The Center for Cancer Research is an NCI-designated cancer center. The center is a catalyst for collaborative cancer research around Purdue University. In this role, the selected individual will have the opportunity to cooperate with Purdue faculty and students in performing cutting-edge research and analyses, with opportunities for professional development, and the possibility of co-authorship in faculty research publications. Projects will be challenging, including various model organisms, and we are looking for an individual who is excited about interacting with multi-disciplinary cancer research groups and the development of new tools, techniques, and workflows. Independently perform both routine and project-specific analyses, advise faculty on the design of experiments, writing manuscripts for publication, and writing grant proposals. Interact and collaborate with bioinformatics services (i.e. Statistical Consulting Center to provide relevant services to the campus research community), where applicable. Support all of the bioinformatics activities of the Center for Cancer Research at Purdue University Required:
Master's degree in bioinformatics, computer science, molecular biology, or related field One year of experience in analyzing RNA-Seq data In lieu of a degree, consideration will be given to an equivalent combination of related education and required work experience. Understanding of molecular biology, biochemistry, and genetics Proficiency in writing scripts using Perl, Python, Java, or equivalent languages Proficiency in R and UNIX/LINUX Knowledge of genomics, alignment, annotation, bioinformatics, concepts of sequence assembly Highly motivated and detail-oriented Ability, interest, and curiosity to learn new skills Must possess strong communication skills to work effectively with users across disciplines Ability to work independently and as part of a multi-disciplinary team Strong visual, verbal, and written communication skills Excellent time organizational skills Preferred:
Experience writing software or building software pipelines Experience with oncology-specific public databases including TCGA Experience with deploying and/or running software on high-performance computational systems Statistical and experimental design knowledge Additional Information:
This position is contingent on the availability of funding Purdue will not sponsor employment authorization for this position A background check will be required for employment in this position FLSA: Exempt (Not Eligible For Overtime) Retirement Eligibility: Defined Contribution Waiting Period Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply