Staff Scientist - Translational Bioinformatics
- Employer
- City of Hope
- Location
- Duarte, CA
- Salary
- $34.96 - $118.63 / hour
- Closing date
- Feb 27, 2024
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- Discipline
- Life Sciences, Bioinformatics
- Position Type
- Full Time
- Organization Type
- Healthcare/Hospital
Job Details
The collaborative research in the Bild and Nath labs focuses on translational cancer systems biology. The overarching goal of our labs is to develop and validate effective treatment strategies against drug resistant tumors. We are seeking a talented and motivated Bioinformatics Staff Scientist to join our dynamic team. As a Bioinformatics Staff Scientist, you will play a key role in analyzing and interpreting complex biological data, integrating multi-omics datasets, and developing innovative computational methods to extract meaningful insights. Your work will contribute to advancing our understanding of diseases, identifying potential therapeutic targets, and facilitating the development of personalized medicine approaches. For more information about Dr. Nath's research, please visit here .
As a successful candidate, you will:
- Perform bioinformatics analysis on high-throughput genomic and transcriptomic data.
- Develop and apply computational algorithms and statistical models for data analysis and interpretation.
- Integrate and analyze multi-omics datasets to identify patterns, correlations, and potential biomarkers.
- Collaborate with cross-functional teams including biologists, mathematicians, and medical oncologists to design and execute bioinformatics projects.
- Stay up to date with the latest advancements in bioinformatics and genomics research.
- Contribute to the development of data analysis pipelines and software tools.
- Present findings and results to internal teams and external stakeholders in a clear and concise manner.
- Publish research outcomes in scientific journals and present at conferences.
Your qualifications should include:
- Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field.
- Strong expertise in analyzing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Experience with bioinformatics tools and databases (e.g., NCBI GEO, Ensembl, UCSC Genome Browser).
- Familiarity with machine learning (AI/ML) algorithms and their applications in bioinformatics.
- Preferred qualifications: Single-cell RNA sequencing (scRNA-seq) data analysis. Cancer genomics knowledge and cloud computing familiarity. Please include your GitHub link on your CV.
City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity and inclusion, please click here .
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Company
City of Hope, an innovative biomedical research, treatment and educational institution with over 5,000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.
Founded in 1913 and headquartered in Duarte, California, City of Hope is a remarkable non-profit institution, where compassion and advanced care go hand-in-hand with excellence in clinical and scientific research. City of Hope is a National Cancer Institute designated Comprehensive Cancer Center and a founding member of the National Comprehensive Cancer Network, an alliance of the nation’s 20 leading cancer centers that develops and institutes standards of care for cancer treatment.
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