Lab Technician Jobs

A lab technician position is available at the University of California, Irvine in the laboratory of Dr. Stanley Ng. The successful candidate will contribute to the generation of multiple datasets from biological tissues, including spatial and single-cell gene, protein, mutational, methylation, and other data types. Bioinformatic pipeline development and downstream analyses will be performed to identify molecular features of tissue clones that are predictive of disease development/progression, malignant transformation, and treatment-specific resistance. These studies will facilitate the identification of novel risk markers and therapeutic targets. The development of biofluid-based molecular risk and treatment response predictors using statistical models will also be investigated.

Total Compensation:

$25.88 - $30.79 (Hourly Rate)

Required:

Graduation from high school or a General Education Diploma and three years of laboratory experience or two years of college including courses in the natural, physical or social sciences and two years of laboratory experience; or an equivalent combination of education and experience; and knowledges and abilities essential to the successful performance of the duties assigned to the position. Applicants who hold at least Bachelor degree in a computational and/or biology related discipline will be given preference for this position. Candidates should have some experience in a dry-lab and/or wet-lab setting. Dry-lab experience can include the analyses of next-generation sequencing data and statistical modelling of high-dimensional datasets. Wet-lab experience can include sample prep for spatial omics, single-cell, and/or next-generation sequencing. Successful candidates will be expected to carry out lab tasks while providing general research support for other lab members and external personnel including bioinformaticians, biologists, clinicians, and other scientists as appropriate to achieve scientific goals of lab projects. Our lab employs bleeding-edge computational platforms and state-of-the-art omics technologies. UC Irvine is a world-class research university with highly ranked graduate programs in biomedical sciences. Our Southern California location is home to one of the largest academic research and biotechnology hubs in the US. Lab members enjoy direct access to this outstanding community of clinicians and scientists, as well as the wide range of recreational activities available in our region. Successful candidates will join an interdisciplinary and highly collaborative team working to develop the next generation of tools and technologies to advance precision diagnostics and therapeutics.

• Some experience with sample preparation for next-generation sequencing, and/or bioinformatics analyses of sequencing data using R, Python, and/or other programming languages • Ability to communicate effectively and collaborate as part of a multidisciplinary team • Ability to keep organized lab notes

Preferred:

• A Bachelor degree or higher in a computational and/or biology related discipline will be given preference for this position • Experience working in a research environment and named in scientific publications • Experience in technical writing • Proficiency in R, Python, and/or other programming languages, and familiarity with working in a Linux-based high-performance computing environment • Formal training and expertise in statistical model development and the analysis of large high-dimensional datasets, including next generation sequencing datasets • Experience with sectioning, fixing, and staining tissues for histology imaging, laser capture microdissection, and sample prep for (single-cell and spatial) sequencing • Expertise with ATAC-Seq, methylation profiling, genome/exome/targeted sequencing, mutation calling, single-cell analysis, RNA-Seq, proteomics, biofluids analysis, spatial technologies from 10X, NanoString, Akoya BioSciences, or similar • Expertise in machine learning and mathematical/statistical inference (e.g., image classification using deep neural networks, reinforcement learning, regularized regression and classification models, clustering, optimization) • Experience with multi-omic data generation and integrative analysis (e.g., 10X Multiome, Mission Bio Tapestri, custom-built computational pipelines) • Expertise with multi-core/multi-threaded parallelization using GPU-based hardware acceleration or similar • Experience with building highly distributable software (e.g., R packages, Python modules, Linux-based command-line tools, C programs, MATLAB applications, GitHub)

Conditions of Employment:

The University of California, Irvine (UCI) seeks to provide a safe and healthy environment for the entire UCI community. As part of this commitment, all applicants who accept an offer of employment must comply with the following conditions of employment:

• Background Check and Live Scan
• Smoking and Tobacco Policy
• Vaccination Policies
• Legal Right to work in the United States
• Drug Free Environment

The following additional conditions may apply, some of which are dependent upon business unit or job specific requirements.

• California Child Abuse and Neglect Reporting Act
• Pre-Placement Health Evaluation
• E-Verify

Details of each policy may be reviewed by visiting the following page - https://hr.uci.edu/new-hire/conditions-of-employment.php

Closing Statement:

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.

We are committed to attracting and retaining a diverse workforce along with honoring unique experiences, perspectives, and identities. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming.

UCI provides reasonable accommodations for applicants with disabilities upon request. For more information, please contact Human Resources at (949) 824-0500 or [email protected].