The Department of Biochemistry and Molecular Genetics in Feinberg School of Medicine is seeking Bioinformaticians for the Shilatifard lab to support current Next Generation Sequencing projects with datasets including ChIP-seq, Total RNA-seq, Nascent RNA-seq, and GRO-seq.
Specific Responsibilities:
Strategic Planning:
Administration:
Development:
Minimum Qualifications:
Preferred Qualifications:
For more information, and to apply, please see the job announcement.
Specific Responsibilities:
Strategic Planning:
- Manages and plans for data/analysis requests and projects.
- Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
- Collaborates with technical staff explaining needs of functional users. Serve on committees related to data structure and governance.
Administration:
- Reviews reports before presentation to ensure quality and accuracy.
- Defines, develops and communicates new standards and best practices.
- Prepares manuscripts on related data analysis.
- Management of the related data produced at the Core Facility.
Development:
- Determines data structure for local datasets.
- Supports current Next Generation Sequencing projects with datasets including ChIP-seq, Total RNA-seq, Nascent RNA-seq, and GRO-seq.
Minimum Qualifications:
- Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
- 4 years’ data analysis/report writing or similar experience required.
- Experience with Linux Operating System.
- Experience with the following programming languages: Perl, Python, Shell Scripting
- Demonstrated ability to learn about new technologies.
- Demonstrated ability in working with commercial software.
- Outstanding interpersonal skills and ability to work with individuals and groups.
- Ability to multitask, work and learn independently, and be self-motivated.
- A record of taking the initiative to solve problems and working to high-quality standards.
Preferred Qualifications:
- Master's degree in Bioinformatics, Biostatistics or Computer Science with biology background.
- Proficient in Unix, with experience R, Python or Perl.
- Background in statistics is preferred.
- Willingness and capability to share knowledge with other members of the team.
- Record of taking the initiative to solve problems and working with high standards.
- Outstanding interpersonal skills.
- Familiarity with software versioning tools.
For more information, and to apply, please see the job announcement.