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 scientist with proven expertise in computational biology and bioinformatics to advance our industry-leading ADC technology. This position is in the CRT (Core Research and Technologies) Computational Biology group within the Research Department, and will collaborate closely with colleagues in Research and other departments to gather relevant data and provide analytical expertise to experimentally test hypotheses around the working of our therapeutics, including mechanisms of action, sensitivity and resistance in both patient and model systems settings. The successful candidate will be expected to call on their expertise in both classical and modern statistical data science methods to address these and a wide variety of analytical and biological problems relevant to the Research mission of advancing cancer therapeutics into the clinic. This is a role that will require independent thought and excellent collaboration skills working on teams that span early research, translational sciences, and clinical development.
- Collaborate with colleagues in Research, as well as Translational Science and Clinical Development to provide analytical and domain expertise on specific project and initiative-based projects
- Collaborate with colleagues in Systems Biology within Research to support the design and analysis of experiments to systematically assess foundational hypotheses in in vitro and in vivo systems.
- Develop strong knowledge of the biology of specific ADC mechanisms of action to inform hypothesis generation and analysis decisions
- Marshall sequencing, screening and other high-dimensional datasets from public and internal sources to answer questions relevant to drug discovery and therapeutic design
- Apply specific subject matter expertise in the analysis of next-generation sequencing data across a variety of modalities, including RNA-seq, scRNA-seq, antibody sequencing, and DNA-seq.
- Champion modern data science approaches from the scientific literature and industry
- Effectively communicate results to Research teams as well as to cross-functional teams across the company
- Participate in core bioinformatics responsibilities such as sequencing data processing, data management, and data democratization efforts
- Collaborate with stakeholders in IT and other departments on the design and use of shared data and analysis platforms and infrastructure
- PhD in bioinformatics, computational biology, mathematics, statistics, computer science or related field; or an MS in same plus extra industry experience
- Familiarity with working with large datasets from: molecular biology, immunology, or cancer biology
- Strong knowledge of mathematics and classical and modern statistical methods, and proficiency implementing and applying those methods in the R environment
- Outstanding interpersonal and communication skills, including the ability to illustrate problems and convey solutions to non-specialists
- Demonstrated commitment and experience to working in a team environment
- Experience with a general scripting language such as python, perl, or bash
- Experience working with bulk and single-cell RNA-seq and other next-generation sequencing data (processing and analysis)
- Experience working with large public datasets related to the biology and treatment of cancer, such as TCGA, GTEx, and GDSC
- Proficiency with data visualization tools such as Spotfire, Tableau, R, or python
- Familiarity with standard coding best practices and source code control
- Facility navigating linux and Windows environments
- Experience working in a pharmaceutical or biotech setting
- Experience working with proteomics data
- Experience working with functional genomics and high-content screening data
- Experience supervising or leading others, project management
- Experience designing or building web-based applications for data democratization and analysis, with thoughtful attention to the user experience.
- Interest and experience in data management best practices and solutions
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 www.seagen.com.
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.