Sr Scientist I, QTAS at AbbVie — South San Francisco, CA

AbbVie is seeking a highly motivated and experienced scientist to join our Quantitative, Translation & ADME Sciences (QTAS) department in South San Francisco. The ideal candidate will have a strong background in immunology or immuno-oncology, along with expertise in biomarker assay development, particularly on ligand binding assay (LBA) platforms, to support multiple modalities in the drug development pipeline. The candidate will join the QTAS LBA team and should be a detail-oriented, self-driven scientist who thrives in a fast-paced, collaborative environment and is committed to delivering high-quality results across multiple projects under tight timelines. This role is primarily laboratory-based and includes hands-on experimental work as well as advanced data analysis. The successful candidate may also serve as the QTAS biomarker representative on project teams when ready, to collaborate with cross-functional partners both internally and externally for the successful execution of translational research strategies.

Core responsibilities include:

• Performing laboratory experiments for the development, validation and implementation of biomarkers assays, using ligand binding assay platforms, including single and multiplex assays such as ELISA, MSD, SMCxPro, and Olink, etc.
• Establishing and refining pre-analytical sample processing workflows, such as ex vivo stimulation and tissue homogenization, for the measurement of drug and/or biomarkers in unconventional sample matrices.
• Performing high volume of sample testing and analyzing high-dimensional datasets using advanced analytical skills and apps.
• Communicating and collaborating effectively with internal and external stakeholders with Discovery, QTAS, Pharmacology, and Precision Medicine teams to generate data and provide translational insights.
• Master’s degree or equivalent education with typically 8 years of experience, or PhD with 0–3 years of experience. A background in immunology and cell biology is preferred, and experience in gene therapy is a plus.
• Solid understanding of fit-for-purpose assay development and validation strategies in support of biomarker development with strong experience in LBA assay development; experience with flow cytometry is a plus.
• Proficiency in data analysis and presentation using tools such as Prism and omics visualization software; experience with Python or R is preferred.
• Highly motivated and results-oriented, with excellent communication and presentation skills, and the ability to work effectively both independently and as part of a team.
• Passion for innovation, continuous learning, problem-solving, and applying new technologies to advance science.

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.