Job Description

Payrate: $52.00- $52.84 /hr

The Position:

We are seeking a highly motivated Senior Research Scientist to play a key role in supporting our Therapeutic Areas (TA) in their efforts to better characterise patients/diseases in a real-world context. Focussed initially on heart failure (HF), you will be responsible for (1) using patient-derived molecular and phenotypic data to identify treatment-relevant disease subgroups, (2) integrating diverse features from clinical trials and externally sourced patient cohorts to define novel endotypes and provide real-world context to our novel drug targets, and (3) utilise modern machine-learning methods to derive and communicate insights to non-expert stakeholders in a clear and meaningful way.

In this role you will:

• Develop and apply advanced but explainable AI/ML methods and statistical models to cardiovascular disease
• Collaborate with cross-functional teams across EVP areas to identify and validate new endotypes, biomarkers, and drug targets
• Analyse large patient-derived molecular and phenotypic datasets, to identify patterns and trends that can inform future target discovery and development
• Present findings with clarity and objectivity in internal presentations and publications in scientific journals
• Mentor junior scientists and provide guidance on computational methods and analyses as well as identify and drive new internal and external collaborative opportunities.
• You will have access to a diverse set of patient-derived data and have the freedom to integrate these to identify novel disease subgroups, biomarkers, and drug targets. You will play a key role in driving our TA strategies by contributing to data-driven decision making.
• We are looking for someone who thinks this sounds exciting and is motivated by keeping pace with developments in machine learning, real-world data, and cardiometabolic disease. Success is demonstrated on several levels including contributing to TA strategy, proposing new disease endotypes via application of explainable AI/ML methods, mentoring junior scientists, and driving external and academic collaborations

Pay Transparency:

The typical base pay for this role across the U.S. is: $52.00 - $52.84/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

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