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 ❯
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 ❯
strategy. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computationalbiology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Demonstrated programming expertise in Python and experience working with different types … plus: Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Contributions to relevant open-source projects. A background or interest in drug discovery, biology, medicine or ethics. Closing Date for Applications: Thursday 19th June 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of More ❯
teams, and disease experts to align model outputs with meaningful biological insights. What we expect from you Qualifications and Skills PhD degree in Computer Science, Artificial Intelligence, Machine Learning , ComputationalBiology, Bioinformatics, or a related field. Track record in AI innovation through peer-reviewed publications in method development (e.g., ICLR, NeurIPS, ICML, Nature, Science, Cell or similar). … venture capital-backed life science company at the intersection of single cell genomics, spatial genomics, AI, and drug discovery. Our mission is to decode the complexities of human disease biology, identify novel therapeutic intervention points, and develop precision therapeutics targeting these intervention points to create transformational new medicines . Ensocell has research teams in Cambridge, UK, and Alameda, California More ❯
for Women, Best Workplaces for Millennials, and Best Medium Workplaces lists. Summary Here at Insmed Cambridge, we believe that data drives discovery. We are developing the next generation of computational tools and machine learning models to accelerate therapeutic development for rare genetic diseases. To support this mission, we are seeking a talented and motivated Data Scientist with expertise in … and statistical rigour to empower better decision making during experimental design. Act as a subject expert to leverage data driven science 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 More ❯
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 ❯
London, England, United Kingdom Hybrid / WFH Options
Pear Bio
high-throughput imaging pipelines to identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay up to date with advancements in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science, computationalbiology … with relational and non-relational databases. Strong written and verbal communication skills and the ability to present complex analyses to a diverse audience. Nice-to-Haves: Understanding of cancer biology, target identification, and drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version control (ideally GitHub). Experience More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Healthcare Businesswomens Association
approach drug discovery, offering fellows a unique chance to train in Data Science and AI for biomedical research. As a fellow, you will learn to apply your quantitative and computational skills to make a difference for patients and reimagine medicine at Novartis. Despite well known, shared mechanisms of neurodegenerative disorders (i.e. Alzheimer's Disease, Parkinson's Disease, Amyotrophic lateral … neurodegenerative disease treatments. Lead with Influence : Empower cross-functional teams by clearly communicating complex concepts, sharing impactful findings, and fostering innovation across disciplines. Essential requirements : PhD in data science, computationalbiology or a related field Note that PhD students in the last year of their thesis work are eligible to apply. Applicants are only eligible to apply up … Experience in AI/ML and scientific programming (preference for python) Familiarity with one or several of the following data modalities: human genetics, gene expression, proteomics Familiarity with the biology of neurodegenerative diseases is a plus Strong publication record or other scientific achievements (i.e. awards, patents, grants) Excellent analytical, communication, presentation and organizational skills Passion for fundamental exploratory research More ❯
stakeholders. Grow Together: Contribute to and grow with a team of expert data scientists. What you'll bring to the team - Education: Bachelor's in Data Science, Computer Science, ComputationalBiology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong background … complex problems. Hands-on experience with graph engines such as Neo4J is a plus. A demonstrated track record of success in fast-paced environments. Professional or academic experience in biology, chemistry, or drug discovery is highly valued. Compensation & Benefits - Your paycheck: Competitive salary based on experience, ranging from £50,000 - £90,000 annually. Health and wellness: Comprehensive plans with More ❯
improvement We value user engagement We are committed to quality with a strong testing culture Person Specification You have a MSc or PhD in Bioinformatics/Statistical Genetics/ComputationalBiology/Biostatistics/Mathematics/Physics You have a strong understanding of data science, either through experience in academia through a PhD or a minimum of three More ❯
Associate Director/Principal Scientist ComputationalBiology How to apply Please send your CV, quoting Associate Director/Principal Scientist ComputationalBiology in the subject line to Job Description: Associate Director/Principal Scientist ComputationalBiology Company Description NeoPhore is a biotech company targeting the dynamics of cancer neoantigen evolution through inhibition of the … the University of Turin and Milan. NeoPhore currently has 13 full time employees and operates a mainly virtual drug discovery & development model. We have a dedicated internal Cancer Cell Biology (CCB) laboratory based at City St George's University, in South London, where most of the innovative Biology associated with the progression of a first-in-class molecule … is being performed. An opportunity has arisen for a genomics next generation sequencing ("NGS") expert and 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 computationalbiology and bioinformatics function. A background in (immuno-)oncology is essential along with More ❯
Sr Bioinformatics Scientist - ComputationalBiology (Protein Design) page is loaded Sr Bioinformatics Scientist - ComputationalBiology (Protein Design) Apply locations England - Cambridge time type Full time posted on Posted Today job requisition id 40753-JOB What if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina … 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 - ComputationalBiology (Protein Design) Cambridge, UK - Onsite The role is fixed-term for 6 months and based at Cambridge, England . This is an exciting opportunity to be a … which includes annual bonus scheme, generous pension, company share purchase scheme and first-class fitness club membership. Position summary We are seeking a talented and driven Senior Bioinformatics Scientist - ComputationalBiology (Protein Design) - to join our dynamic interdisciplinary protein engineering group that is responsible for the development of novel protein reagents for high-throughput sequencing. The successful candidate 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) Oxford aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes … and 2) 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 … innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. GBI is looking for a Head of Scientific Compute to shape the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic More ❯
Company Introduction CC Bio is an award-winning synthetic biology company, which has been a subsidiary of a clinical stage global parent company, Precisio Biotix Inc. since 2024. We are based in state-of-the-art facilities at the Imperial Translation and Innovation Hub (iHUB), West London. At CC Bio, we discover, engineer and develop potent and specific antimicrobial … enzymes for use as next generation therapeutics. By leveraging the combined power of systems biology, synthetic biology and microbiology, we are engineering this new class of efficacious enzymes to improve patient outcomes worldwide in the fight against antimicrobial resistance. We combine sophisticated and proprietary ML-based protein discovery and engineering platforms with high throughput screening capabilities, positioning us … as a world leader in enzyme design. Description of Your Role We are seeking a motivated computational biologist to join the CC Bio team in August 2025 for a 24-month prestigious grant funded project. This role will be within a growing team at our London-based laboratory. You will be an integral member of the experimental team, working More ❯
Company Introduction CC Bio is an award-winning synthetic biology company, which has been a subsidiary of a clinical stage global parent company, Precisio Biotix Inc. since 2024. We are based in state-of-the-art facilities at the Imperial Translation and Innovation Hub (iHUB), West London. At CC Bio, we discover, engineer and develop potent and specific antimicrobial … enzymes for use as next generation therapeutics. By leveraging the combined power of systems biology, synthetic biology and microbiology, we are engineering this new class of efficacious enzymes to improve patient outcomes worldwide in the fight against antimicrobial resistance. We combine sophisticated and proprietary ML-based protein discovery and engineering platforms with high throughput screening capabilities, positioning us … as a world leader in enzyme design. Description of Your Role We are seeking a motivated computational biologist to join the CC Bio team in August 2025 for a 24-month prestigious grant funded project. This role will be within a growing team at our London-based laboratory. You will be an integral member of the experimental team, working More ❯
thought leadership and mentorship within the team Represent Basecamp Research's AI capabilities at conferences, publications, and collaborations About You (Required): A graduate degree in Computer Science, Machine Learning, ComputationalBiology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management … Strong publication record or expertise in generative AI, deep learning, or computationalbiology 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, Lambda, Azure) Strong problem More ❯
and production needs Provide thought leadership and mentorship within the team Represent Basecamp Research at conferences, publications, and collaborations About You (Required): Graduate degree in Computer Science, Machine Learning, ComputationalBiology, or related field 5+ years in AI/ML research or engineering, with at least 4 years in a technical lead or 3 years in management Strong … publication record or expertise in generative AI, deep learning, or computationalbiology 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 AWS, Lambda, Azure Strong problem More ❯
will partner closely with the leaders of Onyx's customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computationalbiology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ More ❯
scaling them across massive, complex biological datasets. Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data. Collaborate closely with interdisciplinary teams, bridging AI research, computationalbiology, and experimental scientists. Publish influential research in leading journals and conferences, establishing thought leadership in BioAI. Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture. Expected … infrastructure, and current foundation-model architecture. Formulating clear hypotheses and a prioritized roadmap for foundational model research, including immediate experimental directions. Establishing close relationships with interdisciplinary teams (ML engineers, computational biologists, experimental scientists), ensuring effective collaboration. In 3 months you directly own and have created: A prototype or early iteration of a novel AI foundation model specifically designed or More ❯
cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage their deep expertise in scientific principles, artificial intelligence, and computationalbiology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position … demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this role requires a passion for bridging the gap between theoretical innovation and real-world application, and the ability to thrive in a highly collaborativecross-functional environment. Responsibilities Advance the state of the art in AI and/… in areas such as RNA design, optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computationalbiology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by More ❯
Product Manager – TechBio SaaS Platform | Fully Remote | Full-Time Start Date: ASAP Join one of Europe’s most exciting TechBio startups, where machine learning meets biology to redefine how we discover and design better medicines. We're looking for a Product Manager to take the lead on our cutting-edge SaaS platform that models cell behaviour using deep learning … Evaluate customer needs, market trends, and ROI opportunities Guide go-to-market planning and commercial strategy What We’re Looking For Master's or PhD in biological sciences (bioinformatics, computationalbiology, cell biology, etc.) Fluent in English; a second language is a plus Strong knowledge of Agile and product management tools At least one solid experience managing … We’re a small, ambitious team backed by global investors. We value creativity, autonomy, and purpose-driven work. You’ll be at the heart of a movement to revolutionise biology and medicine through in silico innovation. Please apply within or send an updated CV to my email AGreatorex@barringtonjames.com More ❯
site in Surrey, which is commutable from London, Oxford, Reading and Guilford. The purpose of the role is to perform bioinformatics analysis and software support for genomics/systems biology projects, assisting in development, test and maintenance of modular software pipelines, providing daily data analysis, preliminary interpretation of the data, tests to determine biological significance, visualisation of biologically meaningful … and networks Ability to work in a Linux/HPC environment A Masters degree with a significant, demonstrable (by way of skills and/or research experience) element of Computational science, Bioinformatics, Molecular biology, Mathematics and/or Statistics. For more information or to apply for this position, please contact Natasha Young on (phone number removed) or email More ❯
the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, ComputationalBiology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven More ❯
the first clinical pilot by delivering accuracy & traceability gains over incumbent LLM baselines. We’ll Be Excited If You Have PhD/D.Phil. (or equivalent depth) in Physics, CS, ComputationalBiology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven More ❯
in bioinformatics computing coding, in languages including R, Python and other scripting languages as is appropriate. Experience of using high performance computing (HPC) systems for scientific computing. Experience of computationalbiology research methodologies pertinent to the role. Department/Directorate Information The Data Science Committee is chaired by Professor Trevor Graham, providing academic leadership of data science at More ❯