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Research Associate/Senior Research Associate, Invitro Pharmacology

Enveda - Hyderabad, Telangana, India - In-office - posted 2026-10-15

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Enveda is a clinical-stage, AI-enabled biotech company discovering medicines at an accelerated pace. The company recently raised $150M in Series D funding, achieved unicorn status, and advanced its first drug candidate into Phase 2 trials. Enveda has been recognized by Forbes as one of America's Best Startup Employers and by Newsweek as a Top 100 Most Loved Workplace. The Research Associate/Senior Research Associate in In Vitro Pharmacology will be responsible for conducting cell-based and cell-free assays to support drug discovery and development efforts. Key responsibilities include: - Performing hands-on experimental work in cell culture, assay development, and compound screening using molecular biology techniques - Executing advanced pharmacology techniques such as HTRF, AlphaLISA, and flow cytometry - Conducting statistical analysis of experimental data using tools like GraphPad Prism, including ANOVA and other fundamental statistical methods - Maintaining accurate experimental records and documentation in compliance with laboratory SOPs and good documentation practices - Managing laboratory reagents, consumables, equipment, and cell stocks to ensure continuity of experimental activities - Contributing to the drug discovery workflow with scientific rigor and attention to detail - Collaborating effectively with team members and communicating findings clearly The role offers the opportunity to work on cutting-edge AI-enabled drug discovery at a high-growth biotech company with significant momentum and resources. REQUIREMENTS: - M.Sc or M.Tech in Biochemistry or Biotechnology - 1–4 years of research experience in academic or industrial R&D settings - Hands-on experience with cell-based and cell-free assays - Expertise in cell culture, assay development, compound screening, and molecular biology techniques - Strong understanding of fundamental statistical concepts (ANOVA) and proficiency with GraphPad Prism or similar data analysis tools - Experience with advanced techniques such as HTRF, AlphaLISA, or flow cytometry (preferred) - Understanding of drug discovery workflows (advantageous) - Excellent interpersonal, problem-solving, oral, and written communication skills - Strong work ethic, scientific curiosity, and proactive attitude The company encourages applications from candidates who meet most requirements and demonstrate genuine interest in the problem space, hiring for trajectory and potential alongside credentials.

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