Informatics Analyst III, Development Sciences

Genentech

  • San Francisco, CA
  • Permanent
  • Full-time
  • 3 months ago
We are seeking a talented and motivated data scientist to join the Development Sciences Informatics team. Development Sciences (Dev Sci) is a translational science organization that plays a critical role in Genentech Research and Early Development as well as late stage development of our products at Roche. Dev Sci supports drug discovery and development projects across all therapeutic areas from discovery to launch and beyond. We are poised at a unique time when large volumes of complex and varied internal and external data for Dev Sci areas such as Biomarker, PK/PD, Diagnostics, Safety Assessment and Bio-analytical need to be readily accessible to ensure that swift interpretation and decision making can occur. These data impact decisions in ongoing preclinical and clinical programs, and provide key knowledge to inform new target discovery. DevSci Informatics is accountable for leading the strategy and execution around data lifecycle management, data standards, analytics infrastructure, ongoing data operations and informatics systems.

Major Responsibilities:

The Informatics Analyst will analyze the large quantity of diverse scientific data that Development Sciences generates in alignment with scientific objectives in Development Sciences.
  • Work with scientific stakeholders to access, process, visualize, and analyze large volumes of diverse data.
  • Design and develop robust algorithms and techniques using machine learning, text analytics, Natural Language Processing (NLP), image processing, and Computer Vision.
  • Conduct ad hoc analysis to support development sciences business needs.
  • Develop data analysis solutions and communicate results/recommendations to scientists.
  • Collaborate with data management teams to ensure the right data is collected in the optimal format.
  • Work with scientists, research associates and clinical scientists, statisticians and database specialists across the company.
  • Contribute to best practices on application of advanced analytical techniques.
  • Maintain expertise and knowledge of technology trend and informatics landscape in our industry.
  • Assess and identify new opportunities to further business objectives
Competencies and Qualifications:
  • Self-motivated and passionate about working on innovative technologies.
  • More than 10 years’ experience with real-world problem solving using text mining and NLP, or image processing and machine learning.
  • Expert experience in Machine Learning, including deep learning and statistical models.
  • Expert of a scripting language (e.g., Perl or Python), and a statistical programming environment (e.g., R or SAS) is a must.
  • Excellent people and written/verbal communication skills.
  • Able to work in teams and collaborate with others to solve challenging business problems.
  • Prior image and biomarker data analysis, bioinformatics, and publication experience is a huge plus.
  • Familiarity with LIMS systems, relational databases, data visualization tools (e.g., Tableau, and Spotfire), are desired.
  • MS/Ph.D in Data Science, Bioinformatics, Computer Science, Statistics, or related disciplines.
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Genentech