Summer 2026 - Graduate Data Science - Pharmacometrics Programming Internship
Bristol-Myers Squibb
Summer 2026 - Graduate Data Science - Pharmacometrics Programming Internship
Job Description
Collaborate with experience employees in the Data Science group on projects applicable to: Application Development: Design and implement lightweight web applications to support data science workflows, including tools for parsing, examining, and cleaning clinical datasets. Visualization: Develop interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights to both technical and non-technical stakeholders. Workflow Optimization: Build scheduling and resource management tools to track project assignments, deadlines, and team capacity, enabling more efficient workload distribution when new projects are initiated. Integration and Automation: Incorporate automation into routine processes, such as data ingestion, validation, and reporting, to reduce manual effort and improve reproducibility across projects. Participate in the BMS Intern Program activities and presented work at greater team meetings and scientific poster sessions. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Supporting People with Disabilities Currently enrolled in either Graduate or PhD program with a graduation date later than August 2026. Proficiency in Python and JavaScript/TypeScript. Familiarity with modern front-end frameworks such as React, or Angular. Experience with backend development using tools such as FastAPI, Flask, or Node.js. Exposure to data visualization libraries or frameworks (e.g., Plotly) for building interactive dashboards. All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment. Please note that immigration or visa sponsorship is not available for this position. Understanding of version control (Git), testing practices, and reproducibility principles. Experience in understanding and working with clinical data. Strong problem-solving ability, attention to detail, and the ability to work collaboratively with a multidisciplinary team.
About the Role/Company
- The company has a Data Science group focused on projects in application development, visualization, workflow optimization, and integration and automation
- The company offers a BMS Intern Program with activities and opportunities to present work at greater team meetings and scientific poster sessions
Key Responsibilities
- Collaborate with experienced employees in the Data Science group on projects applicable to application development, visualization, workflow optimization, and integration and automation
- Design and implement lightweight web applications to support data science workflows, including tools for parsing, examining, and cleaning clinical datasets
- Develop interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights to both technical and non-technical stakeholders
- Build scheduling and resource management tools to track project assignments, deadlines, and team capacity, enabling more efficient workload distribution when new projects are initiated
- Incorporate automation into routine processes, such as data ingestion, validation, and reporting, to reduce manual effort and improve reproducibility across projects
- Participate in the BMS Intern Program activities and present work at greater team meetings and scientific poster sessions
Required Qualifications
- Currently enrolled in either Graduate or PhD program with a graduation date later than August 2026
- Proficiency in Python and JavaScript/TypeScript
- Experience with backend development using tools such as FastAPI, Flask, or Node.js
- Understanding of version control (Git), testing practices, and reproducibility principles
- Experience in understanding and working with clinical data
- All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment
Preferred Qualifications
- Familiarity with modern front-end frameworks such as React, or Angular
- Exposure to data visualization libraries or frameworks (e.g., Plotly) for building interactive dashboards
Skills Required
- Strong problem-solving ability
- Attention to detail
- Ability to work collaboratively with a multidisciplinary team
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Additional Requirements
- Immigration or visa sponsorship is not available for this position
Locations
- Cambridge Crossing MA, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
60,000 - 80,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong problem-solving abilityintermediate
- Attention to detailintermediate
- Ability to work collaboratively with a multidisciplinary teamintermediate
Required Qualifications
- Currently enrolled in either Graduate or PhD program with a graduation date later than August 2026 (experience)
- Proficiency in Python and JavaScript/TypeScript (experience)
- Experience with backend development using tools such as FastAPI, Flask, or Node.js (experience)
- Understanding of version control (Git), testing practices, and reproducibility principles (experience)
- Experience in understanding and working with clinical data (experience)
- All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment (experience)
Preferred Qualifications
- Familiarity with modern front-end frameworks such as React, or Angular (experience)
- Exposure to data visualization libraries or frameworks (e.g., Plotly) for building interactive dashboards (experience)
Responsibilities
- Collaborate with experienced employees in the Data Science group on projects applicable to application development, visualization, workflow optimization, and integration and automation
- Design and implement lightweight web applications to support data science workflows, including tools for parsing, examining, and cleaning clinical datasets
- Develop interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights to both technical and non-technical stakeholders
- Build scheduling and resource management tools to track project assignments, deadlines, and team capacity, enabling more efficient workload distribution when new projects are initiated
- Incorporate automation into routine processes, such as data ingestion, validation, and reporting, to reduce manual effort and improve reproducibility across projects
- Participate in the BMS Intern Program activities and present work at greater team meetings and scientific poster sessions
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories
Summer 2026 - Graduate Data Science - Pharmacometrics Programming Internship
Bristol-Myers Squibb
Summer 2026 - Graduate Data Science - Pharmacometrics Programming Internship
Job Description
Collaborate with experience employees in the Data Science group on projects applicable to: Application Development: Design and implement lightweight web applications to support data science workflows, including tools for parsing, examining, and cleaning clinical datasets. Visualization: Develop interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights to both technical and non-technical stakeholders. Workflow Optimization: Build scheduling and resource management tools to track project assignments, deadlines, and team capacity, enabling more efficient workload distribution when new projects are initiated. Integration and Automation: Incorporate automation into routine processes, such as data ingestion, validation, and reporting, to reduce manual effort and improve reproducibility across projects. Participate in the BMS Intern Program activities and presented work at greater team meetings and scientific poster sessions. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Supporting People with Disabilities Currently enrolled in either Graduate or PhD program with a graduation date later than August 2026. Proficiency in Python and JavaScript/TypeScript. Familiarity with modern front-end frameworks such as React, or Angular. Experience with backend development using tools such as FastAPI, Flask, or Node.js. Exposure to data visualization libraries or frameworks (e.g., Plotly) for building interactive dashboards. All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment. Please note that immigration or visa sponsorship is not available for this position. Understanding of version control (Git), testing practices, and reproducibility principles. Experience in understanding and working with clinical data. Strong problem-solving ability, attention to detail, and the ability to work collaboratively with a multidisciplinary team.
About the Role/Company
- The company has a Data Science group focused on projects in application development, visualization, workflow optimization, and integration and automation
- The company offers a BMS Intern Program with activities and opportunities to present work at greater team meetings and scientific poster sessions
Key Responsibilities
- Collaborate with experienced employees in the Data Science group on projects applicable to application development, visualization, workflow optimization, and integration and automation
- Design and implement lightweight web applications to support data science workflows, including tools for parsing, examining, and cleaning clinical datasets
- Develop interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights to both technical and non-technical stakeholders
- Build scheduling and resource management tools to track project assignments, deadlines, and team capacity, enabling more efficient workload distribution when new projects are initiated
- Incorporate automation into routine processes, such as data ingestion, validation, and reporting, to reduce manual effort and improve reproducibility across projects
- Participate in the BMS Intern Program activities and present work at greater team meetings and scientific poster sessions
Required Qualifications
- Currently enrolled in either Graduate or PhD program with a graduation date later than August 2026
- Proficiency in Python and JavaScript/TypeScript
- Experience with backend development using tools such as FastAPI, Flask, or Node.js
- Understanding of version control (Git), testing practices, and reproducibility principles
- Experience in understanding and working with clinical data
- All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment
Preferred Qualifications
- Familiarity with modern front-end frameworks such as React, or Angular
- Exposure to data visualization libraries or frameworks (e.g., Plotly) for building interactive dashboards
Skills Required
- Strong problem-solving ability
- Attention to detail
- Ability to work collaboratively with a multidisciplinary team
Benefits & Perks
- Paid national holidays and optional holidays
- Global Shutdown Days between Christmas and New Year's holiday
- Up to 120 hours of paid vacation
- Up to two (2) paid days to volunteer
- Sick time off
- Summer hours flexibility
Additional Requirements
- Immigration or visa sponsorship is not available for this position
Locations
- Cambridge Crossing MA, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
60,000 - 80,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong problem-solving abilityintermediate
- Attention to detailintermediate
- Ability to work collaboratively with a multidisciplinary teamintermediate
Required Qualifications
- Currently enrolled in either Graduate or PhD program with a graduation date later than August 2026 (experience)
- Proficiency in Python and JavaScript/TypeScript (experience)
- Experience with backend development using tools such as FastAPI, Flask, or Node.js (experience)
- Understanding of version control (Git), testing practices, and reproducibility principles (experience)
- Experience in understanding and working with clinical data (experience)
- All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment (experience)
Preferred Qualifications
- Familiarity with modern front-end frameworks such as React, or Angular (experience)
- Exposure to data visualization libraries or frameworks (e.g., Plotly) for building interactive dashboards (experience)
Responsibilities
- Collaborate with experienced employees in the Data Science group on projects applicable to application development, visualization, workflow optimization, and integration and automation
- Design and implement lightweight web applications to support data science workflows, including tools for parsing, examining, and cleaning clinical datasets
- Develop interactive visualization platforms to investigate complex datasets, identify patterns and anomalies, and communicate insights to both technical and non-technical stakeholders
- Build scheduling and resource management tools to track project assignments, deadlines, and team capacity, enabling more efficient workload distribution when new projects are initiated
- Incorporate automation into routine processes, such as data ingestion, validation, and reporting, to reduce manual effort and improve reproducibility across projects
- Participate in the BMS Intern Program activities and present work at greater team meetings and scientific poster sessions
Benefits
- general: Paid national holidays and optional holidays
- general: Global Shutdown Days between Christmas and New Year's holiday
- general: Up to 120 hours of paid vacation
- general: Up to two (2) paid days to volunteer
- general: Sick time off
- general: Summer hours flexibility
Tags & Categories