In the role of Director, Bioinformatics & AI you will lead a team focused on the method development and application of computational approaches for addressing scientific questions in pre-clinical research and translational medicine; focusing on genetics, omics, imaging, biomedical literature, and RWD data modalities. As a member of the biomedical Data Science Leadership Team, you will help shape the direction of the global data science team and its role within the broader CSL R&D ecosystem.

Your Responsibilities

Reporting to the Senior Director, Global Head of Data Science you will:

• Be accountable for activities focused on development and application of computational methods for enabling research biology and translational medicine activities

• Support and implement a robust and inclusive recruitment and talent development strategy to attract talent, and provide scientific and career development mentorship

• Work across Global Research organisation with therapeutic area leads, project managers and scientific coordinators to enable seamless and impactful integration of computational scientists across the project portfolio landscape

• Drive partnerships between your team and Data Management and Engineering and Biostatistics teams.

• Work to develop overall competency of direct reports and data literacy amongst scientists at CSL, encouraging learning and development opportunities

• Maintain and build CSL’s research profile within industry contacts and networks

• Ensure your team is globally visible across CSL, including publication in high-impact scientific journals and participation in international conferences

• Actively foster an inclusive, ethical, and diverse team culture

Your Experience

• A PhD and 8+ years of experience in a relevant scientific discipline and drug development

• Recognition as a world-leading scientist in your area of work, excellent publication record and participation in international meetings and conferences. Membership of relevant scientific bodies.

• Demonstrated leadership skills, and a track record of developing early & mid-career scientists

• Experience of working in an interdisciplinary research environment and a track record of partnering and building successful relationships within and between organisations/institutes

• Excellent oral and written communication skills

• Experience in managing large and complex projects and teams, involving multiple stakeholders and achieving results in a timely and resource efficient manner