to participate in a highly collegial lab environment, training other lab members based on their expertise, participate in team science research, and become successful in writing successful grant proposals. The Califano lab has an outstanding record of placement for its former members ranging from academic position, including department chairs, to leading positions in industry, from group leader to chief scientific officer.
Qualifications
PhD in one of the following disciplines: molecular biology, immunology, genetics, epigenetics, biochemistry, or related science is required, plus 2 to 3 years of postdoctoral research experience.
Additional work-related experience will be a plus.
A proven first-author publication track record is required to be considered for this position.
Familiarity with gene cloning, CRISP-mediated mutation, silencing and over-expression, library preparation for single cell molecular profiling, and single cell CRISPR and CRISPRi/a -mediated gene manipulation is a must for this position.
At least passing familiarity with large genomic data set processing and with a variety of methodologies to dissect molecular interactions in the cell would be preferred.
Excellent communication and writing skills.
Graduate Students
Students currently enrolled within a Master's or PhD program at the Center for Computational Biology and Bioinformatics (C2B2) or within the Department of Biomedical Informatics (DBMI) may further their educational pursuits by becoming a member of Dr. Califano's lab.