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Contractual Computational Design Jobs (NOW HIRING)

Quantinuum

Computational Scientist - 705

Broomfield, CO · On-site

$80K - $101K/yr

Extensively test, document, and maintain existing workflows for the design of surface-electrode ion ... Due to Contractual requirements, must be a U.S. Person defined as, U.S. citizen permanent resident ...

Dana-Farber Cancer Institute

Accountable for ensuring project deadlines and contractual obligations are met for assigned ... Guide research design and computational approach and provide critical feedback on progress.

RSI EnTech, LLC

Pulse Power Drafter

Albuquerque, NM · On-site

The Center also utilizes its major experimental, theoretical, and computational capabilities to ... discuss design, schedule, manufacturing processes and materials selections to ensure contractual ...

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As of May 28, 2026, the average hourly pay for contractual computational design in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.
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Research Associate - Computational Immunology

Research Associate - Computational Immunology

University of Southern California

Los Angeles, CA • On-site

$71K - $89K/yr

Full-time

Posted yesterday

University Of Southern California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

92nd of 528 rated colleges and universities

Job description

The USC Mann School of Pharmacy and Pharmaceutical Sciences, Titus Department of Clinical Pharmacy, is seeking a Research Associate, Computational Immunology, to develop, implement, and apply advanced computational methods for immune-focused genomic and multi-omics analyses. This role will lead the design of scalable analysis pipelines, creation of robust software tools, and integrative interpretation of large, complex datasets (e.g., RNA-seq, TCR/BCR repertoire sequencing, single-cell multi-omics, proteomics, epigenomics). The successful candidate will partner closely with experimental and clinical teams to translate computational insights into actionable biological hypotheses and high-impact manuscripts and grant applications.
Key Responsibilities
  • Method and tool development
    • Design, develop, test, and maintain computational tools for genomic and immunogenomic analyses (e.g., repertoire inference, clonotype tracking, antigen-receptor diversity metrics, cell-state modeling, and immune microenvironment profiling).
    • Build and maintain reproducible, modular pipelines for high-throughput analyses using best practices in software engineering and scientific computing.
  • Large-scale omics analysis
    • Analyze and integrate large datasets across modalities (bulk RNA-seq, scRNA-seq, scATAC-seq, repertoire sequencing, proteomics/metabolomics), including quality control, normalization, batch correction, and statistical modeling.
    • Perform differential analysis, pathway enrichment, deconvolution/cell composition inference, clonotype overlap and tracking, and longitudinal/paired analyses.
  • Data integration, infrastructure, and databases
    • Develop and manage analysis-ready databases and metadata frameworks; implement governance and documentation standards to ensure data integrity and reuse.
    • Optimize computational workflows for high-performance computing (HPC) and/or cloud environments; implement scalable storage and compute strategies.
  • Scientific collaboration and communication
    • Collaborate with wet-lab and clinical investigators to define analysis plans, interpret results, and prioritize follow-up experiments.
    • Prepare figures, reports, and reproducible notebooks; contribute to manuscripts, conference abstracts, and grant proposals.
    • Present methods and results to multidisciplinary audiences; provide technical guidance and training to lab members as needed.

Minimum Qualifications (One of the following)
  • M.S. degree in Computational Biology, Bioinformatics, Genomics, Computer Science, Biostatistics, or a related discipline plus three years of relevant experience performing computational genomics/immunogenomics analyses and tool development; OR
  • Ph.D. in Computational Genomics, Computational Immunology, Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a closely related field.

Required Technical Expertise
  • Demonstrated experience developing genomic analysis tools and pipelines and analyzing large-scale omics datasets.
  • Strong programming skills in Python and/or R; proficiency with scientific computing libraries and data structures.
  • Strong grounding in statistics for high-dimensional biology (e.g., regression models, multiple testing, experimental design, batch effects).
  • Experience working in HPC/Linux environments, containerization (e.g., Docker/Singularity), and job schedulers (e.g., SLURM or equivalent).
  • Ability to write clear documentation and produce publishable-quality analyses and visualizations.

Preferred Qualifications
  • Immunogenomics experience including one or more of:
    • TCR/BCR repertoire analysis, clonotype inference/annotation, diversity/selection metrics, and repertoire comparison across conditions.
    • Single-cell immune profiling (e.g., scRNA-seq / CITE-seq / scATAC-seq) and multi-omic integration.
  • Experience building and maintaining analysis databases and metadata schemas; familiarity with FAIR principles.
  • Prior contributions to open-source software, internal toolkits, or published methods papers.

Core Competencies
  • Strong analytical reasoning and scientific rigor; ability to debug complex pipelines end-to-end.
  • Excellent communication skills and ability to translate computational results for experimental and clinical collaborators.
  • High ownership, organization, and attention to detail; ability to manage multiple concurrent projects and deadlines.
  • Collaborative mindset with demonstrated ability to work in multidisciplinary teams.

The annual base salary range for this position is $71,000 - $89,000. 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.
Minimum Education: Ph.D. or equivalent doctorate
Minimum Experience: 1 year
Minimum Field of Expertise: Directly related education and experience in research specialization with advanced knowledge of equipment, procedures and analysis methods.
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. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
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If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:
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About University of Southern California

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The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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