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General Description:

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

Essential Functions of the job:

+ Serve as the lead bioinformatics scientist for 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 effective bioinformatics workflows and interactive tools to analyze high-dimensional Omics data, including bulk and single-cell transcriptomes, whole-exome sequencing (WES), and proteomes data.

+ Collaborate with the IT team to establish and maintain the bioinformatics computing and analysis infrastructure.

+ Develop and execute detailed Omics data generation and analysis plans to support and influence the internal program development; utilize proprietary and public biological and biomedical data to generate actionable insights; propose follow-up validation plans and drive cross-functional validation work.

+ Provide guidance and mentorship to bioinformatics scientists, promoting innovation and excellence.

+ Work with research scientists and the global biomarker and translational research team, adhering to scientific practices and maintaining proper documentation of activities and analyses.

+ Present analytical results clearly and concisely, using well-designed presentation materials.

Supervisory Responsibilities:

+ This position will start as an individual contributor role, with the potential to oversee bioinformatics scientists as the team expands.

Computer 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.

Education Required:

A Ph.D. in Bioinformatics, Computational Biology, or other related fields with at least 4+ years of relevant industry experience.

Other Qualifications:

+ Demonstrated expertise in clinical biomarker analysis, particularly focused on Omics biomarker data for oncology, hematology, or immunology-related drug discovery and development.

+ Distinguished track record of driving innovative drug discovery and development projects in oncology, immunology, or other disease areas.

+ Strong foundation in statistics and mathematics; experience with machine learning/AI is a plus.

+ Exceptional publication record.

+ Excellent communication, project management, and leadership skills; experience in 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 preferred.

+ Flexible working hours to support 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.