Head of Data Science & Biomedical Analytics

Portal Biotech Limited; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A pioneering biotech firm in Greater London seeks a leader for their data science group. The successful candidate will provide strategic and technical guidance for analysis infrastructure and develop algorithms to transform complex data into actionable insights. Responsibilities include executing the data science strategy, managing a high-performing team, and ensuring the integration of machine learning solutions into core technologies. Ideal candidates have extensive industry experience and a PhD in a quantitative discipline. This role offers the chance to shape the future of biomedical discovery.

Qualifications

• 10+ years of relevant experience in an industry environment.
• Extensive experience in delivering complex data science projects.
• Strong record of translating research into production systems.

Responsibilities

• Define and execute the data science strategy aligned with objectives.
• Lead a multidisciplinary data science team, fostering excellence.
• Oversee the integration of scalable analytical models into pipelines.
• Collaborate with stakeholders to identify opportunities for innovation.
• Represent the company at conferences and workshops.

Skills

Leadership in managing data science teams

Programming in Python

Machine learning expertise

Data-driven innovation

Excellent communication

Education

Advanced degree (PhD preferred) in a quantitative discipline

Tools

Python (NumPy, PyTorch/TensorFlow, SciPy, pandas)

Job description

A pioneering biotech firm in Greater London seeks a leader for their data science group. The successful candidate will provide strategic and technical guidance for analysis infrastructure and develop algorithms to transform complex data into actionable insights. Responsibilities include executing the data science strategy, managing a high-performing team, and ensuring the integration of machine learning solutions into core technologies. Ideal candidates have extensive industry experience and a PhD in a quantitative discipline. This role offers the chance to shape the future of biomedical discovery.