Senior Scientist, Bioinformatics

BeOne is seeking a highly motivated and experienced Senior Bioinformatics Scientist to join our Translational Discovery, Research, and Medicine team in San Carlos, California. This role will enhance our bioinformatics capabilities to support clinical biomarker analysis and translational research.

About the Role

This individual will play a key role in supporting clinical biomarker analysis and translational research, with a focus on oncology and immunology. The ideal candidate will have extensive technical expertise in clinical biomarker data analysis, a strong biological background, and excellent communication skills for international and cross-functional collaboration.

Responsibilities

• Serve as the lead bioinformatics scientist for internal drug discovery and development programs, providing 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 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

• Ph.D. in Bioinformatics, Computational Biology, or other related fields with at least 2 years of relevant industry experience.
• Proven expertise in clinical biomarker analysis, with a 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; experience in hematology research is a plus.
• Solid background in statistics and mathematics; experience with machine learning/AI is a plus.
• US citizenship or green card required.

Skills

• Proficient in programming and scripting with R, along with 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.
• Strategic thinker, self-motivated, and adept at working collaboratively within an international and dynamic environment.
• Quick learner, enthusiastic about taking on new challenges.
• Excellent communication, project management, and leadership skills; experience delivering within a matrix working environment.
• Proficient in English speaking and writing; fluent in Mandarin.

Benefits

• Comprehensive benefits package including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness programs.
• Eligibility to participate in the annual bonus plan (non-commercial roles) or incentive compensation plan (commercial roles).
• Opportunity to own shares of BeOne Medicines Ltd. stock through discretionary equity awards and the Employee Stock Purchase Plan.

Pay

Salary range: $108,800.00 - $148,800.00 annually. Actual compensation is determined by job-related skills, depth of experience, certifications, relevant education or training, and specific work location.

Schedule

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