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Staff Scientist

  • Limassol, Remote
  • Specialism : Scientist
  • Post Date: February 17, 2025
  • Expires In : 27 Days
  • Apply Before: May 19, 2025
  • Applications 0
  • Views 526
Job Overview

JOB SUMMARY

Requirements
  • PhD in quantitative field (bioinformatics, biology, computational/systems biology, physics, mathematics) with at least 3 years of experience; or equivalent experience and education.
  • Demonstrated expertise in single-cell sequencing analysis, supported by a strong scientific background in single-cell biology.
  • Strong background in molecular biology, cellular biology, genetics and/or biochemistry, with a solid understanding of biological principles and experimental techniques.
  • Proficiency in R and Python, with expertise in data visualization libraries (e.g., ggplot2, seaborn) to generate clear, insightful visualizations for both technical and non-technical audiences.
  • Ability to develop well-documented, version-controlled, reproducible code.
  • Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.
  • This role requires an in-person presence at our office to foster collaboration.
  • Up to 10% travel required for meetings, conferences, and/or customer engagements.
  • Demonstrated ability to perform the Essential Duties of the position with or without reasonable accommodations.
Responsibilities
  • Collaborate with interdisciplinary scientists to inform experiment design, data collection, analysis, and interpretation.
  • Leverage machine learning and statistical methods to extract meaningful insights from large-scale biological datasets.
  • Lead the analysis of multi-omic datasets and reporting of results to internal and external stakeholders.
  • Present findings and contribute to project discussions and strategic decision-making.
  • Support the development and optimization of analytical pipelines for processing multi-omic datasets generated by our technology.
Desired Qualifications
  • Experience with developing novel, production-grade R/Python analysis packages, with a focus on usability and scalability, as well as contributing to existing tools with a growing user base.
  • Experience with cloud computing, preferably AWS.
  • Experience with analysis of flow cytometry and/or imaging data.

 

 

 

 

 

 

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Staff Scientist

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