Regulated Life Sciences Data Engineer

Philogen S.P.A.

Bardi

In loco

EUR 70.000 - 110.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Competitive salary
Leadership exposure
Applied AI projects

Descrizione del lavoro

Philogen S.p.A. seeks a Life Sciences Solutions Engineer blending coding with in-depth life-sciences expertise. You will model data, validate systems, and guide AI-enabled data workflows in regulated environments, collaborating with clinical and quality teams.

The role demands pharma/regulatory know-how, strong Python and SQL skills, and experience in data governance and trial data management.

Competenze

  • 5+ years in software/data engineering or related field.
  • Deep expertise in pharmaceutical quality, regulated systems, or clinical trials.
  • Strong coding in Python with SQL and data modeling experience.

Mansioni

  • Translate requirements into data models, workflows and access rules.
  • Guide deployment through quality, privacy, security, and regulatory requirements.
  • Analyze clinical trial data across studies, sites, subjects and visits.
  • Define and test controls for sensitive information and audit trails.
  • Produce and maintain validation and operating documentation.
  • Collaborate with quality, clinical, security, legal and engineering teams.

Conoscenze

Python
SQL
Data modeling
Regulatory compliance
Communication

Formazione

Master’s in Computer Science / Engineering / Life Sciences
Strong mix of technical & life-sciences background
International exposure

Descrizione del lavoro

Philogen S.p.A. seeks a Life Sciences Solutions Engineer blending coding with in-depth life-sciences expertise. You will model data, validate systems, and guide AI-enabled data workflows in regulated environments, collaborating with clinical and quality teams.

The role demands pharma/regulatory know-how, strong Python and SQL skills, and experience in data governance and trial data management.

Ottieni la revisione del curriculum gratis e riservata.
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