Salary
≈ $25k – $60k per year (Estimated)
Location
In office (Shanghai)
Seniority
Middle · 3+ years exp
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 13, 2026. Parexel scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Parexel is a clinical research organisation headquartered in Durham, North Carolina that provides Phase I to IV clinical trial services, regulatory consulting, market access and safety services to biopharmaceutical companies. Founded in 1983 and owned by EQT and Goldman Sachs since 2021, it employs more than 21,000 people, with large teams in the US, Hyderabad, Bengaluru, London, Poland, Romania, Serbia and Bloemfontein. Its openings are mostly for regulatory affairs consultants and associates, clinical research associates, safety technology analysts, clinical trial managers, data and AI engineers, many of them home or office based.
When our values align, there's no limit to what we can achieve.
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
Key Responsibilities
- Perform routine analysis of multi-omics datasets
- Execute standard workflows for QC, normalization, annotation, and result generation
- Develop and maintain R scripts / lightweight analytical tools
- Prepare tables, figures, and summaries for internal team use
- Maintain clear documentation for reproducibility and traceability
- Collaborate within the team to support timely delivery
Required Qualifications
- Master’s degree in Bioinformatics, Computational Biology, Genomics, Statistics, Computer Science, or related field
- 3-5 years of relevant experience in bioinformatics or multi-omics analysis
- Practical experience with R, Python, and Linux/Unix
- Experience in R tool or script development
- Familiarity with NGS and/or multi-omics analysis workflows
- Strong teamwork and documentation skills
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