aBioinformatics Senior Scientistto

• Develop, optimize, and maintain pipelines for NGS data analysis, with a focus on RNA-seq.
• Perform large-scale data mining, integration, and interpretation of genomics datasets.
• Apply machine learningand statistical approaches to identify novel biomarker signatures.
• Write and maintainefficient, reproducible, and well-documented code in Bash, Python, and R.
• Assist in the developmentof software and custom scripts to automate data input, retrieval, processing, and analysis.
• Contribute to the preparationof patents, scientific publications, and regulatory submissions.

• PhD in bioinformatics, computational biology, data science, or a related field, and3+ yearsof postdoctoral or industry experience.
• Proven track recordin NGS data analysis (especially RNA-seq).
• Proficiencyin Python and R.
• Experiencewith workflow management systems (Nextflow is a plus).
• Solid backgroundin genomics, biostatistics, and machine learning.
• Familiaritywith Linux environments.
• A publication recordin peer-reviewed journals.
• Strong communication skills, both oral and written.
• Fluentin English., * Experience with cloud infrastructures (AWS is a plus).
• Experience in deep learning and advanced ML methods.
• Hands-on experience in Nextflow development.
• Solid experience in software development and engineering best practices.

• Permanent contractand a competitive compensation package (base salary + variable),
• aligned with your experience and contributions.
• 23 days of vacation+ 3 company-defined days.
• Extra day of holidayto celebrate your birthday.
• Opportunitiesto expand your leadership skills, contribute to publications, and shape innovations with real-world clinical impact.

At Flomics, we welcome talent from all backgrounds and are committed to building a diverse and inclusive team.

full_time

Organization Flomics Biotech

Flomics is a fast-growing biotech company founded in 2018 in Barcelona. We are developing a revolutionary liquid biopsy test for the early detection of cancer, based on the analysis of cell-free RNA in blood. By combining cutting-edge genomics with advanced bioinformatics and machine learning, we’re identifying novel biomarker signatures that can transform diagnostics. Our goal: make cancer detection simple, scalable - and possible from just a single blood sample. Beyond scientific innovation, we are an international and multidisciplinary team driven by collaboration, continuous learning, and the ambition to improve the lives of millions of people worldwide.