As a postdoctoral research fellow, this position will be responsible for developing and executing research plans designed in collaboration with a talented team of faculty, postdocs, and graduate students. While this position reports directly to Dr. James Costello in the Department of Pharmacology, this position will be in collaboration with the labs of Drs. Greene and Pividori in the Department of Biomedical Informatics. This position will be funded through a grant supported by the NIH, INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE) Project. The ideal candidate will have a background in multi-omic data processing, analysis, and modeling, with a strong interest in understanding molecular mechanisms of disease. Research plans will include the development of novel computational/biostatistical/machine learning methods for the integration of multiple, diverse dataset and the synthesis of hypotheses around the molecular mechanisms that drive the co-occurring condition of interest. It is expected that this position will publish academic research articles and contribute to lab efforts in mentoring students, grant writing, and manuscript review.
Key Responsibilities:
-Develop collaborative research projects with the research team from the Costello, Greene, and Pividori labs.
-Develop novel computational methods and models to disentangle the link between the triplication of chromosome 21 and co-occurring conditions in Down syndrome.
-Write research manuscripts for publication in top journals.
-Present research findings at local, national, and international conferences and meetings.
-Supervise and mentor graduate students on the research projects developed in this position.
Minimum Requirements:
-Applicants must meet minimum qualifications at the time of hire.
-Graduation from an accredited college or university with a PhD in one of these fields of study: Computational Biology, Bioinformatics, Biomedical Informatics, Computer Science, Physics, Engineering, or an equivalent degree.
-The successful completion of a research project as evidenced by at least one first-authored and published manuscript.
Preferred Qualifications:
-Proven experience in methods development for multi-omic data analysis
-Proven experience in disease research
-A track record in Down syndrome research
-Demonstrated ability to train researchers in bioinformatics skills and techniques
-A track record of contributions to proposals for research funding
-A track record of public speaking for presenting research findings in an academic setting
-Interest in developing new analytical workflows for emerging technologies (e.g., multiplexed ion beam imaging or single cell technologies)
Applications must be submitted here: cu.taleo.net/careersection/2/jobdetail.ftl?job=39967&lang=en