Skip to main content

Head of Data Science and Advanced Analytics


We are seeking a highly skilled and experienced Head of Data Science and Advanced Analytics to lead our Data Science team within the Global Biometrics and Data Sciences for Development organization. The ideal candidate will have a strong background in applying advanced analytics and modeling to extract high-value insights and quantitative decision making by leveraging multimodal data such as clinical, translational biomarkers (including imaging and digital), and real-world data to enhance trial design, increase precision, and improve the speed and success rate of therapeutic development. Leveraging advanced statistical modeling and analytics, with broad data science including machine learning and artificial intelligence to advance the R&D portfolio. The leader will be responsible for overseeing the development and implementation of data-driven solutions to enable rigorous and disciplined quantitative decision making in the portfolio and to support our business objectives.

Key Responsibilities

  • Strategic Leadership: Define, mature, and implement the data science strategy for the Development organization, aligning it with company-wide goals. This includes setting the vision, roadmap, and resource allocation for data science and advanced analytics in the R&D portfolio as well as platform enablement of our business goals.
  • Team Leadership: Lead and mentor a high-performing data science and advanced analytics team, including recruiting, developing, and retaining top talent. Foster a culture of excellence, innovation, and continuous improvement. Manage and coordinate limited resources to produce quality deliverables within timelines for competing priorities.
  • Scientific Leadership: Drive the derivation of high-value insights from multimodal data, including clinical, biomarker, imaging, digital, RWD, and historical trial to optimize trial design, increase precision, and improve the probability of success and speed of therapeutic development. Ensure the quality and accuracy of data and analytical results.
  • Statistical and Data Science Innovation: Oversee development of advanced statistical and Data Sciences methodologies, modeling, and designs in complex evidence generation and decision-making. Implementing such innovation to optimize trial design, enable precision medicine, and enable exploratory insights for enhanced quantitative and model informed drug development
  • RWE Excellence: Provide executive leadership in leveraging RWD to generate insights for decision-making across the drug development cycle, generation of regulatory-ready evidence and real-time risk monitoring. Ensure proper data collection, validation, and analysis to enhance the robustness and relevance of findings.
  • AI/ML Innovation: Spearhead the development and deployment of advanced AI and machine learning capabilities to solve complex challenges in clinical trials and leveraging patient and operational data to enhance the Quantitative Decision Making while improving Probability of Technical Success. This involves integrating tools like LLMs and generative AI into critical processes, incorporating cutting-edge NLP and LLMs to scientifically and operationally advance our portfolio and developing multimodal foundational models.
  • Data Governance & Compliance: Ensure compliance with regulatory requirements, privacy laws (like HIPAA and GDPR), and ethical standards related to data and AI. Collaborate with legal and compliance teams to establish best practices for data governance, security, and transparency.
  • Cross-Functional Collaboration: Partner closely with cross-functional teams, including R&D, clinical development, and IT, to identify opportunities and translate insights into actionable business strategies.
  • Technology & Platform Development: Oversee the development and management of data science platforms and infrastructure, including data architecture, MLOps, and cloud-based systems.
  • Measurement & Impact: Establish frameworks and metrics to measure the impact of data science initiatives and demonstrate their value to the business.

Qualifications:

  • Education: Advanced degree (M.Sc. or Ph.D.) in a quantitative field such as Data Science, Statistics, Computer Science, AI, Machine Learning, Bioinformatics is often preferred.
  • Experience: Extensive experience (10-15+ years) in advanced analytics, data science, AI/ML research, development, and implementation, preferably within the pharmaceutical or healthcare industry.
  • Leadership: Proven track record of building, managing, and inspiring high-performing data science teams. Experience in leading cross-functional teams is also highly valued.
  • Technical Expertise: Deep technical expertise in data science, machine learning, RWD, statistical modeling, and AI platform technologies. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices is important.
  • Business Acumen: Strong business acumen and the ability to translate technical insights into actionable recommendations for the organization.
  • Communication: Excellent communication and presentation skills, with the ability to clearly articulate complex concepts to both technical and non-technical stakeholders.

qualified candidates should email resume to jobs@tseworldwide.com