Research Programmer I (1 YR- Fixed Term)

USC University of Southern California

Los Angeles (CA)

Hybrid

USD 54,000 - 60,000

Full time

3 days ago
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Job summary

University of Southern California in Los Angeles seeks a Research Programmer I (Health Research) to provide programming and analytical support for large-scale human datasets and genomics data.

The role involves calculating variables, running analytical pipelines, and collaborating with core leaders to implement coding approaches. Expertise in R/Python and genomics data analysis is essential.

Qualifications

  • 2+ years coding with R or Python.
  • Experience analyzing human genomics data (GWAS/EWAS/TWAS).
  • Experience with high-performance computing (HPC) environments.

Responsibilities

  • Develop and document robust computational workflows and production pipelines for multi-omics analyses.
  • Create datasets, tables, analyses, and contribute to publications with other researchers.
  • Demonstrate and run workflows on command line and HPC clusters; maintain up-to-date methods.

Skills

R
Python
Genomics analysis
HPC

Education

MA/MS in Epidemiology
Biostatistics or related field

Job description

About The University

The University of Southern California (USC), founded in 1880, is located in the heart of downtown Los Angeles and is the largest private employer in the City of Los Angeles. USC is consistently ranked among the nation’s most prestigious universities, and the USC Leonard Davis School of Gerontology features one of the world’s best degree and research programs in gerontology. The USC Davis School has an international reputation as a hub of aging research and, with additional strong programs throughout the university leads the way in defining and advancing the field of gerontology. A 1-year Fixed Term Research Programmer I, Health Research position is available at the University of Southern California through the Bioinformatics Core in the Leonard Davis School of Gerontology.

The mission of the Gerontology Bioinformatics Core (GBC) is to facilitate the development of data analytic procedures to enable the translation of big data into research findings. The GBC supports researchers in their application of computational approaches to study biological processes in aging. In particular, we have a strong focus in using genomic data derived from diverse human cohorts to validate findings in model organisms to better understand the architecture of complex traits related to aging-related diseases and longevity. For more information about the GBC (https://gero.usc.edu/bioinformatics-core/) or the Davis School of Gerontology (https://gero.usc.edu), click on the included links.

The GBC Research Programmer I will provide programming and analytical support for interdisciplinary projects that use large scale human datasets and genomics data, which includes genotype, whole genome sequencing, DNA methylation, and gene expression data. The key role of the individual in this position will be to calculate variables and run analytical pipelines that will be used to answer research questions that are instrumental for accelerating the pace of translational genomics relevant to human aging and for the development of therapeutic approaches for aging-related conditions. The programmer will be an integral part of the research team and work closely with the core leaders to develop and implement coding approaches. Demonstrated knowledge of programming and/or scripting languages (i.e., R, python) is required for this position. The ideal candidate will be a person who has demonstrated skills in human genomics data analysis (e.g., GWAS, EWAS, TWAS, differential gene expression), using high performance computing clusters, managing large data files, documenting methods used for analytical procedures, applying statistical methods for working with repeated measures data, particularly from large-scale, population-based datasets. High attention-to-detail, good organization and communication skills are essential. A requirement for this job is prior experience with genomic analyses in human cohorts.

The position provides opportunities to gain advanced skills; be involved in innovative projects that span biological, computational, and genomic sciences; participate in project development, and reporting on findings via grant applications and manuscripts. The individual will be involved in ongoing and developing research projects within the GBC and will be encouraged to further their own skills and training on efficient methods for examining genetic variation data, or understanding genetic architecture of aging-related diseases. Opportunities are available to analyze large-scale genotyping and next-generation sequencing data in multiple population-based human cohorts. The GBC fosters a work environment that is inclusive as well as diverse, where ideas and perspectives are valued.

We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or an individual’s status in any group or class protected by applicable federal, state, or local law.

Job Responsibilities
  • Develop and document robust computational workflows, testing procedures, and production pipelines that support multi-omics analyses to support the Gerontology Bioinformatics Core.
  • Develop datasets, create tables, perform analyses, and otherwise participate in the production of publications in collaboration with other researchers.
  • Give online and in-person technical demonstrations Develop and run workflows using command line and high-performance computing clusters Supports continuous improvements by maintaining currency with new technologies and leveraging the latest industry knowledge to continually develop skills, knowledge, and abilities.
  • Participate in research projects by contributing to study design, developing prototype computational implementations, and supporting the preparation of technical reports, manuscripts, and grant proposals.
  • Utilize creativity and innovation to solve complex computational challenges arising from cutting-edge geroscience research, and identify opportunities to adapt methods and results to novel scientific applications and future research directions.
  • Promote a collaborative and inclusive research environment consistent with USC’s Code of Ethics.
  • Perform other related duties as assigned or requested.
  • The university reserves the right to add or change duties at any time.
Preferred Qualifications
  • MA/MS degree in Epidemiology, Biostatistics, quantitative social science, molecular genetics, or a related field and experience using statistical genetics, translational genomics, or bioinformatics approaches for data analysis.
  • 2 or more years of experience coding with R or python 2 or more years of experience analyzing human genomics data Ability to work independently and collaboratively on complex programming.
  • Experience using large, complex biological datasets
  • Experience with high-performance computing.
  • Demonstrated experience analyzing genomic and next generation sequencing data.
  • Performs other related duties as assigned or requested.
  • The university reserves the right to add or change duties at any time.
  • Good communication on technical and non-technical aspects of data analysis, tasks, and timelines.
  • Highly organized.
  • Highly organized.
Highly Preferred Qualifications
  • Deep understanding of HPC, high-performance networking, cloud computing, Experience with large-scale, population-based datasets.
  • Advanced expertise in Linux/Unix systems and experience building, deploying, and maintaining open-source software in high-performance computing (HPC) environments.
  • Experience supporting computational research in a higher education or research institute setting, particularly for data-intensive scientific projects.
  • Demonstrated knowledge of the research process, including proposal development, data lifecycle management, reproducible workflows, and compliance with federal and sponsor regulations for data safety and security.

Benefits include a competitive salary, and a rich array of USC benefits including healthcare (including dental and vision), 403(b), tuition reimbursement, national holidays, paid vacation, and more.

The hourly rate range for this position is $38.98-$43.53.

When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

This position will have the ability to work a Hybrid (on campus and remote) work schedule.

The position is available for one year and renewable contingent on successful progress and available funding.

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Notice of Non-discrimination Employment Equity Read USC’s Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility.

USC is a leading private research university located in the heart of downtown Los Angeles - a global center for arts, technology and international business. As the largest private employer in the city - responsible for more than $5 billion annually in economic activity in the region – we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills. As a USC employee, you will enjoy excellent benefits and perks, and you will be a member of the Trojan Family - the faculty, staff, students and alumni who make USC a great place to work.

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