Junior AI Engineer

18 hours ago

Singapore SEQUENTIAL PTE. LTD. Full time

Sequential Skin is a pioneering biotech company applying advanced genomics and artificial intelligence to understand the human skin microbiome. We are looking for a Junior AI Engineer with a foundation in bioinformatics, microbiology, and machine learning to join our growing data science team in Singapore.You will work closely with our bioinformatics and R&D teams to design and implement machine learning architectures for biological data - including human and microbial genomics, metagenomics, and skin health datasets.Key Responsibilities Assist in developing, training, and deploying AI/ML models for biological and microbiome data analysis. Collaborate with bioinformaticians to preprocess, normalize, and integrate omics datasets (DNA, microbiome, SNP, and expression data). Implement and optimize data pipelines for large-scale biological datasets. Participate in the development of AI/ML architectures , including feature selection, hyperparameter tuning, and model validation. Contribute to data visualization and interpretation of biological patterns. Support publication and reporting efforts with high-quality figures, analyses, and documentation. Requirements Bachelor's or Master's degree in Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering , or related fields. Basic understanding of microbiology, genomics , and AI/ML principles . Proficiency in Python (preferred) and common ML/data science frameworks (e.g. PyTorch, TensorFlow, scikit-learn, pandas, numpy). Familiarity with bioinformatics tools (e.g. QIIME2, Kraken2, MetaPhlAn, or similar) is a plus. Comfortable working with genomic/microbiome datasets and understanding biological metadata. Strong problem-solving skills, curiosity, and willingness to learn across disciplines. Good communication skills and ability to work in a cross-functional team. Bonus Skills Experience with cloud platforms (AWS, GCP) or ML pipeline orchestration. Understanding of omics data formats (FASTA, FASTQ, VCF). Exposure to statistical modelling , network analysis , or deep learning architectures . Prior internship or academic research experience in microbiome, genomics, or related AI fields. What We Offer Opportunity to work at the intersection of AI and microbiology , contributing to novel skin health discoveries. Exposure to real-world clinical and omics datasets . Mentorship from an interdisciplinary team of geneticists, bioinformaticians, and AI specialists. Collaborative, mission-driven environment in a rapidly growing biotech startup. Application Instructions Submit your CV and a short statement (max 200 words) about your interest in applying AI to biology or health.Applications will be reviewed on a rolling basis.

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