Senior Scientist II, Precision Medicine Translational Research Immunology

Responsibilities

• Independently lead the design, execution, and analysis of complex genomic profiling experiments, including single-cell RNA-Seq, CITE-Seq, and spatial transcriptomics/proteomics.
• Perform image analysis tasks for spatial transcriptomics and proteomics datasets, including de-array and alignment for multi-omics integration, cell segmentation and phenotyping.
• Design, develop and implement computational pipelines for processing and analyzing spatial omics datasets, including spatial transcriptomics and proteomics.
• Proactively identify technical artifacts, interpret quality control results, optimize assay performance, and ensure high quality and reproducible data delivery on timely deadlines.
• Stay at the forefront of the single-cell and spatial genomics field by surveying, evaluating, testing and validating novel scientific methodologies.
• Present work plans and acquired data clearly and precisely to cross-functional stakeholders through formal written reports and verbal updates
• Bachelor's Degree or equivalent education and typically 12 years of experience, Master's Degree or equivalent education and typically 10 years of experience, PhD and typically 4 years of experience.
• Major or advanced degree in Immunology, cell & molecular biology, pharmacology, pathology, bioinformatics or other relevant biological sciences.
• Proven track record of leading translational medicine initiatives in autoimmune diseases, bridging the gap between early discovery and clinical application.
• Extensive experience designing and conducting single-cell and spatial omics studies to generate and validate critical biomarker hypotheses.
• Broad technical expertise in molecular and cell biology assays, specifically specializing in scRNA-seq, CITE-seq, and multi-parameter flow cytometry.
• Expertise in executing spatial omics experiments using CosMx, Xenium, and Visium platforms, integrated with deep expertise in molecular pathology techniques such as IHC and ISH
• Proficient in the integrative analysis of multi-dimensional datasets using bioinformatics tools such as R and Python.
• Skilled in using advanced image analysis platforms, such as Visiopharm and HALO, to derive quantitative biological insights from tissue-based assays.
• Familiarity with cloud-based architectures (AWS) and high-performance computing (HPC) environments for processing large-scale genomic data.
• Experience applying machine learning frameworks and sophisticated data visualization tools to interpret complex biological patterns.
• Strong project leadership and organizational skills, with a demonstrated ability to prioritize tasks and allocate resources to meet aggressive timelines.
• Experienced in managing CROs and external collaborators while working seamlessly with multi-functional internal teams in dynamic, fast-paced environments.
• Excellent presentation and people management skills, with a proven ability to communicate complex scientific data to diverse stakeholders and executive leadership.
• A robust track record of scientific writing, ensuring high-quality documentation and verbal reporting of technical findings.
• Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
• 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 long-term incentive programs.
• Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of

Benefits

Additional Information

The Precision Medicine Immunology department is seeking a highly motivated and talented Scientist with a background in immunology or immuno-oncology and experience in single-cell or spatial genomics, molecular biology, and cell biology to join the Translational Research team. This individual will provide leadership in clinical biomarker discovery by profiling clinical samples using single-cell and spatial omics approaches to better understand drug mechanism of action and pharmacodynamics, while driving data-informed patient selection strategies. The role will support drug development programs across inflammatory and autoimmune disease areas, including Dermatology, Gastroenterology, Rheumatology, and Fibrosis, from late-stage discovery through clinical trials. The successful candidate will join a growing translational research group and collaborate with cross-functional teams both internally and externally.

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