Informatics Intern

Kymera Therapeutics•Watertown, MA

2d•$22 - $28•Onsite

About The Position

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 make an impact: Assist in routine process of data cleaning, structuring, and transforming raw datasets into usable formats stored in data warehouse. Identify and rectify data inconsistencies to ensure high-quality inputs. Organize and maintain datasets to ensure accuracy, consistency, and easy accessibility. Ensure that data transfers are executed efficiently and securely. Collaborate with team members to design and build tools that streamline and automate data flows. Implement and test scripts or applications (using Python, R, etc.) to optimize routine data processes. Develop AI-driven tools to improve efficiency, scalability, and reliability of team and Research operations. Conduct tests to validate software/data integrity. Document processes, methodologies, and tool functionalities to support team knowledge sharing and future improvements. Work closely with Research scientists, and other stakeholders to understand data requirements and deliver effective solutions. Participate in team meetings and contribute innovative ideas to improve data workflows.

Requirements

Currently pursuing a degree in Informatics, Computer Science, Data Science, or a related field.
Proficiency in data wrangling techniques and tools.
Familiarity with programming languages such as Python or R.
Basic understanding of database systems (SQL and/or NoSQL) and data management principles.
Demonstrated strong analytical and problem-solving abilities.
Strong written and verbal communication skills.
Self-motivated, keen attention to detail, and eagerness to learn new technologies and tools.
Ability to be onsite in Watertown, Ma for 10 weeks in Summer 2026 (start/end dates are flexible)

Responsibilities

Assist in routine process of data cleaning, structuring, and transforming raw datasets into usable formats stored in data warehouse.
Identify and rectify data inconsistencies to ensure high-quality inputs.
Organize and maintain datasets to ensure accuracy, consistency, and easy accessibility.
Ensure that data transfers are executed efficiently and securely.
Collaborate with team members to design and build tools that streamline and automate data flows.
Implement and test scripts or applications (using Python, R, etc.) to optimize routine data processes.
Develop AI-driven tools to improve efficiency, scalability, and reliability of team and Research operations.
Conduct tests to validate software/data integrity.
Document processes, methodologies, and tool functionalities to support team knowledge sharing and future improvements.
Work closely with Research scientists, and other stakeholders to understand data requirements and deliver effective solutions.
Participate in team meetings and contribute innovative ideas to improve data workflows.