75 Bioinformatics Team Lead jobs in the United Kingdom
Remote Computational Biologist - Bioinformatics Lead
CB2 1AA Cambridge, Eastern
£70000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a pioneering biotechnology firm at the forefront of scientific discovery, is seeking a highly motivated and experienced Computational Biologist to lead their bioinformatics efforts in a fully remote capacity. This role is integral to unlocking insights from vast biological datasets, driving forward our research and development initiatives. You will be responsible for developing and implementing sophisticated computational pipelines for the analysis of genomic, transcriptomic, and proteomic data. Your expertise will be critical in identifying novel biomarkers, understanding disease mechanisms, and contributing to the discovery of new therapeutic targets. This position requires a strong foundation in biology, advanced statistical and programming skills, and a proven ability to manage complex bioinformatics projects.
Key Responsibilities:
Qualifications:
This is a unique opportunity to shape the future of biological research. This role is entirely remote, allowing you to work from any UK location, with our primary research facilities located in Cambridge, Cambridgeshire, UK .
Key Responsibilities:
- Design, develop, and maintain robust bioinformatics pipelines for large-scale omics data analysis (e.g., next-generation sequencing, mass spectrometry).
- Perform rigorous statistical analysis and interpretation of biological data to identify significant findings and patterns.
- Collaborate closely with experimental biologists, geneticists, and clinicians to translate research questions into computational strategies.
- Develop and implement algorithms for data processing, quality control, and visualization.
- Contribute to the design of experiments and provide guidance on data collection strategies.
- Stay abreast of the latest advancements in bioinformatics tools, algorithms, and biological research.
- Manage bioinformatics projects, ensuring timely delivery of results and clear communication with stakeholders.
- Mentor and guide junior computational biologists and data scientists within the team.
- Contribute to scientific publications and presentations based on research findings.
- Ensure data integrity, security, and compliance with relevant regulations.
Qualifications:
- PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
- Minimum of 5 years of post-doctoral or industry experience in computational biology/bioinformatics.
- Extensive experience with various omics data types (genomics, transcriptomics, proteomics, etc.) and their analysis.
- 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 high-performance computing environments and cloud platforms.
- Familiarity with bioinformatics databases and public repositories.
- Excellent problem-solving skills and the ability to work independently in a remote setting.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- A proactive and collaborative mindset, with a passion for driving scientific innovation.
This is a unique opportunity to shape the future of biological research. This role is entirely remote, allowing you to work from any UK location, with our primary research facilities located in Cambridge, Cambridgeshire, UK .
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0
Senior Computational Biologist - Bioinformatics Lead
WC1N London, London
£70000 Annually
WhatJobs
Posted 21 days ago
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Job Description
Our client, a cutting-edge biotechnology firm focused on groundbreaking scientific discovery, is seeking a highly motivated and experienced Senior Computational Biologist to lead their bioinformatics initiatives. This is a fully remote position, allowing you to contribute from anywhere within the UK. You will play a pivotal role in designing, implementing, and managing complex bioinformatics pipelines and analytical strategies to support diverse research projects, including genomics, transcriptomics, and proteomics. Your expertise will be crucial in extracting meaningful insights from large-scale biological datasets, driving hypothesis generation, and accelerating the pace of discovery.
Key responsibilities include:
The ideal candidate will hold a PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with at least 5-7 years of post-doctoral or industry experience. A strong programming background in Python and R, proficiency with Unix/Linux environments, and experience with cloud computing platforms (AWS, GCP, Azure) are essential. Demonstrated experience with various biological databases, sequence alignment tools, variant callers, and gene expression analysis packages is required. Proven ability to manage complex projects, work independently, and communicate effectively in a remote setting is paramount. You will be expected to contribute significantly to strategic research directions and mentor team members, all within a remote-first operational framework.
Key responsibilities include:
- Developing, optimizing, and maintaining scalable bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Designing and executing sophisticated statistical and computational analyses to interpret complex biological datasets.
- Collaborating closely with experimental biologists, geneticists, and clinicians to define research questions and analytical approaches.
- Implementing machine learning algorithms and advanced statistical methods to identify patterns, biomarkers, and therapeutic targets.
- Developing and maintaining robust data management strategies, ensuring data integrity, reproducibility, and accessibility.
- Creating clear and concise visualizations and reports to communicate findings to both technical and non-technical audiences.
- Mentoring junior bioinformaticians and computational biologists, fostering a collaborative and knowledge-sharing environment.
- Evaluating and integrating new computational tools and technologies to enhance analytical capabilities.
- Contributing to grant applications and scientific publications.
- Staying current with the latest research and technological advancements in bioinformatics, computational biology, and related fields.
The ideal candidate will hold a PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with at least 5-7 years of post-doctoral or industry experience. A strong programming background in Python and R, proficiency with Unix/Linux environments, and experience with cloud computing platforms (AWS, GCP, Azure) are essential. Demonstrated experience with various biological databases, sequence alignment tools, variant callers, and gene expression analysis packages is required. Proven ability to manage complex projects, work independently, and communicate effectively in a remote setting is paramount. You will be expected to contribute significantly to strategic research directions and mentor team members, all within a remote-first operational framework.
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Principal Computational Biologist - Bioinformatics Lead
SW1A 0AA London, London
£90000 Annually
WhatJobs
Posted 22 days ago
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Job Description
Our client, a pioneering force in the biomedical research landscape, is seeking a visionary Principal Computational Biologist to lead critical bioinformatics initiatives. This is a fully remote, senior-level position designed for an individual passionate about driving scientific discovery through advanced data analysis and computational methods. You will be instrumental in shaping the strategic direction of our bioinformatics pipeline, focusing on large-scale genomic and proteomic datasets. Your expertise will be crucial in developing and implementing novel analytical frameworks to uncover biological insights, identify potential therapeutic targets, and advance our understanding of complex diseases. The role involves close collaboration with multidisciplinary research teams, including molecular biologists, geneticists, and clinicians, all operating within a virtual environment. You will be expected to mentor junior scientists, present findings at international conferences, and contribute to high-impact publications. The ideal candidate will possess a PhD in Bioinformatics, Computational Biology, or a related quantitative field, coupled with extensive experience in handling and analyzing diverse biological data types, such as next-generation sequencing (NGS) data, single-cell data, and mass spectrometry data. A deep understanding of statistical modeling, machine learning algorithms, and data visualization techniques is essential. Proficiency in programming languages like Python or R, and experience with high-performance computing (HPC) environments and cloud platforms (e.g., AWS, Azure) are mandatory. You should have a strong publication record and a history of successfully leading complex bioinformatics projects from conception to completion. This role requires excellent communication and leadership skills, the ability to foster innovation, and a commitment to maintaining the highest scientific integrity. As a remote-first role, you will thrive in an environment that values autonomy, collaboration, and impactful research.
Responsibilities:
Responsibilities:
- Lead the design and execution of cutting-edge bioinformatics analyses for large-scale biological datasets (genomics, transcriptomics, proteomics, etc.).
- Develop and implement novel computational algorithms and statistical models to address complex biological questions.
- Manage and mentor a team of bioinformatics scientists, fostering a collaborative and innovative research environment.
- Collaborate closely with experimental biologists and clinicians to interpret data and translate findings into actionable insights.
- Oversee the development and maintenance of robust bioinformatics pipelines and databases.
- Stay abreast of the latest advancements in computational biology, machine learning, and relevant scientific fields.
- Contribute to the preparation of grant proposals, research publications, and presentations at scientific meetings.
- Ensure the quality, reproducibility, and integrity of all computational analyses.
- Troubleshoot complex computational challenges and provide solutions to research teams.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Significant experience (8+ years) in bioinformatics research, with a strong focus on data analysis and algorithm development.
- Proven expertise in handling and analyzing next-generation sequencing (NGS) data.
- Strong proficiency in programming languages (e.g., Python, R) and bioinformatics tools.
- Experience with statistical software and machine learning techniques.
- Familiarity with high-performance computing (HPC) and cloud computing environments.
- Excellent leadership, communication, and interpersonal skills.
- Demonstrated ability to manage projects and mentor junior researchers.
- Strong publication record in peer-reviewed journals.
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Lead Bioinformatics Scientist
SO15 0AA Southampton, South East
£70000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a pioneering force in biotechnology, is looking for a Lead Bioinformatics Scientist to join their innovative research team. This is a fully remote position, offering the flexibility to work from anywhere within the UK. You will play a crucial role in the analysis of complex biological datasets, including genomics, transcriptomics, and proteomics, to drive significant research breakthroughs. Responsibilities include developing and implementing advanced computational and statistical methods, managing large-scale data pipelines, and interpreting results to provide actionable insights. You will collaborate with molecular biologists, geneticists, and other research scientists, translating biological questions into computational approaches. The ideal candidate will possess deep expertise in scripting languages (Python, R), database management, and familiarity with cloud computing platforms (AWS, GCP, Azure). Experience with machine learning techniques applied to biological data is highly desirable. You will be expected to lead specific research projects, mentor junior scientists, and contribute to scientific publications and grant proposals. This role requires a PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field, with a minimum of 5 years of relevant post-doctoral or industry experience. A strong publication record and excellent communication skills are essential for this remote-first role. We are looking for someone with a proactive approach to problem-solving and a passion for advancing scientific knowledge through data-driven discovery. This is an exceptional opportunity to contribute to cutting-edge research from the comfort of your own home, making a tangible impact on the future of scientific understanding.
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3
Lead Bioinformatics Scientist
BS1 4AG Bristol, South West
£70000 Annually
WhatJobs
Posted 12 days ago
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Job Description
Our client is at the forefront of scientific innovation and is seeking an accomplished Lead Bioinformatics Scientist to spearhead their research and development efforts in Bristol, South West England, UK . This pivotal role will involve leading a team of highly skilled bioinformaticians in the analysis of complex biological datasets, driving novel discoveries, and contributing to the development of cutting-edge scientific solutions. You will be instrumental in developing and implementing advanced computational strategies, algorithms, and pipelines for the interpretation of genomic, transcriptomic, and proteomic data. A significant part of your responsibility will be to guide the team in identifying key biological insights, biomarkers, and potential therapeutic targets. This involves close collaboration with molecular biologists, geneticists, and other R&D personnel to integrate computational findings with experimental results. The Lead Bioinformatics Scientist will also be responsible for managing research projects, ensuring timely delivery of high-quality analyses, and presenting findings to both technical and non-technical audiences. Experience in managing and mentoring scientific teams is essential, as is a proven ability to foster an environment of collaboration, innovation, and scientific excellence. You will contribute to the strategic planning of research initiatives, identify opportunities for technological advancements, and stay abreast of the latest developments in bioinformatics and computational biology. The ideal candidate will possess a strong understanding of statistical genetics, machine learning, and large-scale data analysis. Proficiency in programming languages such as Python, R, and shell scripting, along with experience in cloud computing environments, is highly desirable. This is an exciting opportunity to join a leading research organization located in the vibrant scientific hub of Bristol, South West England, UK , and to make a significant impact on the future of scientific discovery. We are looking for a visionary leader with a passion for data-driven research and a commitment to pushing the boundaries of biological understanding. Your expertise will be crucial in translating vast amounts of biological data into meaningful scientific advancements.
Responsibilities:
Responsibilities:
- Lead and mentor a team of bioinformaticians.
- Develop and implement advanced bioinformatics pipelines and algorithms.
- Analyze large-scale omics datasets (genomics, transcriptomics, proteomics).
- Collaborate with R&D teams to integrate computational and experimental findings.
- Manage bioinformatics research projects and ensure timely delivery.
- Present complex scientific data to diverse audiences.
- Contribute to research strategy and identify new analytical approaches.
- Stay current with emerging trends in bioinformatics and computational biology.
- PhD in Bioinformatics, Computational Biology, Computer Science, or a related field.
- At least 8 years of experience in bioinformatics, with a significant portion in a leadership role.
- Proven experience in managing scientific teams and projects.
- Expertise in analyzing high-throughput sequencing data.
- Strong programming skills (Python, R, etc.) and experience with big data technologies.
- Familiarity with machine learning techniques and statistical genetics.
- Excellent communication and presentation skills.
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4
Lead Bioinformatics Scientist
RG1 1DA Reading, South East
£60000 Annually
WhatJobs
Posted 13 days ago
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Job Description
Our client, a pioneering research institution in Reading, Berkshire, UK , is looking for a highly motivated and experienced Lead Bioinformatics Scientist to drive cutting-edge research and development. This pivotal role involves designing and implementing advanced computational strategies to analyze complex biological datasets, contributing to groundbreaking discoveries. The successful candidate will lead a team of bioinformaticians, providing technical guidance, mentorship, and project management oversight. Responsibilities include developing and validating novel algorithms and pipelines for genomic, transcriptomic, and proteomic data analysis. You will collaborate closely with molecular biologists, geneticists, and clinicians to interpret results and translate findings into actionable scientific insights. Expertise in programming languages such as Python, R, and/or Perl, along with experience in scripting and workflow management tools like Snakemake or Nextflow, is essential. A deep understanding of statistical methods, machine learning, and database management within a biological context is required. The role demands a strong track record of publications in peer-reviewed journals and experience presenting research at international conferences. Familiarity with cloud computing platforms (AWS, GCP, Azure) and high-performance computing (HPC) environments is highly beneficial. The ideal candidate will possess excellent problem-solving skills, a proactive approach to research, and the ability to foster a collaborative and innovative team environment. A PhD in Bioinformatics, Computational Biology, Computer Science, or a closely related field, coupled with significant post-doctoral or industry experience, is a prerequisite. Join our client in Reading and be at the forefront of scientific innovation.
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5
Lead Bioinformatics Scientist
NE1 7RU Newcastle upon Tyne, North East
£70000 Annually
WhatJobs
Posted 15 days ago
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Job Description
Our client is a cutting-edge research institution at the forefront of genomic discovery, seeking a Lead Bioinformatics Scientist to join their dynamic team. This role is integral to our mission of deciphering complex biological datasets and driving innovation in scientific research and development. The successful candidate will leverage advanced computational approaches to analyse large-scale omics data, including genomics, transcriptomics, and proteomics, from diverse biological systems. You will be instrumental in developing and implementing novel algorithms and pipelines for data processing, quality assessment, and biological interpretation. Collaboration is key in this role; you will work closely with molecular biologists, geneticists, and clinicians to translate raw data into actionable biological insights and contribute to publications and grant proposals. Responsibilities include leading bioinformatics projects, mentoring junior scientists, and staying abreast of the latest advancements in computational biology and bioinformatics tools. The ideal candidate possesses a PhD in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, coupled with extensive experience in handling and analysing high-throughput sequencing data. A strong understanding of statistical genetics, machine learning techniques, and experience with cloud computing platforms (AWS, Azure, GCP) are highly desirable. This position is located in **Newcastle upon Tyne, Tyne and Wear, UK**, with a hybrid working arrangement offering a blend of on-site collaboration and remote flexibility.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement bioinformatics pipelines for analysing large-scale omics datasets.
- Perform statistical analysis and interpretation of genomic, transcriptomic, and proteomic data.
- Develop and apply machine learning algorithms for biological pattern discovery.
- Collaborate with experimental scientists and clinicians to define research questions and analytical strategies.
- Contribute to the design of experiments and data acquisition strategies.
- Mentor and guide junior bioinformaticians and research staff.
- Prepare technical reports, manuscripts for publication, and contribute to grant writing.
- Maintain and enhance existing bioinformatics infrastructure and databases.
- Present research findings at scientific conferences and internal meetings.
- Ensure data integrity, reproducibility, and compliance with relevant standards.
- PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
- Demonstrated expertise in handling and analysing next-generation sequencing (NGS) data.
- Proficiency in programming languages such as Python, R, and associated bioinformatics libraries.
- Experience with common bioinformatics tools and databases.
- Strong knowledge of statistical methods and machine learning applied to biological data.
- Experience with Unix/Linux environments and shell scripting.
- Excellent problem-solving abilities and a strong research mindset.
- Proven ability to work effectively in a collaborative, interdisciplinary team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Strong written and verbal communication skills.
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Lead Bioinformatics Scientist
NR4 7TJ Norwich, Eastern
£70000 Annually
WhatJobs
Posted 18 days ago
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Job Description
Our client, a cutting-edge research institution, is seeking an exceptional Lead Bioinformatics Scientist to spearhead innovative projects in Norwich, Norfolk, UK . This role is ideal for a seasoned researcher passionate about leveraging computational approaches to drive biological discovery. You will lead a team of bioinformaticians and computational biologists, guiding research strategies, mentoring junior staff, and ensuring the successful execution of complex analysis pipelines. The focus will be on developing and applying advanced analytical methods to large-scale genomic, transcriptomic, and proteomic datasets.
Key responsibilities include designing and implementing bioinformatics workflows, managing data resources, and collaborating with experimental scientists to interpret results and generate novel hypotheses. You will be responsible for staying at the forefront of bioinformatics tools and methodologies, identifying opportunities for innovation, and publishing research findings in high-impact scientific journals. This role requires a strong understanding of statistical genetics, machine learning, and algorithm development relevant to biological data. You will also play a crucial role in securing funding through grant applications and contributing to the scientific strategy of the department.
The successful candidate will possess a PhD in Bioinformatics, Computational Biology, Computer Science, or a closely related field, with a substantial publication record. A minimum of 7 years of post-doctoral research experience, with demonstrable leadership responsibilities, is essential. Expertise in programming languages such as Python, R, and Perl, along with experience in shell scripting and high-performance computing environments, is required. Familiarity with various biological databases and sequence analysis tools is a must. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent communication and collaboration skills are necessary to effectively interact with diverse scientific teams. This is a lab-based position requiring full-time presence at our state-of-the-art facility.
Qualifications:
Key responsibilities include designing and implementing bioinformatics workflows, managing data resources, and collaborating with experimental scientists to interpret results and generate novel hypotheses. You will be responsible for staying at the forefront of bioinformatics tools and methodologies, identifying opportunities for innovation, and publishing research findings in high-impact scientific journals. This role requires a strong understanding of statistical genetics, machine learning, and algorithm development relevant to biological data. You will also play a crucial role in securing funding through grant applications and contributing to the scientific strategy of the department.
The successful candidate will possess a PhD in Bioinformatics, Computational Biology, Computer Science, or a closely related field, with a substantial publication record. A minimum of 7 years of post-doctoral research experience, with demonstrable leadership responsibilities, is essential. Expertise in programming languages such as Python, R, and Perl, along with experience in shell scripting and high-performance computing environments, is required. Familiarity with various biological databases and sequence analysis tools is a must. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent communication and collaboration skills are necessary to effectively interact with diverse scientific teams. This is a lab-based position requiring full-time presence at our state-of-the-art facility.
Qualifications:
- PhD in Bioinformatics, Computational Biology, or a related field.
- Minimum of 7 years of relevant post-doctoral research experience.
- Proven experience in leading research projects and mentoring staff.
- Expertise in statistical analysis, machine learning, and data mining for biological data.
- Proficiency in programming languages (Python, R, Perl) and shell scripting.
- Experience with genomic and transcriptomic data analysis.
- Excellent scientific writing and presentation skills.
- Ability to thrive in a collaborative research environment.
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7
Lead Bioinformatics Scientist
BT1 5GB Belfast, Northern Ireland
£75000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client, a pioneering organization at the intersection of biology and technology, is seeking a talented Lead Bioinformatics Scientist. This hybrid role, based in Belfast, Northern Ireland, UK , offers a blend of remote flexibility and essential in-office collaboration. You will spearhead the development and application of computational tools and algorithms to analyze large-scale biological datasets, driving innovation in scientific research and development. This position requires a deep understanding of biological systems and advanced computational skills.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design and implementation of computational and statistical approaches for analyzing complex biological data (genomics, transcriptomics, proteomics, etc.).
- Develop and maintain scalable bioinformatics pipelines and workflows for data processing and analysis.
- Collaborate closely with experimental biologists, geneticists, and other research scientists to interpret data and generate actionable insights.
- Supervise and mentor junior bioinformaticians and data scientists.
- Contribute to the development of research strategies and grant proposals.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Present research findings at internal meetings and external scientific conferences.
- Ensure the quality, reproducibility, and security of bioinformatics data and analyses.
- Develop and implement novel algorithms and statistical methods for biological data analysis.
- Manage computational resources and infrastructure in collaboration with IT teams.
- Contribute to the development of scientific publications and intellectual property.
Qualifications:
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- A minimum of 6 years of post-doctoral experience in bioinformatics or computational biology, with significant experience in a leadership or supervisory role.
- Proven expertise in analyzing large-scale genomic, transcriptomic, or proteomic datasets.
- Proficiency in programming languages such as Python, R, and/or Perl.
- Strong experience with standard bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
- Familiarity with machine learning techniques and their application in biological data analysis.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Excellent understanding of molecular biology and genetics.
- Strong statistical and analytical skills.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work effectively in a collaborative, interdisciplinary research environment, balancing remote and office-based work.
- Experience with next-generation sequencing (NGS) data analysis is essential.
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8
Lead Bioinformatics Scientist
LS1 1UR Leeds, Yorkshire and the Humber
£60000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client, a cutting-edge research and development organisation focused on groundbreaking scientific advancements, is seeking a highly skilled Lead Bioinformatics Scientist to join their innovative team in Leeds, West Yorkshire, UK . This role offers a hybrid working model, combining the collaborative environment of our state-of-the-art laboratories with the flexibility of remote work. The successful candidate will play a pivotal role in the analysis of large-scale biological datasets, including genomics, transcriptomics, and proteomics. You will be responsible for developing and implementing advanced computational and statistical methods to extract meaningful insights, drive research hypotheses, and contribute to scientific publications and discoveries. This position requires a deep understanding of bioinformatics pipelines, data integration techniques, and machine learning algorithms. You will lead a team of bioinformatics specialists, mentor junior researchers, and collaborate closely with molecular biologists, geneticists, and clinicians. The ideal candidate will possess excellent programming skills (e.g., Python, R), extensive experience with relevant bioinformatics tools and databases, and a strong publication record. A proactive approach to problem-solving, the ability to interpret complex biological data, and strong communication skills are essential. You will be instrumental in shaping the direction of research projects and translating complex data into actionable scientific knowledge within the fields of genomics and personalized medicine. This role is central to our client's R&D efforts in Leeds, West Yorkshire, UK . Key responsibilities:
- Lead the design and execution of bioinformatics analyses for large-scale biological datasets (genomics, transcriptomics, proteomics).
- Develop, optimise, and implement robust computational pipelines and algorithms.
- Integrate diverse datasets to identify key biological insights and generate testable hypotheses.
- Apply statistical and machine learning methods to complex biological problems.
- Mentor and manage a team of bioinformatics scientists and analysts.
- Collaborate effectively with interdisciplinary research teams (biologists, clinicians, statisticians).
- Interpret results, prepare high-quality reports, and present findings to scientific audiences.
- Contribute to the writing of research grants and scientific publications.
- Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Manage project timelines and resources effectively.
- PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Significant experience in leading bioinformatics projects and teams.
- Expertise in analysing large-scale omics data (e.g., next-generation sequencing data).
- Proficiency in programming languages such as Python, R, and shell scripting.
- Experience with bioinformatics databases, tools, and workflows (e.g., Bioconductor, Galaxy).
- Strong understanding of statistical principles and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and interpersonal skills, with the ability to explain complex concepts to diverse audiences.
- Proven track record of publications in peer-reviewed journals.
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