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General Description:

We are seeking a highly motivated and experienced Senior Bioinformatics Scientist to join our Translational Discovery, Research, and Medicine team in San Carlos, California. This individual will play a key role in enhancing our bioinformatics capabilities in the United States to support clinical biomarker analysis and translational research. The ideal candidate will have extensive technical expertise in Omics data analysis and interpretation, a strong biological background in Oncology and Immunology, and excellent communication skills to facilitate international and cross-functional collaboration.

Essential Functions of the job:

+ 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.

Supervisory Responsibilities:

+ This role is an individual contributor for now.

Computer 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.

Education Required:

A Ph.D. in Bioinformatics, Computational Biology, or other related fields with at least 2 years of relevant industry experience.

Other Qualifications:

+ Proven expertise in clinical biomarker analysis, with a particular focus on Omics biomarker data for 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 required to collaborate with Mandarin-speaking stakeholders in China and review Mandarin-language technical documentation

+ Full-time position based in the San Carlos, CA office.

+ Flexible working hours to facilitate international collaborations.

+ Must be authorized to work in the U.S. (visa sponsorship is not available for this role)

**Travel:** Under 10%.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.