Senior/ Principal Scientist, Bioinformatics

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BeiGene continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

Job Description

Responsibilities:
Act as the key bioinformatics scientist for internal programs to provide in-depth support for new target exploration and validation, NGS related experiment design and analysis, clinical biomarker test platform evaluation and vendor selection, omics related clinical biomarker analysis
Designing, developing and deploying robust workflows to analyze high dimensional omics data, with emphasis on single cell and bulk transcriptome, exome, proteome and CRISPR screens
Mining proprietary and public biological and biomedical data to generate novel hypotheses or insights
Internalize and manage external multi-omics data by developing Rshiny apps
Lead review and evaluation of new technology, platform and vendors
Collaborate closely and effectively as a member of global biomarker and translational research team, follow sound scientific practices, and maintain effective documentation of activities and analysis.
Presenting analysis results in a clear and concise manner with well-designed presentation materials

Qualifications：

Qualification Required:
PhD degree in bioinformatics, computational biology or related fields. For Principal scientist position, 3 years or more industry experience is required
Strong programming and scripting abilities in R, and proficient in at least one other programming language (Python, Perl, Shell scripting, Java etc.)
Comfortably working with Linux system and server/cloud computing environment
Excellent background in hands-on analyzing high-throughput biomedical data (RNASeq, scRNAseq, ExomeSeq, GenomeSeq, spatial gene expression profiling and human genetics, etc.): data cleaning, functional annotation, normalization, analysis, interpretation and visualization
Strong statistics and math background, experience with machine learning is a plus.
Familiarity with public databases: TCGA, CCLE, HPA etc.
Experience in database design, analysis pipeline and Rshiny development
Strategic, Self-motivated and enjoys teamworking within an international team and dynamic environment always with timeline in mind
Thorough understanding or proof of strong interest in tumor biology, immunology, inflammation, and drug discovery
Excellent communication skills
Fast learner and excited for new challenges