Associate Director, Translational Science

Role Overview

The Associate Director of Translational Science will bridge the gap between early-stage discovery research and clinical development. This role requires a unique blend of deep immunological expertise and advanced computational proficiency. You will be responsible for designing and executing translational strategies, identifying biomarkers, and leveraging large-scale multi-omic datasets to provide actionable insights into mechanism of action (MoA), patient stratification, and drug resistance in both autoimmune and oncology disease areas.

Key Responsibilities

• Translational Strategy: Lead the development and execution of program-specific translational plans from lead optimization through Phase II clinical trials.
• Data Integration & Analysis: Oversee the analysis of high-dimensional datasets (e.g., scRNA-seq, CITE-seq, flow cytometry, and spatial transcriptomics) to identify pharmacodynamic markers and predictive signatures, to interpret and provide insight into the biological mechanisms.
• Clinical Collaboration: Partner with Clinical Development and Clinical Operations to implement biomarker assays in clinical protocols and ensure high-quality data collection.
• External Partnerships: Manage relationships with Contract Research Organizations (CROs) and academic collaborators for specialized assay development and advanced data processing.
• Cross-Functional Leadership: Represent Translational Science on program teams, providing expert input on disease biology, target engagement, and competitive landscape.
• Scientific Communication: Author high-quality technical reports, regulatory documents (IND/IB/NDA), and contribute to peer-reviewed publications and conference presentations.

Requirements

• PhD or MD/PhD in Immunology, Bioinformatics, Computational Biology, or a related field.
• 5+ years of experience in the biopharmaceutical industry or an equivalent academic leadership role within translational research.
• Extensive knowledge of human auto-immune disease and oncology diseases, specifically in areas such as immuno-oncology, autoimmune diseases, or cell therapy (CAR-T/TCR-T).
• Demonstrated experience with genomic data analysis. Practical and hands-on experience in data analysis pipeline, ability to guide data integration, knowledge integration from multiple datasets is essential.
• Proven track record in the development, validation, and clinical implementation of complex biomarkers.
• Experience working with relevant disease areas, deep understanding of the biological mechanisms related to diseases (auto-immune, oncology, or/both).
• Strong understanding of regulatory requirements for biomarker-driven clinical trials.
• Excellent project management skills with the ability to lead multiple programs in a fast-paced environment.
• High scientific curiosity, driven, motivated in deep understanding of the biology behind both disease and therapies.