This position will begin to incorporate responsibilities for the overall scientific and oncology projects. This position is a hands-on, bench position that requires strong hands-on in vivo oncology experience in an environment where a commitment to teamwork, quality data, and speed is essential.
Successful candidates in this position will:
• Possess strong interpersonal skills with strong scientific curiosity, initiative and resourcefulness
• Possess exceptional organizational and planning skills enabling management of multiple, concurrent tasks & priorities
• Have prior direct experience with in vivo oncology bench work
• Possess careful attention to detail and the accurate, organized and timely documentation of study data and report generation
• Assist study directors with the preparation and interpretation of oncology studies
• Be team orientated, highly collaborative and have a results-oriented focus
• Be self-driven and enthusiastic with the ability to thrive in a dynamic environment
The following are minimum requirements related to the Scientist 2, Oncology position:
Education: Bachelor’s Degree (B.S./B.A) or equivalent in a scientific related discipline.
Experience: Minimum of six years of relevant industry experience respectively in rodent efficacy models for anticancer agents. Prior experience evaluating PK/PD/efficacy of anticancer agents and a background in pharmacology or immunology.
An equivalent combination of education and experience may be accepted as a satisfactory substitute for the specific education and experience listed above.
Certification/Licensure: None.
Other: Exceptional analytical and problem solving capabilities. Excellent leadership and collaborative skills a must. Full understanding of regulatory requirements of study types assigned, as well as Testing Facility SOPs and Good Laboratory Practices (GLPs), as appropriate. Excellent written and verbal communication skills in a team environment. Able to prioritize work and meet deadlines under minimal direction. Proficiency in the use of standard software including Microsoft® Excel, Word, PowerPoint, etc. and with standard laboratory calculations. Demonstrated independence in the use of analytical instrumentation software with the ability to troubleshoot data analysis and effective experimental design.