Bioinformatics Scientist - Remote

Bioinformatics Scientist

Can be Hybrid or Remote

Position Overview:

Provide bioinformatics support on one or more project team(s) in translational science, and early/late phase cancer clinical trials, accountable for all biomarker data analysis aspects of project(s).

Major Duties and Responsibilities:

The candidate will work on innovative oncology projects that combine human genetics, functional genomics, and statistical learning to uncover Client genetic and biological causes of safety endpoint and association with clinical outcome. In this role, the bioinformatics scientist provides technical support in terms of developing biomarker analysis plans and strategies, data analysis, output generation and interpretation of analysis results from early/late phase oncology clinical trials and external collaborations projects.

Perform data analysis activities i ncluding cleaning, handling, integration, and analysis of biomarker data generated in clinical trials, including whole exome sequencing, RNA sequencing, proteomics, and other data types to identify biomarkers correlated with clinical and safety endpoints.

Perform data analysis activities integrating internal and external multi-scale data generated from cell lines, model organisms, and human subjects, including genetic, genomic data, functional data, phenotypic data, and real-world data (RWD) to inform Client targets, combination strategies, or Client cancer indications for oncology assets that are currently under development.

Perform analysis of current clinical oncology development landscape in pharmaceutical industry including drugs targets, genetic alterations of targets, drug development stages and status, and relevant oncogenic pathways, to inform future oncology R&D strategies

Provide appropriate visualization and interpretation of results in preclinical and clinical data to support decision making on drug development projects.

Contribute to clinical biomarker study design to generate statistically meaningful information.

Prepare and track documentation including analysis plans, result reports, and progress reports.

Generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality, and soundness of analysis methodologies.

Preferred Education/Experience:

Ph.D. in Biomedical Sciences, cancer molecular biology, Bioinformatics, Computational Biology, Biostatistics, or closely related field. 2-3 years of post-graduate experience in hands-on cancer genomic data analysis.

Strong programming skills and in-depth experience with several programming languages e.g., R and Python.

Experience in large-scale data analysis, preferably genomic or next-generation sequencing (NGS), required

Experience in biomarker and clinical outcome association analysis

Extensive scientific understanding of cancer genetics and genomics

Strong personal skills, and excellent organization and verbal and written communication skills

Ability to work effectively both independently and collaboratively in a fast-paced and evolving field

Excellent communication, presentations and writing skills