Scientist 2, Clinical Cellular Biomarkers
Department Summary
The Clinical Cellular Biomarkers (C2B) group in the Operations, Diagnostics, and Technology (ODT) organization within the Translational Medicine (TM) department in gRED is seeking a highly motivated, experienced, and collaborative Scientist 2 to support clinical development efforts. As a Scientist 2, you will provide critical translational science expertise to inform clinical development, identifying insights that advance personalized healthcare, ensuring the right therapeutic reaches the right patient at the right dose. In this role, you will spearhead the design, validation, and execution of high-parameter clinical flow cytometry biomarker assays. Furthermore, you will apply your scientific knowledge in immunology and oncology to evaluate generated datasets and address key biomarker inquiries by utilizing analytical platforms, programming, and AI-enabled tools.
The Opportunity
- Independently design, optimize, and validate complex, high-parameter flow cytometry biomarker assays supporting one or more molecules and indications in the non-oncology and oncology indications.
- Oversee and manage the outsourcing of flow cytometry assays to Contract Research Organizations (CROs), ensuring high-quality assay transfer, validation, and data delivery.
- Be responsible for key analysis of the deployed assays and perform various computational analysis and visualizations to extrapolate key biological insights.
- Regularly present these findings to laboratory groups and broader study teams.
- Continuously partner and collaborate effectively with multiple cross-functional stakeholders, biomarker scientists, study teams, and external research partners to align cytometry strategies with study goals.
- In addition to supporting key molecules, support prioritized translational research projects.
Required Qualifications
- Education & Experience: 2-5 years of relevant experience with a Bachelor's degree or 0-2 years of relevant experience with a Master's degree in Immunology, Molecular Biology, Cell Biology, Genomics, Bioengineering, Bioinformatics, or a related discipline.
- Flow Cytometry Expertise: Strong hands-on laboratory experience in cell biology and flow cytometry, with a proven track record of designing, validating, and troubleshooting cytometry panels on diverse human sample types (PBMCs, BMMCs, whole blood, etc.). Experience with cytometry analysis tools is required.
- Collaborative Stakeholder Management: Excellent interpersonal skills with a proven ability to coordinate with multiple cross-functional stakeholders in a fast-paced, matrixed team environment.
- Communication & Presentation Skills: Strong written, oral, and presentation skills, with a demonstrated ability to translate complex data into digestible and actionable scientific insights.
Preferred Qualifications
- Flow Cytometry Expertise: Highly preferable to have experience designing, validating, and troubleshooting high-parameter (30+) panels. Demonstrated expertise in both spectral and conventional cytometry instrumentation, with specific hands-on experience on platforms such as the Cytek Aurora and BD Lyric.
- Advanced Analysis Software: High proficiency in advanced cytometry analysis platforms such as OMIQ is highly desirable.
- Coding & AI Utilization: Demonstrated familiarity or experience using various computational tools such as R and Python for analysis and visualizations. Quick adopter of various AI-enabled tools and coding agents such as Claude Code.
- CRO Partner Experience: Experience working with Contract Research Organization (CRO) partners is highly desirable. This includes experience with assay outsourcing, assay validation, tech transfer, and managing external data quality.
Pay
The expected salary range for this position based on California is $87,000.00 - $161,600.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.