Senior Investigator in Translational Genetics and Phenomics

4 weeks ago

Stevenage, Hertfordshire, United Kingdom GSK Full time
About the Role

We are seeking a highly skilled and experienced Investigator in Translational Genetics and Phenomics to join our team at GSK. As a key member of our Phenomics team, you will play a crucial role in leveraging real-world data and other observational data to identify specific populations of disease or other characteristics of interest in large cohorts.

Key Responsibilities

Conduct hands-on analyses of real-world data and other observational data derived from large, diverse human cohorts linked to genetics and other -omics.
Perform a range of analyses to derive phenotypes suitable for genome-wide association studies across multiple cohorts, health systems, data sources, and analytic environments.
Design and implement custom analyses requiring advanced epidemiologic and/or statistical approaches, integrating with genetics and other -omics data to gain insights into translational and other questions arising from the Research organization.
Understand the strengths, limitations, confounders, and potential biases for any downstream genetic or other -omic analyses that leverage inputs derived from RWD or other observational data.
Collaborate with cross-functional teams to support the design and implementation of phenomics projects.
Evaluate and implement new methodologies and technologies to improve the efficiency and effectiveness of RWD / observational data analyses in biobank data.

Requirements

We are looking for professionals with the following required skills to achieve our goals:
Master's with 5+ Yrs experience or PhD in relevant scientific discipline.
Experience in using real-world data and other observational data to identify specific populations of disease or other characteristics of interest in large cohorts.
Experience in performing a range of statistical approaches supporting the analyses of different types of exposures against diverse types of outcomes.
Proficient in R programming.
Knowledge of the strengths, limitations, potential confounders and bias from the use of RWD and other observational data.
Experience of project management with a focus on data quality and delivering results.

Preferred Qualifications

If you have the following characteristics, it would be a plus:
Advanced degree (PhD or equivalent) in a relevant scientific discipline.
Hands-on experience integrating RWD with genetic or other -omic data in biobank cohorts.
Initiative to apply expertise and experience to guide the evolution of future analytical and business processes.
Excellent problem-solving and analytical skills to address complex scientific questions.
Strong collaboration and partnership skills to work effectively with cross-functional teams.
Excellent communication and presentation skills to convey findings and recommendations to stakeholders.
Evidence of strong project management skills.
Experience of genetic imputation and genetic data quality control pipelines.

About GSK

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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