Company Overview:
Our Client is dedicated to precision medicine in oncology, operating in the clinical stage, focuses on uncovering and advancing targeted therapeutics for specific patient groups identified through DNA sequencing and other molecular diagnostic methods. Our strategy combines robust expertise in pinpointing and confirming translational biomarkers with the exploration of small molecule drug discovery, aiming to identify patient cohorts poised to derive maximum benefit from our therapeutic endeavors.
Position Overview:
This individual will work on several attributes of our drug and target discovery pipeline including biomarker discovery in late-stage programs, as well as target ID and mechanism of action research for early-stage programs. The role will have a heavy focus on computational analysis of internal and public external multi-omics and CRISPR screening datasets to test and help understand the mechanisms of action of drugs in their pipeline
Responsibilities:
- Lead the design, development, and implementation of computational algorithms and models to analyze multi-omics data sets (genomic, transcriptomic, proteomic) related to cancer.
- Collaborate with cross-functional teams including biologists, clinicians, and bioinformaticians to interpret data and generate actionable insights.
- Apply machine learning and statistical techniques to uncover patterns and biomarkers associated with cancer progression, drug response, and resistance.
- Contribute to the identification and validation of potential drug targets through integrative analysis of omics data and literature mining.
- Stay abreast of the latest advancements in computational biology, oncology, and bioinformatics to drive innovation within the company.
- Expertise in analyzing large-scale genomic and proteomic datasets using programming languages such as Python, R, or MATLAB.
Pay is 75-85 an hour.
Benefits are includied.
