Note: The job is a remote job and is open to candidates in USA. Boehringer Ingelheim is seeking a Scientist III to support oncology drug discovery research through computational and data-driven approaches. The role involves analyzing multi-modal omics data, developing bioinformatics methods, generating biological insights, and communicating findings to cross-functional scientific teams.
Responsibilities
- Support oncology drug discovery and development initiatives through computational and bioinformatics approaches
- Collaborate with biologists, researchers, and cross-functional teams to solve complex scientific problems
- Generate actionable biological insights that advance therapeutic discovery programs
- Analyze and integrate multi-modal omics datasets using advanced statistical and computational techniques
- Identify, acquire, process, and analyze both publicly available and internally generated biological datasets
- Develop and implement innovative analytical methods when conventional approaches are insufficient
- Apply emerging data science technologies and methodologies to support therapeutic research and development
- Stay current with scientific literature and emerging trends in computational biology, bioinformatics, and oncology research
- Interpret, summarize, and present analytical findings to scientific stakeholders and collaborators
- Communicate complex data-driven insights clearly and effectively to both technical and non-technical audiences
- Ensure data analyses adhere to FAIR principles (Findable, Accessible, Interoperable, and Reusable)
- Maintain comprehensive documentation, reproducible workflows, and high standards of scientific integrity and ethics
Skills
- • Ph.D. from an accredited institution in a relevant scientific discipline, including but not limited to:
- • Computational Biology
- • Bioinformatics
- • Genomics
- • Biostatistics
- • Computer Science
- • Computational Science
- • Biological Sciences
- • Related quantitative or life science fields
- • Strong programming experience in:
- • Python
- • R
- • Experience performing bioinformatics analyses within Unix/Linux environments
- • Hands-on experience with:
- • Bulk Next-Generation Sequencing (NGS) data
- • Single-cell sequencing data analysis
- • Proficiency working with High-Performance Computing (HPC) environments and clusters
- • Experience conducting biological pathway analysis and interpretation
- • Experience in one or more of the following areas is highly desirable:
- • Oncology or immunology research
- • Spatial transcriptomics
- • DNA methylation analysis
- • Liquid biopsy data analysis
- • Multi-omics data integration
- • Public oncology and genomics databases, including:
- • TCGA (The Cancer Genome Atlas)
- • GTEx
- • Human Cell Atlas
- • CZ CELLxGene Discover
- • Human Tumor Atlas Network (HTAN)
- • Similar large-scale biomedical datasets
Benefits
- Remote work arrangement
Company Overview
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