
Senior Data Analyst
7 hours ago
About the Role:
We are seeking a Senior Bioinformatics Scientist to spearhead our team of experts in clinical projects.
The ideal candidate will bring strong expertise across multi-omics data types, including single-cell, proteomics, and metabolomics analysis. They should have hands-on experience with EHR integration and AI-driven solutions through scalable computing platforms.
In this customer-facing role, you will apply your deep understanding of biology and computational methods to analyze high-dimensional omics data, generate actionable insights, and support our clients in solving complex biological problems.
Key Responsibilities:
- Present compelling scientific presentations and develop scalable solutions based on biological problem statements and multi-omics data.
- Analyse multi-omics biological data using state-of-the-art statistical methods to derive relevant insights.
- Develop and optimize tools, pipelines, and algorithms for the analysis and visualization of multi-omics biological data.
- Contribute to the ideation & deployment of knowledge graphs and structured data models, ensuring datasets are AI/ML-ready for downstream applications.
- Collaborate with ML specialists, data scientists, and bioinformatics engineers to translate customer requirements into innovative solutions.
Required Skills and Qualifications:
- PhD (with 0-2 years of relevant experience) or Masters (with 3-5 years of relevant experience) in Bioinformatics, Computational Biology, Biotechnology, or related technical disciplines.
- Expertise in processing and analyzing omics data using predefined/custom end-to-end analysis workflows to derive actionable insights and clinical data integration.
- Proficient in programming languages used for data analysis such as Python or R.
- Hands-on experience applying computational algorithms and statistical methods to structured and unstructured big data.
Benefits:
- A diverse team environment that fosters collaboration and innovation.
- A platform for advancing life science research through data-driven solutions.
Others:
- This role is ideal for someone who thrives at the intersection of biology, data science, and customer collaboration, with strong communication skills and a passion for advancing life science research through data.
- Familiarity with AI/ML applications in biomedical data analysis is highly desirable.
- Previous experience in customer collaboration and successful project delivery is an added advantage.
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