QUALIFICATIONS:

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• Proven experience with single-cell RNA-seq data analysis and integration using R and associated packages.

• Strong skills in R Shiny app development and deployment.
• Familiarity with multimodal analysis (combining scRNAseq with other omics data e.g., CyTof proteomics).

A BIT MORE ABOUT US

Our journey began over 27 years ago in Sweden, in the city of Lund. As a full-service, global Contract Research Organization (CRO), we build solution-driven teams working towards a healthier future. Bringing together over 800 professionals, TFS delivers tailored clinical research services in more than 40 countries with flexible clinical development and strategic resourcing solutions across key therapeutic areas including Dermatology, Neuroscience, Oncology, and Ophthalmology.
Our core values of Trust, Quality, Passion, Flexibility, and Sustainability are our guiding light serving as the framework for decision-making at all levels of the organization. They assist us in attracting and retaining valuable talent who share our sentiments, resulting in high employee engagement and satisfaction. By aligning on these fundamental values, we cultivate a unified force, geared towards innovation and excellence. This collective effort propels us towards our shared goal and fosters a culture of mutual respect and collaboration. Together we make a difference

ABOUT THIS ROLE

TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise includes full service capabilities, resourcing and Functional Service (FSP) solutions.
We are seeking a skilled and motivated Bioinformatician for one of our clients, a biotechnology company.
You’ll be helping to identify novel therapeutic targets through multimodal omics integration (e.g., scRNA-seq + CyToF proteomics).

KEY RESPONSIBILITIES:

• Review and assess the current R-based integration strategy..
• Evaluate and implement robust data integration strategies for large-scale single-cell datasets.
• Update and enhance a Shiny app for easy data querying and visualization.