This role partners with clients to design, develop, implement and maintain business solutions regarding data management and analysis. This includes statistical/computational genetics/bioinformatics analyses and data mining of large genomic, transcriptomic, proteomic or metabolomic data sets in the context of systems genetics. Utilizes software to generate metrics and develops actionable recommendations. Collaborates with various function teams such as marketing, research, and IT to achieve business results.
The Bioinformatics Analyst Works with faculty and researchers in the lab to design, develop, implement strategies for data management and analysis. This includes managing , database administration, data consolidation, and performing basic and advanced analyses of data sets using current open source software and by developing new analytical pipelines for NGS data sets including WGS, WES, ChIP-seq, HLA typing, variant analysis, genome-wide association analysis (GWAS), RNA-seq, quantification of transcript abundances, eQTL mapping, and construction of genetic and transcriptional interaction networks. The successful candidate will have a background in bioinformatics, biostatistics or computational genetics and experience working in a Linux/Unix environment and developing scripts for processing data in languages such as Perl, Python, JAVA, C++ and/or R.
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.
Reviews reports before presentation to ensure quality and accuracy.
Develops and maintains documentation of process for quality assurance and reporting methodology
Defines, develops and communicates new standards and best practices.
Develops queries and quality metrics.
Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
Determines data structure for local datasets.
Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
Ensures quality and compliance by reviewing reports
Provides work direction and/or supervises staff such as team members, subordinates, contractors, vendors, students, etc.
Recommends staff hires/terminations.
Coaches and mentors staff.
Manages projects ensuring timelines and deliverables are met and meet expectations.
Performs other duties as assigned.
Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree in biostatistics, bioinformatics or computational genetics; OR appropriate combination of education and experience.
4 years data analysis/report writing or similar experience required.
Infrastructure (extends across applications)
Linux Operating System
Mac OS X Operating System
Programming Languages and Frameworks
C++ and/or R
Metadata creation and Management
Collaboration and teamwork
Iterative & Incremental Development
Workflow development & documentation
Write proposals and project charters
Action oriented - Willing or likely to take practical action to deal with a problem or situation.
Coachability - Receptive to feedback, willing to learn, embracing continuous improvement.
Collegiality - Helpful, respectful, approachable; builds strong working relationships and a positive work environment.
MS in Bioinformatics, Biostatistics, or Computational Genetics with a biology background.
Two to three years of relevant work experience in analyzing array data and/or next generation sequencing data from projects involving RNA-seq, ChIP-seq, WES, WGS, GWAS and/or variant analysis.
Record of taking the initiative to solve problems and working with high standards.
Ability to solve complex bioinformatics problems.
Familiarity with bioinformatics software versioning tools.
As per Northwestern University policy, this position requires a criminal background check. Successful applicants will need to submit to a criminal background check prior to employment.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
Internal Number: 33175
About Northwestern University
Northwestern University is a major private research university with 12 academic divisions located on three campuses in Evanston, Chicago, and Education City in Doha, Qatar. We have approximately 2,500 full-time faculty members, 17,000 graduate and undergraduate students, and over 5,700 full and part-time staff. Northwestern University combines innovative teaching and pioneering research in a highly collaborative environment. It provides students and faculty exceptional opportunities for intellectual, personal and professional growth.