Resume and JobRESUME AND JOB
Bristol-Myers Squibb logo

Summer 2026 - Research Engineering Internship

Bristol-Myers Squibb

Software and Technology Jobs

Summer 2026 - Research Engineering Internship

full-timePosted: Oct 15, 2025

Job Description

The Summer intern will focus on applying generative AI, large language models (LLMs), and agentic frameworks to solve practical problems in translational research and drug development at BMS. Potential projects involve building intelligent tools and systems that enhance data accessibility, streamline exploratory analysis, and facilitate integration and quality across core R&D datasets. The intern's work will have direct impact on improving research efficiency, data-driven discovery, and automation in our organization. Project assignments will be tailored to align with the intern's background and interests, ensuring a meaningful impact on areas where their strengths are best applied. 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. Rising Junior and above undergraduate or M.S. or Ph.D. graduate student in Bioinformatics, Computer Science or related field, no work experience required. Fluency with Linux-based high-performance computing environments, including python, Linux shell scripting, R, ssh and git. Strong programming background in Python Knowledge of and experience applying generative AI and LLM technologies to practical problems; e.g. development of AI-powered chatbots a plus Familiarity with AI agent frameworks (e.g., LangGraph, CrewAI, AgentCore, AWS Bedrock Agents) and MCP servers a plus Web development experience and experience working with AWS technologies such as EC2, Beanstalk, S3, and Bedrock a plus. Strong problem-solving and collaboration skills, and rigorous and creative thinking. Excellent written and oral communication skills, including an ability to explain complex ideas to computational scientists, experimentalists, and clinicians. The ability to collaborate with diverse groups across the organization and solve problems that will benefit downstream analysts and decision-making teams. 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.

About the Role/Company

  • Focus on translational research and drug development at BMS
  • Projects tailored to align with the intern's background and interests

Key Responsibilities

  • Apply generative AI, large language models (LLMs), and agentic frameworks to solve practical problems in translational research and drug development
  • Build intelligent tools and systems that enhance data accessibility, streamline exploratory analysis, and facilitate integration and quality across core R&D datasets
  • Improve research efficiency, data-driven discovery, and automation within the organization
  • Collaborate with diverse groups across the organization to solve problems that benefit downstream analysts and decision-making teams

Required Qualifications

  • Rising Junior and above undergraduate or M.S. or Ph.D. graduate student in Bioinformatics, Computer Science or related field
  • Fluency with Linux-based high-performance computing environments, including python, Linux shell scripting, R, ssh and git
  • Strong programming background in Python
  • Knowledge of and experience applying generative AI and LLM technologies to practical problems
  • Authorized to work in the US both at the time of hire and for the duration of their employment

Preferred Qualifications

  • Development of AI-powered chatbots
  • Familiarity with AI agent frameworks (e.g., LangGraph, CrewAI, AgentCore, AWS Bedrock Agents) and MCP servers
  • Web development experience
  • Experience working with AWS technologies such as EC2, Beanstalk, S3, and Bedrock

Skills Required

  • Strong problem-solving skills
  • Collaboration skills
  • Rigorous and creative thinking
  • Excellent written and oral communication skills
  • Ability to explain complex ideas to computational scientists, experimentalists, and clinicians

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

  • No work experience required
  • Immigration or visa sponsorship not available for this position

Locations

  • Princeton NJ, United States
  • Field United States, United States

Salary

Estimated Salary Rangemedium confidence

60,000 - 90,000 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 skillsintermediate
  • Collaboration skillsintermediate
  • Rigorous and creative thinkingintermediate
  • Excellent written and oral communication skillsintermediate
  • Ability to explain complex ideas to computational scientists, experimentalists, and cliniciansintermediate

Required Qualifications

  • Rising Junior and above undergraduate or M.S. or Ph.D. graduate student in Bioinformatics, Computer Science or related field (experience)
  • Fluency with Linux-based high-performance computing environments, including python, Linux shell scripting, R, ssh and git (experience)
  • Strong programming background in Python (experience)
  • Knowledge of and experience applying generative AI and LLM technologies to practical problems (experience)
  • Authorized to work in the US both at the time of hire and for the duration of their employment (experience)

Preferred Qualifications

  • Development of AI-powered chatbots (experience)
  • Familiarity with AI agent frameworks (e.g., LangGraph, CrewAI, AgentCore, AWS Bedrock Agents) and MCP servers (experience)
  • Web development experience (experience)
  • Experience working with AWS technologies such as EC2, Beanstalk, S3, and Bedrock (experience)

Responsibilities

  • Apply generative AI, large language models (LLMs), and agentic frameworks to solve practical problems in translational research and drug development
  • Build intelligent tools and systems that enhance data accessibility, streamline exploratory analysis, and facilitate integration and quality across core R&D datasets
  • Improve research efficiency, data-driven discovery, and automation within the organization
  • Collaborate with diverse groups across the organization to solve problems that benefit downstream analysts and decision-making teams

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

Target Your Resume for "Summer 2026 - Research Engineering Internship" , Bristol-Myers Squibb

Get personalized recommendations to optimize your resume specifically for Summer 2026 - Research Engineering Internship. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Summer 2026 - Research Engineering Internship" , Bristol-Myers Squibb

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

PharmaceuticalPharmaceuticalHealthcare

Answer 10 quick questions to check your fit for Summer 2026 - Research Engineering Internship @ Bristol-Myers Squibb.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Bristol-Myers Squibb logo

Summer 2026 - Research Engineering Internship

Bristol-Myers Squibb

Software and Technology Jobs

Summer 2026 - Research Engineering Internship

full-timePosted: Oct 15, 2025

Job Description

The Summer intern will focus on applying generative AI, large language models (LLMs), and agentic frameworks to solve practical problems in translational research and drug development at BMS. Potential projects involve building intelligent tools and systems that enhance data accessibility, streamline exploratory analysis, and facilitate integration and quality across core R&D datasets. The intern's work will have direct impact on improving research efficiency, data-driven discovery, and automation in our organization. Project assignments will be tailored to align with the intern's background and interests, ensuring a meaningful impact on areas where their strengths are best applied. 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. Rising Junior and above undergraduate or M.S. or Ph.D. graduate student in Bioinformatics, Computer Science or related field, no work experience required. Fluency with Linux-based high-performance computing environments, including python, Linux shell scripting, R, ssh and git. Strong programming background in Python Knowledge of and experience applying generative AI and LLM technologies to practical problems; e.g. development of AI-powered chatbots a plus Familiarity with AI agent frameworks (e.g., LangGraph, CrewAI, AgentCore, AWS Bedrock Agents) and MCP servers a plus Web development experience and experience working with AWS technologies such as EC2, Beanstalk, S3, and Bedrock a plus. Strong problem-solving and collaboration skills, and rigorous and creative thinking. Excellent written and oral communication skills, including an ability to explain complex ideas to computational scientists, experimentalists, and clinicians. The ability to collaborate with diverse groups across the organization and solve problems that will benefit downstream analysts and decision-making teams. 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.

About the Role/Company

  • Focus on translational research and drug development at BMS
  • Projects tailored to align with the intern's background and interests

Key Responsibilities

  • Apply generative AI, large language models (LLMs), and agentic frameworks to solve practical problems in translational research and drug development
  • Build intelligent tools and systems that enhance data accessibility, streamline exploratory analysis, and facilitate integration and quality across core R&D datasets
  • Improve research efficiency, data-driven discovery, and automation within the organization
  • Collaborate with diverse groups across the organization to solve problems that benefit downstream analysts and decision-making teams

Required Qualifications

  • Rising Junior and above undergraduate or M.S. or Ph.D. graduate student in Bioinformatics, Computer Science or related field
  • Fluency with Linux-based high-performance computing environments, including python, Linux shell scripting, R, ssh and git
  • Strong programming background in Python
  • Knowledge of and experience applying generative AI and LLM technologies to practical problems
  • Authorized to work in the US both at the time of hire and for the duration of their employment

Preferred Qualifications

  • Development of AI-powered chatbots
  • Familiarity with AI agent frameworks (e.g., LangGraph, CrewAI, AgentCore, AWS Bedrock Agents) and MCP servers
  • Web development experience
  • Experience working with AWS technologies such as EC2, Beanstalk, S3, and Bedrock

Skills Required

  • Strong problem-solving skills
  • Collaboration skills
  • Rigorous and creative thinking
  • Excellent written and oral communication skills
  • Ability to explain complex ideas to computational scientists, experimentalists, and clinicians

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

  • No work experience required
  • Immigration or visa sponsorship not available for this position

Locations

  • Princeton NJ, United States
  • Field United States, United States

Salary

Estimated Salary Rangemedium confidence

60,000 - 90,000 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 skillsintermediate
  • Collaboration skillsintermediate
  • Rigorous and creative thinkingintermediate
  • Excellent written and oral communication skillsintermediate
  • Ability to explain complex ideas to computational scientists, experimentalists, and cliniciansintermediate

Required Qualifications

  • Rising Junior and above undergraduate or M.S. or Ph.D. graduate student in Bioinformatics, Computer Science or related field (experience)
  • Fluency with Linux-based high-performance computing environments, including python, Linux shell scripting, R, ssh and git (experience)
  • Strong programming background in Python (experience)
  • Knowledge of and experience applying generative AI and LLM technologies to practical problems (experience)
  • Authorized to work in the US both at the time of hire and for the duration of their employment (experience)

Preferred Qualifications

  • Development of AI-powered chatbots (experience)
  • Familiarity with AI agent frameworks (e.g., LangGraph, CrewAI, AgentCore, AWS Bedrock Agents) and MCP servers (experience)
  • Web development experience (experience)
  • Experience working with AWS technologies such as EC2, Beanstalk, S3, and Bedrock (experience)

Responsibilities

  • Apply generative AI, large language models (LLMs), and agentic frameworks to solve practical problems in translational research and drug development
  • Build intelligent tools and systems that enhance data accessibility, streamline exploratory analysis, and facilitate integration and quality across core R&D datasets
  • Improve research efficiency, data-driven discovery, and automation within the organization
  • Collaborate with diverse groups across the organization to solve problems that benefit downstream analysts and decision-making teams

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

Target Your Resume for "Summer 2026 - Research Engineering Internship" , Bristol-Myers Squibb

Get personalized recommendations to optimize your resume specifically for Summer 2026 - Research Engineering Internship. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Summer 2026 - Research Engineering Internship" , Bristol-Myers Squibb

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

PharmaceuticalPharmaceuticalHealthcare

Answer 10 quick questions to check your fit for Summer 2026 - Research Engineering Internship @ Bristol-Myers Squibb.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.