Note: The job is a remote job and is open to candidates in USA. Ivory Systems is seeking a Scientist III to join its Computational Innovation department. The role supports oncology drug discovery through in silico, data-driven approaches, multi-modal omics analysis, and collaboration with biologists to advance drug development programs.
Responsibilities
- Support Oncology drug development efforts
- Identify, learn and apply emerging technologies in data science and its applications to novel cancer therapeutics discovery and development
- Apply and develop innovative analysis approaches when standard methods are not adequate
- Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
- Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
- Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators
- Ensure FAIR data analysis with clear documentation and reproducibility
Skills
- Programming experience with Python and R for bioinformatic data analysis in unix-like systems
- Proficiency in working with bulk and single cell NGS data
- Proficiency in working with high performance computing clusters (HPC)
- Proficiency in biological pathway analysis
- PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences)
- 100% remote, EST hours - candidates located in EST highly preferred
- Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Discover, Human tumor atlas network, etc)
Benefits
- 100% remote, EST hours - candidates located in EST highly preferred.
- This opportunity can be remote.
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