Advanced Analytics, AI & Automation Lead

Pharvaris

2d•$165,000 - $195,000•Hybrid

About The Position

Pharvaris is seeking an Advanced Analytics, AI & Automation Lead to join its global Biometrics and Data Science (BDS) team. Reporting into the Applied Intelligence organization, this role transforms complex scientific, statistical, and operational challenges into scalable analytical products, automation solutions, and decision-support capabilities that accelerate operational activities. It combines advanced analytics, scientific computing, AI-enabled technologies, and product delivery to improve the efficiency, quality, and effectiveness of clinical development processes. The Lead bridges biometrics, clinical development, information technology, and business stakeholders, translating scientific requirements into production-ready capabilities and measurable value. The position is part of the BDS organization and supports Pharvaris’ goal of becoming a technology-enabled, data-driven organization. The role is remote/hybrid, with the employee required to be based in the United States, preferably on the East Coast. Pharvaris promotes a flexible hybrid environment in which employees choose where, and to some extent when, they work. The company describes its culture as grounded in consideration for others, trust, rigor, diversity of thought, and freely contributing to work focused on developing breakthrough therapies.

Requirements

Bachelor’s degree in data science, statistics, computer science, mathematics, engineering, informatics, life sciences, or a related discipline.
5–8 years of relevant experience developing analytical solutions, scientific computing applications, or data products in pharmaceutical, biotechnology, healthcare, or other regulated industries.
Demonstrated success translating scientific or business requirements into scalable software, analytical products, or operational capabilities.
Experience leading cross-functional initiatives involving analytics, technology, and business stakeholders.
Experience deploying production-grade analytical applications, decision-support tools, or automation solutions.
Strong understanding of AI, machine learning, analytics, automation, and modern data platforms.
Proficiency with analytical and programming environments such as Python, R, SAS, SQL, or equivalent technologies.
Familiarity with cloud, data, and technology ecosystems used to support advanced analytics and intelligent systems.
Strategic thinking and ability to connect technology investments to business outcomes.
Ability to influence without authority and build alignment across diverse stakeholder groups.
Effective communication skills, including translating complex technical concepts into actionable business insights.
Ability to balance innovation, pragmatism, and operational execution.
Self-directed, results-oriented leadership and ability to thrive in dynamic, evolving environments.

Nice To Haves

Advanced degree (MS, PhD, or equivalent).
Experience working in GxP-regulated or highly governed environments.

Responsibilities

Apply advanced statistical, machine learning, simulation, and analytical techniques to complex statistical, commercial, clinical, and business challenges.
Partner across departments to identify opportunities for advanced analytics to improve understanding, efficiency, and decision quality.
Develop reusable analytical methodologies and frameworks for use across studies and programs.
Identify and evaluate opportunities to apply generative AI, advanced analytics, and automation to business processes.
Lead experimentation and prototyping to evaluate emerging technologies and assess organizational fit and business value.
Promote responsible, compliant, and effective adoption of AI-enabled capabilities across BDS.
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 technology-enabled solutions.
Collaborate with functional leaders to redesign business processes and operating models to maximize the value of technology investments.
Establish metrics and value-realization frameworks to demonstrate measurable impact from analytics and automation initiatives.
Drive adoption of new tools and workflows through stakeholder engagement, training, and change management.
Advise on analytical strategy, AI adoption, and automation opportunities.
Mentor and develop technical talent within the Applied Intelligence organization.
Foster scientific rigor, innovation, experimentation, and continuous improvement.