Senior Biomarker Biostatistician — AI/ML Focus (Europe)

Syneos Health, Inc.

España

Vor Ort

EUR 80.000 - 110.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Syneos Health, Inc. is seeking a Principal Biostatistician - Biomarker to lead biomarker statistics across European studies. The role focuses on RNA/genomics data, AI/ML integration, and advanced analytics with production-level code in Python/R.

Strong collaboration with cross-functional teams is required and independence is essential. You will contribute to Biomarker Evaluation Plans, reports, and interpretation of statistical deliverables within a pharma context, spanning diverse therapeutic

Qualifikationen

  • PhD or MSc in Biostatistics, Statistics or Mathematics.
  • Experience with ML and biomarker data is required.
  • Knowledge of RNA and genomic data handling is a plus.

Aufgaben

  • Collaborates with other functions to plan, execute and analyze biomarker aspects of studies.
  • Develops the Biomarker Evaluation Plan for studies.
  • Provides statistical input in clinical development discussions, including AI/ML approaches.
  • Coordinates statistical activities for biomarker R&D.
  • Conducts advanced data analysis for genomics and biomarker stats, including programming.
  • Handles RNA, olink and other biomarker data.
  • Produces Biomarker Evaluation Report with deliverables interpretation.
  • Works independently on routine and complex statistical questions.
  • Develops standard processes for biomarker analyses.

Ausbildung

PhD or MSc in Biostatistics, Statistics or Mathematics

Tools

PyTorch
TensorFlow
Keras
R (Bioconductor)
Bioconductor

Jobbeschreibung

Syneos Health, Inc. is seeking a Principal Biostatistician - Biomarker to lead biomarker statistics across European studies. The role focuses on RNA/genomics data, AI/ML integration, and advanced analytics with production-level code in Python/R.

Strong collaboration with cross-functional teams is required and independence is essential. You will contribute to Biomarker Evaluation Plans, reports, and interpretation of statistical deliverables within a pharma context, spanning diverse therapeutic

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