Summer Internship: Machine Learning/Deep Learning, Global Digital Health Intern (Hybrid - San Carlos, CA)
BeOne Medicines
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San Carlos, CA
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Not Applicable
Posted April 4, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Translate scientific questions into a concrete modeling problem, including hypothesis, target variable, evaluation criteria, and success metrics.
- Audit, curate, and structure relevant datasets, which may include structured, unstructured, or multimodal biomedical data.
- Design, train, benchmark, and refine machine learning/deep learning models using modern methods appropriate to clinical and scientific problems, such as gradient boosting, deep neural networks, representation learning, transfer learning, or foundation-model-based approaches.
- Deliver clean code, experiment documentation, and a final technical readout with recommendations for next steps beyond the internship.
Commitments
Internship program dates: June 8 - August 21, 2026
Location: Remote/San Carlos, CA
Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship.
Please note that we are unable to provide any travel or relocation assistance.
Duration: Summer internship, full-time, 11 weeks, with the possibility of extension into an off-cycle internship based on performance, business needs, and candidate availability.
About The Role
Work authorization
Candidates must be legally authorized to work in the United States for the duration of the internship.
Travel
Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship.
Please note that we are unable to provide any travel or relocation assistance.
Pay Rates
All employment is decided on the basis of qualifications, merit, and business need.
In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.
Not Met Priorities
What still needs stronger evidence
Requirements
- Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
- Strong foundation in machine learning and deep learning; and strong programming skills in Python.
- Hands-on experience with one or more modern ML/DL frameworks such as PyTorch, TensorFlow, or JAX.
- Experience designing, training, evaluating, and debugging models on real-world datasets.
- Candidates must be legally authorized to work in the United States for the duration of the internship.
Preferred Skills
- Publication experience in top-tier peer-reviewed venues or major journals/conferences in machine learning, deep learning, AI, computational biology, or related fields.
- Research experience in machine learning, deep learning, generative AI, representation learning, multimodal learning, or related areas.
- Prior work with biomedical, clinical, molecular, imaging, or other life sciences datasets.
- Strong interest in oncology, translational medicine, or applied AI in healthcare.
- Continuous Learning
- Embraces Change
- Analytical Thinking/Data Analysis
Education
- (Required) – Education Required
- (Not required) – Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
- (Not required) – Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.
Internship program dates: June 8 - August 21, 2026
Education Required
Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
General Description
Location: Remote/San Carlos, CA
Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship. Please note that we are unable to provide any travel or relocation assistance.
Duration: Summer internship, full-time, 11 weeks, with the possibility of extension into an off-cycle internship based on performance, business needs, and candidate availability.
About The Role
BeOne Medicines is seeking an exceptional MS/PhD intern in Machine Learning/Deep Learning to help define and build a high-impact modeling capability in Hematology and Oncology. This is a high-ownership internship for a candidate who wants to do meaningful technical work at the intersection of AI and disease-area strategy.
The intern will work directly with our Global Digital Health leadership and scientific leaders and partner with cross-functional stakeholders to frame important scientific or clinical questions, translate into machine learning problems, and co-lead the development of initial models or modeling frameworks. This is a greenfield opportunity to help shape how advanced AI methods can support decision-making in a clinically important area.
Essential Functions Of The Job
What you will do
Translate scientific questions into a concrete modeling problem, including hypothesis, target variable, evaluation criteria, and success metrics.
Audit, curate, and structure relevant datasets, which may include structured, unstructured, or multimodal biomedical data.
Design, train, benchmark, and refine machine learning/deep learning models using modern methods appropriate to clinical and scientific problems, such as gradient boosting, deep neural networks, representation learning, transfer learning, or foundation-model-based approaches.
Deliver clean code, experiment documentation, and a final technical readout with recommendations for next steps beyond the internship.
Required Qualifications
Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
Strong foundation in machine learning and deep learning; and strong programming skills in Python.
Hands-on experience with one or more modern ML/DL frameworks such as PyTorch, TensorFlow, or JAX.
Experience designing, training, evaluating, and debugging models on real-world datasets.
Preferred Qualifications
Publication experience in top-tier peer-reviewed venues or major journals/conferences in machine learning, deep learning, AI, computational biology, or related fields.
Research experience in machine learning, deep learning, generative AI, representation learning, multimodal learning, or related areas.
Prior work with biomedical, clinical, molecular, imaging, or other life sciences datasets.
Strong interest in oncology, translational medicine, or applied AI in healthcare.
Work authorization
Candidates must be legally authorized to work in the United States for the duration of the internship.
Travel
Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship. Please note that we are unable to provide any travel or relocation assistance.
Pay Rates
Masters: $30/hour USD
PhD: $35/hour USD
Global Competencies
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.
Fosters Teamwork
Provides and Solicits Honest and Actionable Feedback
Self-Awareness
Acts Inclusively
Demonstrates Initiative
Entrepreneurial Mindset
Continuous Learning
Embraces Change
Results-Oriented
Analytical Thinking/Data Analysis
Financial Excellence
Communicates with Clarity
Salary Range: $ - $ per hour
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.
Internship program dates: June 8 - August 21, 2026
Education Required
Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
General Description
Location: Remote/San Carlos, CA
Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship. Please note that we are unable to provide any travel or relocation assistance.
Duration: Summer internship, full-time, 11 weeks, with the possibility of extension into an off-cycle internship based on performance, business needs, and candidate availability.
About The Role
BeOne Medicines is seeking an exceptional MS/PhD intern in Machine Learning/Deep Learning to help define and build a high-impact modeling capability in Hematology and Oncology. This is a high-ownership internship for a candidate who wants to do meaningful technical work at the intersection of AI and disease-area strategy.
The intern will work directly with our Global Digital Health leadership and scientific leaders and partner with cross-functional stakeholders to frame important scientific or clinical questions, translate into machine learning problems, and co-lead the development of initial models or modeling frameworks. This is a greenfield opportunity to help shape how advanced AI methods can support decision-making in a clinically important area.
Essential Functions Of The Job
What you will do
Translate scientific questions into a concrete modeling problem, including hypothesis, target variable, evaluation criteria, and success metrics.
Audit, curate, and structure relevant datasets, which may include structured, unstructured, or multimodal biomedical data.
Design, train, benchmark, and refine machine learning/deep learning models using modern methods appropriate to clinical and scientific problems, such as gradient boosting, deep neural networks, representation learning, transfer learning, or foundation-model-based approaches.
Deliver clean code, experiment documentation, and a final technical readout with recommendations for next steps beyond the internship.
Required Qualifications
Currently enrolled in a MS/PhD program in Computer Science, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative field.
Strong foundation in machine learning and deep learning; and strong programming skills in Python.
Hands-on experience with one or more modern ML/DL frameworks such as PyTorch, TensorFlow, or JAX.
Experience designing, training, evaluating, and debugging models on real-world datasets.
Preferred Qualifications
Publication experience in top-tier peer-reviewed venues or major journals/conferences in machine learning, deep learning, AI, computational biology, or related fields.
Research experience in machine learning, deep learning, generative AI, representation learning, multimodal learning, or related areas.
Prior work with biomedical, clinical, molecular, imaging, or other life sciences datasets.
Strong interest in oncology, translational medicine, or applied AI in healthcare.
Work authorization
Candidates must be legally authorized to work in the United States for the duration of the internship.
Travel
Remote-first internship with an expectation to work from the San Carlos office on an as-needed basis, approximately 20–30% of the internship. Please note that we are unable to provide any travel or relocation assistance.
Pay Rates
Masters: $30/hour USD
PhD: $35/hour USD
Global Competencies
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.
Fosters Teamwork
Provides and Solicits Honest and Actionable Feedback
Self-Awareness
Acts Inclusively
Demonstrates Initiative
Entrepreneurial Mindset
Continuous Learning
Embraces Change
Results-Oriented
Analytical Thinking/Data Analysis
Financial Excellence
Communicates with Clarity
Salary Range: $ - $ per hour
BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.