2 Research Fellow jobs in London
Senior Postdoctoral Research Fellow in Genomics
SW1A 0AA London, London
£45000 annum (pro
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a leading research institution, is looking for a highly motivated and experienced Senior Postdoctoral Research Fellow to join their cutting-edge genomics research group based in London, England, UK . This is an exciting opportunity for a talented scientist to contribute to groundbreaking research in the field of human genomics, focusing on the genetic basis of complex diseases. The role will involve designing and executing experiments, analysing large-scale genomic datasets, and collaborating with a multidisciplinary team of scientists and clinicians. The successful candidate will be expected to take a leading role in specific research projects, mentor junior researchers, and contribute to manuscript preparation and grant writing.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead independent research projects focused on human genomics, including study design, experimental execution, and data analysis.
- Utilise advanced bioinformatics tools and computational methods to analyse next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-seq).
- Develop and implement novel analytical pipelines for genomic data.
- Interpret complex genomic findings in the context of human disease and biological mechanisms.
- Collaborate with clinicians and other researchers to translate genomic discoveries into clinical applications.
- Author high-impact publications in peer-reviewed journals.
- Present research findings at international conferences and seminars.
- Supervise and mentor junior postdoctoral researchers, PhD students, and research assistants.
- Contribute to the writing of grant proposals to secure funding for future research.
- Maintain detailed laboratory notebooks and ensure data integrity and reproducibility.
- Stay current with the latest advancements in genomics, bioinformatics, and relevant biological fields.
Qualifications:
- PhD in Genomics, Genetics, Bioinformatics, Molecular Biology, or a closely related field.
- A strong publication record in reputable peer-reviewed journals.
- Demonstrated expertise in human genomics, including experience with NGS data analysis.
- Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R).
- Experience with statistical genetics and population genetics principles.
- Familiarity with human genetic variation databases and annotation tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex scientific information clearly.
- Proven ability to work independently and as part of a collaborative research team.
- Experience in supervising or mentoring junior researchers is highly desirable.
- Experience with specific disease areas (e.g., cancer, neurological disorders, cardiovascular disease) is a plus.
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Machine Learning Researcher in Bioinformatics (Research Fellow)
London, London
King's College London
Posted 1 day ago
Job Viewed
Job Description
About the Role
We are looking for an ambitious and talented postdoctoral researcher to join the Zelezniak Lab at King’s College London. Our lab sits at the forefront of synthetic biology and AI, creating next-generation tools for DNA, protein, and genome engineering. We aim to unravel the logic of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You will work with cutting-edge AI approaches to design cellular phenotypes and optimise biochemical reactions. We welcome applicants from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning.nThe project offers a unique opportunity to collaborate closely with experimental scientists and contribute to translational advances in synthetic biology and AI.nThis is a full time role (35 hours per week), and you will be offered a fixed term contract until 1st September 2028 starting no sooner than 1st November 2025.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:nPhD in bioinformatics, computational biology, or a related disciplinenExtensive experience and expertise in applying/developing and training deep learning models on biological, chemical or related datasetsnProficiency in Python for data science and machine learningnPossess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models)nProved experience in working independently and as part of a multidisciplinary teamnEvidence of strong communication and scientific writing skillsnEvidence of publication track recordnExtensive experience and expertise in version control (e.g., Git) and reproducible research practicesnExperience working with generative models or large language modelsnExperience with large scale GPU-based model training and cloud computingnKnowledge of synthetic biology or regulatory sequence designnPrevious collaboration with experimental biologists or interdisciplinary teams
Compensation
This range is provided by King’s College London. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Seniority level
Associate
Employment type
Full-time
Job function
Research
Industries
Higher Education
#J-18808-Ljbffrn
We are looking for an ambitious and talented postdoctoral researcher to join the Zelezniak Lab at King’s College London. Our lab sits at the forefront of synthetic biology and AI, creating next-generation tools for DNA, protein, and genome engineering. We aim to unravel the logic of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You will work with cutting-edge AI approaches to design cellular phenotypes and optimise biochemical reactions. We welcome applicants from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning.nThe project offers a unique opportunity to collaborate closely with experimental scientists and contribute to translational advances in synthetic biology and AI.nThis is a full time role (35 hours per week), and you will be offered a fixed term contract until 1st September 2028 starting no sooner than 1st November 2025.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:nPhD in bioinformatics, computational biology, or a related disciplinenExtensive experience and expertise in applying/developing and training deep learning models on biological, chemical or related datasetsnProficiency in Python for data science and machine learningnPossess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models)nProved experience in working independently and as part of a multidisciplinary teamnEvidence of strong communication and scientific writing skillsnEvidence of publication track recordnExtensive experience and expertise in version control (e.g., Git) and reproducible research practicesnExperience working with generative models or large language modelsnExperience with large scale GPU-based model training and cloud computingnKnowledge of synthetic biology or regulatory sequence designnPrevious collaboration with experimental biologists or interdisciplinary teams
Compensation
This range is provided by King’s College London. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Seniority level
Associate
Employment type
Full-time
Job function
Research
Industries
Higher Education
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
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