Pharmacy

This is a non-supervisory position in Reference Standard Laboratory responsible for performing the required tests as part of the project and maintaining the GLP environment in the Laboratory.

Support DM Delivery Leads to maintain CDM specified systems and types of deliverables, milestone achievements, risks and mitigations and data transfer agreements, and other study administrative needs.

Will be responsible for managing Discovery, Development projects end to end. Adept at managing project milestones, budget and stakeholders. Should have excellent communication skills. Must be a good negotiator and must have hands-on knowledge in MS Project, MS Excel.

Post Graduate degree in any of the subjects viz- Biochemistry or Chemistry or Microbiology or Molecular biology or Pharmacology or Pharmacy or Toxicology or Virology or Zoology or Biotechnology or Botany or Bio-Informatics or Biostatistics with eight years Research and Development or Teaching or working experience from public sector or Government recognized institutions. 

Experience in pharmacovigilance, in clinical care, or in clinical or scientific research is an advantage but not a requirement. Demonstrated computer literacy, particularly in the use and management of relational databases.

UG and PG degrees in Pharmacy, Pharmaceutical Technology, Science, Engineering and or Management. Around 2 years of strong functional experience preferably in technology, research management, product management, business development, sales, etc. related to startups or mid-sized enterprises in the tech sector, experience in other Incubation Centres. Candidate must possess very good communication skill.

Masters or M. Tech or M. Pharm in any branches of Agricultural Sciences, Biology, Life Sciences, Pharmacy any specialization, Veterinary Sciences, Computer Sciences, Bioinformatics and Biotechnology.

Verify the accuracy of transcribed data by cross-referencing with original sources and ensure an accurate presentation of data in the report. Ensure that all transcribed data complies with internal quality standards and external regulatory requirements.

QA Specialist will serve as QA technical subject matter expert for CSV process, such as MES, KNEAT, DCS, including but not limited to GMP enterprise systems, manufacturing systems and computerized equipment, laboratory systems and computerized equipment and validation software tools.