Principal Scientist, Translational Omics

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• Impact the GSK drug development pipeline through development and application of innovative computational and statistical approaches to the analysis, integration and interpretation of spatial, single cell and other cutting edge high dimensional multi-omic data.

• Work within cross-functional project teams with GSK scientists and external collaborators, with a focus on impacting target, biomarker and clinical study decisions across hepatology, renal, cardiovascular disease.

• Effectively communicate analysis findings and recommendations, with expert interpretation, to project teams.

• Work with focus and agility to deliver against objectives, demonstrating strong statistical, analytical and critical thinking skills.

Why You?

Basic Qualification

We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• PhD or master's degree with 10+ years' experience in computational biology, bioinformatics, computational sciences or machine learning.

• Experience analyzing multi-omic data types, including single-cell and spatial omics datasets.

• Experience using tools and frameworks for multi omic data analysis

• Experience programming in R and/or Python.

• Experience applying analytical, statistical, and/or machine learning methods to large-scale biological datasets.

Preferred Qualification

If you have the following characteristics, it would be a plus:

• Ability to derive and apply novel insights.

• Ability to critically evaluate cutting-edge tools and frameworks.

• Track record of writing reproducible and scalable code.

• Strong interpersonal and communication skills.

• Ability to thrive in a matrix environment.

• Demonstrated scientific capability as evidenced by publications, research reports, and external presentations.

• Demonstrated delivery of high quality and state-of-the-art computational biology solutions and analyses in support of drug discovery projects.

• Demonstrated experience in the analysis of multi-omic data linked to clinical phenotypes or measures for disease endotyping, biomarker discovery, mechanism and efficacy analysis and/or patient stratification.

• Demonstrated experience in the analysis of multi-omic data from clinical studies and working in a regulatory environment.

• Expertise in statistical approaches to the identification and assessment of predictive and prognostic biomarkers.

• Experience in application of agentic tooling for computational delivery.

#GSK-LI

Skills

Applied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering

Germany Salary Range / Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria. Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.