The Role
ImmunoQs Digital Analytics Lab (DAL) is seeking a highly motivated, well-organized individual to work closely with the DAL Director in supporting our clients and collaborators with the analysis of big spatial proteomics and/or transcriptomics data for cancer biomarker discovery applications. The successful candidate will also help to develop new AI-driven bioinformatics tools and improve our existing data analytics workflows, making emerging spatial omics technologies more accessible to clinicians and researchers.
Responsibilities:
- Perform data processing, quality control, and downstream analysis for spatial proteomics and transcriptomics datasets.
- Integrate multi-modal datasets (e.g., spatial protein + RNA + clinical metadata) to generate meaningful biological insights.
- Develop and implement data analysis workflows for new spatial omics technologies and experimental designs.
- Perform image and data quality control and annotate regions of interest from tissue images where required.
- Generate heatmaps, bar charts, spatial maps, or other graphs to represent analysis results clearly.
- Document analysis methodologies, results, and records in a reproducible and traceable manner.
- Prepare reports and presentations to our clients or collaborators.
- Provide technical support and assistance to clients or collaborators as needed.
- Support business development strategies and marketing efforts through scientific input and data-driven storytelling.
- Learn the latest spatial omics instruments, techniques, and data processing and analysis methodologies by reading papers and attending/participating in appropriate workshops, seminars, and courses.
What we're looking for:
- Bachelor, Master, or Ph.D. in computational biology, bioinformatics, bioengineering, biomedical science, biological science, life sciences, computer science, or other relevant fields. Candidates with Ph.D. will be considered for a Senior Bioinformatics Scientist position,
- Proficiency in programming languages andsoftware tools commonly used in bioinformatics and spatial omics, including R and Python, is required.
- Good knowledge in data normalization, RNA expression analysis, differential analysis, pathway enrichment analysis, clustering analysis, and basic machine learning algorithms are required.
- Previous experience in analyzing spatial transcriptomics data (such as Visium, CosMx, GeoMx, Stereo-seq, Xenium) and/or multiplex tissue images using ImageJ, QuPath, or other tools is highly desirable
- Previous experience in using AI or deep learning models, agents, or tools to analyze biological data (such as images, sequences, and/or expression profiles) is highly desirable.
- Good knowledge in molecular biology, transcriptomics, cancer, and immunology. Previous experience in microscopy, imaging, or tissue staining is highly desirable.
- Preferably with 1 or 2 years of experience working in a research laboratory or relevant industry environment.
- Excellent analytical and problem-solving skills, with the ability to analyze complex datasets and draw meaningful conclusions.
- Strong attention to detail and ability to implement quality controls for reliable and accurate analysis outcomes.
- Excellent verbal and written communication with good documentation skills.
- Ability to work collaboratively in a fast-paced and dynamic startup environment.
About ImmunoQs
ImmunoQs is building a next-generation digital analytics platform that accelerates the application of AI models, as well as spatial proteomics and transcriptomics technologies, in precision medicine. We help clinicians and researchers translate complex tissue data into clear biological and clinical insights, supporting the development of better therapies and more precise diagnostic assays. We collaborate with leading medical centers, omics technology providers, research institutes, and pharmaceutical companies from Singapore and around the world. At ImmunoQs, we value open communication, strong teamwork, and innovative thinking. If you're excited to work in a fast-paced startup and make a meaningful impact on patient care, we'd love to hear from you.
