Accountabilities:

The Advanced Analytics, AI & Automation Lead will shape analytical strategy and deliver technology-enabled improvements across biometrics and clinical development. The role requires close collaboration with scientific, technical, and operational stakeholders to identify opportunities, develop scalable solutions, and demonstrate measurable business value. Key responsibilities include:

Apply advanced statistical methods, machine learning, simulation, and analytical techniques to solve complex statistical, clinical, commercial, and operational challenges.

Partner with cross-functional teams to identify opportunities where advanced analytics can improve business understanding, operational efficiency, and decision-making.

Develop reusable analytical methodologies, frameworks, and solutions that can be applied across multiple studies and development programs.

Identify and assess opportunities to leverage generative AI, advanced analytics, and automation technologies to improve business processes.

Lead experimentation, proof-of-concept development, and prototyping initiatives to evaluate emerging technologies and determine their organizational suitability and business value.

Promote the responsible, compliant, and effective adoption of AI-enabled capabilities across Biometrics and Data Science.

Translate scientific, regulatory, operational, and technical requirements into product roadmaps, software specifications, and implementation plans.

Improve the speed, quality, and reproducibility of biometrics and clinical development workflows through scalable, technology-driven solutions.

Collaborate with functional leaders to redesign business processes and operating models, maximizing the value of technology investments.

Establish performance metrics and value-realization frameworks to measure and demonstrate the impact of analytics, AI, and automation initiatives.

Drive the adoption of new tools and workflows through stakeholder engagement, training, and effective change management.

Act as a trusted advisor on analytical strategy, AI adoption, and automation opportunities.

Mentor and develop technical talent within the Applied Intelligence organization.

Foster a culture of scientific rigor, innovation, experimentation, and continuous improvement.

Requirements:

The ideal candidate brings 5–8 years of experience developing analytical solutions, scientific computing applications, or data products, preferably within pharmaceutical, biotechnology, healthcare, or other regulated industries. They combine strong technical expertise in analytics and AI with product delivery capabilities, strategic thinking, and the ability to influence cross-functional stakeholders. Additional qualifications include:

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Informatics, Life Sciences, or a related discipline.

Advanced degree (MS, PhD, or equivalent) is preferred.

5–8 years of relevant experience developing analytical solutions, scientific computing applications, or data products within pharmaceutical, biotechnology, healthcare, or other regulated environments.

Demonstrated ability to translate scientific or business requirements into scalable software, analytical products, and operational capabilities.

Experience leading cross-functional initiatives involving analytics, technology, and business stakeholders.

Proven experience deploying production-grade analytical applications, decision-support tools, or automation solutions.

Experience working in GxP-regulated or highly governed environments is preferred.

Strong understanding of artificial intelligence, machine learning, advanced analytics, automation, and modern data platforms.

Proficiency in analytical and programming environments such as Python, R, SAS, SQL, or equivalent technologies.

Familiarity with cloud, data, and technology ecosystems supporting advanced analytics and intelligent systems.

Strategic mindset with the ability to connect technology investments to measurable business outcomes.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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