Roles & Responsibilities
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.
Tell employers what skills you have
Machine Learning
Genomics
Pandas
Pipelines
Microbiology
Biomedical Engineering
Biology
PyTorch
Python
Bioinformatics
Metagenomics
Computational Biology
Metadata
Data Visualization