Senior Scientist, Bioinformatics

About the role

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. We are seeking a highly motivated and experienced Senior Bioinformatics Scientist to join our Translational Discovery, Research, and Medicine team in San Carlos, California.

Responsibilities

• Serve as the lead bioinformatics scientist of the internal drug discovery and development programs, providing comprehensive support for new target exploration and validation, Omics-related experiment design and analysis, clinical biomarker testing platform and vendor selection, and clinical biomarker analysis with interpretation.
• Design, develop, and deploy robust bioinformatics workflows and interactive tools to analyze high-dimensional Omics data, with an emphasis on bulk and single-cell transcriptomes, whole-exome sequencing (WES), and proteomes data.
• Collaborate with the IT team to build and maintain the bioinformatics computing and analysis infrastructure.
• Mine proprietary and public biological and biomedical data to generate novel hypotheses or insights, and propose the follow-up validation plans.
• Work closely with research scientists and the global biomarker and translational research team, adhering to sound scientific practices and maintaining effective documentation of activities and analyses.
• Present analytical results in a clear and concise manner, utilizing well-designed presentation materials.

Requirements

• Extensive technical expertise in clinical biomarker data analysis and interpretation.
• A strong biological background in Oncology and Immunology.
• Excellent communication skills to facilitate international and cross-functional collaboration.

Qualifications

• Proven expertise in clinical biomarker analysis, with a particular focus on Omics biomarker data for hematology, oncology and immunology-related drug discovery and development.
• Comprehensive understanding or demonstrated strong interest in drug discovery and development, oncology, immunology, or other disease areas.
• Experiences in hematology research and projects is a plus.
• Solid background in statistics and mathematics; experience with machine learning/AI is a plus.
• Strategic thinker, self-motivated, and adept at working collaboratively within an international and dynamic environment, consistently mindful of timelines.
• Quick learner, enthusiastic about taking on new challenges.
• Excellent communication, project management, and leadership skills; Experience of delivering within a matrix working environment.
• Proficient in English speaking and writing; fluent in Mandarin.

Skills

• Proficient in programming and scripting with R, along with the expertise in at least one other programming language (e.g., Python, Perl, Java).
• Skilled in working with Linux systems and server/cloud computing environments.
• Extensive experience in analyzing high-throughput biomedical data (e.g., RNASeq, scRNAseq, WES, spatial gene expression profiling, or human genetics): including data cleaning, functional annotation, normalization, interpretation, and visualization.
• Familiarity with tools for reproducible research such as Git, Conda, Snakemake, or Nextflow.

Benefits

Full-time position based in the San Carlos, CA office preferred
Flexible working hours to facilitate international collaborations.
Travel Under 10%.

Pay

$108,800.00 - $148,800.00 annually