Aptask Global Workforce (AGW) is seeking a Senior Scientist, Molecular Interactions for an Onsite position with a Major Pharmaceutical Company located in South San Francisco, CA. This is a 6+ month contract opportunity. This is a hands-on laboratory role focused on providing experimental and data analysis support for active biologics discovery programs. The successful candidate will work within the Molecular Interactions group to generate decision-enabling data on binding, kinetics, and developability using platforms like SPR. This position involves close collaboration with scientists in antibody discovery, protein sciences, and computational biology.
Responsibilities: - Design, execute, troubleshoot, and interpret molecular interaction studies that support hit identification, lead optimization, and candidate selection
- Generate and analyze binding affinity, kinetics, avidity, epitope binning, competition, and developability data for antibodies, bispecifics, and other biologic modalities
- Coordinate with project scientists to define assay plans, prioritize samples, and deliver results according to program timelines
- Document methods, results, and conclusions accurately in electronic systems, reports, and presentation ready summaries
- Operate interaction analysis platforms such as SPR, high throughput SPR using Carterra, BLI, flow cytometry, and related technologies
- Optimize established assay formats and workflows to improve throughput, robustness, data quality, and turnaround time
- Apply rigorous experimental design, appropriate controls, and quantitative data interpretation to address project questions
Requirements: - Master's degree or PhD (preferred) in biophysics, biochemistry, chemistry, molecular biology, protein sciences, biomedical engineering, or a related field
- Master's degree with a minimum of 5 years of hands-on experience or a PhD with a minimum of 3 years of hands-on experience
- Strong foundation in biomolecular interactions and protein characterization
- Hands-on experience with one or more interaction analysis platforms, such as SPR, Carterra, Biacore, BLI, KinExA, or related technologies
- Experience analyzing kinetic and affinity data for interactions between proteins
- Demonstrated ability to troubleshoot experiments, interpret complex data, and deliver high-quality results within defined timelines
- Excellent written and verbal communication skills, with the ability to work effectively in a collaborative, multidisciplinary environment
Desired skills: - Experience supporting therapeutic antibody, multispecific, or other biologics discovery programs in an industry setting
- Experience with epitope binning, competition assays, cell binding characterization, receptor pharmacology, or developability assessment
- Knowledge of antibody engineering, Fc biology, and relationships between protein structure and function
- Familiarity with laboratory automation, high throughput screening workflows, and data analytics
- Programming or data science experience using Python, R, Spotfire, or similar tools
- Ability to become productive quickly in a fast-paced, matrixed research environment
Pay range: up to $79.76 per hour
Only candidates available and ready to work directly as Aptask Global Workforce (AGW) employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, apply today! Aptask Global Workforce (AGW) ApTask Global Workforce (AGW) is a certified Minority and Veteran workforce solutions company. AGW delivers operational, clinical, lab and professional talent with a strong focus on healthcare and life sciences. The company supports clients with reliable staffing, program expertise and a commitment to quality, speed and consistent delivery.
Benefits of working with ApTask Global Workforce include: - Medical
- Dental
- Vision
- Sick Pay (for applicable states/municipalities)
Our team stays close to the process and is here to guide you every step of the way. To learn more, please visit our website
ApTask Global Workforce is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.
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