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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
domain. 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 AI/ML engineer. Experienced in developing deep learning models for solving real world scientific problems. … with video analysis and tracking Experience/familiar with different modules of an ML product interacting with each other asynchronously (say API calls or shared database) Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.) Closing Date for Applications: Sunday 17th August 2025 (COB) Please take a copy of 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 ❯
Data Scientist - Cross Indication London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning … drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches. The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights … with advanced data analytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement computational workflows for analysing multi-omics data. Perform data integration to uncover disease mechanisms and identify actionable targets. Design statistical models for analysing transcriptomics and other omics datasets. Collaborate closely with experimental and machine learning teams to validate computational insights. Present More ❯
