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RIDS - Bioinformatics Engineer

Eli Lilly and Company

Job 0 - 4 years Fill 66 Bengaluru (Karnataka)

Key Objectives/Deliverables:

Drive the discovery of novel disease targets, biomarkers and/or therapies by leveraging world-class informatics skills in the area of immunology Serve as Immunology Business Relationship Manager to stimulate, surface, and shape research demand on informatics capabilities, and to ensure that the potential business value from those capabilities are captured, optimized, and recognized Represent Research Information and Digital Solutions as the Business Relationship Manager of immunology research leadership

Participate as a technical/scientific lead on cross-functional research teams with members from Lilly discovery research, clinical, IT and statistics Influence and shape the informatics capabilities strategy by providing regular input to projects, specialized databases, innovative computational methods, and advances in research Drive the evaluation of external and internal informatics platforms/services/data sources with focus on capabilities, workflows and visualizations

Basic Qualifications:

M.S. in computational, information sciences or related fields with hands-on experience in one or more of the following areas: bioinformatics, cheminformatics, computational chemistry, and genomics More than two-year working experience in one or more of the following areas: bioinformatics, cheminformatics, computational chemistry, and genomics

Demonstrable experience in processing, organizing, analyzing and visualizing complex data and information from disparate sources Extensive hands-on experience in data science languages such as Python or R, and related informatics code packages and tools (e.g. Pandas, Plotly, Jupyter, R Shiny) Extensive experience working with Cloud (AWS preferred) and HPC, SQL and NoSQL databases

Additional Skills/Preferences :

Expertise in processing, analyzing and interpreting high-resolution omics data Skilled in working with both structured and unstructured data Experience in drug discovery with focus on computational methods, tools and databases Experience with Machine Learning and/or Deep Learning approaches Innovative thinking with strong problem-solving skills Experienced in data modeling, ETL.

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