GSK
Director, Computational Statistics, Human Genetics and Genomics
GSK, Collegeville, Pennsylvania, United States, 19426
Overview
Site Name: UK - Hertfordshire - Stevenage, Cambridge 300 Technology Square, Heidelberg, USA - Pennsylvania - Upper Providence
Posted Date: Oct 10 2025
Company Overview: 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 medicines and vaccines, 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, focusing our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales, profits, and earnings, with expectations for FDA product approvals and pivotal study readouts. By uniting science, technology, and talent, we are committed to getting ahead of disease together.
Job Purpose We are seeking an innovative and experienced scientist to join our Genomic Technologies team within the Human Genetics and Genomics (HGG) department at GSK. This role integrates deep and broad expertise in computational and statistical methods to enable best-in-class insight and interpretation of genetics and genomics data to guide drug discovery and development portfolio decisions across therapeutic areas. We value collaborative working and scientific evaluation to improve capabilities in Genomic Technologies and HGG, including:
Discovery of new causal gene-phenotype links by advancing methodology for analysis of large-scale biobank genetic data and GWAS/xQTL summary statistics.
Identification of causal mechanisms, candidate biomarkers, disease subtypes, and patient subgroups by analysing and integrating genetic, multi-omic, and phenotypic data from human populations and genome-scale perturbation experiments.
Predictive modelling of presence, direction, and magnitude of causal gene-phenotype links using genetic and omic data, mechanistic annotation, inferred causal networks, and genome-scale perturbation data.
We encourage applicants to describe in their cover letters how their qualifications, skills and experience would make them outstanding contributors to Genomic Technologies and HGG.
NOTE:
This career opportunity requires an on-site presence (minimum of two days a week) in one of GSK's US (PA or MA), UK (Stevenage) sites or in Germany (Heidelberg).
Key responsibilities This role will provide you the opportunity to lead key activities to progress your career. Responsibilities include:
Maintain a clear working understanding of the scientific needs of key partners in applied and translational teams across HGG, in experimental Target Discovery, in GSK disease area Research Units, and in Clinical Development.
Maintain leading-edge understanding of mature and emerging capabilities in computational statistics and in statistical/machine learning, both externally and internally (through collaboration with GSK Biostatistics, Data Automation and Predictive Sciences, and AIML departments).
Identify scientific questions within the broad area of human genetics and genomics in drug discovery and development, that will impact GSK portfolio and pipeline decision-making, and formulate these as statistical problems.
Develop suitable computational methods to address these questions, and implement robust software that scales in a cloud compute environment. Make individual scientific and technical contributions, inspire, guide, and develop team members, and plan and assess the resources necessary to achieve this.
Contribute to a culture of innovation, quality, and continuous learning and improvement within the team.
Basic Qualifications
Advanced degree (PhD or equivalent) in a relevant scientific discipline.
Substantial research experience (academic or industry) demonstrating innovative application of statistical approaches to drug discovery or development using genomic/genetic data, and experience evaluating or developing statistical/machine learning methodology.
Strong programming skills in R and/or Python; familiarity with reproducible research, FAIR data principles, and agile software development; proficiency in analyzing very large datasets using distributed or cloud computing technologies.
Strong theoretical understanding of computational statistics and machine learning with the ability to apply these principles to solve complex scientific questions.
Excellent communication, collaboration, influencing and leadership skills; demonstrated delivery of complex projects and coordination of multidisciplinary teams.
#HGG
#LI-GSK*
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, focusing on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases. We are committed to creating an environment where our people can thrive and deliver for patients, shareholders and our people.
Equal Opportunity and Accessibility 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, military service or any basis prohibited under law.
We believe in an agile working culture for all roles. If flexibility is important, discuss opportunities with the hiring team.
Adjustments: if you require any adjustments to our process to assist you, contact UKRecruitment.Adjustments@gsk.com or 0808 234 4391. The helpline is available 8.30am to 12.00 noon Monday to Friday. During bank holidays, times may vary.
Please note that for adjustments-related inquiries only; other questions use the UK Recruitment FAQ guide. This guide can be accessed by visiting the Careers section.
Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses or employment agencies for vacancies posted on this site. All agencies must contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring candidates. Without written authorization, any actions by a third party are not on behalf of GSK. GSK shall not be liable for fees arising from such actions or referrals.
For US Healthcare Professionals, GSK may be required to report expenses incurred in the interview process to comply with federal and state transparency requirements. More information is available through CMS Open Payments data.
#J-18808-Ljbffr
Posted Date: Oct 10 2025
Company Overview: 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 medicines and vaccines, 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, focusing our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales, profits, and earnings, with expectations for FDA product approvals and pivotal study readouts. By uniting science, technology, and talent, we are committed to getting ahead of disease together.
Job Purpose We are seeking an innovative and experienced scientist to join our Genomic Technologies team within the Human Genetics and Genomics (HGG) department at GSK. This role integrates deep and broad expertise in computational and statistical methods to enable best-in-class insight and interpretation of genetics and genomics data to guide drug discovery and development portfolio decisions across therapeutic areas. We value collaborative working and scientific evaluation to improve capabilities in Genomic Technologies and HGG, including:
Discovery of new causal gene-phenotype links by advancing methodology for analysis of large-scale biobank genetic data and GWAS/xQTL summary statistics.
Identification of causal mechanisms, candidate biomarkers, disease subtypes, and patient subgroups by analysing and integrating genetic, multi-omic, and phenotypic data from human populations and genome-scale perturbation experiments.
Predictive modelling of presence, direction, and magnitude of causal gene-phenotype links using genetic and omic data, mechanistic annotation, inferred causal networks, and genome-scale perturbation data.
We encourage applicants to describe in their cover letters how their qualifications, skills and experience would make them outstanding contributors to Genomic Technologies and HGG.
NOTE:
This career opportunity requires an on-site presence (minimum of two days a week) in one of GSK's US (PA or MA), UK (Stevenage) sites or in Germany (Heidelberg).
Key responsibilities This role will provide you the opportunity to lead key activities to progress your career. Responsibilities include:
Maintain a clear working understanding of the scientific needs of key partners in applied and translational teams across HGG, in experimental Target Discovery, in GSK disease area Research Units, and in Clinical Development.
Maintain leading-edge understanding of mature and emerging capabilities in computational statistics and in statistical/machine learning, both externally and internally (through collaboration with GSK Biostatistics, Data Automation and Predictive Sciences, and AIML departments).
Identify scientific questions within the broad area of human genetics and genomics in drug discovery and development, that will impact GSK portfolio and pipeline decision-making, and formulate these as statistical problems.
Develop suitable computational methods to address these questions, and implement robust software that scales in a cloud compute environment. Make individual scientific and technical contributions, inspire, guide, and develop team members, and plan and assess the resources necessary to achieve this.
Contribute to a culture of innovation, quality, and continuous learning and improvement within the team.
Basic Qualifications
Advanced degree (PhD or equivalent) in a relevant scientific discipline.
Substantial research experience (academic or industry) demonstrating innovative application of statistical approaches to drug discovery or development using genomic/genetic data, and experience evaluating or developing statistical/machine learning methodology.
Strong programming skills in R and/or Python; familiarity with reproducible research, FAIR data principles, and agile software development; proficiency in analyzing very large datasets using distributed or cloud computing technologies.
Strong theoretical understanding of computational statistics and machine learning with the ability to apply these principles to solve complex scientific questions.
Excellent communication, collaboration, influencing and leadership skills; demonstrated delivery of complex projects and coordination of multidisciplinary teams.
#HGG
#LI-GSK*
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, focusing on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases. We are committed to creating an environment where our people can thrive and deliver for patients, shareholders and our people.
Equal Opportunity and Accessibility 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, military service or any basis prohibited under law.
We believe in an agile working culture for all roles. If flexibility is important, discuss opportunities with the hiring team.
Adjustments: if you require any adjustments to our process to assist you, contact UKRecruitment.Adjustments@gsk.com or 0808 234 4391. The helpline is available 8.30am to 12.00 noon Monday to Friday. During bank holidays, times may vary.
Please note that for adjustments-related inquiries only; other questions use the UK Recruitment FAQ guide. This guide can be accessed by visiting the Careers section.
Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses or employment agencies for vacancies posted on this site. All agencies must contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring candidates. Without written authorization, any actions by a third party are not on behalf of GSK. GSK shall not be liable for fees arising from such actions or referrals.
For US Healthcare Professionals, GSK may be required to report expenses incurred in the interview process to comply with federal and state transparency requirements. More information is available through CMS Open Payments data.
#J-18808-Ljbffr