Junior AI Engineer (Bioinformatics & Microbiome Focus)

SEQUENTIAL PTE. LTD.; Singapore; On-site; SGD 55,000 - 75,000; Full time

Job summary

A pioneering biotech company in Singapore is seeking a Junior AI Engineer to leverage AI and machine learning in understanding the human skin microbiome. The role involves developing AI/ML models for biological data analysis, collaborating with bioinformatics teams, and optimizing data pipelines. A background in bioinformatics or a related field is required, along with strong Python proficiency. Competitive advantages include exposure to real-world datasets and mentorship from experts in the field.

Benefits

Opportunity to work at the intersection of AI and microbiology

Exposure to real-world clinical and omics datasets

Mentorship from an interdisciplinary team

Collaborative, mission-driven environment

Qualifications

• Understanding of microbiology, genomics, and AI/ML principles required.
• Familiarity with bioinformatics tools (e.g. QIIME2, Kraken2) is a plus.
• Strong problem-solving skills and willingness to learn.

Responsibilities

• Develop, train, and deploy AI/ML models for biological data analysis.
• Collaborate with bioinformaticians on data integration.
• Implement and optimize data pipelines for biological datasets.

Skills

Bioinformatics

Machine Learning

Microbiology

Python

Problem-solving

Teamwork

Education

Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering

Tools

PyTorch

TensorFlow

scikit-learn

pandas

numpy

Job description

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.