Randstad AB

Data Scientist

Randstad AB
SE Uppsala, Uppsala län
Onsite 2026-06-24
Estimated salary · Uppsala
~ SEK 537,600 - SEK 730,800
Low
SEK 537K
Median
SEK 620K
High
SEK 730K
Market in Uppsala · SCB 2025
Estimated net pay
SEK 35,081 - SEK 44,836
/month · 22% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it

Job description

Job description Are you a skilled data scientist or bioinformatician passionate about pushing the boundaries of proteomics? We are currently seeking a high-caliber Consultant to join us for an impactful assignment with our client, a global leader in advanced proteomics solutions located in Uppsala. In this role, you will act as a vital bridge between Mass Spectrometry (MS) and affinity-based proteomics technologies. Your mission will be to drive the development of data integration strategies, analytical workflows, and software solutions that empower researchers worldwide to derive deeper biological insights from complementary datasets. Working closely with our client’s cross-functional R&D, software engineering, bioinformatics, and commercial teams, you will define use cases, develop proof-of-concept analyses, and help translate scientific innovations into scalable, customer-facing software ecosystems. The assignment is planned to start asap and last until end of year, with possibility for an extension. Responsibilities Drive MS–Proteomics Data Integration Strategies Develop and demonstrate best practices for integrating MS and affinity-based proteomics datasets at both the data and biological interpretation levels. Design and execute analyses that showcase the immense value of combining orthogonal proteomics technologies. Generate scientific evidence demonstrating incremental biological insights, pathway enrichment, biomarker discovery, and predictive modeling performance from integrated datasets. Author scientific content, case studies, white papers, and data stories to communicate findings to both internal and external stakeholders. Build Interoperability & Software Solutions Define technical requirements and use cases for integrating MS-derived results into our client's proprietary software platforms. Evaluate existing prototypes and collaborate with software development teams to design scalable, maintainable solutions. Lead implementation efforts for data

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