Principal Scientist, Translational Omics

Biopharma Careers; Upper Providence (Delaware County); On-site; USD 130,000 - 170,000; Full time

Job summary

GSK in the United States is seeking a motivated computational biologist to lead analysis and integration of high‑dimensional multi‑omic data, including single cell and spatial transcriptomics, proteomics and metabolomics, to derive actionable insights for hepatology, renal, cardiovascular and metabolic diseases.

You will collaborate with cross‑functional teams to influence target and biomarker decisions, communicate findings clearly, and deliver scalable code and robust analyses in a matrix

Qualifications

• PhD or Master's with substantial multi-omic/data analysis experience.
• Experience analyzing multi-omic data types, incl. single-cell and spatial omics datasets.
• Experience using tools/frameworks for multi-omic data analysis.
• Experience programming in R and/or Python.
• Experience applying analytical/machine learning methods to large biological datasets.

Responsibilities

• Advance drug development by developing computational and statistical approaches for high-dimensional multi-omic data.
• Collaborate with cross-functional teams to influence target, biomarker and clinical study decisions.
• Communicate analysis findings and recommendations clearly to project teams.
• Demonstrate strong statistical, analytical and critical thinking in delivery of objectives.

Skills

Applied Statistics

Data Analysis

Data Engineering

Data Science

Machine Learning

Genetic Analysis

Genomic Analysis

Software Engineering

Education

PhD in Computational Biology, Bioinformatics, Computational Sciences, ML, or related field

Master's with 10+ years relevant experience

Tools

R

Python

Spatial Transcriptomics

Single-cell Analysis

Job description

Business Introduction

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Position Summary

We are seeking a motivated computational biologist to focus on analysis and integration of diverse and complex multi-omic data to deliver actionable insights that will help bring the right medicines to the right patients. Your work will have application across our pipeline, from multi-omic characterisation of disease endotypes to biomarker discovery and patient stratification, with a focus on hepatology, renal, metabolic and cardiovascular disease. You will lead and contribute to the analysis and integration of cutting edge high dimensional multi-omic data, including single cell and spatial transcriptomics, proteomics, metabolomics and lipidomics to derive insights that will impact GSK pipeline decisions.

Key Responsibilities

• 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 in Computational Biology, Bioinformatics, Computational Sciences, Machine Learning, or a related field, or a Master's degree with 10+ years of relevant experience in these disciplines.
• 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

• 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.

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.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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