Hyde Park Campus
20146 Biochem/Mol Bio
About the Unit
The BSD Finance Group is a unit within the Biological Sciences Division Dean's Office. It currently contains a total staff of 11 people. This unit works closely with the Hospital and University finance offices, departments' management and finance team, other Dean's Office management and staff, and University Financial Services staff. The Biological Sciences Division (BSD) is the largest operating unit of the University of Chicago. It includes the Pritzker School of Medicine, twenty-three academic departments, twelve interdisciplinary degree-granting committees, and more than a dozen research centers and institutes. Our mission is to discover and create new knowledge of living systems, to preserve and communicate knowledge through education, and to nurture and sustain a community of scholars. These scholars pursue this mission through research, the education of basic scientists, physicians, and others interested in living things, and through enlightened and compassionate care of patients in a humane, academic environment. We have a long and rich history of discovery. Our academic departments have each developed and sustained outstanding programs of research and training in a broad range of programs. These are further enhanced by interdisciplinary committees, centers, and institutes. Unique among our peers, our Pritzker School of Medicine and basic biological science programs are housed in one division, allowing for strong collaborations between basic science and clinical research. Faculty, staff and students interact across programs and disciplines, creating collaborative and innovative approaches to the study of complex problems.
The staff scientist will perform computational studies and bioinformatics analysis of biological systems. The position requires working experience and demonstrated productivity in publications in high throughput sequencing, RNA structure, RNA-protein interaction, and genome-wide association. The position also requires prior experience and demonstrated productivity in publications in studying messenger RNA modifications.
This at-will position is wholly or partially funded by extramural funds (e.g., grant, gift, endowment) which is renewed under provisions set by the grantor. Employment will be contingent upon the continued receipt of these extramural funds and your satisfactory job performance. If the position is eliminated due to the discontinuation of extramural funding, you will be given a minimum of one pay period's written notice (if exempt: 30 days, if non-exempt: 2 weeks), or pay in-lieu of notice.
- Bioinformatics analysis of RNA sequencing.
- Bioinformatics analysis of RNA modifications.
- Computational analysis of RNA structure.
- Computational analysis of RNA folding.
- Computational analysis of RNA-protein interactions.
- Application of machine learning for RNA sequencing technology development.
- Genome-wide association (GWAS) studies on human genome variations.
- Expertise in high throughput sequencing data analysis.
- Expertise in transcriptome-wide analysis of RNA structure and folding.
- Expertise in RNA-protein interactome analysis.
- Expertise in machine learning approach for biological systems.
- Expertise in genome-wide association analysis.
Education, Experience, and Certifications:
- PH.D. in computer science required.
- Minimum 5 years experience in high throughput sequencing analysis required.
- Minimum 5 years experience in RNA structure studies required.
- Minimum 5 years experience in RNA modification studies required.
- Minimum 5 years experience in machine learning approaches required.
- Curriculum Vita
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
Depends on Qualifications
Scheduled Weekly Hours
Job is Exempt?
Drug Test Required?
Does this position require incumbent to operate a vehicle on the job?
Health Screen Required?
Remove from Posting On or Before
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