Scientist - In Vivo Pharmacology

Role Summary

Scientist - In Vivo Pharmacology. Based in Thousand Oaks, CA, you will generate and communicate pharmacology data to support the progression of oncology and immunotherapy research programs. You will design, conduct, analyze, and report in vivo and in vitro studies; perform rodent dosing and clinical health assessments; execute cellular assays to help interpret in vivo observations; and ensure compliance with SOPs, business practices, and company policies. You will participate in cross-departmental teams to advance programs and communicate findings clearly.

Responsibilities

• Designing, conducting, analyzing, and reporting in vivo and in vitro studies.
• In vivo work will include rodent handling and procedures such as dosing (PO, SC, IP, IV), clinical health assessments and biologic sample collection.
• In vitro work includes a range of cellular assays including multiparametric flow cytometry and molecular biology techniques to help interpret in vivo observations.
• Operation and maintenance of laboratory equipment, accurate and timely record-keeping, and data analysis.
• Active participation and presentation at cross-departmental teams and meetings.
• The successful candidate will also be responsible for review and compliance with all applicable SOPs, business practices and company policies.

Qualifications

• Required: Doctorate degree or Master’s degree with 2+ years of In Vivo Pharmacology experience or Bachelor’s degree with 4+ years of In Vivo Pharmacology experience.
• Preferred: PhD in related field and advanced and proficient understanding and use of technical principles, theories, and concepts.
• Preferred: Proficient in handling, manipulating and performing procedures with laboratory rodents.
• Preferred: Experience with rodent dosing via multiple routes (PO, SC, IP, IV).
• Preferred: Proven expertise in the analysis and interpretation of scientific data.
• Preferred: Highly motivated, collaborative and with excellent attention to detail.
• Preferred: Positive approach working in highly dynamic, team-based research environment.
• Preferred: Familiarity with oncology disease models.
• Preferred: Experience with multiparametric flow cytometry.
• Preferred: Good written and verbal communication skills.
• Preferred: Demonstrated technical aptitude and a strong work ethic.
• Preferred: Organizational and notebook/record keeping skills.
• Preferred: Computer literacy, e.g., GraphPad Prism, Excel, PowerPoint and Word.