3 Principal Bioinformatician jobs in Placements24
Job Description
- Lead the design and execution of bioinformatics analyses for large-scale omics datasets (genomics, transcriptomics, proteomics, etc.).
- Develop, optimize, and maintain scalable bioinformatics pipelines and workflows.
- Perform statistical analysis and interpretation of complex biological data to identify key findings and insights.
- Integrate data from multiple sources and experimental platforms to generate a comprehensive understanding of biological systems.
- Collaborate closely with biologists, chemists, and other scientists to define research questions and experimental designs.
- Mentor and guide junior bioinformaticians, providing technical expertise and strategic direction.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and methodologies.
- Contribute to the development of internal databases and knowledge management systems.
- Communicate research findings effectively through reports, presentations, and publications.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 8 years of progressive experience in bioinformatics, with a strong emphasis on data analysis and pipeline development.
- Extensive experience with various omics data types and associated analysis tools (e.g., RNA-Seq, ChIP-Seq, WGS, proteomics data).
- Proficiency in programming languages such as Python, R, and scripting languages (e.g., Bash).
- Experience with cloud computing platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker, Singularity).
- Strong understanding of statistical methods and machine learning relevant to biological data analysis.
- Demonstrated ability to manage complex bioinformatics projects and lead scientific teams.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, with the ability to explain complex computational concepts to non-experts.
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Job Description
- Lead the design and execution of complex bioinformatics analyses for high-throughput sequencing data (e.g., WGS, RNA-Seq, ChIP-Seq).
- Develop and maintain robust bioinformatics pipelines and workflows for data processing, quality control, and interpretation.
- Collaborate closely with molecular biologists, geneticists, and clinicians to address key research questions.
- Implement and optimize algorithms for variant calling, gene expression analysis, pathway analysis, and other omics data interpretation.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Mentor and guide junior bioinformaticians and research staff.
- Contribute to grant writing and manuscript preparation, presenting findings effectively.
- Evaluate and integrate new bioinformatics tools and technologies to enhance research capabilities.
- Ensure compliance with data privacy regulations and ethical guidelines in bioinformatics research.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 6 years of hands-on experience in bioinformatics analysis, with a strong emphasis on genomics and transcriptomics.
- Proven expertise in scripting and programming languages such as Python or R, and experience with bioinformatics tools and databases (e.g., Bioconductor, Ensembl, UCSC Genome Browser).
- Demonstrated experience in designing and implementing complex bioinformatics pipelines, preferably using workflow management systems (e.g., Snakemake, Nextflow).
- Strong understanding of statistical methods and machine learning techniques applied to biological data.
- Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.
- Experience with cloud computing platforms (e.g., AWS, GCP) for large-scale data analysis is desirable.
- Leadership experience or demonstrated potential for leading research projects.
- Familiarity with version control systems (e.g., Git).
- Competitive salary and a comprehensive benefits package.
- Generous opportunities for professional development and continuous learning.
- Access to cutting-edge computational resources and large datasets.
- Collaborative and stimulating research environment in **Cardiff**.
- Contribution to impactful research in an expanding field.
- Flexible remote working options to support work-life balance.
- Pension scheme and health insurance.
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Job Description
A leading biopharmaceutical research organisation based in Cardiff is actively seeking a highly skilled and experienced Principal Bioinformatician to join their growing bioinformatics division. This pivotal role will involve developing and implementing cutting-edge computational strategies to analyze large-scale genomic and proteomic datasets. The successful candidate will lead complex bioinformatics projects, provide expert guidance to research teams, and contribute significantly to the discovery of novel therapeutic targets. This is an exciting opportunity to work at the forefront of genomic research and contribute to significant advancements in healthcare, all while enjoying a fully remote work arrangement from anywhere in the UK, though ideally supporting our Cardiff -based operations.
Key Responsibilities- Lead the development and application of advanced bioinformatics pipelines for high-throughput sequencing data (genomics, transcriptomics, proteomics).
- Design and execute sophisticated data analysis strategies to identify biological insights and potential drug targets.
- Collaborate closely with molecular biologists, geneticists, and clinicians to interpret complex biological data.
- Develop and maintain robust, scalable, and reproducible analytical workflows.
- Mentor and guide junior bioinformaticians and research staff.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological domains.
- Contribute to the design of experimental studies to maximize data utility.
- Develop and present findings through internal meetings, reports, and external publications/conferences.
- Manage and curate large biological datasets, ensuring data integrity and accessibility.
- Provide strategic input on the bioinformatics infrastructure and capabilities for the Cardiff research unit.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 8 years of progressive experience in bioinformatics, with a strong focus on omics data analysis.
- Expertise in programming languages such as Python, R, Perl, or Java.
- Proficiency with bioinformatics tools, databases, and reference genomes.
- Extensive experience with statistical analysis and machine learning techniques applied to biological data.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Singularity).
- Excellent understanding of molecular biology, genetics, and disease mechanisms.
- Proven ability to lead projects and mentor junior scientists.
- Exceptional communication and collaboration skills, capable of explaining complex computational concepts to non-experts.
- Experience in a pharmaceutical or biotechnology research setting is highly desirable, supporting our Wales operations.
Our client offers a highly competitive salary and benefits package, including private medical insurance, life assurance, and an excellent pension scheme. As a fully remote position, we offer unparalleled flexibility, allowing you to work from home. We provide a generous allowance for home office equipment and professional development budgets for conferences and training. Employees also benefit from 28 days of annual leave plus public holidays. This role offers the chance to be part of a forward-thinking company dedicated to scientific innovation, with a strong connection to the research community in Cardiff .
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