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Lead Bioinformatician - Genomics
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-10-02
Listing for:
Placements24
Full Time
position Listed on 2026-10-02
Job specializations:
-
Research/Development
Data Scientist -
IT/Tech
Data Scientist
Job Description & How to Apply Below
Our client is looking for a visionary Lead Bioinformatician to spearhead their genomics research initiatives in George . This critical role involves developing and implementing advanced computational strategies to analyze large-scale genomic datasets, uncovering insights that drive drug discovery and personalized medicine. You will lead a team of bioinformaticians, foster innovation in computational biology, and collaborate closely with experimental biologists and clinicians.
The ideal candidate is a seasoned expert in bioinformatics with a deep understanding of genomic technologies and a proven ability to translate complex biological questions into actionable computational solutions, shaping the future of genetic research.
- Lead the design and execution of computational analyses for high-throughput sequencing data (e.g., whole-genome, exome, RNA-seq).
- Develop and maintain robust bioinformatics pipelines and algorithms for data processing, variant calling, and functional annotation.
- Manage and mentor a team of bioinformaticians, fostering a collaborative and innovative research environment.
- Collaborate with experimental scientists to interpret genomic findings and integrate them with other biological data types.
- Contribute to grant writing and manuscript preparation, showcasing research findings to the scientific community.
- Ensure data integrity, quality control, and efficient storage of large genomic datasets.
- Ph.D. in Bioinformatics, Computer Science, Computational Biology, or a related quantitative field.
- Minimum of 7 years of progressive experience in bioinformatics, with a focus on genomics.
- Proficiency in programming languages such as Python, R, and shell scripting, along with experience in statistical software.
- Expertise in using high-performance computing (HPC) clusters and cloud computing platforms.
- Strong understanding of statistical genetics, population genetics, and machine learning applications in biology.
- Excellent leadership, communication, and problem-solving skills are essential for success in George .
- Highly competitive salary and comprehensive benefits package.
- Generous annual leave and flexible working hours.
- Opportunities to attend and present at international conferences.
- Access to cutting-edge computational resources and collaborations.
- A supportive and intellectually stimulating work environment for pioneering genomic research.
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