Data Scientist, Cancer Diagnostics & Biomarker Discovery

Mirxes

Singapore

In loco

SGD 90.000 - 130.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Mirxes in Singapore is seeking a Data Scientist to lead projects analyzing large in-house datasets to support cancer diagnostic products. You will collaborate with clinical, assay development, and product teams to translate data-driven insights into actionable development directions.

The role requires a PhD or MSc in a related field, plus experience building multi-marker diagnostic models, strong coding skills, and familiarity with NGS and circulating nucleic acids.

Competenze

  • PhD or MSc in a related science field.
  • At least 2 years of experience developing multi-marker diagnostic models, including data processing and ML.
  • Good understanding of diagnostic biomarker discovery and biomarker panel optimization.

Mansioni

  • Perform in-depth analysis on data with ML and statistical methods.
  • Discover hidden information in data and present results clearly for scientific contend creation.
  • Identify novel DNA/RNA/ncRNA biomarkers for cancers or develop models for multi-marker tests.
  • Work with deep learning to integrate omics data with radiomics from CT and X-Ray images.
  • Develop analytics tools and methods for data understanding, data generation process refinement, and QC.
  • Facilitate experimental design, process setup, and QC with statistical insights.
  • Support other commercial activities.

Conoscenze

Good coding skills
Experience with multi-marker models

Formazione

PhD/MSc in related science background

Strumenti

NGS
Circulating nucleic acid analysis

Descrizione del lavoro

Mirxes in Singapore is seeking a Data Scientist to lead projects analyzing large in-house datasets to support cancer diagnostic products. You will collaborate with clinical, assay development, and product teams to translate data-driven insights into actionable development directions.

The role requires a PhD or MSc in a related field, plus experience building multi-marker diagnostic models, strong coding skills, and familiarity with NGS and circulating nucleic acids.

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