Full Time Bioinformatics Scientist - Data Scientist - AI Engineer Jobs, in Quantum Life - Maukerja

Role Description This full-time Bioinformatics Scientist / Data Scientist / AI Engineer role is based in Singapore and follows a hybrid work model, combining on-site collaboration with flexible work-from-home arrangements. The role involves designing and implementing computational pipelines for multi-omics and sequencing data, performing statistical and machine learning analyses, and developing models to identify aging biomarkers and risk profiles. Daily responsibilities include curating and preprocessing complex biological datasets, collaborating with clinicians and researchers to translate findings into actionable insights, and documenting analytical methods and results in a clear, reproducible manner. The successful candidate will also contribute to AI-driven tools and platforms, evaluate new technologies, and support the integration of research outputs into product features and clinical workflows.

Qualifications

• Strong foundation in quantitative methods, including Statistics and Data Analysis, with experience applying these skills to biological or clinical datasets.
• Practical experience with Sequencing and DNA Sequencing workflows, including data processing, quality control, and interpretation of sequencing results.
• Demonstrated Research skills, such as hypothesis formulation, experimental design, literature review, and preparation of reports or publications.
• Proficiency in programming languages commonly used in bioinformatics and data science (e.g., Python, R) and familiarity with machine learning frameworks.
• Experience with bioinformatics tools, multi-omics data (genomics, transcriptomics, proteomics, metabolomics), and relevant databases and pipelines.
• Ability to work effectively in a hybrid environment, collaborating with multidisciplinary teams including clinicians, biologists, and engineers.
• Excellent written and verbal communication skills, with the capacity to present complex analytical findings to technical and non-technical stakeholders.
• Advanced degree (Master’s or PhD) in Bioinformatics, Computational Biology, Data Science, AI, Statistics, or a related field; comparable industry experience may be considered.
• Background in aging, longevity, or precision medicine, and experience in healthcare or biotech settings, is an advantage.