[Remote] Senior Principal Scientist, Portfolio In silico Evidence Lead, Computational Biology

Note: The job is a remote job and is open to candidates in USA. Boehringer Ingelheim is seeking a highly motivated and accomplished Senior Principal Scientist to drive in silico evidence generation and advance novel therapeutic candidates. This role will leverage advanced computational approaches to elucidate mechanisms of action and facilitate late-stage project transitions in relevant patient segments. Responsibilities • In Silico Evidence Generation: Drive the generation of robust in silico evidence packages to support the progression of NTCs through critical development milestones • Bioinformatics Project Leadership: Lead and execute bioinformatics projects to deliver innovative NTC MoA insights, with a particular emphasis on dermatological applications • Advanced Computational Approaches: Leverage single and spatial omics technologies, machine learning/AI techniques, biological knowledge, and deep disease understanding to build compelling in silico evidence packages • Clinical Biomarker & Safety/Toxicity Contribution: Contribute to clinical biomarker discovery efforts and/or data-driven safety and toxicity assessments • Cross-Functional Collaboration: Work closely with colleagues in I&R, as well as in vitro and in vivo biologists, to integrate computational findings with experimental data • Omics-Based Approach Development: Develop and implement novel omics-based computational approaches to address key challenges in drug development • Drug Development Contribution: Apply computational expertise to various stages of the drug development pipeline, from target identification to late-stage clinical development Skills • Ph.D. in Bioinformatics, Computational Biology, Immunology, Molecular Biology, or a related discipline with 7 or more years of relevant post-doctoral and/or industry experience in drug discovery and development, with at least three (3) years of experience in drug discovery • Demonstrated expertise in understanding complex disease mechanisms, particularly within immunology, dermatology, and/or rheumatology • Expertise in bioinformatics, including the analysis of large-scale biological datasets (e.g., single-cell RNA-seq, spatial transcriptomics, genomics, proteomics) • Proficiency in machine learning and artificial intelligence techniques for biological data analysis • Strong understanding of immunology and disease mechanisms, particularly in the context of dermatology and rheumatology • Experience collaborating with experimental biologists (in vitro and in vivo) to design experiments and interpret results • Demonstrated ability to translate complex computational findings into clear and actionable insights for drug development teams • Excellent communication, interpersonal, and presentation skills • Proven ability to work independently and as part of a highly collaborative, multidisciplinary team • Provides expert-level scientific and bioinformatics expertise within the area(s) of biology and human disease addressed by the TA • Knowledge of current key datasets, therapeutic landscape and demographic/epidemiological considerations within TA is required • Experience with clinical biomarker discovery or data-driven safety & toxicity assessment • Familiarity with regulatory requirements and guidelines in drug development • Prior experience in dermatology and rheumatology research Benefits • Role specific variable or performance-based bonus and or other compensation elements Company Overview • Boehringer Ingelheim is a group of pharmaceutical companies that focuses on prescription medicines and animal health. It is a sub-organization of Boehringer Ingelheim. It was founded in 1885, and is headquartered in Ingelheim Am Rhein, Rheinland-Pfalz, DEU, with a workforce of 10001+ employees. Its website is Apply tot his job