Summer 2026 - Bioinformatics and Immunotherapy Internship
Bristol-Myers Squibb
Summer 2026 - Bioinformatics and Immunotherapy Internship
Job Description
Develop and apply systems biology algorithms and machine learning methods Mine large databases of genomics data Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states. Use these insights to support the discovery of novel therapeutic targets and understand disease mechanisms. Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion. Deliver and communicate analysis results to the team 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. Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences Strong foundation in biochemistry, cancer biology, or immunology Experience in applied statistics and machine learning Experience with RNA sequencing (bulk and/or single-cell) Proficiency in R or Python Ability to work full-time for the program's duration Excellent communication and presentation skills 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. Experience with combinatorial optimization algorithms Experience with spatial transcriptomics data Knowledge of systems biology, network or graph theory Experience with version control systems such as Git/GitHub Experience with SQL
Key Responsibilities
- Develop and apply systems biology algorithms and machine learning methods
- Mine large databases of genomics data
- Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states
- Use insights to support the discovery of novel therapeutic targets and understand disease mechanisms
- Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion
- Deliver and communicate analysis results to the team
Required Qualifications
- Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences
- Strong foundation in biochemistry, cancer biology, or immunology
- Experience in applied statistics and machine learning
- Experience with RNA sequencing (bulk and/or single-cell)
- Proficiency in R or Python
- 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
- Experience with combinatorial optimization algorithms
- Experience with spatial transcriptomics data
- Knowledge of systems biology, network or graph theory
- Experience with version control systems such as Git/GitHub
- Experience with SQL
Skills Required
- Excellent communication and presentation skills
- Ability to work full-time for the program's duration
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
- Must be authorized to work in the US at the time of hire and for the duration of employment
- Immigration or visa sponsorship is not available for this position
Locations
- Madison Giralda NJ, United States
Salary
Estimated Salary Rangemedium confidence
40,000 - 60,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent communication and presentation skillsintermediate
- Ability to work full-time for the program's durationintermediate
Required Qualifications
- Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences (experience)
- Strong foundation in biochemistry, cancer biology, or immunology (experience)
- Experience in applied statistics and machine learning (experience)
- Experience with RNA sequencing (bulk and/or single-cell) (experience)
- Proficiency in R or Python (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
- Experience with combinatorial optimization algorithms (experience)
- Experience with spatial transcriptomics data (experience)
- Knowledge of systems biology, network or graph theory (experience)
- Experience with version control systems such as Git/GitHub (experience)
- Experience with SQL (experience)
Responsibilities
- Develop and apply systems biology algorithms and machine learning methods
- Mine large databases of genomics data
- Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states
- Use insights to support the discovery of novel therapeutic targets and understand disease mechanisms
- Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion
- Deliver and communicate analysis results to the team
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
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Answer 10 quick questions to check your fit for Summer 2026 - Bioinformatics and Immunotherapy Internship @ Bristol-Myers Squibb.
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Summer 2026 - Bioinformatics and Immunotherapy Internship
Bristol-Myers Squibb
Summer 2026 - Bioinformatics and Immunotherapy Internship
Job Description
Develop and apply systems biology algorithms and machine learning methods Mine large databases of genomics data Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states. Use these insights to support the discovery of novel therapeutic targets and understand disease mechanisms. Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion. Deliver and communicate analysis results to the team 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. Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences Strong foundation in biochemistry, cancer biology, or immunology Experience in applied statistics and machine learning Experience with RNA sequencing (bulk and/or single-cell) Proficiency in R or Python Ability to work full-time for the program's duration Excellent communication and presentation skills 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. Experience with combinatorial optimization algorithms Experience with spatial transcriptomics data Knowledge of systems biology, network or graph theory Experience with version control systems such as Git/GitHub Experience with SQL
Key Responsibilities
- Develop and apply systems biology algorithms and machine learning methods
- Mine large databases of genomics data
- Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states
- Use insights to support the discovery of novel therapeutic targets and understand disease mechanisms
- Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion
- Deliver and communicate analysis results to the team
Required Qualifications
- Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences
- Strong foundation in biochemistry, cancer biology, or immunology
- Experience in applied statistics and machine learning
- Experience with RNA sequencing (bulk and/or single-cell)
- Proficiency in R or Python
- 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
- Experience with combinatorial optimization algorithms
- Experience with spatial transcriptomics data
- Knowledge of systems biology, network or graph theory
- Experience with version control systems such as Git/GitHub
- Experience with SQL
Skills Required
- Excellent communication and presentation skills
- Ability to work full-time for the program's duration
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
- Must be authorized to work in the US at the time of hire and for the duration of employment
- Immigration or visa sponsorship is not available for this position
Locations
- Madison Giralda NJ, United States
Salary
Estimated Salary Rangemedium confidence
40,000 - 60,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent communication and presentation skillsintermediate
- Ability to work full-time for the program's durationintermediate
Required Qualifications
- Currently enrolled in a PhD program in computational biology, biostatistics, bioinformatics, or related quantitative life sciences (experience)
- Strong foundation in biochemistry, cancer biology, or immunology (experience)
- Experience in applied statistics and machine learning (experience)
- Experience with RNA sequencing (bulk and/or single-cell) (experience)
- Proficiency in R or Python (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
- Experience with combinatorial optimization algorithms (experience)
- Experience with spatial transcriptomics data (experience)
- Knowledge of systems biology, network or graph theory (experience)
- Experience with version control systems such as Git/GitHub (experience)
- Experience with SQL (experience)
Responsibilities
- Develop and apply systems biology algorithms and machine learning methods
- Mine large databases of genomics data
- Analyze single-cell RNA sequencing and spatial transcriptomics data to characterize immune, stromal, and tumor cell states
- Use insights to support the discovery of novel therapeutic targets and understand disease mechanisms
- Integrate independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion
- Deliver and communicate analysis results to the team
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
Answer 10 quick questions to check your fit for Summer 2026 - Bioinformatics and Immunotherapy Internship @ Bristol-Myers Squibb.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs