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Research Associate – In Vivo Pharmacology

Infotree Global Solutions
San Mateo, CA Contractor
POSTED ON 8/5/2025 CLOSED ON 9/3/2025

What are the responsibilities and job description for the Research Associate – In Vivo Pharmacology position at Infotree Global Solutions?

Job Summary:

We are seeking a highly motivated Senior Research Associate with hands-on experience in in vivo pharmacology, especially in murine models, to join our dynamic preclinical research team. The ideal candidate will possess a strong background in animal handling, dosing (IV, IP, PO, SC), and immuno-oncology model development, with proven expertise in PK/PD studies and IVIS imaging techniques. You will play a critical role in supporting discovery and translational research aimed at developing novel therapies for cancer and other diseases.


Key Responsibilities:

  • Perform in vivo studies including tumor implantation, dosing (IV, IP, PO, SC), blood and tissue collection, and health monitoring in mice.
  • Develop, validate, and execute preclinical oncology models, including syngeneic, xenograft, and humanized mouse models.
  • Support immuno-oncology studies by evaluating immune cell function, tumor growth inhibition, and combination therapies.
  • Utilize IVIS imaging systems to monitor tumor progression, biodistribution, and efficacy in live animal models.
  • Maintain accurate and detailed records of all experimental procedures and results in compliance with IACUC and institutional guidelines.
  • Analyze, interpret, and present data to cross-functional teams to inform program direction.
  • Participate in study design and provide technical expertise to improve study robustness and reproducibility.
  • Assist in training junior staff and collaborate across departments to support broader research goals.


Qualifications:

  • B.S. or M.S. in Biology, Pharmacology, Immunology, or a related field with 2 years of in vivo research experience.
  • Proficient in murine handling, restraint, clinical monitoring, and a full range of dosing techniques (IV, IP, PO, SC).
  • Solid understanding of immuno-oncology and experience with relevant tumor models.
  • Experience with flow cytometry or ELISA for immunological endpoints.
  • Exposure to CRISPR, RNAi, or other gene editing techniques in vivo.
  • Proficiency with software such as GraphPad Prism, Living Image, or WinNonlin.

Salary : $43 - $47

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