Bioinformatics Innovator

About the Opportunity:

We are seeking a highly skilled Bioinformatics Innovator to drive impactful, AI-driven solutions through our platform. 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:

• Develop compelling scientific presentations and scalable solutions using your understanding of biological problem statements and multi-omics data.
• Analyse multi-omics (genomics, transcriptomics, proteomics, metabolomics, etc) biological data to derive relevant insights using state-of-the-art statistical methods.
• 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.

Requirements:

• 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.

Desirable Skills:

• 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.