
Data Analyst/Bioinformatician
2 days ago
We are seeking a highly skilled Data Analyst/Bioinformatician to collaborate with leading medical researchers. In this dynamic role, you will design experiments, build cutting-edge algorithms, and apply best-practice computational tools to transform complex clinical and experimental datasets into meaningful insights.
- Enhance the awareness, reputation, and standing of our bioinformatics facility through activities that showcase expertise in data analysis and interpretation.
- Assist in preparing grant applications for collaborative research projects with approval from the bioinformatics leader and head of operations.
- Conduct and support research experiments and projects independently and as part of a team.
- Demonstrate scientific knowledge and technical expertise, with a commitment to continuous learning and development.
- Apply your expertise to a diverse range of projects and identify optimal solutions to research problems, collaborating with core facilities as needed.
- Prepare and report research data for documentation and presentations to the team and project stakeholders.
- Maintain accurate records and support the archiving of research data and shared resources.
- Support the bioinformatics leader with facility operations, administrative tasks, and adherence to policies and procedures.
- Contribute to the development and deployment of facility tools, technologies, and services, prioritising tasks as directed.
- Actively participate in facility and institute scientific meetings.
- Engage in training activities alongside other team members.
- Collaborate with colleagues in other core facilities.
- Support the bioinformatics leader in improving quality management systems.
- Share knowledge and promote our institution through seminars, events, and similar initiatives.
- Hold at least an MSc and/or PhD in Bioinformatics, Computational Biology, Mathematics, Statistics, or possess equivalent experience.
- Have experience working in a professional research capacity with a strong focus on biomedical data analysis.
- Creating and implementing bioinformatics pipelines/workflows on Linux, HPC, and/or cloud-based computing platforms.
- Data manipulation and exploratory data analysis using R or Python.
- Interpreting results from differential gene expression analysis, single-cell transcriptomics, and/or proteomics.
- Engaging with researchers and working across a wide range of multiomic datasets to address biomedical questions.
- Ability to formulate impactful research questions and carry projects through to high-quality completion and reporting.
- Experience with machine learning applications in biomedical research.
- Use of cutting-edge approaches for analysing high-dimensional and multi-omics data.
- Familiarity with pathway enrichment and network analysis.
- Analysis of long-read sequencing data.
- Mathematical modelling and statistical methods suited for high-dimensional datasets.
- Strong problem-solving abilities and independent thinking.
- Proven experience communicating findings through scientific papers and conference presentations.
- High-level interpersonal, verbal, and written communication skills.
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