Associate Scientist III
100 Research Drive Worcester, MA 01604 US
Job Description
*Depending on experience
The Biomarker team of Quantitative Translational ADME Science (QTAS) is seeking a creative, experienced, and highly motivated scientist (contract) to develop bioanalytical biomarker methods and analyze preclinical/clinical samples to support the discovery and development of novel therapies in multiple therapeutic areas. The ideal candidate should have hands-on experience in a variety of technologies, including but not limited to ligand binding assays, quantitative PCR, pre-analytics (sample processing steps), etc.
Responsibilities
• Develop, validate, transfer, and troubleshoot robust ligand binding biomarker assays on multiple analytical platforms across a variety of sample matrices with supervision.
• Conduct and document appropriately compliant biomarker sample testing to support non-clinical and clinical studies.
• Develop effective partnerships with discovery, preclinical safety, clinical pharmacology, and project team representatives in a culture of collaboration and innovation to deliver data of high impact timely.
• Evaluate novel, pipeline-enabling, assay technologies to expand capabilities and enhance efficiency.
• Maintain laboratory notebooks in compliance with company policies.
Qualifications
• A minimum of 3 years of experience for people who have a Bachelor’s Degree in Molecular Biology, Biochemistry, or other related fields, or 0-1 year of experience for people who have a Master’s degree in related fields.
• Working knowledge of LBA (ELISA, MSD, etc.) biomarker bioanalytical assay development, validation, and sample testing workflows to comply with current regulatory standards and best industry practices.
• Working knowledge in Molecular Biology, especially in DNA/RNA purification and quantitative PCR (qPCR)
• Excellent communication skills, and proven ability to work effectively as a member of a multidisciplinary team.
• Demonstrated capacity to work in a fast-paced environment with meticulous attention to detail, and an ability to handle multiple projects, prioritize work, and meet deadlines.
• Working knowledge of Watson LIMS system is a plus.
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