Regulated Life Sciences Data & AI Engineer

Philogen

Milano

In loco

EUR 70.000 - 110.000

Tempo pieno

7 giorni fa

Candidati tra i primi

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Descrizione del lavoro

Philogen S.p.A. is seeking a Life Sciences Solutions Engineer in Milano to bridge software engineering with regulated life-sciences workflows.

The role involves translating pharmaceutical and clinical requirements into data models, deploying software under quality controls, and ensuring compliant, auditable data handling. You will interact with engineers, clinical teams, and quality specialists to implement production-grade AI and data systems in regulated environments, requiring strong coding

Competenze

5+ years of professional experience in software engineering, data engineering, solutions architecture, or a comparable hands-on technical role.
Deep professional expertise in pharmaceutical quality, regulated computerized systems, or clinical trials.
Strong coding skills, preferably in Python, together with practical SQL and data-modeling experience.
Ability to understand complex data pipelines and trace how a source record is transformed, connected, exposed, and audited.

Mansioni

Translate pharmaceutical and clinical requirements into implementable data models, workflows and access rules.
Guide software deployment through the applicable quality, privacy, security, and regulatory requirements.
Determine which regulatory frameworks apply to each use case rather than treating every healthcare system as subject to identical controls.
Analyze clinical trial data covering studies, sites, subjects, visits, forms, observations, queries, reviews, medical coding, and audit history.
Define and test controls for sensitive information, including role-based access, separation of duties, approvals, and audit trails.
Produce and maintain documentation such as intended-use definitions, risk assessments, traceability matrices, validation plans, test evidence, operating procedures, and change records.
Work with quality, clinical, security, legal, and engineering stakeholders to resolve differences between written procedures and actual system behavior.
Support technical workshops, deployment planning, validation, training, and post-deployment reviews.