We are hiring a Senior Bioinformatics Scientist at the Carlos Simon Foundation
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.
As a Senior Bioinformatics Scientist at the Carlos Simon Foundation, you will serve as a key member of the Bioinformatics & Biostatistics function. Among other things, you will be responsible for supervising junior staff members, leading and conducting bioinformatics analyses of NGS and other omics data, developing novel analytical methods, and driving the strategy for the management, utilization, and reuse of omics data within the Foundation.
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
Understanding in good software development practices and collaboration tools. Fluency with git is desirable.
Ability to clearly communicate bioinformatics algorithms, machine learning and statistical methods to non-technical stakeholders.
Experience in either Python (Pandas and NumPy stack) or a lower level programming language (Rust, C++, Java, etc.)
Ability to quickly understand scientific, technical, and process challenges and break down complex problems into actionable steps.
Ability to independently establish priorities and manage project workload
Excellent communication skills. Ability to network, influence, and build relationships.
Ability to work collaboratively and balance the need of multiple stakeholders
Capable of proposing innovative ideas
We offer:
Full package with attractive salary conditions based on the candidate's skills, experience, and suitability once selected.
Flexible working hours and hybrid work mode.
Future working trajectory within the Foundation.
22 vacation days, 2 personal leave days and 2 “pink days” (working hours adjustment).
Internal training opportunities and a collaborative research environment.
Access to flexible compensation program (meal, nursery, transport vouchers, health insurance).
On-site childcare program during school holidays.
Free coffee, snacks and kitchen essentials.
Gym partnership at reduced rate.
Team events: summer dinner, holiday celebration, paella contest.