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Principal Scientist Bioinformatics

Bothell, Washington State
Competitive pay, 401k, Medical/Dental/Vision benefits
Closing date
Jul 30, 2022
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Job Details

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! 


We are seeking a highly motivated Principal Bioinformatics Scientist to join the Biomarkers and Bioinformatics group at Seagen to contribute to the development of innovative drug candidates for treating cancer. This group is within the Translational Sciences department and as a member, you will be part of a skilled group leading the mechanistic understanding of novel therapeutics and patient selection strategies using clinical study data from active and historical drug trials. A successful candidate will have demonstrated technical proficiency with data science and data engineering methods and possess the scientific creativity and curiosity necessary to engage meaningfully with the biology underlying our drug development efforts. This is a role that will encourage independent thought while collaborating across multiple functions on teams that span from clinical development to early research. This position has the option of being based in our Seattle or South San Francisco offices as well as working remotely. 
Principal Responsibilities: 

This position will involve cross-functional teamwork to provide analysis for ongoing clinical trials while also using our historical data as well as public datasets to accelerate future drug development at Seagen. 

  • Collaborate with biomarker scientists to analyze clinical and biomarker data to support clinical development decision making  Utilize classical statistical approaches as well as data science-based methods to help us better predict patient populations most likely to benefit from novel drug therapies  Effectively communicate analysis results to Translational Sciences teams as well as broader Research and Clinical teams  Develop strong knowledge of the basic biology of the intended target of drug candidates and contribute significantly to biomarker expertise within the organization Lead project efforts to bring in data science approaches from the scientific literature and industry to drive innovation at Seagen  External communication with industry scientists and/or regulators through conference presentations, publications, working groups, investigator meetings, and regulatory interactions   Streamline and automate data processing for biomarker analyses where appropriate 

Required Qualifications: 

  • PhD in bioinformatics, mathematics, engineering, computer science, or a biomedical discipline, and 5+ years of post-graduate experience  Solid knowledge of relevant mathematics and statistical methods for the purposes of data analysis within the R environment  Demonstration of strong leadership and influencing skills with cross-functional teams  Specific understanding of concepts and methods surrounding multiple comparisons problems, power analysis, survival analysis and basic Bayesian statistics  Familiarity with standard coding best practices and source code control  Excellent listening, time management, organizational and interpersonal skills   Demonstrated ability to work in a team environment   Direct experience with 1 or more of the following fields/techniques: molecular biology, immunology, cancer biology, next-generation sequencing, flow cytometry, or image analysis 

Preferred Qualifications: 

  • PhD in bioinformatics, mathematics, engineering, computer science, or a biomedical discipline, and 7+ years of post-graduate experience  Proficiency in R library/package development  Experience with scientific computing and general software development with Python.  Prior experience with clinical trial data and familiarity with general clinical trial design principles  Prior leadership or project management experience  Experience with cloud computing environments As the leading employer in our industry in the Pacific Northwest, Seagen is proud to offer a competitive total compensation package as well as a comprehensive benefits program designed to support the whole lives of our employees and their families. Benefits include medical, vision and dental coverage, group and supplemental life insurance, 401(k) with company match, tuition reimbursement, relocation assistance and much more. To learn more about Seagen, please visit  

Seagen is an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, age, gender identity, sexual orientation, color, religion, sex, marital status, national origin, protected veteran status, disability status, or any other status protected by federal, state, or local law.  

To prevent the spread of COVID-19, and as an integral part of its public health and safety measures, Seagen requires that all newly-hired employees be fully vaccinated against COVID-19 before commencing employment, subject to reasonable accommodation and other requirements of applicable federal, state, and local law. 


Seagen is a global biotechnology company that develops and commercializes transformative cancer therapies. We’re driven by a singular mission—to make a difference for people impacted by cancer.

As an industry leader in antibody–drug conjugate (ADC) technology, we pioneered the science of harnessing antibodies designed to deliver cell-killing agents to cancer cells. Three of our four approved medicines are built on this technology.

We also focus our research efforts on novel targeted small molecule therapies. In addition, we are leveraging our expertise in empowered antibodies to build a portfolio of proprietary immuno-oncology agents.

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