
Expert Bioinformatics Specialist
1 week ago
About the Role:
We are seeking a highly skilled and experienced Senior Bioinformatics Scientist to join our team. The ideal candidate will have a strong background in bioinformatics, computational biology, and biotechnology, with hands-on experience in clinical projects.
Key Responsibilities:
- Utilize your expertise in biological problem statements and multi-omics data to present compelling scientific presentations and develop scalable solutions.
- Apply state-of-the-art statistical methods to analyze multi-omics (genomics, transcriptomics, proteomics, metabolomics, etc) biological data to derive relevant insights.
- Innovate to 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 a diverse team of ML specialists, data scientists, and bioinformatics engineers to translate customer requirements into innovative solutions.
- Work closely with technical owners and solution managers to foster account growth and nurture customer relationships.
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 with demonstrated work in clinical projects.
- Proven 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 a programming language used for data analysis such as Python or R.
- Hands-on experience applying computational algorithms and statistical methods to structured and unstructured big data.
- Track record of successful collaboration and independent work.
- Excellent communication and presentation skills, with the ability to work effectively in a collaborative environment.
Good-to-have:
- Exposure to EHR data integration for clinical and translational research.
- Experience with spatial omics data analysis and interpretation.
- Familiarity with AI/ML applications in biomedical data analysis.
- Experience working with cloud technologies and scalable computing platforms.
- Previous experience in customer collaboration and successful project delivery.
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