ANGLE is a world-leading liquid biopsy company commercialising a patent protected platform technology that can capture rare circulating tumour cells (CTCs) from blood, in a minimally invasive way, for downstream analysis.
ANGLE’s Parsortix system is FDA cleared for its intended use in metastatic breast cancer and is currently the first and only FDA cleared medical device to harvest intact circulating cancer cells from blood. Parsortix technology comprises a microfluidic device that captures CTCs from blood based on their size and compressibility. CTCs are cancer cells that have detached from the primary tumour and entered the blood circulation, and they play a critical role in initiating metastasis. Once harvested, the CTCs can be comprehensively analysed to provide a wealth of information about the patient’s tumour, advancing cancer research and potentially personalized medicine. This technology has the potential to deliver profound improvements in clinical and health economic outcomes.
ANGLE has established a CTC harvest and analysis service from our UK-based Clinical Laboratory based in Guildford for customers worldwide. In alignment with company priorities, we plan to rapidly expand our services to include molecular profiling of CTCs and ctDNA using digital PCR and NGS to add to our image-based assays.
Join our Team:
This is an exciting time at ANGLE and our team in Guildford are looking for a Clinical Data Analyst (Molecular). The Clinical Data Analyst will play a pivotal role in analysing complex genomic datasets, with a primary focus on liquid biopsy assays and molecular data, to support personalized cancer treatment strategies. At ANGLE, we foster a dynamic, entrepreneurial approach to translating leading-edge translational research into clinical diagnostics. We promote a culture of collaboration and shared excellence while encouraging an open and honest exchange of ideas. We are always in search of potential employees who share our vision and want to make a difference today. In your submission, please describe your background and what you can bring to our team along with attaching your resume. Principal Accountabilities:
This role involves the development, optimization, and validation of bioinformatics pipelines for Next-Generation Sequencing (NGS) data, including circulating tumour cell (CTC) targeted mutation profiling and transcript expression analysis. The Data Analyst will collaborate closely with cross-disciplinary teams to ensure the quality, accuracy, and reproducibility of molecular data for clinical applications. Duties will include:
Perform comprehensive analysis of liquid biopsy genomic datasets (DNA/RNA), identifying genetic variants and biomarkers for personalized oncology approaches. Implement, and optimize bioinformatics pipelines for processing and analysing large-scale NGS data, ensuring efficient variant calling, annotation, and interpretation. Refine analytical workflows to support clinical applications, with a focus on identifying clinically relevant cancer biomarkers using genomic data. Integrate machine learning algorithms as needed to enhance data analysis workflows, automate variant interpretation, and improve the scalability and accuracy of genomic data analysis. Work collaboratively across cross-functional teams to ensure all data management, processing, and analysis adheres to ISO 15189:2022 standards, maintaining data integrity and confidentiality. Prepare and present technical reports and data visualizations, clearly communicating complex analysis methodologies and findings to both technical and non-technical stakeholders. Provide analytical support in interdisciplinary team meetings, contributing to project design, execution, and the integration of novel bioinformatics approaches into clinical workflows. Continuously evaluate and optimise bioinformatics pipelines by incorporating cutting-edge bioinformatics tools and statistical methods to improve analysis efficiency and performance. Education, Qualifications and Experience
Master’s degree or PhD in Bioinformatics, Computational Biology, Genomics, Cancer Biology, or a related field. Minimum 2 years of experience in bioinformatics or molecular (DNA/RNA) data analysis, with a focus on cancer research, in a clinical or research setting. Proficient in bioinformatics tools for NGS data analysis (e.g., GATK, SAMtools, BEDTools), with an in-depth understanding of variant calling, annotation, and interpretation. Functional knowledge of Python and R for data analysis, utilizing libraries such as Pandas, NumPy, SciPy, Tidyverse and DESeq2. Skilled in using data science tools, including Jupyter Notebooks and AWS cloud computing, to refine and accelerate analysis workflows. Familiarity with workflow managers (e.g., Nextflow, Snakemake) for automating and scaling bioinformatics pipelines. Job Requirements:
This role is based at the Guildford laboratory, with occasional flexibility to work from home. Please let us know if you require disability-related accommodation during the recruitment process so that we can work with you to meet your needs. Furthermore, please be advised that if you submit an application to us for this position, your application and personal details will be processed in accordance with our Data Privacy Notice for Job Candidates.
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This is an exciting time at ANGLE and our team in Guildford are looking for a Clinical Data Analyst (Molecular). The Clinical Data Analyst will play a pivotal role in analysing complex genomic datasets, with a primary focus on liquid biopsy assays and molecular data, to support personalized cancer treatment strategies. At ANGLE, we foster a dynamic, entrepreneurial approach to translating leading-edge translational research into clinical diagnostics. We promote a culture of collaboration and shared excellence while encouraging an open and honest exchange of ideas. We are always in search of potential employees who share our vision and want to make a difference today. In your submission, please describe your background and what you can bring to our team along with attaching your resume. Principal Accountabilities:
This role involves the development, optimization, and validation of bioinformatics pipelines for Next-Generation Sequencing (NGS) data, including circulating tumour cell (CTC) targeted mutation profiling and transcript expression analysis. The Data Analyst will collaborate closely with cross-disciplinary teams to ensure the quality, accuracy, and reproducibility of molecular data for clinical applications. Duties will include:
Perform comprehensive analysis of liquid biopsy genomic datasets (DNA/RNA), identifying genetic variants and biomarkers for personalized oncology approaches. Implement, and optimize bioinformatics pipelines for processing and analysing large-scale NGS data, ensuring efficient variant calling, annotation, and interpretation. Refine analytical workflows to support clinical applications, with a focus on identifying clinically relevant cancer biomarkers using genomic data. Integrate machine learning algorithms as needed to enhance data analysis workflows, automate variant interpretation, and improve the scalability and accuracy of genomic data analysis. Work collaboratively across cross-functional teams to ensure all data management, processing, and analysis adheres to ISO 15189:2022 standards, maintaining data integrity and confidentiality. Prepare and present technical reports and data visualizations, clearly communicating complex analysis methodologies and findings to both technical and non-technical stakeholders. Provide analytical support in interdisciplinary team meetings, contributing to project design, execution, and the integration of novel bioinformatics approaches into clinical workflows. Continuously evaluate and optimise bioinformatics pipelines by incorporating cutting-edge bioinformatics tools and statistical methods to improve analysis efficiency and performance. Education, Qualifications and Experience
Master’s degree or PhD in Bioinformatics, Computational Biology, Genomics, Cancer Biology, or a related field. Minimum 2 years of experience in bioinformatics or molecular (DNA/RNA) data analysis, with a focus on cancer research, in a clinical or research setting. Proficient in bioinformatics tools for NGS data analysis (e.g., GATK, SAMtools, BEDTools), with an in-depth understanding of variant calling, annotation, and interpretation. Functional knowledge of Python and R for data analysis, utilizing libraries such as Pandas, NumPy, SciPy, Tidyverse and DESeq2. Skilled in using data science tools, including Jupyter Notebooks and AWS cloud computing, to refine and accelerate analysis workflows. Familiarity with workflow managers (e.g., Nextflow, Snakemake) for automating and scaling bioinformatics pipelines. Job Requirements:
This role is based at the Guildford laboratory, with occasional flexibility to work from home. Please let us know if you require disability-related accommodation during the recruitment process so that we can work with you to meet your needs. Furthermore, please be advised that if you submit an application to us for this position, your application and personal details will be processed in accordance with our Data Privacy Notice for Job Candidates.
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