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# Director, Oncology Data Science

- **Company:** CareerCircle
- **Location:** San Francisco, CA, United States
- **Salary:** $194,100.0 - $305,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Bioinformatics, Cloud Computing, Computational Biology, Computer Simulation, Image Analysis, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Infrastructure, Data Mining, Data Visualization, Data Warehousing, Linux, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Scientific Computating, Software Engineering, Transfer Learning, Deep Learning, Electronic Medical Records, Git, Information Technology, Data Analytics, Software Version Control
- **Published:** August 8, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ma/boston/47ac7dd9-757f-414c-a64d-19155cf8f56e

## About the Role

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

## Description

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

Google IT Automation with Python


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