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 … acid and protein-level mechanisms, analyze large biological datasets, and support the design of therapeutic molecules. This is an opportunity to work at the interface of machine learning and computationalbiology, making impactful contributions to drug discovery and therapeutic development. Key Responsibilities Develop and implement advanced machine learning models for RNA biology, systems biology, and structural … biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computationalMore ❯
all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated ComputationalBiology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators … mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. … of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas More ❯
collaborative environments and is committed to enabling colleagues to reach their full potential; Growth mindset - the desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine; Excitement about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications - Masters or Ph.D. … degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computationalbiology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience in large-scale distributed optimization of machine learning models across multiple … GPUs and nodes. Preferred Qualifications - Familiarity with biological data formats, concepts, and computational models; Experience in cell health and 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 More ❯
incremental improvements to existing workflows. Champion EIT's collaborative culture by sharing knowledge and supporting teammates. Essential Knowledge, Skills and Experience: Doctorate-level expertise (PhD or equivalent) in Bioinformatics, ComputationalBiology, Microbiology, Genetic Epidemiology, Genomics or a related field, combined with hands-on bioinformatics or computationalbiology experience. Hands-on experience analysing NGS data. Proficiency inPython More ❯
validate model outputs. Write high quality, tested code and deploy models across multi GPU or HPC environments; monitor performance and iterate. Stay current with advances in machine learning and computationalbiology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience … in machine learning, computationalbiology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated 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 More ❯
preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and … understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering. EIT fosters a … throughput platforms, adapting protocols as needed to meet experimental requirements. To design and execute bespoke sequencing experiments, collaborating with research teams working across niche and novel synthetic, molecular & cell biology applications. To train, assist and feedback to other scientists who can or wish to utilise next-generation sequencing in a walk-up fashion. To analyse sequencing data using existing More ❯
Cancer Research UK Manchester Institute - Computational Immunologist Job Title: Computational Immunologist Category: Other Closing Date: 31/08/2025 Computational Immunologist Salary in the range of£31,000 - £37,000 (dependent upon experience) Job Ref: MI/25/17_2 Duration: 3 years fixed term About the role: Immunotherapy has revolutionised survival outcomes for cancer … as ex vivo patient avatars to test rational therapeutic approaches within standard of care treatment options to predict efficacy. We are seeking to recruit a highly motivated immunologist with computational skills to join the patient derived tumour fragment (PDTF) platform team within the context of a government-funded MANIFEST (Multi-omic ANalysis of Immunotherapy Features Evidencing Success and Toxicity … have a BSc degree or equivalent in biological sciences or a related subject (or equivalent relevant experience), together with knowledge and significant experience working in immunology research. Experience in computational analysis of multiparametric data, immune profiling approaches along with a strong work ethic, and motivation to succeed are essential. You will be comfortable working in fast paced environments and More ❯
The University of Cambridge is seeking a highly motivated, organised and initiative-focused computational biologist to join a team of clinical, immunological and computational researchers within CG-TIC. The role will facilitate cutting-edge scientific studies by providing expertise in biostatistics and informatics, guiding clinical investigators in research methods and contributing to the work of a team of … also incorporates clinician researchers from the nearby Addenbrooke's and Royal Papworth Hospitals, and our partners at GSK. You will be part of a growing team of CG-TIC computational biologists and data scientists, collaborating with colleagues across CG-TIC in processing and analysing complex and varied datasets. You will work under the guidance of Prof. Eoin McKinney, Professor … all partners in the collaboration are met.- Preparing presentations and written work for meetings with collaborators and for publication as journal articles. Experience required for the role - Experience in ComputationalBiology, Biostatistics, Statistics, Bioinformatics or a related field, with an associated Masters, or ideally PhD, qualification.- Experience of processing and analysing large biological datasets.- Expertise in programming using More ❯
Oxford, Oxfordshire, United Kingdom Hybrid / WFH Options
Oxford Pharmagenesis Ltd
our other UK offices (London, Cardiff or Cambridge). We are looking for a Data Scientist who has: a degree in a relevant discipline or equivalent experience (e.g. bioinformatics, computationalbiology, computer science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Oxford Pharmagenesis Ltd
our other UK offices (London, Cardiff or Cambridge). We are looking for a Data Scientist who has: a degree in a relevant discipline or equivalent experience (e.g. bioinformatics, computationalbiology, computer science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
Oxford Pharmagenesis Ltd
our other UK offices (London, Cardiff or Cambridge). We are looking for a Data Scientist who has: a degree in a relevant discipline or equivalent experience (e.g. bioinformatics, computationalbiology, computer science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python More ❯
development of analytical pipelines, software, web application and data visualizations to support the development of novel assays, improvement of assays under development, and hypothesis testing requested Product Development and ComputationalBiology team. Collect and document product and software requirements and findings from analyses and code developed and executed by themself and others. Write and optimize SQL queries against … Python/R. Experience with cloud computing software; including AWS, Azure. Experience working with Laboratory Information Management System (LIMS). Basic skill in Linux command line. Familiarity with molecular biology and bioinformatics tools. Familiarity with web development. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can More ❯
and non-technical stakeholders Contribute to the deployment of robust, user-facing tools and pipelines You Will Need: A PhD (or equivalent experience) in a relevant field such as ComputationalBiology, Computer Science, Bioinformatics or similar Strong knowledge of biomolecular modelling, structural prediction, small molecule docking and/or biomolecule design Experience in prototyping and deploying algorithms in More ❯
junior team members. What we're looking for: PhD with at least 2 years of industry experience or MSc with 5 or more years of relevant experience in bioinformatics, computationalbiology, data science or a related field. Hands-on experience in developing and implementing multiple Nextflow pipelines in a production system. Excellent knowledge of Docker, git, the UNIX More ❯
