Senior Technology Strategist

The position of Senior Technology Strategist is available to drive technology strategy and innovation in the discovery informatics domain.

Key Responsibilities:

• Develop and execute a comprehensive technology strategy that aligns with business objectives in computational drug discovery and informatics.
• Lead large-scale technology initiatives, collaborating with global teams to drive digital transformation in research and development.
• Drive innovation and AI adoption, maximizing the impact of emerging technologies like deep learning and generative AI.
• Ensure excellence in portfolio delivery, leveraging best-in-class strategy and engineering KPIs for cheminformatics, bioinformatics, and computational chemistry initiatives.
• Build and lead high-performing teams specializing in scientific computing, AI/ML-driven drug discovery, and translational informatics, fostering a culture of technical excellence and innovation.
• Establish mature engineering capabilities within Discovery Informatics, enabling seamless integration of capabilities across Research Scientific Apps, LabOps, Translational Bioinformatics, and AI-driven predictive modeling.
• Partner with global RD organizations and stakeholders to drive digital transformation in discovery research, focusing on omics data analytics, target identification, and biomarker discovery.
• Develop strategies to enhance cross-functional engagement and communication, ensuring business partners are actively connected to computational biology, systems pharmacology, and informatics-driven research initiatives.
• Provide mentorship and leadership development opportunities for emerging leaders within Discovery Informatics, emphasizing diversity and inclusion.
• Drive strategic initiatives like Unlock the Power of AI, leveraging AI for molecular docking, de novo drug design, and high-throughput screening data analysis.
• Champion the adoption of Quantum Computing and AI-driven research methodologies to accelerate discovery outcomes, including quantum simulations for molecular interactions and novel therapeutic development.
• Foster a strong research-technology synergy by guiding the technical strategy, data strategy, and architecture strategy for Discovery Informatics, ensuring scalable and reproducible computational workflows.
• Cultivate a culture of bold leadership, challenging the status quo, and promoting diversity, particularly in leadership hiring and development within the computational drug discovery space.

Qualifications Experience:

• Degree in Computer Science, Computational Biology, Bioinformatics, Cheminformatics, Data Science, or a related field.
• Experience in leading teams with expertise in designing frameworks for data exchange across discovery research systems, ensuring consistency between analytical pipelines, computational models, experimental results, and scientific publications.
• Proven experience in leading large-scale technology initiatives within research and development organizations, particularly in computational drug discovery and translational informatics.
• Strong background in AI-driven work, machine learning, and data science applications in drug discovery.
• Experience in building and leading global cross-functional teams.
• Excellent stakeholder management and communication skills.
• Ability to drive strategic initiatives, influence senior leadership, and lead complex projects from inception to execution.

Preferred Skills:

• Familiarity with regulatory and compliance requirements in the life sciences industry, including data integrity in research informatics.
• Experience working with engineering teams to develop accelerators, technical assets, and platforms for high-throughput screening, omics data integration, and AI-driven decision support systems.

This role presents an exciting opportunity to be at the forefront of technological innovation in discovery informatics, driving impactful contributions to research and development initiatives.

Role Information:

Industry Type: Pharmaceutical & Life Sciences

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development