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Research Associate Job at The University of Manchester, UK | Life Sciences | Apply Now & Earn £41,064.00

Research Associate Job at The University of Manchester, UK | Life Sciences | Apply Now & Earn £41,064.00

If you are a postdoctoral computational scientist or a statistical geneticist looking to lead high-dimensional genomic and proteomic mapping pipelines, this 3-year fixed-term appointment is an exceptional milestone. Located within the Faculty of Biology, Medicine and Health, this position embeds you directly into advanced diagnostic test development for severe autoimmune and musculoskeletal conditions. For data-driven specialists searching for a high-impact Research Associate Job, this position offers hands-on ownership of large-scale biobank architectures, Genome-Wide Association Studies (GWAS) meta-analyses, and Polygenic Risk Score (PRS) validation. It serves as an elite operational launchpad to build a long-term University of Manchester career and stands out as a premier choice for anyone tracking a competitive, computational Life Sciences Job within the United Kingdom’s world-class clinical research corridor.

About The University

The University of Manchester is a globally renowned Russell Group institution, repeatedly celebrated for its pioneering historic breakthroughs and its modern commitment to cross-disciplinary, data-driven life sciences. This role is strategically situated within the Division of Musculoskeletal and Dermatological Science, housed inside the prestigious School of Biological Sciences. The division operates as a highly collaborative, international research ecosystem that closely integrates raw multi-omics discovery with real-world clinical medicine. Joining this team puts you at the absolute forefront of precision medicine, granting you access to elite computing clusters and placing you within a supportive, diverse academic community dedicated to challenging received wisdom and driving patient-centric innovation.

Research Associate Job – Key Responsibilities

The Research Associate will serve as the primary analytical lead for a high-profile translational program aimed at developing and validating predictive diagnostic tests for axial spondyloarthritis and psoriatic arthritis.

Your core statistical genetics, dataset harmonization, and validation duties include:

  • Advanced GWAS Analytics: Conducting complex, high-throughput Genome-Wide Association Studies (GWAS) and international GWAS meta-analyses utilizing both individual-level and summary-level genetic data streams.
  • Large-Scale Dataset Curation: Executing rigorous quality control, clinical data cleaning, and systematic harmonization across massive, high-dimensional biomedical databases, including the UK Biobank, All of Us, and related global biobank networks.
  • Genetic Risk Score Construction: Generating, applying, optimizing, and verifying clinical-grade genetic risk scores (GRS/PRS) within independent, diverse patient cohorts to advance this Research Associate Job.
  • Multimodal Prediction Modeling: Evaluating the diagnostic performance of genetic risk scores side-by-side with localized biomarkers (such as $HLA-B27$), proteomic readouts, and longitudinal clinical variables.
  • Subgroup & Performance Assessments: Auditing predictive and diagnostic performance indicators (such as ROC-AUC, calibration curves, and net benefit metrics) across distinct demographic and clinical patient subgroups for a top-tier Life Sciences Job.
  • Academic Dissemination: Presenting high-level computational outputs at international genomics symposia and drafting clear, peer-reviewed manuscripts for publication in leading scientific journals.

Qualifications & Profile Requirements For Research Associate Job

This specialized postdoctoral track is systematically engineered for highly autonomous, code-proficient data scientists who possess a robust background in processing complex, high-dimensional molecular datasets.

  • Required Academic Baseline:
    • Educational Foundation: A formal PhD awarded, or very close to completion, in Statistical Genetics, Genetic Epidemiology, Computational Genomics, Data Science, Biostatistics, or a closely related quantitative scientific discipline containing a heavy genomics component.
  • Essential Technical Experience:
    • Direct, hands-on experience conducting full GWAS meta-analyses using large summary-level data arrays.
    • Proven track record generating, scaling, or validating polygenic risk scores within completely independent verification datasets to accelerate a University of Manchester career.
    • Strong competency evaluating risk scores or clinical prediction models, including a clear, practical understanding of diagnostic performance software and statistical metrics in biomedical data.
  • Meritorious & Highly Desirable Assets:
    • Prior experience building or evaluating diagnostic prediction models that merge high-dimensional genetic data with proteomic, transcriptomic, or metabolomic profiles.
    • Practical familiarity working with specialized proteomic platforms such as Olink or SomaScan.
    • Technical exposure to complex $HLA / MHC$ locus sequencing analysis or the broader genetics of immune-mediated inflammatory diseases.

Logistics, Salary Scales & Employee Benefits

  • Location: Oxford Road Campus, Manchester, United Kingdom (Supported by modern flexible and hybrid working frameworks).
  • Job Reference Identifier: BMH-031745.
  • Employment Framework: Full-Time (1 FTE), Fixed-Term Contract for a total duration of 36 months.
  • Salary Progression Scope: £37,694.00 – £41,064.00 per annum, systematically calibrated based on prior relevant postdoctoral experience and technical capabilities.
  • Generous Annual Leave Allocation: 29 days of paid annual leave plus standard bank holidays, supplemented by dedicated university closure days during the Christmas holiday period.
  • Financial & Lifestyle Benefits: Elite employer-contribution pension scheme, structured Ride-to-Work programs, and access to an innovative Electric Vehicle (EV) corporate car scheme.

In short, the Research Associate position in Genetic Epidemiology at the University of Manchester is a definitive route to transforming your computational biology PhD into a high-visibility, clinical asset. Securing this appointment allows you to move past secondary administrative processing and take direct operational charge of the biobank integrations, GWAS architectures, and multi-omic prediction models that reshape early diagnosis for thousands of patients globally. If you hold a qualifying quantitative doctorate, possess expert command over genomic data pipelines, and are ready to excel within a world-class division, apply before the July 6, 2026 closing date to secure this premier Research Associate Job, launch a highly rewarding University of Manchester career, and lock in this outstanding Life Sciences Job.

APPLY ONLINE HERE

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