Data Scientist Leader

4 weeks ago

Hinxton, United Kingdom Wellcome Sanger Institute Full time
Unlock the Future of Human Health

We are seeking a highly skilled Principal Data Scientist to join our team at the Wellcome Sanger Institute. As a key member of our interdisciplinary team, you will play a crucial role in shaping the future of human health by leveraging cutting-edge machine learning techniques to analyze and interpret large-scale single-cell datasets.

About the Role

As a Principal Data Scientist, you will be responsible for designing and developing foundational models that integrate and process data from various sources to develop robust and versatile AI models. You will work closely with our team of life scientists and computer/ML scientists to advance biological research through these foundational models.

Your Key Responsibilities

  • Lead machine learning research projects and write outcomes in scientific publications for submission to top-tier journals or conferences.
  • Collaborate with team members to propose, develop, and evaluate new machine learning models that enable understanding single-cell data and its application in drug discovery.
  • Supervise and train junior team members, including Ph.D. students and postdocs, on developing solutions for interdisciplinary scientific problems in biology.
  • Contribute to writing scientific papers on biotechnology and biology.
  • Develop and maintain open-source software solutions to analyze and interpret large-scale single-cell datasets.
  • Present research and analysis pipelines to internal and external audiences.

About You

We are looking for a highly motivated and experienced data scientist with a strong background in machine learning and a passion for advancing human health. You will be supported in your personal and professional development and have the opportunity to lead peer-reviewed publications and present them at national and international conferences.

Essential Skills

  • Ph.D. or M.Sc. with equivalent research experience in a relevant quantitative discipline (e.g., Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics)
  • Previous ML work experience in a scientific/academic environment (RA/Internships are considered as work experience)
  • Strong knowledge of Python, including core data science libraries such as Scikit-Learn, SciPy, TensorFlow, and PyTorch.
  • Expertise in machine learning algorithms and frameworks, with experience in designing, training, and deploying ML models.
  • Proficiency in handling and processing large datasets, including techniques for data cleaning, feature engineering, and data augmentation.
  • Experience with high-performance computing environments, including the use of GPUs for training large-scale machine learning models.
  • Experience in natural language processing (NLP) and training models based on transformer architectures, such as BERT and GPT.
  • Familiarity with generative models such as diffusion models and flow matching.
  • Knowledge of software development good practices and collaboration tools, including git-based version control, Python package management, and code reviews.
  • Strong problem-solving skills with the ability to analyze complex data and derive actionable insights.
  • Excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders.

What We Offer

  • A dynamic and collaborative work environment with a team of experts in machine learning and biology.
  • The opportunity to work on cutting-edge projects that have the potential to make a significant impact on human health.
  • A comprehensive benefits package, including a competitive salary, pension scheme, and generous holiday allowance.
  • The chance to develop your skills and expertise through training and professional development opportunities.

How to Apply

If you are a motivated and experienced data scientist looking for a new challenge, please submit your application, including your CV and a cover letter, to [insert contact information]. We look forward to hearing from you

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