Senior Scientist, Data Science

Job Description

The Anatomic Pathology Group at our company's South San Francisco site is seeking a passionate and talented Data Scientist with experience in programming, data science, and statistics to solve biological problems. The successful candidate will join a dynamic digital and quantitative pathology team to perform quantitative and statistical analysis on large-scale imaging datasets to support novel drug and biomarker development.

Key Responsibilities:

• Implement innovative data analytical tools and statistical methodologies to transform complex biomarker data into insights that can be readily used in drug development

• Perform data mining and data wrangling on large-scale datasets derived from image analysis to understand target biology, mechanisms of action, and to help identify potential clinical biomarkers

• Integrate high-throughput assays, including genomics, transcriptomics, and proteomics imaging datasets

• Develop end-to-end data visualization tools and conduct spatial analyses to understand and interpret complex high-dimensional data

• Collaborate proactively across disciplines, engaging with pathologists, machine learning scientists, molecular biologists, protein scientists, bioinformaticians, and software engineers

Qualifications:

Education:

• A Master's (with 5 years) or Ph.D. in Statistics, Biostatistics, Computer Science/Data Science or related disciplines and relevant experience listed below

Required Experiences and Skills:

• Extensive experience in the computational analysis and biological interpretation of diverse large-scale protein profiling datasets generated from high-dimensional imaging analysis

• Skilled in integrating results from multiple omics data sources and biological knowledge bases to customize analytical approaches for discovery research

• Proficient in applying and implementing both fundamental and advanced statistical techniques for non-clinical and clinical studies

• Strong programming skills with applications in imaging (e.g., Python, MATLAB) and statistical analysis (e.g., R)

• Exhibits a strong capacity for learning, maintaining a proactive and motivated approach, and consistently focusing on detail and execution

• Exceptional oral and written communication skills

Preferred Experiences and Skills:

• Knowledge and experience in computational analysis for image-based histological or tissue-based assay readouts

• Previous experience in the experimental design of biological assays, statistical hypothesis testing, and biological interpretation

• Experience in version control environments such as Git

• Proficient in working with high-performance Linux clusters and cloud computing environments

#EligibleforERP 

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