Genomic Data Scientist

We are seeking a passionate and innovative Genomic Data Scientist to join our cutting-edge team based on a 12-month fixed-term contract.

You will work in an agile, collaborative environment as part of a multidisciplinary team, providing strong programming skills for germline and somatic variant analyses for our Long Reads pipeline squad.

Everyday responsibilities include:

• Researching scientific literature, identifying new approaches to genome analysis, and contributing to the publication and dissemination of our findings.
• Developing and fine-tuning algorithms for variant prioritization and classification for cancer diagnostics and screening.
• Benchmarking and improving tools for processing and analyzing whole genome data (e.g., alignment, variant callers, quality control), and performing custom computational analyses.
• Managing the full cycle of NGS data analysis, from sequencing QC to annotation and prioritization of variants

Skills and experience for success:

• Strong programming skills in Python and R.
• Knowledge of statistics and/or machine learning.
• Familiarity with high-throughput sequencing algorithms.

Requirements

• Expertise in cancer genomics, understanding tumor drivers, and interpreting genomic data through targeted pathways.
• Proficiency in using Python for efficient data processing and analysis.
• Hands-on experience in developing high-quality, reusable code, with a strong command of Git and CI/CD practices.
• Ability to evaluate statistical and machine learning techniques, apply them in practical scenarios, and interpret results while considering the assumptions and limitations of the methods.
• Experience working in cross-functional analytical team in an academic or industry setting.