Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world-renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
POSITION SUMMARY
The Targeted Protein Degradation (TPD) proteomics core at Dana-Farber Cancer Institute is a research core focused on the development and application of state-of-the-art mass spectrometry-based discovery pipelines for targeted protein degradation and molecular glues. The TPD proteomics core is closely affiliated with the Fischer lab and the chemical biology program and serves Dana-Farber researchers and discovery partnerships.
The Bioinformatics engineer works closely with the proteomics group to apply computational algorithms to integrate and analyze proteomics data with other large scale biological profiling data sources. This position involves the development of an integrated data framework, data visualization tools and an interactive web-based user interface for efficiently navigating large amounts of cellular proteomics profiles under various perturbations including chemical perturbation to unveil insights regarding biomolecular interactions.
Responsibilities Designs and develops software, databases and interfaces for analyzing and manipulating biological data. Draws upon knowledge of biology to improve data mining and management techniques.Collaborates with laboratory researchers to develop high throughput data processing and analysis capability.Adds new software that has been internally developed or imported from outside sources to in-house systems. Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data.Provides direct technical and scientific customer support and helps guide, implement and maintain further improvements to bioinformatics software. Works with the entire life science team to diagnose and fix issues with software. Qualifications Bachelors degree required, MS preferred or PhD in bioinformatics, computer science and/or the life sciences and 0-2 years relevant experience. Performs primary duties as above as directed and requires close to moderate supervision. Solid understanding of database management, server-client program development, and web visualization technologies. Strong skills in SQL on a database such as Snowflake, SQL Server, Oracle, etc.Proficiency with Python, R, Scala, JavaScript or another modern programming language used in data engineeringStrong skills in setting up and maintaining relational databases.Understanding of small molecule protein interactions in biological systemsKNOWLEDGE, SKILLS, AND ABILITIES REQUIRED
Demonstrated experience developing documented ETL pipelinesKnowledge of professional software engineering practices, including coding standards, code reviews, source control management, build processes, and testingAble to deploy data pipelines and infrastructure for on-premise and/or cloud-native infrastructureStrong organizational skills with the ability to prioritize and manage various tasks and projects reliably and in a timely manner Excellent interpersonal skills, passionate about innovative solutionsSelf-motivated with the ability to produce clear documentation and generate results with a clear and professional presentationDetail-oriented with excellent communication skillsAble to identify, communicate, and advocate for best practicesCan work independently and efficiently to meet aggressive timelines where needed
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
EEOC Poster
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