Position Summary

We are part of the Department of Systems Biology, the Department of Biochemistry and Molecular Biophysics, and the Motor Neuron Center at Columbia University Medical Center. We are interested in the RNA regulatory networks in the nervous system to understand the mammalian complexity manifested in evolutionary-developmental processes and several neuronal disorders. 

The lab takes a multidisciplinary approach that tightly integrates high-throughput biochemistry, genomics, and computational approaches. The Staff Associate will be responsible for projects related to investigating the crosslinking signatures from CLIP-seq. The work includes applying bioinformatics tools and software packages for sequence analysis, motif discovery, and other analyses in collaboration with the research group.

Duties 

• Apply bioinformatics tools and software packages for sequence analysis, motif discovery, and other analyses. Perform statistical analyses and develop computational methods. Employ available algorithms or packages for data analysis.
• Participate in regular project meetings, discussions, and presentations, providing updates on progress.
• Contribute to the preparation of scientific manuscripts, reports, proposals, and presentations.
•  Collaboration with external partners or collaborators, as necessary, to further the research objectives.

Functional Knowledge

Solid understanding of molecular biology, particularly in the areas of RNA biology, and protein-RNA interactions. Uses that knowledge to solve complex problems and find new perspectives. Interacts daily with scientists to provide technical expertise. (30%)

Problem Solving

Able to apply analytical skills to help problem-solve with senior staff associates and directors. (20%)

Decision Making/Autonomy

Work independently and as part of a collaborative research team. Expected to show a medium level of initiative and independent judgement. (10%)

Technical Expertise

Required to develop and implement bioinformatics pipelines for the analysis of CLIP-seq data. Strong background in programming languages such as Python, R, or similar, with expertise in analysis. (20%)

Communication

Strong communication skills, both written and verbal. Contributing to the preparation of scientific manuscripts, reports, proposals, and presentations. (20%)

Minimum Qualifications

• Bachelor's degree in specific research field and 4 years experience preferred

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.

About Columbia University

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.

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