Data Scientist III

Spectraforce

Raleigh, NC, United States

5 days ago

Apply on jobs.localjobnetwork.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

jobs.localjobnetwork.com

Tech stack

Data Analysis Bioinformatics Computational Biology Computer Programming Databases Python (Programming Language) High Performance Computing Information Technology

Job description

As an active team member of the Computational Innovation department at our organization, 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., * 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

Requirements

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
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)