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Recruitment Consultant at In Technology Group
Location: Edinburgh (Hybrid 2-3 Days On-site)
Our client is seeking a talented bioinformatician to join their dynamic team in Edinburgh. This hybrid role requires the candidate to be based in, or willing to relocate to, Edinburgh.
Key Responsibilities:
* Develop and implement novel pipelines for single-cell and spatial transcriptomic data analysis.
* Assist in constructing and maintaining internal databases.
* Collaborate closely with the Bioinformatics team to advance our target discovery platform.
* Engage extensively with colleagues at our Cambridge R&D site.
Responsibilities Include:
* Running single-cell and single-nuclei RNA-seq analytical pipelines to identify therapeutic targets.
* Establishing spatial transcriptomic analysis pipelines.
* Keeping abreast of the latest methodologies in single-cell genomics.
* Working collaboratively with the scientific team and external partners.
* Effectively communicating and presenting data to various audiences.
* Maintaining accurate electronic records and code repositories.
* Contributing to the development of the drug discovery platform.
Experience and Requirements:
* PhD or Masters in a relevant scientific discipline, or equivalent industry experience.
* Proficiency in single-cell transcriptome/genome data analysis.
* Experience in analysing and interpreting large datasets.
* Competence in statistical (e.g., R) and programming (e.g., Python, Java) languages.
* Strong analytical and statistical skills.
* Excellent communication skills in English.
* Good interpersonal and time management skills.
* Ability to work independently and troubleshoot new techniques.
* Ambition to contribute to a transformative company.
* Experience with 10x Genomics Chromium single-cell or single-nuclei transcriptomics data.
* Experience with 10x Genomics Xenium or VisiumHD spatial transcriptomics data.
* Experience in pipeline construction and implementation with Nextflow.
* Interest in machine learning applications in bioinformatics.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Analyst
* Industries
Biotechnology Research, IT System Data Services, and Research Services
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