Excelra Knowledge Solutions (formerly GVK Informatics) is a leading Informatics Solutions company that leverages its extensive scientific knowledge base, technology and relevant domain expertise to provide intelligent data and analytics solutions to customers globally. Excelra's expertise span across Data Solutions, Data Indexing & Abstraction and Data Analytics. The company has over nine successful Drug Repurposing collaborations with leading pharmaceutical companies and has developed a proprietary Drug Repurposing Platform and Computational Biology capabilities.
Post: Lead Scientist
Job Responsibilities
You are responsible for research data analysis in both prospective and retrospective manner to generate the novel drug therapeutic utility hypothesis using number of different tools such as meta-analysis, pathway analysis and structural similarity analysis.
Experience
2-4 years of post PhD in-silico/in-vitro/in-vivo drug discovery experience is a must.
Skills Essentials
- 2-4 years of post PhD in-silico/in-vitro/in-vivo drug discovery experience is a must.
- Other experience include but not limited to generate hypothesis about mechanism of action of the drug based on the available scientific information; well versed with target protein families and its therapeutic involvement.
- Familiarity and/or experience with bioinformatics tools, techniques and database about drug, target and disease is required
- Programming skills in Perl, UNIX and working knowledge of RDBMS is a plus.
- Candidate should have good analytical skills and out of the box thinking to process the drug discovery records
Candidate Profile Qualification
PhD in Pharmacology, Bioinformatics, Molecular Biology, Computational Biology, Cell Biology or related discipline
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