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.

The successful candidate will:

• Enable reverse translation from large multi-modal clinical datasets to inform biomarker discovery and combination strategies in molecularly defined patient populations with high unmet medical need.
• Analyze, summarize and visualize the findings from large multi-modal clinico-genomic datasets which include bulk RNAseq, WES/WGS, imaging, epigenetic profiling, single-cell RNAseq, and proteomics data from oncology clinical trials and real-world datasets.
• Leverage advanced deep learning and AI methods and multivariate predictive modeling to discover novel biomarkers predictive of clinical outcomes.
• Effectively collaborate with AIML teams working on development of foundation models trained on large cohorts of human data.
• Present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including early discovery, translational and clinical development teams., Transfer Learning Edge Intelligence Biopharmaceuticals Data Visualization Workflow Management Amazon Web Services Data Infrastructure Experimental Design Functional Genomics Software Engineering Software Development Contingent Workforce Computational Biology Artificial Intelligence Statistical Programming Relationship Management Research And Development R (Programming Language) Applied Machine Learning Ribonucleic Acid Sequencing Git (Version Control System) Python (Programming Language) Statistical Hypothesis Testing Directed Acyclic Graph (Directed Graphs) +0

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Data Warehousing Influencing Skills Predictive Modeling Contingent Workforce Scientific Computing Computational Biology Artificial Intelligence Pre-Clinical Development Machine Learning Algorithms Ribonucleic Acid Sequencing Statistical Learning Theory Influencing Without Authority, * 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., * 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

EligibleforERP, 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, Linux

Triage Tooling Biology Research Genetics Genomics Pipelines Mentorship Innovation Immunology Statistics Compassion Proteomics Mathematics Scalability Phenotyping Data Science Communication Biostatistics Data Modeling Deep Learning Cell Cultures Prioritization Drug Discovery Bioinformatics Image Analysis Version Control Cloud Computing Small Molecules Disease Biology Computer Science Algorithm Design Machine Learning Telephone Skills Data Engineering, Data Warehousing Influencing Skills Predictive Modeling Contingent Workforce Scientific Computing Computational Biology Artificial Intelligence Pre-Clinical Development Machine Learning Algorithms Ribonucleic Acid Sequencing Statistical Learning Theory Influencing Without Authority +0 Associate Director, Functional Genomics, Data Science Merck & Co., Inc

Cambridge, MA*On-Site

Linux Triage Tooling Biology Research Genetics Genomics Pipelines Mentorship Innovation Immunology Statistics Compassion Proteomics Mathematics Scalability Phenotyping Data Science Communication Biostatistics Data Modeling Deep Learning Cell Cultures Prioritization Drug Discovery Bioinformatics Image Analysis Version Control Cloud Computing Small Molecules Disease Biology Computer Science Algorithm Design Machine Learning Telephone Skills Data Engineering

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

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The salary range for this role is $194,100.00 - $305,600.00

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails., Merck & Co., Inc

Boston, MA*On-Site

Oncology Research Innovation Biomarkers Compassion Proteomics Mathematics Data Mining Epigenetics Data Science Communication Presentations Biotechnology Deep Learning Cancer Biology Bioinformatics Pharmaceuticals Clinical Trials Real World Data Applied Physics Cancer Genomics Machine Learning