Molecular Diagnostics, Computational Biology Therapeutic Modalities Artificial Intelligence Pre-Clinical Development R (Programming Language) Ribonucleic Acid Sequencing Statistical Learning Theory Python (Programming Language) Influencing Without Authority, The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Biomarker Discovery to join an oncology data science team dedicated to advancing our company’s vast and expanding oncology pipeline, with a focus on multimodal biomarker discovery, validation, and implementation.

The successful candidate will:

• Investigate proprietary and public real-world molecular datasets and clinical trials in conjunction with tissue and periphery assays with a goal of identifying robust multimodal biomarkers of response and resistance to an array of cancer therapies across indications and lines of therapy, with line of sight to diagnostic development.
• Leverage advanced AI/ML approaches to integrate multi-modal data including RNAseq, WES, ctDNA, digital pathology, proteomics, immune activation assays, and liquid biopsies to discover biomarkers and molecularly defined groups of patients as well as molecular mechanisms of modulation of therapeutic response reflected in longitudinal analytes.
• Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including Translational Oncology, Molecular Diagnostics, Clinical Development, Statistics, Therapeutic Area Biology, and Commercial Development., Oncology Research Biopsies Innovation Algorithms Biomarkers Statistics Compassion Proteomics Data Mining Data Science Communication Data Analysis Presentations Biotechnology Cancer Biology Bioinformatics Pharmaceuticals Detail Oriented Clinical Trials Medical Records Cloud Computing Cancer Genomics Drug Development Machine Learning Telephone Skills Digital Pathology Influencing Skills Biochemical Assays Applied Mathematics Contingent Workforce Molecular Diagnostics Computational Biology Therapeutic Modalities Artificial Intelligence Pre-Clinical Development R (Programming Language) Ribonucleic Acid Sequencing Statistical Learning Theory Python (Programming Language) Influencing Without Authority +0 Associate Director, Functional Genomics, Data Science Merck & Co., Inc, 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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Research Biopsies Innovation Algorithms Biomarkers Statistics Compassion Proteomics Data Mining Data Science Communication Data Analysis Presentations Biotechnology Cancer Biology Bioinformatics Pharmaceuticals Detail Oriented Clinical Trials Medical Records Cloud Computing Cancer Genomics Drug Development Machine Learning Telephone Skills Digital Pathology Influencing Skills Biochemical Assays Applied Mathematics, * Master’s (with 12+ years) or Ph.D. (with 8+ years) in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical expertise and relevant experience in a pharma, biotech or academic setting., * Extensive experience applying computational methods in cancer biology.

• Extensive experience and demonstrated expertise with scientific cloud-based computation environments (R/Python highly preferred).
• AI/ML exposure and experience including supervised and unsupervised machine learning, foundation models, and modern coding.
• Experience with genomic datasets across cancer types and therapeutic modalities with proven expertise in drug development pipeline impact.
• Hands-on analysis experience with algorithms for large genetic, genomic, immunogenomic and clinical datasets (e.g. TCGA, GTEx, DepMap, CPTAC) as well as RWD genomic, imaging and EHR datasets.
• Experience with leading a team of highly performing computational scientists.
• 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:

• Proven experience with analysis of genomic data originating from clinical trials.
• Exposure and experience with companion diagnostic development, preferably for NGS.
• Understanding of the major concepts of cancer biology as represented in molecular data.
• Expert knowledge of methods of statistical learning and data mining and application to biological problems.
• Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.
• Record of publishing in high profile scientific journals.

EligibleforERP, Artificial Intelligence (AI), Cancer Genomics, Cancer Research, Cloud Computing, Computational Methods, Data Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis, Oncology, 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, 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

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