Open Rank: Staff Associate 1, Staff Associate II, or Staff Associate III - Research Programmer / Computational Biologist
New York, NY
Full-time
Onsite
1 month ago
About the role
OverviewWe are seeking a motivated Research Programmer / Computational Biologist to join the laboratory of Dr. Chaolin Zhang in the Department of Systems Biology at Columbia University Irving Medical Center (CUIMC) .
The Zhang Laboratory takes a multidisciplinary approach that integrates biochemistry, molecular biology, genome engineering, high-throughput data analysis, and integrative modeling to study protein-RNA interaction, neuronal alternative splicing regulation and RNA-based precision medicine.
The Zhang Lab is a diverse, collaborative, and creative research environment committed to scientific rigor, innovation, and mentorship. More information can be found at:http://zhanglab.c2b2.columbia.edu
The successful candidate will participate in and lead projects focused on improving, extending, and sustaining genomic research software packages developed by our group, such as:
· CLIP Tool Kit (CTK)
· Quantas
· DeltaSplice
These tools are widely used by the research community for CLIP-seq and RNA-seq data analysis:https://zhanglab.c2b2.columbia.edu/index.php/Resources
The position emphasizes software engineering , user community engagement , and genomic data analysis in a dynamic and collaborative research environment. Strong mentorship will be provided to support the candidate’s scientific and career development.
Key Responsibilities· Develop, modernize, and maintain bioinformatics software for CLIP-seq and RNA-seq analysis
· Improve software usability, documentation, and reproducibility
· Build and support an active user community
· Perform genomic data analysis and pipeline development
· Collaborate with experimental and computational researchers
Required Qualifications· Bachelor’s or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related field
· Strong programming skills (Python and/or Perl preferred)
· Experience working in Linux/Unix environments
· Familiarity with version control systems (e.g., Git)
· Interest in scientific software development and community engagement
Preferred Qualifications· Experience with genomic data analysis (e.g., CLIP-seq, RNA-seq)
· Knowledge of NGS pipelines and file formats (FASTQ, BAM, BED, GTF)
· Experience with Docker, Singularity, or workflow systems
· Experience or strong interest in software engineering for scientific tools
Additional Opportunities
The candidate may also contribute to projects involving:· RNA-binding protein biology
· Splicing regulation
· Transcriptomics and post-transcriptional regulation
· RNA-based therapeutic development
Salary range $64,350-$80,000, depending on the experience level of the candidate
Application
Interested applicants should submit the following documents through email to Dr. Chaolin Zhang ([email protected]) or through interfolio (https://apply.interfolio.com/183746):· A CV
· A brief cover letter describing relevant experience and interests
· Contact information for 3 references
The Zhang Laboratory takes a multidisciplinary approach that integrates biochemistry, molecular biology, genome engineering, high-throughput data analysis, and integrative modeling to study protein-RNA interaction, neuronal alternative splicing regulation and RNA-based precision medicine.
The Zhang Lab is a diverse, collaborative, and creative research environment committed to scientific rigor, innovation, and mentorship. More information can be found at:http://zhanglab.c2b2.columbia.edu
The successful candidate will participate in and lead projects focused on improving, extending, and sustaining genomic research software packages developed by our group, such as:
· CLIP Tool Kit (CTK)
· Quantas
· DeltaSplice
These tools are widely used by the research community for CLIP-seq and RNA-seq data analysis:https://zhanglab.c2b2.columbia.edu/index.php/Resources
The position emphasizes software engineering , user community engagement , and genomic data analysis in a dynamic and collaborative research environment. Strong mentorship will be provided to support the candidate’s scientific and career development.
Key Responsibilities· Develop, modernize, and maintain bioinformatics software for CLIP-seq and RNA-seq analysis
· Improve software usability, documentation, and reproducibility
· Build and support an active user community
· Perform genomic data analysis and pipeline development
· Collaborate with experimental and computational researchers
Required Qualifications· Bachelor’s or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related field
· Strong programming skills (Python and/or Perl preferred)
· Experience working in Linux/Unix environments
· Familiarity with version control systems (e.g., Git)
· Interest in scientific software development and community engagement
Preferred Qualifications· Experience with genomic data analysis (e.g., CLIP-seq, RNA-seq)
· Knowledge of NGS pipelines and file formats (FASTQ, BAM, BED, GTF)
· Experience with Docker, Singularity, or workflow systems
· Experience or strong interest in software engineering for scientific tools
Additional Opportunities
The candidate may also contribute to projects involving:· RNA-binding protein biology
· Splicing regulation
· Transcriptomics and post-transcriptional regulation
· RNA-based therapeutic development
Salary range $64,350-$80,000, depending on the experience level of the candidate
Application
Interested applicants should submit the following documents through email to Dr. Chaolin Zhang ([email protected]) or through interfolio (https://apply.interfolio.com/183746):· A CV
· A brief cover letter describing relevant experience and interests
· Contact information for 3 references
Skills
Hospitals and Health Care