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Senior Remote Research Scientist - Computational Biology

Veröffentlicht am

Arbeitsort
Randburg, Deutschland
Gehaltsschätzung
75.000–105.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-28). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.

Stellenbeschreibung

About the Role

Our client is a global leader in life sciences research and is seeking an exceptional Senior Remote Research Scientist specializing in Computational Biology . This fully remote position offers the opportunity to work from anywhere while contributing to groundbreaking discoveries. You will lead complex bioinformatics projects, develop cutting-edge computational models, and analyze large-scale biological datasets to uncover novel insights. This role is critical for driving innovation and requires a highly motivated individual capable of working autonomously and collaborating effectively across distributed teams. Join us in advancing biological understanding from the comfort of your home office.

Key Responsibilities

  • Lead the design and execution of computational biology research projects, including genomics, transcriptomics, and proteomics analysis.
  • Develop and implement advanced algorithms and statistical models for analyzing large biological datasets.
  • Collaborate with experimental biologists and clinicians to interpret findings and formulate new research hypotheses.
  • Build and maintain robust bioinformatics pipelines and workflows for data processing and analysis.
  • Mentor junior computational scientists and contribute to the scientific direction of the team.
  • Communicate complex scientific results through presentations, publications, and internal reports to a global audience.

Requirements

  • Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
  • Minimum of 6 years of experience in computational biology or bioinformatics research, preferably within the biotech or pharmaceutical industry.
  • Expertise in analyzing large-scale biological data (e.g., next-generation sequencing data).
  • Proficiency in programming languages such as Python, R, and relevant bioinformatics tools and databases.
  • Strong understanding of molecular biology principles and biological pathways.
  • Excellent communication, collaboration, and problem-solving skills, with a proven ability to work effectively in a remote setting.

Benefits

  • A highly competitive salary, commensurate with experience and remote location.
  • Comprehensive health, dental, and vision insurance coverage, accessible globally.
  • Significant budget for professional development, including online courses and virtual conferences.
  • Flexible work hours and the ability to work from anywhere with a reliable internet connection.
  • Opportunity to contribute to impactful research with a globally distributed, innovative team.