Computational Biologist | $60/hr Remote

Crossing Hurdles

La Réunion

Sur place

EUR 65 000 - 90 000

Plein temps

Il y a 13 jours
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Résumé du poste

Crossing Hurdles is seeking a PhD-level biologist or bioinformatician to evaluate AI systems in real-world computational biology use cases. You will assess AI-generated outputs in genomics, transcriptomics, and systems biology, and apply advanced analytical reasoning to review workflows and pipelines.

Collaborate with interdisciplinary teams and document observations with clear, actionable insights. Strong communication skills are essential to convey complex findings to both technical and

Qualifications

  • PhD in Biology, Bioinformatics, or closely related field (or equivalent industry/research experience).
  • Proven data-driven biological research and computational analysis workflows experience.
  • Proficient with Python, R, and Bash; experienced with bioinformatics tools listed (BWA, GATK, STAR, Salmon, Seurat, Scanpy).
  • Deep understanding of genomics, transcriptomics, or systems biology.

Responsabilités

  • Leverage biology domain expertise to evaluate AI systems in real-world computational biology use cases.
  • Assess AI outputs for accuracy and relevance in genomics, transcriptomics, and systems biology scenarios.
  • Apply analytical reasoning to review scientific workflows and pipelines, identifying improvements.
  • Collaborate with interdisciplinary teams, providing feedback on model performance based on biological context.
  • Document observations clearly with actionable insights for stakeholders.
  • Communicate complex concepts effectively to technical and non-technical audiences.

Connaissances

Python
R
Bash

Formation

PhD in Biology/Bioinformatics or related field

Outils

BWA
GATK
STAR
Salmon
Seurat
Scanpy

Description du poste

  • Leverage biology domain expertise to evaluate, annotate, and benchmark AI systems in real-world computational biology use cases.
  • Assess the accuracy, relevance, and performance of AI-generated outputs in genomics, transcriptomics, and systems biology scenarios.
  • Apply advanced analytical reasoning to critically review scientific workflows and pipelines, identifying strengths and areas for improvement.
  • Collaborate with interdisciplinary teams, providing feedback on AI model performance based on biological context.
  • Document observations and findings with clarity, highlighting scientific rationale and actionable insights.
  • Communicate complex concepts effectively through both written and verbal channels to technical and non-technical stakeholders.
Requirements
  • Have a PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry/research experience.
  • Have proven experience in data-driven biological research and computational analysis workflows.
  • Be proficient with scripting languages such as Python, R, and Bash, as well as scientific tools like BWA, GATK, STAR, Salmon, Seurat, or Scanpy.
  • Possess a deep understanding of genomics, transcriptomics, structural biology, or systems biology.
  • Demonstrate excellent scientific reasoning, analytical, and problem-solving abilities.
  • Have strong written and verbal communication skills, with the ability to articulate findings and collaborate effectively.
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