About CARLOS SIMÓN FOUNDATION FOR RESEARCH IN WOMEN'S HEALTH
This is a non-profit organization located in Valencia (Spain) founded and directed by Professor Carlos Simón, professor at the University of Valencia and renowned clinical researcher in the field of obstetrics and gynecology.
We are a multidisciplinary team made up of more than 40 professionals.
We work to create a world in which women's health pathologies that affect the uterus are no longer a barrier to their quality of life and reproductive desire.
Our main activity is biomedical research in the field of reproductive medicine and women's health, and the development of initiatives aimed at improving our knowledge in the field and its clinical application.
We are hiring a Senior Bioinformatics Scientist
Are you an experienced Bioinformatician with a drive to impact the lives of patients worldwide?
Would you like to apply your bioinformatics and data science expertise to some of the most pressing issues in women's health?
Here, at the Carlos Simon Foundation, we are positioned at the forefront of scientific discovery in reproductive medicine and women's health.
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.
* Disseminate the results of data analyses internally and externally; support the Foundation's researchers in publications.
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 of the following core areas: RNA and DNA-based NGS, multivariate and/or high-dimensional omics integration, single-cell transcriptomics, epigenomics, 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.
* Solid understanding of molecular and cell biology.
* Strong foundation in biostatistics, data science, and machine learning.
Other Requirements:
* Experience in supervising junior team members.
* Experience with developing reproducible bioinformatics pipelines using Snakemake / Nextflow.
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