LIFE SCIENCES SOLUTIONS ENGINEER

Philogen

Pharmaceutical Industry

20148 Milano, Lombardia - Italien

Senior Specialist / Project Manager

Experteer Overview

In this role you bridge software engineering and regulated life sciences to deploy AI and data systems in validated workflows. You’ll work closely with engineers, clinical teams, quality, and compliance to translate pharma/clinical requirements into data models and compliant deployments. The role involves inspecting data, defining controls, and producing solid validation documentation, with a focus on scalable, production-grade solutions. You will influence how AI-enabled systems are introduced into regulated operations, delivering impact across clinical and quality domains.

Compensation / Benefits

Full-time employment under CCNL
Competitive gross annual salary (70,000–110,000 EUR)
Hands-on role at intersection of software, clinical operations, and compliance
Opportunities to define AI-system validation in regulated workflows
Exposure to leadership and high-impact projects
Engineering-driven, fast-moving environment

Responsibilities

Translate pharmaceutical and clinical requirements into data models, workflows and access rules
Guide software deployment respecting quality, privacy, security, and regulatory requirements
Identify applicable regulatory frameworks for each use case
Analyze clinical trial data across studies, sites, subjects, forms, queries, and audit history
Define and test controls for sensitive information, including RBAC, separation of duties, approvals, and audit trails
Produce and maintain validation and operational documentation (risk assessments, traceability, test evidence)
Collaborate with quality, clinical, security, legal, and engineering to align procedures with system behavior
Support workshops, deployment planning, validation, training, and post-deployment reviews

Key requirements

5+ years in software engineering, data engineering, solutions architecture, or a similar technical role
Deep expertise in pharmaceutical quality, regulated computerized systems, or clinical trials
Strong coding skills in Python and practical SQL and data-modeling experience
Ability to trace data pipelines from source to transformed and audited state
Effective communication with engineers and cross-functional stakeholders
Experience in pharma/biotech/healthcare/regulatory environment
Proficient in English and in producing precise technical/validation documentation
Experience with modern AI tools and responsible deployment of agent-based systems

clear communication cross-functional collaboration attention to detail Python SQL Data modeling

Description

In this role you bridge software engineering and regulated life sciences to deploy AI and data systems in validated workflows. You’ll work c…

1M+ top positions worldwide with salary benchmarks
Be discreetly found and contacted by headhunters
Exclusively for senior-level professionals and executives

Already a member?