About the Job
We are seeking a highly motivated and creative bioinformatics research analyst to join the team of Dr. Kim Nichols in the Division of Cancer Predispositon at St. Jude Children's Research Hospital. The bioinformatics analyst will develop and apply innovative analytical approaches in the area of cancer genetics and functional genomics and have the unique opportunity to help carry out research studies that focus on known hereditary forms of childhood cancer and discovery of new causes for familial cancers.
You will work closely with research team members to analyze data such as WES, WGS, bulk and single cell RNA seq,Cut&Run seq and ATAC seq data, to identify novel cancer predisposition genes and interrogate their biological function. You will develop, improve, modify, and operate data analysis pipelines, generate and provide analysis results and reports, and perform requested custom analyses.
The department provides a highly interactive environment with collaborative opportunities, access to high performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines and mentorship from scientists with interests experience in data analysis, data management and delivery of high-quality results. The Division of Cancer Predisposition supports strong teamwork as well as individual and personal growth.
Candidates with a strong background and interest in genetics, cancer biology, hematopoiesis, and experience with use of genetic approaches to understand disease pathogenesis are highly encouraged to apply for this position. Familiarity with statistical genetics/genomics software including MERLIN, PLINK, GATK, EdgeR, samtools is preferred. This position is a forecasted position located in Memphis, TN, and relocation assistance is available.
- Bachelor's degree is required. Master's degree or PHD is preferred
- Two (2) years of relevant experience is required.
- No experience may be acceptable with a Master's degree in Computer Science or Bioinformatics, with a background in the biological sciences.
- Experience in programming (Python, Java, C/C++, perl or other programming/scripting languages) under Linux/Unix environment is required.
- Experience of data analyses under supervision is required.
- End user support and training experience is preferred.
- Experience with open source software development is preferred.
- Experience in development of algorithms, statistical methods or scientific software is preferred.
- Experience in next-generation sequence analysis is preferred.
- Experience working on a team project is preferred.
- Scripting experience using a statistics package such as R, S-Plus or SAS is preferred
Salary is highly competitive (comparable to industry) and employee benefits are outstanding. Relocation assistance is available. Working at St. Jude provides the opportunity to make a tangible difference to pediatric cancer patient care and survival and St. Jude has been consistently ranked in Fortune magazine’s “100 Best Places to Work” list and is exceptionally positively reviewed on GlassDoor.