Associate Director, Data Scientist – Pathology

Job Description

The Anatomic Pathology Group at our Company's South San Francisco site is seeking a passionate and talented Associate Principal Scientist with experience in bioinformatics and statistics to solve biological problems. The successful candidate will join a dynamic digital and quantitative multi-omics department to perform quantitative and statistical analysis on large-scale datasets to support novel drug and biomarker development. 

Key Responsibilities:

• This is an individual contributor role as a subject matter expert responsible to implement data analytical tools and apply rigorous statistical methodologies to transform complex biomarker data into insights that can be readily used in drug development.

• Develop end-to-end data visualization tools and conduct spatial analyses to understand and interpret complex high-dimensional data.  Perform data mining and data wrangling on large-scale datasets derived from multi-omic data (i.e. imaging, single-cell RNAseq, genomics data, flow cytometry, spatial transcriptomics) to understand target biology, mechanisms of action, and to help identify potential clinical biomarkers.

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

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

Qualifications:

Education:

• Ph.D. degree in the field of computational biology, informatics or related field with four (4) years of relevant work experience in Statistics, Biostatistics, Data Science or Bioinformatics

Required Experiences and Skills:

• At least 4 years of professional experience in the computational analysis and biological interpretation of diverse large-scale and high-dimensional datasets

• Previous experience leading projects that integrate results from multi-omics data sources to gain biological insights and drive discovery research 

• Evidence of developing customized analytical approaches or pipeline for specific research needs through publications or patents

• Evidence of implementation of fundamental and advanced statistical techniques for non-clinical and clinical studies through publications or patents

• Strong command of Python and R for application in bioinformatics

• Exceptional oral and written communication skills

Preferred Experiences and Skills:

• Experience leading cross functional projects within the industry setting

• Familiarity with whole slide imaging (WSI) data management and image processing software such as QuPath and Definiens

• Command of machine learning platforms such as TensorFlow and PyTorch 

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

• Previous experience in the experimental design 

• 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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