University of California - Irvine

The Center for Epigenetics and Metabolism at UCI is seeking a highly skilled and motivated Computational Biologist to join our dynamic team.. This position offers an exciting opportunity to work at the intersection of biology, computational biology, and data science, to make significant contributions to our understanding of genomic regulation.. -Stay abreast of latest advancements in genomics, computational biology, and bioinformatics, and apply emerging technologies to enhance pipeline efficiency and accuracy.. Preferred candidates will demonstrate (1) a proven track record of developing and/or implementing high-throughput genomics pipelines (2) a strong proficiency in programming languages such as Python, R, or Perl (3) expertise in next-generation sequencing (NGS) data analysis (4) experience with statistical analysis, machine learning, and data visualization techniques (5) excellent communication skills and ability to collaborate effectively with interdisciplinary teams.. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and parallel computing frameworks, genomic databases, annotation resources, pathway analysis tools, regulatory genomics, epigenetics, and chromatin biology is desired.

computational biology

Position overview Salary range:
A reasonable estimate for this position is $71,500-$188,400. See Project Scientist Series - Represented Fiscal Year. Application Window Open date: March 14, 2024 Next review date: Tuesday, Apr 30, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Thursday, Mar 13, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description
The Center for Epigenetics and Metabolism at UCI is seeking a highly skilled and motivated Computational Biologist to join our dynamic team. The successful candidate will lead efforts in developing and implementing high-throughput genomics pipelines to dissect the functions of the noncoding genome. This position offers an exciting opportunity to work at the intersection of biology, computational biology, and data science, to make significant contributions to our understanding of genomic regulation. This individual will join an innovative group of computational and experimental biologists where team-oriented approaches are prioritized to tackle significant questions in health and disease. This position will collaborate with computational students and fellows within the Marazzi and Seldin labs on a variety of current genomics applications and tools. Examples of research goals include in-depth characterizations of the non-coding genome, integrative surveys of datasets generated from new technologies (long read sequencing or spatial omics approaches) and examination of large-scale publicly available datasets such as ENCODE. Key Responsibilities include: -Lead the design, development, and optimization of high-throughput genomics pipelines for analyzing noncoding DNA/RNA sequences. -Collaborate closely with experimental biologists and bioinformaticians to integrate multi-omics data. -Apply advanced computational techniques, such as machine learning algorithms, and statistical methods to uncover regulatory elements and functional motifs within the noncoding genome. -Implement best practices for data quality control, processing, and analysis, ensuring reproducibility and reliability of results. -Stay abreast of latest advancements in genomics, computational biology, and bioinformatics, and apply emerging technologies to enhance pipeline efficiency and accuracy. -Mentor junior team members, provide technical guidance, and contribute to a collaborative and innovative research environment. Preferred candidates will demonstrate (1) a proven track record of developing and/or implementing high-throughput genomics pipelines (2) a strong proficiency in programming languages such as Python, R, or Perl (3) expertise in next-generation sequencing (NGS) data analysis (4) experience with statistical analysis, machine learning, and data visualization techniques (5) excellent communication skills and ability to collaborate effectively with interdisciplinary teams. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and parallel computing frameworks, genomic databases, annotation resources, pathway analysis tools, regulatory genomics, epigenetics, and chromatin biology is desired. Department : https://www.biochem.uci.edu
Program : https://cem.medschool.uci.edu Qualifications Basic qualifications (required at time of application)
A doctoral degree (e.g., Ph.D., M.D.) or the foreign equivalent is required. Application Requirements Document requirements
Cover Letter Curriculum Vitae - Your most recently updated C.V. Misc / Additional (Optional) Sexual Misconduct, Harassment and Discrimination Declaration Form - All applicants of academic positions at the University of California, Irvine must download, complete, sign, and upload the following form with their application: Sexual Misconduct, Harassment and Discrimination Declaration Form Reference requirements 3 required (contact information only) Apply link:
https://recruit.ap.uci.edu/JPF08909 About UC Irvine
The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Job location
Irvine, CA
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