Senior Specialist, Translational Immunology Data Science

Job Description

The Data, AI, and Genome Sciences (DAGS) department at our company is seeking a highly motivated and skilled data scientist to join our Translational Immunology Analytics team based in San Diego, CA. This individual will play a crucial role in analyzing and interpreting complex multi-omics datasets in immune-mediated diseases generated using various high-throughput platforms. The ideal candidate will possess a deep understanding of computational biology, statistical methods, AI/ML, and bioinformatics pipelines, with a proven track record of independently developing and applying advanced computational approaches to extract meaningful biological insights from integrated multi-omics data in immunologic diseases. This is an exciting opportunity to contribute to groundbreaking research and drive discoveries in complex immune-mediated diseases to inform novel target identification, elucidate mechanisms of target of interests, and support indication expansion strategies.

In this exciting role, you will:

• Develop, implement, and optimize computational pipelines for the processing, and analysis of a wide variety of patient-derived and preclinical multi-omics data to advance our company's Immunology portfolio (e.g., bulk RNAseq, single cell RNAseq, spatial Tx, imaging and HT proteomics).

• Apply advanced statistical inference and AI/ML methods for identification and prioritization of novel therapeutic targets and pharmacodynamic biomarkers in immune-mediated diseases.

• Design and execute computational studies to elucidate molecular mechanisms of drug action (MoA), disease pathogenesis, and therapeutic response, leveraging multi-modal data in immunology.

• Either develop novel computational tools and algorithms or adopt cutting-edge and scalable computational biology and data science approaches to integrate muti-resolution (bulk, single cell, spatial) transcriptomic and epigenomic profiling data derived from patient tissues and preclinical models to decode disease biology across immunological diseases.

• Identify and establish advanced AI/ML approaches to leverage single-cell multi-omics data to decode cell-type specific molecular networks with the goal of novel target and biomarker discovery in immunological diseases.

• Collaborate closely with experimental biologists to understand biological questions, design analysis strategies, and interpret results in the context of drug discovery and development in immunology.

• Effectively communicate complex computational findings to both computational and experimental colleagues through clear visualizations, reports, and presentations.

• Contribute to the preparation of manuscripts, presentations, and intellectual property filings.

• Maintain meticulous documentation of codes, pipelines, and analyses.

Qualifications:

Education:

• Ph.D. in Computational Biology, Bioinformatics, Biostatistics, Computer Science or a related field and a minimum of 2 years of postdoctoral or industry research experience in data science or bioinformatics in immunology and/or immuno-oncology

Required Experience and Skills:

• Deep understanding of complex immunological disorders with knowledge of the latest research and trends in the field.

• Demonstrated expertise to decode immune-related disease biology by leveraging advanced AI/ML and/or statistical inference frameworks to analyze multi-modal (transcriptomic, epigenomic) and multi-scale (bulk, single-cell and/or spatial) patient-derived data.

• Strong data visualization skills with experience using relevant software packages (e.g., ggplot2, matplotlib, Seurat/Scanpy visualization tools).

• Excellent problem-solving, critical thinking, and analytical skills.

• Strong written and oral communication skills, with the ability to clearly explain complex technical concepts to diverse audiences.

• Ability to work independently and collaboratively within a multidisciplinary team.

Preferred Experience and Skills:

• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and high-performance computing environments.

• Demonstrable strong computational background with extensive experience in programming languages such as Python and R. Proficiency in other languages (e.g., C++, Java).

• Knowledge of specific biological domains relevant to immune-mediated diseases with an emphasis on molecular mechanisms and therapeutic strategies.

• Experience in network analysis, graph theory, and applying systems biology approaches for analyzing biological interactions and pathways.

• Experience in developing and deploy