Director of Data Science and Artificial Intelligence

​

Director of Data Science and Artificial Intelligence – BioTech

At the forefront of biotechnological advancements, my client stands as a pioneering force, dedicated to propelling healthcare into a new era through innovative research, development, and the production of cutting-edge biopharmaceuticals. We are actively seeking a Director of Data Science and Artificial Intelligence to lead my client’s data-driven initiatives, steering innovation, efficiency, and transformative changes in drug discovery, development, and manufacturing processes.

Position Overview: As the Director of Data Science and Artificial Intelligence, you will play a pivotal role in shaping and executing our data-driven strategy. Leading a high-calibre team of data scientists and AI professionals, you will collaborate cross-functionally with research and development, IT, and other departments to leverage data science and AI technologies for enhanced drug discovery, process optimisation, and decision-making.

Responsibilities:

• Develop and execute a comprehensive data science and AI strategy aligned with the company's goals and objectives.

• Provide visionary leadership to guide the organization in adopting and integrating advanced data analytics and AI technologies.

• Lead and mentor a high-performing team of data scientists and AI professionals, fostering a culture of innovation, collaboration, and continuous learning.

• Build a diverse and skilled team capable of driving data science and AI initiatives across various business functions.

• Implement data science and AI solutions to expedite drug discovery and development processes.

• Collaborate with research and development teams to identify opportunities for data-driven applications in molecular modelling, target identification, and preclinical research.

• Oversee the development and implementation of advanced data analytics and AI algorithms for analysing complex biological, chemical, and clinical data.

• Ensure seamless integration of data science and AI models with existing data infrastructure.

• Identify opportunities to streamline and optimize manufacturing processes using data science and AI, enhancing efficiency and reducing costs.

• Implement predictive analytics and quality control measures in manufacturing facilities.

• Collaborate with external partners, research institutions, and technology providers to stay at the forefront of data science and AI advancements.

• Evaluate and establish partnerships that support the company's data science and AI objectives.

Qualifications:

• Advanced degree (Ph.D. or equivalent) in a relevant field such as Computer Science, Bioinformatics, or Computational Biology.

• Proven leadership experience in implementing data science and AI solutions within the biotech or life sciences industry.

• Must have a minimum of 7 years of biotech or life science industry experience.

• Strong understanding of drug discovery and development processes.

• Expertise in data science, machine learning, natural language processing, and other AI technologies.

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

• Familiarity with regulatory frameworks and compliance requirements related to data science and AI in biopharmaceuticals.