51 to 75 of 163 Permanent Bioinformatics Jobs

generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem-solving skills and critical thinking Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), and cloud deployment experience Familiarity with Agile methodologies If you're interested in joining as our new Head of AI, we More ❯

GPUs or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from More ❯

GPUs or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from More ❯

real autonomy, and to shape how data is handled across the company. What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one More ❯

closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable Knowledge Or Experiences Familiarity with More ❯

stages and HR, HRV, etc). Includes working cross functionally with product, marketing, and software teams. What You'll Need To Succeed Bachelor’s degree in Data Science, Biostatistics, Bioinformatics, Physiology, or similar 2 years of work experience as a Data Scientist, including 1+ years of human physiology data analysis in wearables. Minimum 2 years coding experience in Python or More ❯

the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world-changing projects, you will do more and become more than you ever thought possible. Senior Bioinformatics Scientist Cambridge Hub and Hybrid We have an exciting new opportunity for a talented Senior Bioinformatics Scientist to join our Illumina team based in Cambridge to support bringing the power … targeted (enriched/amplicon) germline, WGS and targeted somatic (T/N and tumor-only), DNA/RNA, small variants, CNV, and structural variants. Why you As a Senior Bioinformatics Scientist, you will be responsible for developing novel methods to extract biological meaning from genomic samples. You will design solutions and implement them in software in collaboration with others in … to expertise in genomics, next generation sequencing, and a broad ecosystem of related assays and biotechnologies. Our ideal candidate will have a track record of both innovative and pragmatic bioinformatics methods development and delivery, be a proven team player with leadership skills and experience and have the following: Expertise in genomics and experience with analyzing error modes and actionable signal More ❯

Discovery Venture and seeking driven, curious, and creative leaders to help shape the practice area, collaborate across ZS’s R&D teams, and lead a rapidly growing global team. BIOINFORMATICS MANAGER - ZS DISCOVERY The Bioinformatics Manager will be responsible for contributing to the growth of the Venture by applying scientific and technical expertise to generate new Discovery opportunities, build long … junior members of the team, manage and collaborate with an extended global team of diverse skill sets. What You’ll Bring Demonstrated advanced expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems biology. Demonstrated leadership the use of in silico approaches to improve drug More ❯

Best Workplaces for Women, Best Workplaces for Millennials, and Best Medium Workplaces lists. Summary Insmed Cambridge is looking for a talented Data Scientist or Statistician to join our growing bioinformatics team! Apply your expertise in data science, statistics and programming to accelerate drug discovery and development across diverse projects. Responsibilities Apply analytical and statistical rigour to enable better decision making More ❯

cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics tasks Development and maintenance of specific assays and protocols, including but not limited to; RNA/cDNA sequencing sample prep; transcriptome sequencing; multiplexing; sequence capture/enrichment; modified base detection … nucleic acid for RNA and/or DNA sequencing, including designing and generating synthetic oligonucleotides and/or transcripts Generating sequencing data for downstream bioinformatic analysis Collaborating closely with bioinformatics/software development teams to provide required sequencing data to a defined experimental design Share experimental findings with collaborators: this may involve crafting protocols for publication. Generate and curate QC More ❯

cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics tasks Development and maintenance of specific assays and protocols, including but not limited to; RNA/cDNA sequencing sample prep; transcriptome sequencing; multiplexing; sequence capture/enrichment; modified base detection … nucleic acid for RNA and/or DNA sequencing, including designing and generating synthetic oligonucleotides and/or transcripts Generating sequencing data for downstream bioinformatic analysis Collaborating closely with bioinformatics/software development teams to provide required sequencing data to a defined experimental design Share experimental findings with collaborators: this may involve crafting protocols for publication. Generate and curate QC More ❯

developing predictive machine learning algorithms (e.g., Random Forest, Neural Networks). Proficiency in SQL (preferably MySQL) and database management for engineering data storage Experience working with biomedical data science, bioinformatics or diagnostics is desired but not essential What's on Offer This is a fantastic opportunity to join an innovative and growing biotech developing cutting-edge technology. #J-18808-Ljbffr More ❯

technical and non-technical audiences (both internally and externally) • Interest in continuous improvement of processes by integrating innovative solutions Education MSc or PhD in data sciences, statistics, bioprocess engineering, Bioinformatics, Engineering or related discipline. #J-18808-Ljbffr More ❯

for FMI. Working across project teams, the role will involve the use of cutting-edge computational methods (structure/ligand-based design, AI/ML, virtual screening, chemo/bioinformatics, data-mining etc.) to effectively advance programs with creative solutions and insights. The post will require a dynamic self-starter with an eagerness to learn who will be an integral More ❯

real autonomy, and to shape how data is handled across the company. What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one More ❯

format to apply for this job online or have any queries about the application process, please contact Biosciences staffing at . About you You must have a PhD in bioinformatics, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected More ❯

closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity with More ❯

architectures. Collaborate with experimental teams to design and validate computational hypotheses. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable Knowledge Or Experiences Familiarity with More ❯

Provide strategic guidance to GBI leadership, advising on future computing needs, emerging technologies, and strategies for digital transformation in scientific research. Minimum Qualifications: A PhD (or equivalent experience) in bioinformatics, or extensive experience of a breadth of software development, architecture and implementation. Extensive experience in managing scientific computing environments, including expertise in high-performance computing, cloud computing, and large-scale More ❯

working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for A post-graduate degree in machine learning, statistics, computer science, cheminformatics, bioinformatics, chemistry, biology, genetics, medicine or a similar area. Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python More ❯

Permanent £50,000 - £80,000 Site Based Cambridge, Cambridgeshire, United Kingdom Updated on: 04-04-2025 ROLE OVERVIEW We are currently looking for a Senior Bioinformatics Software Developer to join a leading biotechnology company based in the Cambridge area. As the Senior Bioinformatics Software Developer, you will be responsible for developing and enhancing the company's proprietary profiling platform, which … supports drug discovery based on clinical data. KEY DUTIES AND RESPONSIBILITIES: Design and develop bioinformatics analysis tools and workflows. Implement production pipelines in a managed compute environment. Optimise and streamline production pipelines and processes to meet industry standards. Evaluate and implement new tools and technologies to improve and extend platform capabilities. ROLE REQUIREMENTS: PhD or Masters in Computer Science, Bioinformatics … Proven industry experience working with genomic data within a cloud environment. A working knowledge and practical experience with writing production-level software in Python or Go. Key Words: Senior Bioinformatics Software Developer/Bioinformatics/Software Development/Genomic Data/Cloud Environment/Python/Go/Bioinformatics Tools/Data Analysis/Compute Environment/Biotechnology More ❯

talented Computational Biologist to join our team. Role Description Summary NeoPhore is seeking an experienced, independent, highly motivated, rigorous, and resilient computational biologist to lead our computational biology and bioinformatics function. A background in (immuno-)oncology is essential along with a strong desire to contribute to the progression of the understanding of a novel drug discovery field, through outstanding expertise … in Bioinformatics & Genomics. Evidence for a flexible and cooperative approach to working in a dynamic, collaborative and multi-disciplinary team environment, together with strong team ethic, are also essential. The successful candidate will be leading the bioinformatics effort at NeoPhore, able to extract biological insights from experimental data, following a vast experience of contributing and/or overseeing the exploitation … is remote with regular visits to the team in NeoPhore’s CCB laboratory in London (UK). Objectives and Responsibilities of this Role NeoPhore’s lead in Computational Biology & Bioinformatics will be a Genomics expert, responsible for executing the strategy and the data output from experimentally impactful cancer cell biology. Responsibilities include: Lead on NeoPhore’s Bioinformatics and Computational Biology More ❯

in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value … needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management. Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment … administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical industries Experience with cloud platforms More ❯

in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value … needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management. Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment … administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical industries Experience with cloud platforms More ❯

have an exceptional data and programming background with rich experience in training, developing and implementing machine learning algorithms, with a strong desire to work on the next generation of bioinformatics and biocatalysis predictive tools. Background in Python and experience with PyTorch; TensorFlow and/or JAX is a bonus, as well as knowledge of other programming languages Data preparation: feature More ❯