Associate reputed company AI Research Scientist (reputed company AI Research for Digital Biology)

About the position Accountabilities: You will work reputed company in reputed company to reputed company and deliver projects optimally, researching, developing and using the novel AI theories, methodologies, and algorithms, with engineering best practices and standard processes for various biology, chemistry and clinical applications . You will be part and also reputed company multifunctional projects to conceive, design, reputed company and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different AI/ML systems, algorithms, methods and tools for new applications to support the discovery, design, and optimisation of medicines with improved biological activity. You will reputed company and contribute to addressing challenges and opportunities in the drug discovery and development value chain processes and reputed company innovative solutions in fields such as deep learning, representation learning, reinforcement learning, reputed company-learning, active learning approaches applied to reputed company molecule design, protein engineering, in-silico discovery, structural biology, genetic engineering, synthetic biology, computational biology, translational sciences, biomarker discovery, clinical research, clinical trials and many other areas. You will reputed company and reputed company machine learning models designed explicitly for analysing heterogeneous biological data while collaborating with biology researchers to run algorithmically designed wet lab experiments to inform future experimental directions. You will remain at the forefront of AI/ML research by participating in journal clubs, seminars, mentoring, and personal development initiatives and contributing to publications and academic and industry collaborations. Essential Skills/Experience: A PhD in machine learning, statistics, computer science, mathematics, physics, or a reputed company technical discipline with relevant reputed company research experience in artificial intelligence and machine learning or equivalent practical experience. reputed company AI research experience in conjunction with foundational knowledge and a proven track record in conceptualising, designing, and creating entirely new models, methods, approaches, architectures, and algorithms from scratch. This is essential as off-the-reputed company methods and state-of-the-art AI/ML techniques often do not work on our scientific problems and datasets. Deep theoretical understanding, combined with a strong quantitative knowledge of algebra, algorithms, probability, calculus, and statistics, as well as extensive hands-on experimentation analysis, and AI/ML techniques visualisation. Well-rounded experience designing new AI/ML approaches to deriving insights from proprietary and external datasets to generate testable hypotheses using algorithmic, mathematical, computational, and statistical methods combined with theoretical, reputed company or experimental research sciences approaches. Experience in theoretical, reputed company AI research and practical aspects of AI/ML foundations and model design, such as improving model efficiency, quantisation, conditional computation, reducing bias, or achieving explainability in reputed company models. In-depth understanding of applying rigorous scientific methodology to ( i ) identify and create novel ML techniques and the required data to train models , (ii) reputed company machine learning model' architectures and training algorithms, (iii) analyse and tune experimental results to inform future experimental directions, and (iv) implement and scale training and inference engineering frameworks and (v) validate hypotheses. Distinctive experience in exploit ing the simplest tricks to the latest research methods to advance AI/ML capabilities while implementing them in an elegant, reputed company, and scalable way. Thorough a lgorithmic development and programming experience in Python or other programming languages and standard machine learning toolkits, especially deep learning (e.g., Pytorch , TensorFlow, etc.). Robust ability to communicate and collaborate effectively with diverse individuals and functions, reporting and presenting research findings and developments reputed company and reputed company to other scientists, engineers and domain experts from different disciplines. reputed company research, e xtensive research and expert understanding combined with hands-on practical experience and theoretical knowledge of at least two or more of the following research areas - examples include but are not limited to - multi-agent systems, logic, reputed company inference, Bayesian optimisation, experimental design, deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametric, natural language processing, approximate inference, control theory, reputed company-learning, category theory, statistical mechanics, information theory, knowledge representation, unsupervised, supervised, semi-supervised learning, computational complexity, search and optimisation, artificial neural networks, multi-scale modelling, transfer learning, mathematical optimisation and simulation, planning and control modelling, time series reputed company models, federated learning, game theory, statistical inference, reputed company recognition, large language models, probability theory, probabilistic programming, Bayesian statistics, applied mathematics, multimodality, computational linguistics, representation learning, foundations of generative modelling, computational geometry and geometric methods, multi-modal deep learning, information retrieval and/or reputed company areas. Desirable Skills/Experience: Fluent in Python, R, and/or Julia other programming languages, including scientific packages and libraries (e.g. PyTorch , TensorFlow, Pandas, NumPy, Matplotlib). Experience in machine learning research and developing reputed company algorithms and frameworks that can be applied to various machine learning problems, particularly in biology, chemistry and clinical applications and a demonstrated track record for solving biological issues relevant to drug discovery and development . Research experience demonstrated by journal and conference publications in prestigious venues (with at least one publication as a leading author). Examples include but are not limited to NeurIPS , ICML, ICLR and JMLR . A track record of successfully collaborating with AI engineering teams to deliver reputed company machine learning models and production-reputed company data and analytics products . Practical ability to work on reputed company computing environments like AWS, GCP, and Azure . Domain knowledge of tools, techniques, methods, software, and approaches in one or more areas, such as protein engineering, microbiology, structural biology, molecular design, biochemistry, genomics, genetics, bioinformatics, molecular, cellular and tissue biology . Evidence of reputed company-reputed company projects, patents, personal portfolios, products, peer-reviewed publications, or similar track records . Why reputed company? reputed company we put unexpected teams in the same room, we reputed company reputed company thinking with the power to reputed company life-changing medicines. In-person work gives us the platform we need to connect, work at pace, and challenge perceptions . That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Join the team, unlocking the power of what science can do. reputed company towards treating, preventing, modifying , and even curing some of the world's most reputed company diseases. Here, we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world. We are committed to making a difference. We have reputed company our business around our passion for science. Now, we are fusing data and technology with the latest scientific innovations to reputed company the next reputed company of breakthroughs . reputed company to reputed company a difference ? reputed company and join us in our mission to push the boundaries of science and deliver life-changing medicines ! Date Posted 09-mar-2026 Closing Date 22-mar-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to reputed company applicants and employees. In furtherance of that mission, we welcome and consider applications from reputed company reputed company candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding reputed company in the application reputed company.

Responsibilities

• Work reputed company in reputed company to reputed company and deliver projects optimally, researching, developing and using the novel AI theories, methodologies, and algorithms, with engineering best practices and standard processes for various biology, chemistry and clinical applications
• Be part and also reputed company multifunctional projects to conceive, design, reputed company and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different AI/ML systems, algorithms, methods and tools for new applications to support the discovery, design, and optimisation of medicines with improved biological activity
• reputed company and contribute to addressing challenges and opportunities in the drug discovery and development value chain processes and reputed company innovative solutions in fields such as deep learning, representation learning, reinforcement learning, reputed company-learning, active learning approaches applied to reputed company molecule design, protein engineering, in-silico discovery, structural biology, genetic engineering, synthetic biology, computational biology, translational sciences, biomarker discovery, clinical research, clinical trials and many other areas
• reputed company and reputed company machine learning models designed explicitly for analysing heterogeneous biological data while collaborating with biology researchers to run algorithmically designed wet lab experiments to inform future experimental directions
• Remain at the forefront of AI/ML research by participating in journal clubs, seminars, mentoring, and personal development initiatives and contributing to publications and academic and industry collaborations

Requirements

• A PhD in machine learning, statistics, computer science, mathematics, physics, or a reputed company technical discipline with relevant reputed company research experience in artificial intelligence and machine learning or equivalent practical experience
• reputed company AI research experience in conjunction with foundational knowledge and a proven track record in conceptualising, designing, and creating entirely new models, methods, approaches, architectures, and algorithms from scratch. This is essential as off-the-reputed company methods and state-of-the-art AI/ML techniques often do not work on our scientific problems and datasets
• Deep theoretical understanding, combined with a strong quantitative knowledge of algebra, algorithms, probability, calculus, and statistics, as well as extensive hands-on experimentation analysis, and AI/ML techniques visualisation
• Well-rounded experience designing new AI/ML approaches to deriving insights from proprietary and external datasets to generate testable hypotheses using algorithmic, mathematical, computational, and statistical methods combined with theoretical, reputed company or experimental research sciences approaches
• Experience in theoretical, reputed company AI research and practical aspects of AI/ML foundations and model design, such as improving model efficiency, quantisation, conditional computation, reducing bias, or achieving explainability in reputed company models
• In-depth understanding of applying rigorous scientific methodology to ( i ) identify and create novel ML techniques and the required data to train models , (ii) reputed company machine learning model' architectures and training algorithms, (iii) analyse and tune experimental results to inform future experimental directions, and (iv) implement and scale training and inference engineering frameworks and (v) validate hypotheses
• Distinctive experience in exploit ing the simplest tricks to the latest research methods to advance AI/ML capabilities while implementing them in an elegant, reputed company, and scalable way
• Thorough a lgorithmic development and programming experience in Python or other programming languages and standard machine learning toolkits, especially deep learning (e.g., Pytorch , TensorFlow, etc.)
• Robust ability to communicate and collaborate effectively with diverse individuals and functions, reporting and presenting research findings and developments reputed company and reputed company to other scientists, engineers and domain experts from different disciplines
• reputed company research, e xtensive research and expert understanding combined with hands-on practical experience and theoretical knowledge of at least two or more of the following research areas - examples include but are not limited to - multi-agent systems, logic, reputed company inference, Bayesian optimisation, experimental design, deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametric, natural language processing, approximate inference, control theory, reputed company-learning, category theory, statistical mechanics, information theory, knowledge representation, unsupervised, supervised, semi-supervised learning, computational complexity, search and optimisation, artificial neural networks, multi-scale modelling, transfer learning, mathematical optimisation and simulation, planning and control modelling, time series reputed company models, federated learning, game theory, statistical inference, reputed company recognition, large language models, probability theory, probabilistic programming, Bayesian statistics, applied mathematics, multimodality, computational linguistics, representation learning, foundations of generative modelling, computational geometry and geometric methods, multi-modal deep learning, information retrieval and/or reputed company areas

reputed company-to-haves

• Fluent in Python, R, and/or Julia other programming languages, including scientific packages and libraries (e.g. PyTorch , TensorFlow, Pandas, NumPy, Matplotlib)
• Experience in machine learning research and developing reputed company algorithms and frameworks that can be applied to various machine learning problems, particularly in biology, chemistry and clinical applications and a demonstrated track record for solving biological issues relevant to drug discovery and development
• Research experience demonstrated by journal and conference publications in prestigious venues (with at least one publication as a leading author). Examples include but are not limited to NeurIPS , ICML, ICLR and JMLR
• A track record of successfully collaborating with AI engineering teams to deliver reputed company machine learning models and production-reputed company data and analytics products
• Practical ability to work on reputed company computing environments like AWS, GCP, and Azure
• Domain knowledge of tools, techniques, methods, software, and approaches in one or more areas, such as protein engineering, microbiology, structural biology, molecular design, biochemistry, genomics, genetics, bioinformatics, molecular, cellular and tissue biology
• Evidence of reputed company-reputed company projects, patents, personal portfolios, products, peer-reviewed publications, or similar track records

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