What Bioinformatics Team Lead Jobs are in the United Kingdom?

Mandarin Recruitment is looking for a Lab Manager for their global bioinformatics company based in Cambridge. The ideal candidate will have a bachelor's degree in bioengineering or molecular biology, along with over 5 years of NGS experimentation and 3 years of management experience.

The Lab Manager will oversee laboratory operations and address technical challenges. Proficiency in English and Mandarin is required, and candidates must ensure a reliable commuting plan or be prepared to relocate.

NewsNowGh is seeking a Science Officer or Senior Science Officer in Hinxton, UK. The role focuses on coordinating life science data initiatives, ensuring data is accessible and reusable for research.

The ideal candidate will have a degree in life sciences or a related field, with experience in bioinformatics and data management. Strong communication skills and willingness to travel across Europe are essential. This is a unique opportunity to contribute to leading data infrastructure in Europe.

• Lead the design, development, and optimization of robust bioinformatics pipelines for analyzing diverse genomic datasets (WGS, WES, RNA-Seq, ChIP-Seq).
• Manage and mentor a team of bioinformatics analysts, fostering a collaborative and high-performance remote working environment.
• Collaborate closely with molecular biologists, geneticists, and clinicians to define research questions and analytical strategies.
• Implement and adapt cutting-edge algorithms and statistical methods for variant calling, annotation, pathway analysis, and differential expression analysis.
• Develop and maintain comprehensive documentation for all analytical pipelines and methodologies.
• Ensure the scalability, efficiency, and reproducibility of bioinformatics workflows.
• Present complex analytical findings to both technical and non-technical audiences.
• Stay current with the latest developments in bioinformatics, computational biology, and genomics technologies.
• Contribute to scientific publications and presentations derived from your analyses.

• Master's or Ph.D. in Bioinformatics, Computer Science, Statistics, Computational Biology, or a related quantitative field.
• Minimum of 7 years of progressive experience in bioinformatics, with a strong focus on genomic data analysis.
• Proven experience in leading and managing bioinformatics projects and teams.
• Expertise in programming languages such as Python, R, and shell scripting.
• Deep understanding of various bioinformatics databases and resources (e.g., Ensembl, UCSC, dbSNP).
• Hands-on experience with cloud computing platforms (AWS, GCP, Azure) for large-scale data analysis.
• Familiarity with containerization technologies (Docker, Singularity).
• Strong statistical and machine learning background.
• Excellent communication and collaboration skills, essential for a remote team setting.
• Demonstrated ability to work independently and manage multiple priorities effectively in a **remote** capacity.

• Highly competitive salary reflective of your expertise and leadership.
• Full remote work arrangement with a generous home office stipend.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours to accommodate global collaboration.
• Generous professional development budget for conferences, courses, and certifications.
• Opportunity to work on impactful projects at the forefront of genomic research.
• Contribution to a company culture that values innovation, collaboration, and work-life balance.
• Regular virtual team-building activities and social events.
• Performance-based bonuses and stock options.

• Lead the design, development, and implementation of robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-seq, scRNA-seq).
• Apply advanced statistical and machine learning techniques to identify genetic variants, biomarkers, and biological pathways associated with disease.
• Integrate diverse omics data (genomics, transcriptomics, proteomics, metabolomics) to generate comprehensive biological insights.
• Collaborate with molecular biologists, geneticists, and clinicians to translate computational findings into actionable research directions.
• Develop and maintain scalable computational infrastructure and workflows.
• Present research findings and strategic recommendations to senior management and scientific teams.
• Mentor and guide junior bioinformatics scientists, fostering their technical and professional growth.
• Contribute to the company's scientific strategy and intellectual property development.
• Stay current with the latest advancements in bioinformatics, genomics, and computational biology.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 6 years of post-doctoral or industry experience in bioinformatics or computational genomics.
• Extensive experience with NGS data analysis pipelines and associated software tools.
• Proficiency in programming languages such as Python or R, and experience with workflow management systems (e.g., Snakemake, Nextflow).
• Strong knowledge of statistical methods and machine learning applied to biological data.
• Familiarity with cloud computing environments (AWS, GCP, Azure) and containerization technologies (Docker, Singularity).
• Excellent communication, collaboration, and leadership skills, particularly in a remote setting.
• Proven ability to manage complex projects and deliver results independently.
• Experience with human genetics and disease association studies is highly desirable.

• Highly competitive salary and performance-based bonuses.
• Equity options in a growing biotech company.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working arrangements.
• Retirement savings plan with company match.
• Professional development and conference attendance support.
• Home office technology and connectivity stipend.
• Be part of a leading team shaping the future of genomics and personalized medicine.

Our client, a rapidly growing genomics and precision medicine company, is seeking a highly skilled and experienced Lead Bioinformatics Scientist to join their fully remote, world-class research team. This senior position is pivotal in developing and applying advanced computational approaches to analyze large-scale genomic and transcriptomic datasets. You will lead a team of bioinformatics specialists, collaborating closely with molecular biologists, geneticists, and clinicians to drive insights into disease mechanisms and identify novel therapeutic targets. The ideal candidate will possess a strong background in statistical genetics, computational biology, and machine learning, with a proven ability to manage complex data analysis projects and mentor junior scientists. As a remote employee, you will leverage state-of-the-art digital collaboration tools to contribute to groundbreaking research from anywhere. We are committed to fostering an inclusive and innovative scientific culture.

• Lead the design and implementation of bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
• Develop and apply statistical and machine learning methods for variant calling, genotype imputation, differential expression analysis, and pathway analysis.
• Collaborate with experimental teams to interpret complex biological data and generate actionable insights.
• Manage large-scale genomic and transcriptomic datasets, ensuring data integrity and accessibility.
• Develop and maintain custom bioinformatics tools and workflows.
• Mentor and supervise junior bioinformaticians, providing technical guidance and support.
• Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
• Present findings to internal teams and external collaborators at scientific conferences.
• Contribute to manuscript preparation and grant proposals.
• Ensure reproducibility and best practices in all computational analyses.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a related quantitative field.
• Minimum of 7 years of experience in bioinformatics research, with a significant focus on analyzing large-scale genomic or transcriptomic data.
• Demonstrated expertise in common bioinformatics software, programming languages (e.g., Python, R, Perl), and workflow management systems (e.g., Snakemake, Nextflow).
• Strong understanding of statistical methods, genetics, and molecular biology.
• Proven experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing (HPC) environments.
• Experience leading projects and mentoring junior team members.
• Excellent communication and collaboration skills, essential for effective remote teamwork.
• Experience with machine learning techniques applied to biological data is highly desirable.
• Ability to work independently and manage multiple priorities in a fast-paced research setting.
• Familiarity with clinical genetics or disease association studies is a plus.

Our client offers an exceptional remote work package, including a highly competitive salary, annual bonuses, and a comprehensive benefits program covering health, dental, and vision insurance. Employees receive a generous allowance for professional development, including access to online courses, training, and conference attendance. We provide the necessary hardware and software for remote work and foster a culture of continuous learning and innovation. Opportunities for career advancement within a leading genomics company are significant. We support a flexible working schedule and promote a healthy work-life balance.

Our client, a pioneering force in genomic research and personalized medicine, is seeking an experienced Lead Bioinformatics Scientist to spearhead their data analysis initiatives. This critical role is situated in the dynamic city of Birmingham, West Midlands, UK . You will be responsible for developing and implementing sophisticated computational pipelines to analyze large-scale genomic and transcriptomic datasets. The successful candidate will play a key part in driving biological discovery, identifying novel therapeutic targets, and translating complex biological data into actionable insights for our research and clinical teams. This is an excellent opportunity to lead a talented team of bioinformaticians, contribute to high-impact research projects, and influence the direction of cutting-edge life science R&D. We are looking for a strategic thinker with a deep understanding of biological systems and advanced computational skills.

• Lead the design, development, and validation of bioinformatics pipelines for next-generation sequencing (NGS) data analysis.
• Manage and mentor a team of bioinformatics scientists, fostering a collaborative and innovative research environment.
• Analyze and interpret large-scale genomic, epigenomic, and transcriptomic datasets to identify biological patterns and insights.
• Develop and implement statistical models and machine learning algorithms for biological data analysis.
• Collaborate closely with molecular biologists, geneticists, and clinicians to define research questions and experimental designs.
• Ensure data integrity, reproducibility, and adherence to best practices in bioinformatics workflows.
• Contribute to scientific publications, grant applications, and internal reports.
• Evaluate and integrate new bioinformatics tools and technologies to enhance analytical capabilities.

• PhD in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• A minimum of 6 years of progressive experience in bioinformatics, with at least 2 years in a leadership or supervisory role.
• Extensive experience with NGS data analysis (e.g., variant calling, RNA-Seq, ChIP-Seq).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Strong knowledge of statistical methods and machine learning techniques applied to biological data.
• Experience with relevant bioinformatics databases and software tools (e.g., Ensembl, UCSC Genome Browser, GATK).
• Demonstrated ability to manage complex projects and cross-functional teams.
• Excellent communication and presentation skills, with the ability to explain complex findings to diverse audiences.

Our client offers a competitive remuneration package, including an attractive salary, performance-based bonuses, and comprehensive health and life insurance. We provide a generous pension scheme, ample paid time off, and significant opportunities for professional development, including conference attendance and advanced training. Our research facilities in Birmingham, West Midlands, UK are equipped with the latest technology. We foster a culture of continuous learning and offer support for individuals looking to expand their skillset. Relocation assistance is available.

• Lead the design and implementation of bioinformatics pipelines for analyzing diverse biological datasets (genomics, transcriptomics, proteomics).
• Develop and apply advanced computational and statistical methods for target identification and validation.
• Collaborate with medicinal chemistry and biology teams to support SAR analysis and hit-to-lead optimization.
• Build and maintain predictive models for drug properties, efficacy, and safety.
• Manage, curate, and analyze large biological datasets, ensuring data integrity and accessibility.
• Provide strategic direction for bioinformatics initiatives within the drug discovery program.
• Mentor and guide junior bioinformatics scientists.
• Stay abreast of the latest advancements in bioinformatics, computational biology, and drug discovery technologies.
• Contribute to scientific publications, presentations, and patent filings.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• Minimum of 7 years of relevant bioinformatics experience, with a significant portion in the pharmaceutical or biotechnology industry focusing on drug discovery.
• Proven track record of leading bioinformatics projects and delivering impactful results in a research environment.
• Expertise in programming languages such as Python or R, and experience with relevant bioinformatics libraries and tools.
• Strong understanding of statistical analysis, machine learning, and data mining techniques.
• Experience with large-scale data analysis platforms and cloud computing environments (e.g., AWS, Azure).
• Familiarity with common drug discovery workflows and data types.
• Excellent communication, collaboration, and problem-solving skills, crucial for remote work.
• Ability to effectively mentor and lead junior team members.
• Must be authorized to work in the UK and comfortable with a fully remote work arrangement.

• Lead the design, development, and validation of bioinformatics pipelines for high-throughput sequencing data (e.g., WGS, WES, RNA-Seq).
• Develop and apply advanced statistical and machine learning methods for variant calling, gene expression analysis, and pathway enrichment.
• Collaborate with computational biologists, geneticists, and clinicians to define research objectives and interpret results.
• Contribute to the development of precision medicine initiatives and personalized therapeutic strategies.
• Manage and mentor a team of bioinformatics scientists, fostering a collaborative and productive remote work environment.
• Ensure the scalability, reproducibility, and efficiency of bioinformatics workflows.
• Stay current with the latest advancements in bioinformatics, genomics, and computational biology.
• Communicate complex findings clearly to both technical and non-technical audiences.
• Contribute to grant writing and manuscript preparation.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of progressive experience in bioinformatics research, with a strong focus on human genomics.
• Proven expertise in developing and implementing bioinformatics pipelines using languages like Python and R.
• In-depth knowledge of genomic data analysis tools and databases (e.g., GATK, PLINK, Ensembl, TCGA).
• Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity).
• Strong understanding of statistical genetics, population genetics, and machine learning algorithms.
• Excellent communication and interpersonal skills, adapted for a remote working environment.
• Demonstrated leadership and team management capabilities.
• Experience with variant annotation and interpretation for clinical applications is a plus.