Team Lead, Data science

6 days ago

London, Greater London, United Kingdom Portal Biotech Full time £80,000 - £120,000 per year

We're looking for an exceptional individual to lead our data science group: to provide strategic and technical leadership in delivering our analysis infrastructure and developing the tools and algorithms that transform complex, noisy time-series data into actionable insights. You will set the vision for data science across the organisation, ensuring the effective integration of advanced machine learning techniques into our core nanopore technologies. Working with senior leadership, you'll align data science priorities with company goals, manage a high-performing team, and cultivate an environment that drives innovation in biomedical discovery.

Tasks And Responsibilities

  • Define and execute the organisation's data science strategy in line with scientific and commercial objectives.
  • Lead and grow a multidisciplinary data science team, fostering technical excellence and career development.
  • Oversee the design, implementation, and integration of scalable analytical models into production pipelines.
  • Champion best practices in reproducibility, validation, and scientific rigour.
  • Collaborate with internal and external stakeholders to identify opportunities for data-driven innovation.
  • Represent the company at conferences, workshops, and strategic partnerships.

Qualifications

  • Demonstrated leadership in managing data science teams and delivering complex projects.
  • Extensive programming and modelling experience in Python (NumPy, PyTorch/TensorFlow, SciPy, pandas).
  • Deep expertise in machine learning for time-series and probabilistic modelling.
  • Strong record of translating cutting-edge research into production systems.
  • Advanced degree (PhD preferred) in a quantitative discipline
  • 10+ years relevant experience, preferably in an industry environment
  • Excellent communication skills with the ability to influence at all organisational

levels.

Desirable

  • Proven experience in biological/biomedical data domains.
  • Established network in the computational biology/ML research community.
  • Contributions to high-impact publications, patent applications or open-source projects.
  • Experience navigating regulatory frameworks in biotech/healthcare.

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