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# Director, Oncology Data Science

- **Company:** Merck Sharp & Dohme LLC
- **Location:** Boston, MA, United States
- **Salary:** $194,100.0 - $305,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Bioinformatics, Computational Biology, Computer Simulation, Data Mining, Data Warehousing, Machine Learning, Scientific Computating, Deep Learning, Data Analytics
- **Published:** August 9, 2026
- **Apply:** https://www.juju.com/job/00000000gm7g8g

## About the Role

+ Master's (with 10+ years) or Ph.D. (with 6+ years) in quantitative discipline such as Engineering, Applied Physics/Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component and relevant experience in pharma, biotech or academic setting.

Required Experience and Skills:

 + Experience in applying computational methods in cancer biology.

 + Demonstrated expertise in the application of methods of statistical learning and data mining to the integrative analysis of multimodal, high-dimensional tumor profiling datasets in the oncology and immuno-oncology context.

 + Hands-on analysis experience with the application of machine learning algorithms to large clinico-genomic, genetic and immunogenomic real-world and clinical trial datasets.

 + Extensive experience and demonstrated expertise to code in scientific computation environments with adoption of best practices for reproducible data analyses.

 + Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail.

 + Independent, flexible and collaborative mindset

Preferred Experience and Skills:

 + Demonstrated experience with analysis of large-scale multi-modal data originating from clinical trials and real-world datasets.

 + Deep understanding of the major concepts of cancer biology as represented in multi-modal molecular and imaging data.

 + Experience within a matrixed industry environment and ability to effectively collaborate with colleagues from a wide range of disciplines.

 + Record of publishing in high profile scientific journals, Bioinformatics, Cancer Genomics, Cancer Research, Computational Biology, Computational Methods, Data Science, Deep Learning, High Dimensional Data Analysis, Immuno-Oncology, Machine Learning (ML), Multimodal Analysis, Oncology, Real World Data, Statistical Learning

## Description

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Data Scientist to join our multi-modal biomarker discovery team. We are seeking an experienced and innovative computational scientist to perform data mining of multi-modal tumor profiling datasets and inform decisions across all stages of our company's expanding oncology pipeline.


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