s patients as well as top tier publications and/or patents. Necessary experience Top tier publications. Patent experience. First-hand experience with generating biological insights from biological data (genomics, epigenetics, transcriptomics proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end More ❯
master data, metadata, and reference data management Understanding of Agile practices and sprint-based methodologies Active contributor to knowledge sharing and collaboration Desirable Knowledge, Skills and Experience: Familiarity with genomics and associated data standards Experience with healthcare clinical data and standards such as OMOP and SNOMED Familiarity with containerization tools such as Docker and Kubernetes Familiarity with Git and CI More ❯
technologies and methodologies, integrating improvements to enhance performance, throughput and cost-efficiency. Essential Knowledge, Skills and Experience: A PhD (or equivalent industry experience) in a relevant field, such as genomics, molecular biology, synthetic biology, cell biology, or computational biology. Hands-on experience with next-generation sequencing technologies (e.g., Illumina, Oxford Nanopore). Proven ability to develop, adapt, and troubleshoot sequencing More ❯
role or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research projects and translating research into applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms (AWS More ❯
lead or 3 years in management Strong publication record or expertise in generative AI, deep learning, or computational biology Experience applying AI to biological problems, especially protein design or genomics Proven success in leading AI research and translating it into practical applications Excellent communication skills for diverse audiences Experience training large generative models on HPC GPUs or cloud platforms like More ❯
for sustaining a diverse and inclusive environment. - What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and More ❯
We strive to support the transition of knowledge and capability into strategic teams. In the pharmaceutical sector, we are internationally recognised for our expertise in early-phase drug discovery, genomics, and human genetics. In late 2023, we proudly launched our new division, bioXcelerate AI, which stands at the forefront of revolutionising life sciences and healthcare research. bioXcelerate AI uses state More ❯
rejuvenation-related research area; Experience with identification and assessment of drug targets and/or therapeutic compounds; Experience in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; Track record in open-source software development, e.g., demonstrated by high-impact GitHub repository; Track record of high-caliber scientific work, e.g., demonstrated through publications More ❯
years relevant work experience across Continuous Improvement and Operations within a manufacturing/industrial environment Experience in Life Sciences, consumables/instrumentation, or regulated industry preferred. Industrial automation, genomics, cold chain, and/or GLP experience is beneficial. Visual Project Management experience preferred Training and dedicated experience with Continuous Improvement/Lean methodology; Lean certifications preferred Proven successful application of More ❯
solve biological problems. Proven track record developing state-of-the-art ML models, ideally including transformers, diffusion models, or multimodal architectures. Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data). Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks. Experience managing large-scale distributed training across GPUs/TPUs. More ❯
Employee share option plan 25 days holiday plus bank holidays Private health insurance Pension plan (matching up to 8%) Collaborative and pioneering environment, at the leading edge of synthetic genomics and engineered translation We want to build a team with trust and respect for each other and create a culture of collaboration, openness, curiosity, and scientific excellence. We are built More ❯
this rewarding and exciting work! You will be responsible for supporting our clients with on-site installation, implementation, maintenance and delivery of customer training on our Biomolecular Services (Automation, Genomics and Cell Analysis). Your main responsibilities will be: Respond to customer needs by providing repair, installation, upgrade and preventive maintenance activities Contact customers in a timely manner and schedule More ❯
our Series B (bringing total funding to $85M), we scaled our data asset 10 in just a few months - to billions of genes - cementing it as the single largest genomics database of life on Earth. We use this data to train a new generation of biological foundation models with applications in therapeutics, nutrition and agriculture. At Basecamp Research, we pride More ❯
Reimagine Drug Discovery at GSK At GSK, we are uniting science, technology, and talent to get ahead of disease together. We believe that the intersection of human genetics and genomics, translational biology, and artificial intelligence is the most promising path to a new generation of transformational medicines. We are not simply applying AI to drug discovery; we are fundamentally re More ❯
part of the BioAI department, in collaboration with research engineers and computational geneticists from the BioAI team. You will be contributing to the development of new approaches in; cancer genomics research with deep learning; and possible downstream related domains, by applying your technical, analytical and research skills. You will understand the underlying bioinformatics tools and follow the latest developments in … improvement and maintenance for validated solutions. You will also be responsible for writing high-quality, maintainable, well-documented, and modular software libraries. The Research Engineer, Deep Learning for Cancer Genomics, must accomplish the following: Create momentum around new initiatives and reinforce the technical direction for solving hard technical problems. Become a go-to expert in one or more technical areas. … in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering (Python, Pytorch, JAX, Docker, Linux). A willingness to learn and develop skills in computational genomics including building an understanding of biological concepts related to cancer. Excellent communication skills in English. Appropriate work permit for the UK, Europe or South Africa depending on application. Nice to More ❯
farming, food security, and climate resilience. Benefits Share options Private Medical Excellent opportunities for career development Sponsorship available What's required of the Plant Scientist? A PhD in Bioinformaticians, Genomics, Plant Science, or a related field, with relevant academic or industry experience Experience designing and developing NGS pipelines for the analysis of non-model species, if this has been within More ❯
are delivered on time and within budget in a delivery-focused setting. Thought Leadership and Communication Strong academic profile with peer-reviewed publications and a developing network within the genomics community. Skilled at presenting complex ideas at international scientific conferences and contributing to global discourse in genomics. We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income Protection More ❯
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
Are you ready to lead the future of global genomics data sharing? The European Nucleotide Archive (ENA), a cornerstone of the international genomics community, is searching for a leader to guide its evolution in an era of unprecedented genomics driven scientific discovery. This is a unique opportunity to shape the way genomic information is preserved, shared, and leveraged to address … the most pressing challenges, from understanding biodiversity, supporting global pathogen data sharing, and advancing model organism genomics driven research. The European Nucleotide Archive (ENA) provides essential foundational data services to the world and underpins many major global data resources. As the Team Leader for ENA and BioSamples, you will oversee one of the world's largest and most vital bioinformatics … data curators to deliver world-class services and innovation. Global Collaboration : Strengthen partnerships with international data sharing initiatives like the INSDC, fostering cooperation and data exchange. Alignment with global genomics data-sharing standards, such as those from the Genomics Standards Consortium (GSC) and Global Alliance for Genomics and Health (GA4GH). User-Centric Innovation : Engage with the scientific community to More ❯
Greater Bristol Area, United Kingdom Hybrid / WFH Options
ADLIB Recruitment | B Corp™
up Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a high-impact biotech lab. Cutting-edge work combining AI, genomics, and diagnostics to save lives. We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic … and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485) or significant work within this sector/environment Comfortable working across both on-premise and cloud-based data systems Clear communicator, able More ❯
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
ADLIB Recruitment
up Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a high-impact biotech lab. Cutting-edge work combining AI, genomics, and diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with AI … and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485) or significant work within this sector/environment Comfortable working across both on-premise and cloud-based data systems Clear communicator, able More ❯
Our client is an early-stage, high-growth biotechnology company revolutionizing the life sciences industry through advanced multiomics. Their proprietary technology offers unprecedented insight into the dynamic interplay between genomics and epigenomicspushing the boundaries of how we understand complex biological systems. Early-stage biotech company developing cutting-edge multiomic solutions Partnering with world-leading researchers to drive innovation in cancer … etc.) Skilled in at least one scientific programming language (Python, R, or Julia) Strong collaborator with a track record of academic or industrial partnerships Bonus: experience with ML in genomics, cloud deployment, workflow platforms (Nextflow, DNAnexus), or publication as a lead author Next Steps This Head of Data Science role is proving popular and wont be around for long, so More ❯
The Role Optima Partners is a leading professional services firm experiencing rapid growth and innovation. As part of our expansion, we are dedicated to advancing our capabilities in data science and statistical genetics. We are seeking an exceptional Senior Data More ❯
JOB SUMMARY Iambic Therapeutics is seeking a machine learning scientist to extend Enchant-our multimodal transformer-by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding … expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best practices, version control, code review, and continuous integration. PREFERRED QUALIFICATIONS Experience working More ❯
Scientific Officer: Evolution & Translational Genomics Join to apply for the Scientific Officer: Evolution & Translational Genomics role at The Institute of Cancer Research Scientific Officer: Evolution & Translational Genomics 1 day ago Be among the first 25 applicants Join to apply for the Scientific Officer: Evolution & Translational Genomics role at The Institute of Cancer Research Reporting to: Ben O'Leary Key Information … laboratory, together with the analyses of public datasets. About You The successful candidate must have: BSc in bioinformatics or computational biology. Ability to perform advanced bioinformatics analysis of cancer genomics Ability to write efficient computer code Ability to interpret the scientific literature and incorporate this into the project Department/Directorate Information The Centre for Evolution and Cancer (CEC), within … cutting-edge research ability in cell and molecular biology to provide a stimulating and creative interdisciplinary environment where new approaches to tackling cancer can thrive. T he Evolution & Translational Genomics team combine molecular and cellular biology together with bioinformatics and computational biology to study the evolution of malignancy and its impact on treatments in the clinic. We focus on head More ❯
About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is … like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems biology. Proven track record of publishing in top-tier conferences or journals. Experience developing machine learning models for production … Join Us If you're excited about the intersection of machine learning and biology and want to contribute to life-changing therapeutic advancements, we encourage you to apply! Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Deep Genomics thanks all applicants, however More ❯