Gene Solutions

Overview of job

We are seeking a highly skilled and motivated Data Engineer/Analyst, or Bioinformatician to join our growing team, focusing on AI-powered solutions in precision oncology. Collaborating with interdisciplinary teams, you will contribute to projects focused on omics data analysis and real-time machine learning inference to drive cancer treatment discovery, optimize clinical decision-making, and predict patient outcomes.

Key Responsibilities:

• Develop and maintain predictive models and scalable pipelines for omics data analysis in precision oncology.
• Design and implement software solutions to integrate multi-omics and clinical data, supporting personalized treatment decision-making.
• Optimize algorithms and data workflows for performance, efficiency, and scalability in high-throughput environments.
• Ensure seamless integration, storage, and retrieval of data.

• Competitive compensation: Attractive salary package with performance-based bonuses.
• Healthcare coverage, paid time off: Comprehensive healthcare coverage, generous vacation days, sick leave
• Cutting-edge projects: Be at the forefront of precision oncology, collaborating on meaningful projects that have a real impact on patient care.
• Collaborative culture: Work in an innovative, interdisciplinary environment alongside leading experts in biotechnology and AI.

• Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Software Engineering, Biotechnology, or a related field.
• Hands-on experience with large-scale omics and clinical datasets.
• Strong experience in developing machine learning and deep learning models.
• Experience in building analysis pipelines using Snakemake or Nextflow.
• Proficiency with high-performance computing (HPC) systems, Singularity, and/or Docker.
• Understanding of software development best practices, including version control (Git), code reviews, and CI/CD pipelines.
• Familiarity with cloud platforms and big data processing tools (e.g., Spark, Hadoop).

Other requirements:

• Experience with SQL, NoSQL, or distributed data systems.
• Excellent collaboration skills for working with cross-functional teams, including biologists, clinicians, and engineers.
• Ability to manage multiple projects independently in a fast-paced environment.
• Passion for advancing healthcare through AI in precision oncology.

Nice to have:

• Experience preparing scientific manuscripts in a related field.