
Gene Solutions offers genetic testing services for cancer detection, precision therapy, and reproductive health. It uses Next-Generation Sequencing and AI-driven analyses across its global network of seven NGS laboratories, including two CAP-accredited facilities, to deliver assays such as non-invasive prenatal testing (NIPT), ctDNA-based cancer monitoring, and comprehensive genomic profiling. The company positions itself as a service-based provider, serving hospitals and clinics with advanced diagnostic and monitoring solutions across Asia. Since 2017, it has processed over 2.2 million tests and works with more than 4,500 healthcare providers, expanding its reach in Asia. Core technologies include AI, Genomics, NGS, and ctDNA-based assays.

Gene Solutions offers genetic testing services for cancer detection, precision therapy, and reproductive health. It uses Next-Generation Sequencing and AI-driven analyses across its global network of seven NGS laboratories, including two CAP-accredited facilities, to deliver assays such as non-invasive prenatal testing (NIPT), ctDNA-based cancer monitoring, and comprehensive genomic profiling. The company positions itself as a service-based provider, serving hospitals and clinics with advanced diagnostic and monitoring solutions across Asia. Since 2017, it has processed over 2.2 million tests and works with more than 4,500 healthcare providers, expanding its reach in Asia. Core technologies include AI, Genomics, NGS, and ctDNA-based assays.
Gene Solutions is a pioneering, rapidly growing, and well-funded biotechnology company with a cell-free DNA platform focused on women’s health and oncology screening. We aim to transform the standard of healthcare in developing countries by making breakthrough genetic tests—such as minimal residual diseases (MRD) detection—affordable and accessible to millions.
JOB DESCRIPTION
We are seeking a highly skilled and motivated Bioinformatic / Data Engineer to join our team and drive innovation in precision medicine. In this role, you will help develop and optimize advanced statistical and computational models, working at the intersection of data engineering and biomedical research. Collaborating closely with interdisciplinary teams, you will contribute to cutting-edge projects on biomedical data to support personalized cancer diagnoses and treatments.
Key Responsibilities:
JOB REQUIREMENTS
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