Eikon Therapeutics

About the Company

Eikon Therapeutics is a late-stage clinical biopharmaceutical company advancing a pipeline of potential therapies for patients with unmet medical needs. We are passionate about novel therapeutics and share the belief that a better understanding of fundamental human disease biology can lead to better medicines. We are driven to go beyond incremental improvements. Instead, our goal is to introduce new therapies into clinical practice that will improve and extend life. Our clinical programs in oncology leverage immune response modulation and synthetic lethality to improve cancer therapy, while our discovery efforts are focused on identifying novel targets through application of single-molecule imaging to the study of cancer and neurological diseases. By applying machine learning algorithms to the very large imaging data sets that emerge from our imaging platforms, we can advance our programs towards our ultimate goal of discovering and developing better medicines.

Eikon is seeking intellectually curious, passionate, and creative team members that are eager to apply their talents to empower interdisciplinary scientific exploration and ultimately create and develop novel medicines. To learn more about open positions, please visit: https://www.eikontx.com/join-us/#open-positions

Listed Jobs

Company Name

Eikon Therapeutics

Job Title

Intern, Software Engineering (Computational Modeling)

Job Description

Job Title: Intern, Software Engineering (Computational Modeling) Role Summary: A 10‑week summer internship focused on developing and applying Bayesian statistical methods and machine learning models to characterize single‑molecule photophysical systems. The intern will design, implement, and test computational workflows in Python to support research‑driven software tools and advanced modeling of protein dynamics. Expectations: - Complete full‑time, 40‑hour workweeks for a minimum of 10 weeks during the summer. - Work independently while collaborating with interdisciplinary scientists and engineers. - Present findings and document methodologies clearly and professionally. Key Responsibilities: - Develop and evaluate Bayesian inference algorithms and variational Bayesian approaches. - Implement, train, and test machine‑learning models for photophysical dynamics. - Perform statistical derivations supporting advanced single‑molecule motion models. - Build and maintain research‑focused Python software tools and computational pipelines. - Analyze simulation results, interpret modeling outcomes, and contribute to scientific publications or presentations. - Document code, methodologies, and experimental findings; maintain reproducible workflows. Required Skills: - Proficient programming in Python; experience with scientific libraries (NumPy, SciPy, pandas). - Fundamental understanding of statistics and Bayesian inference. - Familiarity with machine‑learning concepts or data‑science techniques. - Strong analytical, problem‑solving, and quantitative reasoning abilities. - Excellent written and verbal communication for documenting technical work. - Ability to work collaboratively and manage independent research tasks. Required Education & Certifications: - Current enrollment in an accredited university; pursuing a Bachelor’s or graduate‑level degree in Computer Science, Physics, Applied Mathematics, Statistics, Engineering, Computational Biology, or a related quantitative field. - Entering senior year of a bachelor’s program or beginning a graduate program at the start of the internship. - Must remain enrolled during the internship period.

Millbrae, United states

On site

Fresher

26-02-2026

Company Name

Eikon Therapeutics

Job Title

Intern, Software Engineering (Machine Learning)

Job Description

**Job Title:** Intern, Software Engineering (Machine Learning) **Role Summary:** A 10‑week summer internship focused on developing and evaluating machine‑learning models for image processing and computer‑vision tasks. Interns will design experiments, build models, and create prototype tools to enhance scientific discovery pipelines. **Expectations:** - Complete a research‑focused project on image‑based ML. - Deliver working code, evaluation metrics, and documentation. - Present findings to cross‑functional teams. - Work full‑time (40 hrs/week) during the internship period. **Key Responsibilities:** - Lead or substantially contribute to projects in image processing and ML. - Design, implement, and evaluate ML approaches for internal tools. - Develop and test interpretability techniques. - Prepare, clean, and analyze image and structured datasets. - Execute experiments to assess model performance and pipeline efficiency. - Collaborate with engineers and scientists to prototype solutions. - Document methods, results, and research insights. - Present project outcomes to stakeholders. **Required Skills:** - Strong programming in Python; experience with PyTorch or TensorFlow. - Knowledge of machine‑learning fundamentals, statistics, and computer‑vision concepts. - Data analysis, experimental design, and model evaluation proficiency. - Ability to interpret quantitative metrics and visualize results. - Excellent communication and teamwork skills. **Required Education & Certifications:** - Currently enrolled in a Bachelor’s or graduate program in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Electrical Engineering, or a related quantitative discipline. - Entering senior year of a bachelor’s program or enrolled in a graduate program at internship start. - Must be enrolled in school throughout the internship.

Millbrae, United states

On site

Fresher

26-02-2026