Postdoctoral Research Scientist
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Position offers solid opportunities in systems biology focusing on computational research, though less stability owing to project-driven funding.
- High relevance in computational systems biology research
- Interdisciplinary collaboration opportunities
- Engagement with cutting-edge technology in research
Pros
- Research in a rapidly evolving field with high relevance
- Opportunity for interdisciplinary collaboration
- Potential for impactful research publications
Cons
- Dependent on external grants for funding and stability
- High expectations for research output and teamwork
- May require extensive project management skills
Who it's for
Postdoctoral • On-site
Good fit
- PhDs in computational biology or related fields
- Candidates interested in integrating biology with computational methods
- Researchers seeking dynamic collaboration
Not recommended for
- Those lacking research experience in computational sciences
- Individuals who prefer working independently
- Entry-level candidates without advanced qualifications
Motivation fit
Key skills
About the job
Position Summary
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 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.
Minimum Degree Required:
- A Ph.D. in one of the following disciplines: computational biology, computer science, mathematics, physics or related quantitative science is required. A proven first-author publication track record is required to be considered for this position.
Preferred Qualifications:
- 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.
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.
