Responsibilities:
1. Independently design, plan and execute in vitro pharmacology experiments for biologics drugs, including but not limited to target validation, affinity determination, activity screening, dose - effect relationship research, and mechanism of action exploration.
2. Establish and optimize various in vitro pharmacology experimental models based on project requirements, such as cell - level functional experimental models and molecular interaction models.
3. Be responsible for the collection, collation, analysis and interpretation of experimental data. Use professional statistical methods to analyze experimental results, write detailed experimental reports, and timely report research progress to the team and superiors.
4. Track the latest progress and technical trends in the field of in vitro pharmacology research of biologics, introduce advanced experimental technologies and methods, and improve the research level and experimental efficiency of the team.
5. Participate in cross - departmental collaboration of drug R&D projects, communicate closely with related teams such as antibody discovery, protein science, and in vivo pharmacology.
Requirements:
Educational Requirement:
Master
s degree or above in biology, pharmacy, immunology or other related majors.
Work Experience:
More than 3 years of relevant work experience or fresh PhD in in vitro pharmacology research of biologics. Hands - on experience in autoimmune disease - related projects and antibody - drug conjugate (ADC) research is highly preferred.
Skills:
1. Proficiency in various in vitro pharmacology experimental techniques, such as ELISA, FACS, Western Blot, SPR, cell proliferation/apoptosis detection, reporter gene assay, etc., with experience in applying these techniques to autoimmune disease models and ADC activity evaluation.
2. Be able to independently operate relevant experimental instruments and equipment, such as flow cytometers, microplate readers, biomolecular interaction analyzers, etc., and can perform basic troubleshooting.
3. Strong experimental design ability and problem - solving ability, able to independently analyze and solve technical problems in the experimental process of autoimmune disease and ADC projects.
4. Good data analysis ability and scientific thinking, able to use statistical software for data processing and result analysis.
5. Good English reading and writing skills, able to proficiently read English professional literature and technical materials and write English experimental reports.