1 to 10 of 10 Permanent Computational Biology Jobs in England

the lives of cancer patients through early diagnosis. Following another successful round of funding, they are now seeking an experienced Bioinformatician to join their computational team. You will be an experienced Bioinformatician, with roots in maths and statistics. Exposure to machine learning tools will be advantageous but not a … for improving probe efficiency and selectivity. Providing insights into data that improves assay performance. Develop high quality code. Ideally you will have: PhD in computational biology/bioinformatics/other related field Post doc or industry experience post PhD Strong background in maths and statistics Experience working within … considered as we are looking to fill this role as soon as possible! Keywords: Bioinformatics/Bioinformatician/Data Scientist/Data Science/Computational biology/Computational biologist/Statistics/Maths/ML/Machine learning/Genomics/NGS/Next generation sequencing/ more »

communicating results to diverse teams. Ensuring data and analytics integrity by adhering to best practices. You will bring the following: Ph.D. in Bioinformatics/Computational Biology, or a related field, with over 3 years of post-degree experience Strong programming and scripting skills in R and/or more »

Director of Bioinformatics and Computational Biology This position is a Hybrid position with office located in the South of the UK. At Harreda Talent Partners, we take pride in partnering with dynamic biotechnology companies that are revolutionizing the genomics industry. Our client, is at the forefront of developing … innovative methods for next-generation sequencing and advanced computational analysis. Their mission is to transform healthcare and scientific discovery through cutting-edge technology and groundbreaking research. Position Summary: The Director of Bioinformatics and Computational Biology will lead a team of computational biologists and data scientists, focusing … members and nurturing a collaborative environment. Knowledge, Skills, and Abilities: Comprehensive understanding of applications of NGS, and technical and clinical limitations. Strong background in computational biology, oncology, and molecular biology within industry commercial Diagnostic, Genomic, or Biopharma Industry. Scientific software development experience (Python, MATLAB, C, C++, or more »

collaborate with other members of the BioAI and Research departments, as well as strategic partners such as BioNTech, to advance our understanding of structural biology with ML. You will bring experience Cryo-EM and ET and play a key role in both developing fundamental research and bringing these technologies … you will require the legal right to work in the location you are applying for. Responsibilities: Collaborate within in-house and external experts in computational and structural biology, and machine-learning, to implement, develop and test new technologies. Use established tools and databases to build, explore and analyse … clearly and effectively, both internally and externally, verbally and in writing. Contribute to the team's publication efforts. Required Skills: M.S./PhD in Computational Biology, Machine Learning or a related scientific field. Experience with structure resolution in cryo-EM or ET. Proficient in writing clean and maintainable more »

Principal Computational Biologist £75-90,000 salary DOE Mostly remote (must be UK resident and able to commute to London once or twice a month) Full-time, permanent Principal Computational Biologist Profile We are looking for an exceptional Principal Computational Biologist to join their growing team on … You will lead advanced modelling methods, with a focus on generating novel target recommendations, validating them in models, and translating them into therapeutics. Principal Computational Biologist key responsibilities: – Lead the ‘advanced modelling’ workstreams, and be the point of contact and a role model for advanced modelling within the company. … Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping and/or omics data in close collaboration with wet-lab scientists. – Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development, Product & Project more »

and highly-motivated scientists to join its Faculty to develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular working at the interface of artificial intelligence and biology. Women, who are under-represented in our Faculty, are especially being more »

by harnessing the regenerative capabilities of human pluripotent stem cells. As a fast-paced biotech startup, we are looking for a Principal Scientist in Computational Biology who shares our vision of a future where health is our default state and is excited about the opportunity to make a … high dimension NGS data including both bulk and single-cell RNA-seq and ATAC-seq data from pooled CRISPR screens. Provide input to the computational biology strategy and take responsibility for its day-to-day execution working with cross-functional partners and leadership teams. Build data collection, data … Work with bench scientists by guiding experimental workflows and quantitative measurement to ensure statistical rigor and help build data visualizations. Qualifications: PhD in bioinformatics, computational biology, system biology, or a related field. Minimum of 6 years of post-PhD life sciences research experience, of which at least more »

evaluations, where every line of code you write propels you closer to ground breaking insights. Get ready to revolutionise the way we understand cellular biology and pave the way for a future where every experiment holds the promise to aid global sustainability! We’re growing our Data Science team … have an M.Sc. or PhD in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Science You’ll have worked in an industry-setting, preferably biopharma/biotech with a track record of applying ML … data visualization and dimensionality reduction algorithms Ability to develop, benchmark and apply predictive algorithms to generate hypotheses Comfortable working in cloud and high-performance computational environments (e.g. GCP, AWS) Desirable, but not essential, an understanding of mammalian cell line and bioprocess development Work collaboratively, you'll establish and maintain more »

I'm working with a pioneering biotechnology firm equipped with a groundbreaking proprietary computational platform tailored to revolutionise drug discovery. They’re looking for a Principal AI Scientist/Engineer to take their cutting-edge platform technology to the next level. The role will focus on, AI-driven innovations … across the board, supporting the implementation of the next generation of their computational drug discovery and siRNA platforms. Role: -Responsibility for co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP. -Responsibility for software and data engineering projects and development/… maintenance of computational platform infrastructure to support AI-driven drug discovery. -Enhancing platform engineering solutions to aid bioinformaticians, computational biologists, chemists, and analysts in utilising AI tools for exploring and visualising internal and external data. Requirements: -Experience with NLP and Large Language Models. -High level programming skills in more »

and highly-motivated scientists to join its Faculty to develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular working at the interface of artificial intelligence and biology. Women, who are under-represented in our Faculty, are especially being … encouraged to apply. EMBL-EBI is a global leader in computational biology and bioinformatics. Our research groups develop and apply computational approaches to answer fundamental and applied questions, ranging from studying how the genome has evolved through to how the microbiome affects our health and the impact … of protein structure on drug responses. From a computational perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are more »