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Bioinformatics Specialist- Pancreatic Cancer Program
Job Details
- Job Ref:
- 10035923
- Location:
- Duarte, CA 91009
- Category:
- Clinical Research
- Job Type:
- Full-time
- Shift:
- Days
- Pay Rate:
- $37.11 - $57.52 per hour
Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.
As a successful candidate, you will:
· Lead and support diverse genomics research projects, performing advanced bioinformatics and statistical analyses of large-scale sequencing datasets, including Illumina and PacBio platforms.
· Translate complex data into clear scientific insights by developing visualizations, presentations, figures, and manuscript content for publication and stakeholder communication.
· Evaluate and implement innovative analytical methods and data-mining approaches to advance genomic research objectives.
· Manage multiple concurrent projects, establishing timelines, tracking progress, and adapting priorities to meet evolving research needs.
· Train and support team members in the use of specialized bioinformatics software, databases, and analytical tools, promoting knowledge sharing and operational efficiency.
· Maintain project documentation, reports, and records while actively contributing to meetings, professional development activities, and special initiatives that support departmental goals.
Qualifications
Your qualifications should include:
· Master’s Degree or Ph.D. Degree in Bioinformatics, Computer Science, Mathematics, Statistics. Equivalent Experience preferred.
· 3+ years of relevant experience in applying statistical and computational methods to the analysis and visualization of complex genomics data.
· Strong expertise in genomic data analysis, integration, and data mining across diverse datasets, including RNA-seq, Exome-seq, single-cell RNA-seq, and other NGS platforms.
· Proficient in R/Bioconductor and Python programming, with experience using additional languages such as Perl, Java, and C++ for bioinformatics applications.
· Experienced in analyzing next-generation sequencing data from platforms including Illumina HiSeq/MiSeq and PacBio SMRT sequencing.
· Skilled in utilizing biological databases (e.g., GEO, TCGA) and genomic analysis tools such as BWA, STAR, IGV, GATK, ANNOVAR, VARSCAN, and IPA.
· Strong foundation in statistical analysis, molecular biology, and data visualization, with proficiency in spreadsheet, graphics, and word-processing software.
City of Hope is an equal opportunity employer.
To learn more about our Comprehensive Benefits, please CLICK HERE.