Lead the design and analysis of translational studies that drive drug development in immunology and inflammation.
Compensation
The expected base pay range for this position is $170,000 – $225,000 plus bonus, equity, and comprehensive benefits.
Responsibilities
Lead and contribute to translational research by performing genomics and biomarker data analysis that support both translational and clinical programs in immunology and inflammation disease areas.
Integrate and analyze public and proprietary genomic datasets to identify novel drug targets, nominate combinations or multi-specific antibody targets, and explore indication expansion opportunities for existing therapeutics.
Provide strategic guidance on diagnostic device development by leveraging genomic and biomarker insights to predict treatment response and stratify patient populations using network, pathway, and multi-omics analyses.
Collaborate with internal teams (Immunology, AI) and external partners (academic and industry) to generate functional data and develop systems biology and machine learning approaches that accelerate drug discovery and development.
Communicate analytical strategies and scientific findings to cross-functional teams including biology, clinical, and leadership teams to guide research and development decisions.
Requirements
PhD in Genomics, Computational Biology/Bioinformatics, Computer Science, Data Science or a related field
Nice to have: background in inflammatory or autoimmune diseases
Nice to have: translational research
Nice to have: biomarker data analysis
Nice to have: treatment outcome prediction for clinical trials
A postdoctoral fellow will join the Oncology Bioscience group to study the mechanistically novel discovery that a first-in-class kinase target regulates tumor growth through innate immune engagement in multiple myeloma models.
Compensation
Compensation for this role, based on years of experience after obtaining PhD, is a minimum of $99,900 up to a maximum of $120,000 + short-term incentive.
Responsibilities
Lead in vivo studies in syngeneic and xenograft mouse models to establish and characterize the non-cancer cell autonomous function of a first-in-class kinase inhibitor in multiple myeloma
Dissect the mechanistic contribution of individual innate immune cell types through CRISPR-based models, immune cell depletion, and reconstitution experiments
Apply advanced immunophenotyping and transcriptomic platforms, including CyTOF, single-cell RNA-seq, and CITE-seq, to define pathway modulation across innate immune compartments
Evaluate rational combination strategies with T-cell engagers and CAR-T therapies in relevant preclinical models
Drive a clear publication plan, including a first-author review in Year 1 and a first-author research manuscripts over the three-year term
Requirements
Ph.D. in Immunology, Hematology, Cancer Biology, Molecular or Cell Biology, or a related field
Lead mechanistically novel preclinical studies in multiple myeloma to advance translational oncology research.
Compensation
Compensation for this role, based on years of experience after obtaining PhD, is a minimum of $99,900 up to a maximum of $120,000 + short-term incentive. Some relocation supplements depend on distance and location at the employer's discretion.
Responsibilities
Lead in vivo studies in syngeneic and xenograft mouse models to establish and characterize the non-cancer cell autonomous function of a first-in-class kinase inhibitor in multiple myeloma
Dissect the mechanistic contribution of individual innate immune cell types through CRISPR-based models, immune cell depletion, and reconstitution experiments
Apply advanced immunophenotyping and transcriptomic platforms, including CyTOF, single-cell RNA-seq, and CITE-seq, to define pathway modulation across innate immune compartments
Evaluate rational combination strategies with T-cell engagers and CAR-T therapies in relevant preclinical models
Drive a clear publication plan, including a first-author review in Year 1 and first-author research manuscripts over the three-year term
Requirements
Ph.D. in Immunology, Hematology, Cancer Biology, Molecular or Cell Biology, or a related field
Nice to have: xenograft mouse models (SCID, NSG)
Nice to have: immune cell depletion or reconstitution approaches
