Bioinformatics Lead for Women's Health Research

hace 1 mes


Madrid, Madrid, España Sebibc A tiempo completo

We are seeking a highly skilled Senior Bioinformatics Scientist to join our team at the Carlos Simon Foundation. As a leading research organization in reproductive medicine and women's health, we are poised to drive scientific discovery and impact the lives of patients worldwide.

As a key member of our Bioinformatics & Biostatistics function, you will be responsible for supervising junior staff members, leading complex bioinformatics analyses of NGS datasets, and developing novel analytical methods. You will collaborate closely with a multidisciplinary team of biologists, biostatisticians, lab technicians, and other experts to ensure analytical excellence, quality, and impact of conducted studies.

The ideal candidate will have a PhD in Bioinformatics, Mathematical Statistics, Computer Science, or another quantitative discipline, or an MSc in a technical field with 3+ years of industry experience. You will possess proven experience in data analysis, management, and visualization within several core areas, including RNA and DNA-based NGS, multivariate and/or high-dimensional omics integration, single-cell transcriptomics, epigenomics, and metagenomics.

Key Accountabilities and Responsibilities:

  • Serve as a key senior member of the Bioinformatics & Biostatistics function
  • Lead complex bioinformatics analyses of human NGS datasets
  • Collaborate closely with a multidisciplinary team of biologists, biostatisticians, lab technicians, etc.
  • Ensure analytical excellence, quality, and impact of conducted studies
  • Supervise, lead, and train junior bioinformaticians
  • Develop novel bioinformatics and analytical methodologies

Required skills and experience:

  • PhD in Bioinformatics, Mathematical Statistics, Computer Science, or another quantitative discipline; alternatively, MSc in a technical field and 3+ years of industry experience
  • Proven experience in data analysis, management, and visualization within several core areas: RNA and DNA-based NGS, multivariate and/or high-dimensional omics integration, single-cell transcriptomics, epigenomics, and metagenomics
  • Proficiency and deep understanding of several areas within modern NGS bioinformatics (bulk- and scRNA-seq, ATAC-seq, Spatial Transcriptomics, etc.)
  • Comprehensive knowledge of key bioinformatics tools and algorithms
  • Fluency in R, Bioconductor, RMarkdown, and related analysis tools
  • Proficiency in working with Linux- and/or cloud-based HPC environments, experience with shell scripting and standard command line tools

Estimated salary: $140,000 - $170,000 per year, depending on experience and qualifications.



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