GSK
Computational Biologist/Principal Scientist, Applied & Translational Omics (m/f/
GSK, Boston, Massachusetts, us, 02298
Computational Biologist/Principal Scientist, Applied & Translational Omics (m/f/d)
Join GSK as a Computational Biologist/Principal Scientist, Applied & Translational Omics (m/f/d) to focus on evaluation and application of novel methods for the analysis and integration of spatial and single cell data to impact the GSK pipeline. Site Name:
Heidelberg - Office, Cambridge MA, Stevenage, Upper Providence Posted Date:
Oct 3 2025 Responsibilities: Impact the GSK drug development pipeline through development, evaluation and application of innovative computational and statistical approaches to the analysis and interpretation of spatial and single cell data. Contribute to the evaluation and development of best practice methods for spatial and single cell omics and to the upskilling of others. Work within cross-functional project teams with GSK scientists and external collaborators, with an emphasis on respiratory, immunology, neurodegeneration or metabolic disease. Effectively communicate analysis findings, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytic and critical thinking skills. Qualifications, knowledge, skills and experience: Extensive experience in the analysis of single-cell and spatial omics datasets, with proven ability to derive and apply novel insights from these and other emerging genomic technologies. Familiarity with, and ability to critically evaluate, the development of cutting-edge tools and frameworks for single-cell and spatial data integration, visualization, and interpretation. Strong proficiency in at least one of R and/or Python, with a track record of writing reproducible and scalable code. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Data science skills to collect, integrate, mine, analyse and interpret complex diverse biological data and translate them into testable hypotheses. Ability to understand key scientific questions and identify and develop innovative computational solutions to answer them and impact the drug discovery pipeline. Demonstrated experience in effectively communicating complex scientific concepts to diverse audiences. Demonstrated ability to work effectively multidisciplinary teams. PhD or equivalent experience in a relevant scientific discipline (e.g. computational biology, biomedical/biological sciences, biomedical statistics, computational sciences, bioinformatics or machine learning) with a history of impactful scientific publications and/or presentations. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
#J-18808-Ljbffr
Join GSK as a Computational Biologist/Principal Scientist, Applied & Translational Omics (m/f/d) to focus on evaluation and application of novel methods for the analysis and integration of spatial and single cell data to impact the GSK pipeline. Site Name:
Heidelberg - Office, Cambridge MA, Stevenage, Upper Providence Posted Date:
Oct 3 2025 Responsibilities: Impact the GSK drug development pipeline through development, evaluation and application of innovative computational and statistical approaches to the analysis and interpretation of spatial and single cell data. Contribute to the evaluation and development of best practice methods for spatial and single cell omics and to the upskilling of others. Work within cross-functional project teams with GSK scientists and external collaborators, with an emphasis on respiratory, immunology, neurodegeneration or metabolic disease. Effectively communicate analysis findings, with expert interpretation, to project teams. Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytic and critical thinking skills. Qualifications, knowledge, skills and experience: Extensive experience in the analysis of single-cell and spatial omics datasets, with proven ability to derive and apply novel insights from these and other emerging genomic technologies. Familiarity with, and ability to critically evaluate, the development of cutting-edge tools and frameworks for single-cell and spatial data integration, visualization, and interpretation. Strong proficiency in at least one of R and/or Python, with a track record of writing reproducible and scalable code. Proven expertise in statistical modelling, hypothesis testing, and data-driven inference. Data science skills to collect, integrate, mine, analyse and interpret complex diverse biological data and translate them into testable hypotheses. Ability to understand key scientific questions and identify and develop innovative computational solutions to answer them and impact the drug discovery pipeline. Demonstrated experience in effectively communicating complex scientific concepts to diverse audiences. Demonstrated ability to work effectively multidisciplinary teams. PhD or equivalent experience in a relevant scientific discipline (e.g. computational biology, biomedical/biological sciences, biomedical statistics, computational sciences, bioinformatics or machine learning) with a history of impactful scientific publications and/or presentations. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
#J-18808-Ljbffr