Job Posting: Research Scientist II
Location: Lexington, MA – Onsite (5 days/week)

Job Description: We are seeking a highly motivated and experienced Research Scientist to support our Therapeutic Areas in advancing our understanding of heart failure and related cardiovascular diseases. In this role, you will focus on integrating patient-derived molecular and phenotypic data to identify treatment-relevant disease subgroups, define novel endotypes, and provide real-world context to novel drug targets. You will leverage modern machine learning techniques to derive insights and effectively communicate these findings to non-expert stakeholders.

Key Responsibilities:

• Develop and apply advanced yet explainable AI/ML methods and statistical models to cardiovascular disease research.
• Collaborate with cross-functional teams across EVP areas to identify and validate new endotypes, biomarkers, and drug targets.
• Analyze large patient-derived molecular and phenotypic datasets to uncover patterns and trends that will inform future target discovery and development.
• Present findings in internal presentations and publish research in scientific journals with clarity and objectivity.
• Mentor junior scientists and provide guidance on computational methods and analyses, as well as identify and drive new internal and external collaborative opportunities.

Qualifications:

• Master’s degree in Bioinformatics, Computational Biology, Computer Science/Machine Learning, Genomics, or a related field (PhD candidates will be considered with a minimum of 1 year of professional experience).
• At least 3 years of professional experience in a relevant field.

Ideal Candidate:

• Proven track record of delivering cohort analyses and clear interpretation of insights derived from machine learning methods.
• Strong knowledge of machine learning algorithms and their application to biomedical data.
• Proficiency in programming languages such as Python or R, version control, and high-performance computing.
• Excellent communication and collaboration skills with the ability to present findings to non-expert stakeholders.
• Independent and motivated to drive projects forward with minimal oversight.