Scientific Manager I

Excelra is looking for a highly skilled and motivated biologist / bioinformatician with expertise in disease biology especially in the therapeutic area of rare diseases, oncology / immuno-oncology. Knowledge of open-source databases and experience in in-silico target assessment, prioritization and validation of target, drug repurposing and indication expansion, target-disease interaction, disease pathophysiology, understanding mechanism of action of the drug based on the available scientific literature and hypothesis generation is desirable. Knowledge of target protein families and their therapeutic implications in a therapeutic area would be an advantage.

• Understanding disease pathogenesis and implication of targets in the disease pathology.
• Collecting and reviewing data from data bases, literature mining, making associations between target, drug and disease.
• Understanding mechanism of action of drug, hypothesis building, indication expansion.
• Data Asset Creation (curation), including ontology tagging and annotating omics datasets with accurate, standardized information (e.g., sample descriptions, experimental conditions).
• Standardizing data formats, implementing rigorous quality control measures to ensure data accuracy, completeness, and compliance with industry standards.
• Compilation of data, preparation of slide-deck and presentations to client and client communication.
• Understanding the client requirements and proactively providing meaningful insights.
• Work closely with cross-functional teams, including data scientists, bioinformaticians, and research scientists, to understand data needs, project goals, and harmonization requirements.
• Contribute to the preparation of relevant marketing collateral as needed.
• Thinking innovatively and contributing towards idea generation for new initiatives.
• Doctoral degree with 3+ years of postdoctoral experience in oncology, immune-oncology, CNS, Cardio Vascular System, fibrosis, rare diseases or related life-science field.
• Post-doctoral experience from a reputed national/international institution would be beneficial.
• Candidates with experience in therapeutic areas such as rare diseases, Oncology/Immuno-oncology demonstrated with research publications will be given preference.
• Knowledge on Drug regulatory authorities, Clinical trial knowledge and overview of Drug Discovery Lifecycle
• Familiarity to bioinformatics tools and opensource databases is ideal.
• Quick-learner, Self-motivated, Strong attention to detail, and Proactive.
• Ability to work in an in a fast-paced, highly productive and collaborative environment
• Proficiency in understanding and interpreting large datasets from open-access repositories and academic research, as well as related literature.
• Excellent communication skills with the ability to convey the messages effectively to stakeholders and customers.
• Strong team player with a proactive approach to sharing knowledge and learning from others.
• Basic computational skills like PowerPoint, Word and Excel