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Signal Processing & Data Analysis Expert

7NPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano15 września 2026
Wykryte przez nas
Wykryte przez nas17 września 2026
Zarobki
Zarobki23 520 - 27 720 PLN

7N is seeking a Signal Processing & Data Analysis Expert to join a pharmaceutical project focused on algorithm validation and platform migration. You will play a critical role in ensuring the consistency, reliability, and equivalence of signal processing outputs across various data pipelines and environments.

Key responsibilities

  • Provide expert guidance on signal processing to engineering, migration, and clinical teams.
  • Investigate data discrepancies, anomalies, and edge cases using advanced statistical methods.
  • Analyze and document existing signal processing algorithms to support validation and knowledge transfer.
  • Design robust validation frameworks, test cases, and acceptance criteria for algorithm comparison.
  • Collaborate with engineers and data migration specialists to resolve data integrity issues and ensure full traceability.

Requirements

  • PhD in Electrical Engineering, Applied Mathematics, Physics, Data Science, or a related quantitative field.
  • Strong background in Digital Signal Processing and time-series analysis.
  • Hands-on experience with Python, including NumPy, SciPy, and pandas.
  • Proven experience in algorithm or software validation, testing, and defining acceptance criteria.
  • Excellent documentation and communication skills with fluent English proficiency.

What we offer

  • Ongoing support from a dedicated agent focused on your project continuity and professional comfort.
  • Access to the Consultant Development Program with growth planning and mentorship.
  • Participation in the 7N Learning & Development platform featuring webinars, industry reports, and technical events.
  • A comprehensive benefits package including medical care, life insurance, and sports cards.
  • Opportunities to share knowledge and collaborate with highly experienced IT experts.

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