Senior Scientist

Key Skills

Bioinformatics, Computational Algorithms, Computer Graphics, Data science techniques, Python Programming

Job Description

Position at Seagen

Seagen is a global, multi-product biotechnology company dedicated to developing and commercializing transformative cancer medicines. As the industry leader in antibody-drug conjugate (ADC) technology, we pioneered a new generation in the science of harnessing antibodies to deliver cell-killing agents directly to cancer cells. Seagen’s dedication to improving the lives of cancer patients goes beyond science, and we believe that every employee has a role in contributing to this mission. By working together with a shared dedication and diverse perspectives, we are able to reach our full potential and make a real difference in the world. Seagen is a fast-growing company and has an abundance of opportunities available for you to grow your career. Put your passion to work at Seagen and join us!

Summary:

We are seeking a highly motivated Senior Scientist to join the Bioinformatics team in the Clinical Biomarkers and Diagnostics group within Translational Sciences at Seagen. Our group seeks to understand the mechanism of novel therapeutics and identify patient selection strategies using diverse patient data from human clinical trials. A successful candidate should have demonstrated technical proficiency in data science and visualization and possess scientific acumen and curiosity to engage with the biology underlying our drug development efforts. This role requires independent thought and benefits from collaboration across multiple functional areas spanning from clinical development to early research. 

This position will enable analysis of biomarker and other clinical data from ongoing clinical trials as well as explore our historical trial data and public datasets to accelerate future drug development at Seagen.

This is a hybrid position based in our offices in the Seattle area or South San Francisco.

Principal Responsibilities:

• Collaborate with bioinformaticians, biomarker scientists and clinical research teams to analyze clinical and biomarker data to support clinical development decision making
• Create data visualization methods and analysis standards to facilitate internal communication and regulatory interactions
• Streamline and automate data processing for biomarker analyses where appropriate
• Utilize classical statistical approaches and data science methods to better predict patient populations most likely to benefit from novel drug therapies
• Participate in the development of machine learning models to predict drug sensitivity and resistance from NGS and other data types

Required Qualifications:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related discipline, and 2+ years of post-graduate experience
• Solid knowledge of relevant mathematics and statistics used in the analysis of biomarker data, such as tissue images, blood analytes and NGS
• Demonstrated expertise in common scripting languages, including R, and associated data science and bioinformatic libraries
• Expert proficiency in data visualization
• Familiarity with basic machine learning and feature exploration methods
• Dedication to good documentation, coding best practices and source control
• Strong problem-solving and time-management skills
• Commitment to effective communication and interpersonal skills required for working in a cross-disciplinary team environment

Preferred Qualifications:

• PhD in Bioinformatics or Computational Biology and 5+ years of post-graduate experience
• Experience in Python and cloud computing environments
• Experience with dependency management, environment control and containerization
• Knowledge of library/package development
• Familiarity with creation of interactive graphics and dashboards
• Familiarity with modern data storage paradigms, APIs and ETLs
• Experience in oncology and/or drug development preferably in industry
• Prior experience with clinical trial data and design principles