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    Scientist Research and Development - London, United Kingdom - Isomorphic Labs Limited

    Isomorphic Labs Limited
    Isomorphic Labs Limited London, United Kingdom

    2 weeks ago

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    Description
    Research Scientist (all levels), Machine Learning for Computational Biology, London
    Research Scientist (all levels), Machine Learning for Computational Biology, London
    Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.

    You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.

    As a Research Scientist in machine learning (ML) for Computational Biology, you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the drug discovery world as we know it.

    Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading engineers and scientists to conceive, design, and develop cutting edge machine learning algorithms to unlock new modelling and predictive power which will be critical to the organisation's success.

    You will draw upon your existing deep research experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

    Specifically, you will be working on creating new state-of-the-art ML models for computational biology applications, working closely with our Computational Biology team.


    Depending on your experience:
    You will create and lead projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs

    You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it.

    Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery.

    Identify and create novel ML techniques and the required data to train.
    Develop the architectures and training algorithms of machine learning models.
    Implement and scale training and inference engineering frameworks.

    Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.

    Suggest and engage in team collaborations to meet ambitious research goals.

    Depending on your experience:

    Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise.

    Provide developmental support to other ML research scientists.
    Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems.
    Cultivate a diverse and inclusive research culture.
    PhD or equivalent practical experience in a technical field.

    A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.

    A proven track record of applying machine learning to computational biology modelling problems.
    Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas
    A passion for applying ML research to real world problems

    Depending on your experience:
    project supervision, leadership, or management.
    PhD in machine learning or computer science.

    Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases.

    Scientific knowledge of biology, chemistry, or physics
    Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics)
    Experience working with biological or chemical data and biological or chemistry software
    Experience working with genomics, transcriptomics, or proteomics data and tools.

    Experience in any of:

    large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL.

    It is about good people doing good, rigorous and future-making science every single day.
    Together at Iso is about connection, collaboration across fields and catalytic relationships.

    It's knowing that transformation is a group project, and remembering that what we're doing will have a real impact on real people everywhere.

    We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

    We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law.

    If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

    This is why we've decided to follow a hybrid model, and for full time positions we would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you're in).

    For part time positions this may vary. As an equal opportunities employer we are committed to building an equal and inclusive team.

    If you have additional needs that would prevent you from following this hybrid approach, we'd be happy to talk through these if you're selected for an initial screening call.

    Please note that when you submit an application, your data will be processed in line with our privacy policy .

    What would your preferred working approach be in terms of coming into the office (assuming it is safe to do so)? (Are you based in, or would you be willing to relocate to the UK or Switzerland?
    DeepMind website
    Twitter
    Referred by an employee at Isomorphic Labs (please let us know who below)

    Demographic Questions - UK & CH We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

    We need your help to do this, but filling in this form is entirely voluntary .

    No Isomorphic Labs hiring decision makers will have access to this information and the information will only be used for aggregated reporting and monitoring purposes, not for the purposes of your application or making any hiring decisions.

    You can find more information about how we process diversity and demographic information in our Applicant and Candidate Privacy Notice .

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