Associate Scientist, Computational Biology

Watertown, MA

Kymera Therapeutics

Kymera is inventing a new generation of small molecule medicines by tackling the root cause of disease with targeted protein degradation.

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Who we are:

Kymera is a clinical-stage biotechnology company pioneering the field of targeted protein degradation (TPD) to develop medicines that address critical health problems and have the potential to dramatically improve patients’ lives. Kymera is deploying TPD to address disease targets and pathways inaccessible with conventional therapeutics. Having advanced the first degrader into the clinic for immunological diseases, Kymera is focused on building an industry-leading pipeline of oral small molecule degraders to provide a new generation of convenient, highly effective therapies for patients with these conditions. Founded in 2016, Kymera has been recognized as one of Boston’s top workplaces for the past several years. For more information about our science, pipeline and people, please visit www.kymeratx.com or follow us on X (formerly Twitter) or LinkedIn

 

How we work:

  • PIONEER: We are courageous, resilient and rigorous in our mission to improve patients’ lives through our revolutionary degrader medicines.
  • COLLABORATE: We value trust + transparency from everyone. Our goals are shared, our decisions data-driven and our camaraderie genuine.
  • BELONG: We recognize our differences, inviting curiosity and inclusivity, so that our people are valued, seen, and heard.

 

How you’ll contribute:

Serve as a member of the Computational Biology team, responsible for utilizing expertise to develop and analyze data to provide useful results and models in support of the team. Using collaboration with colleagues at Kymera, the Associate Scientist, Computational Biology will rapidly advance multiple drug candidates to the clinic – promising new therapies designed to treat serious disease. The Associate Scientist, Computational Biology will have the following duties:

  • Support the development of data analysis workflows and their automation for discovery and targeted proteomics datasets.
  • Process and analyze raw data generated by in house proteomics experiments using computational pipelines and generate visualizations to represent the data, such as shiny or plotly.
  • Work with scientists in the proteomics team to implement new workflows across platforms/projects.
  • Build and maintain databases for large proteomics datasets.
  • Generate visualizations and automated reports for standard analyses as well as interactive data visualization applications.
  • Conduct analyses and generate reports of standard proteomics experiment types and communicate the results to the team.

 

Skills and experience you’ll bring:

Must have Master’s degree in Bioinformatics, Computational Biology, Biotechnology, or closely related field and 1 year of biotechnology experience. The experience must include any amount of experience with the following: (1) Supporting process automation using pipeline development; (2) Using web browser-based interactive data visualization applications, such as R shiny or plotly; (3) Using script-based data visualization packages such as ggplot and matplotlib; (4) Performing data analysis using R, Python and/or other languages; (5) Conducting analysis and interpreting data in disease biology, including cancer biology.

Must also have the ability to develop database-backed web applications as demonstrated through coursework or employment.

 

Employer Contact: Matthew Watson, Director, Total Rewards, 500 North Beacon Street, 4th Floor, Watertown, MA 02472, mwatson@kymeratx.com.                                                                                                                                                                  

 

Kymera Therapeutics is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment.  All applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, pregnancy, sex, marital status, gender expression or identity, genetic information, sexual orientation, citizenship, or any other legally protected class.

 

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Tags: Bioinformatics Biology Data analysis Data visualization Matplotlib Pipelines Plotly Python R

Perks/benefits: Transparency

Region: North America
Country: United States

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