Scientist III
Ivory SystemsAbout the role
Job Title: Scientist III
100% remote, EST hours - candidates located in EST highly preferred.
Duties: As an active team member of the Computational Innovation department, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote.
Duties and 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
- 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)
- Proficiency in working with high performance computing clusters (HPC)
- Proficiency in biological pathway analysis
Education: 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)
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
Qualifications
- Programming experience with Python and R for bioinformatic data analysis in unix-like systems
- Proficiency in working with bulk and single cell NGS data
- Experience with oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis is a plus
- 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
Skills mentioned
About Ivory Systems
Ivory Systems has been a leader in consulting since 1995. Ivory's mission is to deliver results for its Global 1000 clients through the placement of best fit talent for their unique business needs. The Ivory Clinical division has partnered with many pharma and biotech companies in provisioning the brightest talent in the industry. Ivory's relentless focus on delivering results for its clients has made it one of the fastest growing companies in United States.