
Senior Data Science Leader
2 weeks ago
About the Role:
We are seeking a skilled professional to lead data analysis and scientific endeavors. The ideal candidate will have a PhD in Bioinformatics or Biotechnology with hands-on experience in clinical projects.
This customer-facing role requires applying deep understanding of biology and computational methods to analyze high-dimensional omics data, generate actionable insights, and support clients in solving complex biological problems.
Key Responsibilities:
- Utilize expertise in biology and data science to present compelling scientific presentations and develop scalable solutions.
- Derive relevant insights from multi-omics biological data using state-of-the-art statistical methods.
- Develop and optimize tools, pipelines, and algorithms for the analysis and visualization of multi-omics biological data.
- Contribute to knowledge graph construction and structured data models, ensuring datasets are AI/ML-ready for downstream applications.
- Collaborate with a diverse team of experts to translate customer requirements into innovative solutions.
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 discipline.
- Proven expertise in processing and analyzing omics data using predefined/custom end-to-end analysis workflows.
- Proficient in a programming language used for data analysis such as Python or R.
- Hands-on experience applying computational algorithms and statistical methods to big data.
Benefits:
- Opportunity to work on cutting-edge projects.
- Collaborative environment with experienced professionals.
- Promotion opportunities based on performance.
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