The Bioinformatics Analyst partners with clients to design, develop, implement and maintain business solutions regarding data management and analysis. This includes database administration, data consolidation, data analysis and management reporting. Utilizes software to generate metrics and develops actionable recommendations. This position collaborates with various function teams such as marketing, research, and IT to achieve business results.
The Bioinformatics Analyst will work in the Quantitative Data Sciences Core of the Cancer Center performing basic and advanced analyses in cancer informatics using current open source software and by developing new analytical tools and pipelines.
The successful candidate will have a background in bioinformatics, biostatistics, and/or cancer biology and have software development experience, at least to the level of developing scripts for processing data in languages such as Perl, Python, and/or R. The candidate must be comfortable working in a Linux/Unix environment. Typical data sets include RNA-seq, ChIP-seq, Exome-seq, and whole genome sequencing.
- 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; OR appropriate combination of education and experience.
- 4 years data analysis/report writing or similar experience required.
- Experience with the following:
- Programming Languages and Frameworks: Perl, Python, Shell Scripting
- Analytical: critical thinking, data mining, data modeling, judgment, metadata creation and management, problem solving, Troubleshooting.
- Project: collaboration and teamwork, organizational skills, planning
- Demonstrated ability to learn about new technologies.
- Demonstrated ability in working with open source bioinformatics software and publically available databases.
- 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.
- Two to three years of relevant work experience in analyzing next generation sequencing data from projects involving RNA-seq, ChIP-seq, and/or variant analysis.
- Experience in computing in a Linux/Unix environment.
- Experience in at least 1 scripting language such as perl, python, or shell scripting.
- Willingness and capability to share knowledge with other members of the team.
- BS or MS in Bioinformatics, Biostatistics or Statistics with a cancer biology background.
- Experience in Cancer Informatics.
- Experience with high-dimensional data mining and machine learning.
- Experience working in an academic or health care computing environment.
- Ability to solve complex bioinformatics problems.
- Record of taking the initiative to solve problems and working with high standards.
- Familiarity with 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.