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.
We are looking for an enthusiastic and energetic individual to join our research effort investigating genetic, molecular, and behavioral variation in brain disease, aging, and neurodegeneration. This position will be the main contact for primary bioinformatics analysis of next-generation sequencing, imaging, and proteomics data, and will work with a variety of experimental and computational investigators in the department as part of cutting-edge collaborations using the latest large-scale ???omics technologies. Successful candidates will implement, refine, and develop analytical and machine learning methods for large-scale data sets currently being generated from human brain tissue samples.
The successful candidate will be part of an integrated team of neurologists, data scientists, cellular biologists, and human immunologists who come together to perform team-based projects in the Center for Translational and Computational Neuroimmunology. The position therefore offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects.
Application and inquiries should be submitted by e-mail to Vilas Menon at firstname.lastname@example.org. Along with your CV, please include a cover letter describing previous work, research interests, and future goals. Please provide contact details for 2 references.
Implement, refine, and/or develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale transcriptomic and protein data using state-of-the-art technologies.
Contribute to QA/QC of pilot and production data sets.
Develop analysis workflows to answer targeted questions about changes in molecular profiles in aging and AD in human and model systems.
Display initiative and independence in providing rapid results to various investigators generating experimental data.
Prepare summary reports of data and results for dissemination to colleagues and collaborators.
Actively participate in the preparation of manuscripts for publication and presentations at scientific conferences.
Directly respond to inquiries regarding projects being managed. Produce subsets of data for distribution to collaborators as approved by the principal investigators.
Requires bachelor???s degree or equivalent in education and experience, plus four years of related experience.
Masters Degree or PhD in bioinformatics, computer science, computational biology, applied mathematics, statistics, biostatistics, physics, or related area.
Quantitative background (Computer Science, Statistics, Bio-statistics, Computational Biology, Applied Mathematics or Bioinformatics), and extensive experience in building and maintaining computational pipelines for processing sequencing and other types of data.
Good knowledge of programming languages for implementing computational algorithms on large-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms.
In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics).
Will receive on-the-job training for other data modalities under the supervision of computational investigators in the department.
Demonstrated programming skills.
Demonstrated experience with building pipelines for at least one ???omics??? data modality (genetics, transcriptomics, epigenetics, proteomics).
Strong organizational skills in managing large datasets.
Programming experience in R, Python, Perl, or C/C++.
Ability to work independently, display initiative within a team environment, and respond rapidly to requests.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
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.