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Intern Biotech Data Science Jobs (NOW HIRING)

MSAT Data Science Engineer

Newark, CA · On-site

$128K - $154K/yr

Allogene Therapeutics is a clinical-stage biotechnology company focused on developing allogeneic ... They are seeking a highly motivated Data Science Engineer to support manufacturing processes ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

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Intern Biotech Data Science information

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How much do intern biotech data science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for intern biotech data science in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Intern Biotech Data Science vs Intern Bioinformatics?

AspectIntern Biotech Data ScienceIntern Bioinformatics
Required CredentialsUndergraduate or graduate degree in Data Science, Bioinformatics, or related fieldsUndergraduate or graduate degree in Bioinformatics, Biology, or related fields
Work EnvironmentLaboratories, biotech companies, research institutions focusing on data analysisLaboratories, research centers, biotech firms focusing on biological data analysis
Industry UsageUsed in biotech, pharmaceutical, and healthcare sectors for data-driven researchCommon in genomics, molecular biology, and personalized medicine sectors

Intern Biotech Data Science and Intern Bioinformatics both involve working with biological data, but Data Science roles focus more on statistical analysis, machine learning, and data modeling, while Bioinformatics roles emphasize biological data interpretation, sequence analysis, and computational biology. The choice depends on your background and career interests in either data-driven insights or biological data analysis.

What cities are hiring for Intern Biotech Data Science jobs? Cities with the most Intern Biotech Data Science job openings:
What are the most commonly searched types of Biotech Data Science jobs? The most popular types of Biotech Data Science jobs are:
What states have the most Intern Biotech Data Science jobs? States with the most job openings for Intern Biotech Data Science jobs include:
MSAT Data Science Engineer

MSAT Data Science Engineer

Allogene Therapeutics

Newark, CA • On-site

$128K - $154K/yr

Full-time

Posted 6 days ago


Job description

Job Summary:
Allogene Therapeutics is a clinical-stage biotechnology company focused on developing allogeneic CAR T cell products for cancer and autoimmune diseases. They are seeking a highly motivated Data Science Engineer to support manufacturing processes through robust data management and analysis, ensuring compliance with GMP and regulatory standards.
Responsibilities:
• Ownership of data lake infrastructure, including data ingestion, cleaning, organization, visualization and integration with data analysis tools.
• Translate process understanding into data and develop data analysis methodology to inform process and quality decisions.
• Generate data packages to support PPQ-readiness, PPQ execution and BLA submission for allogeneic CAR-T therapies and critical starting materials
• Able to apply and develop advanced technologies, scientific principles, theories and concepts to meet the needs of the Process Development and Manufacturing teams, including support of technology transfers
• In-depth knowledge of GMP and regulatory expectations and experience with regulatory inspections
• Work with Quality, Facilities & Engineering, Process Development and IT to ensure cross-functional alignment
• Closely partner with the Process Development and Quality groups to ensure continuity of data, robust process design and monitoring of product quality
• Contribute to company-wide AI initiatives as a thought leader for introduction and implementation of new AI tools for continuous improvement and innovation.
• Engage with broader manufacturing team to enable accomplishment of department goals
• Other duties as assigned
Qualifications:
Required:
• Bachelor’s degree in science or engineering (with a focus on computer science or data science preferred) with a minimum of 6 years of experience within a GMP pharmaceutical manufacturing space and 2 years of direct data science experience within a GMP pharmaceutical manufacturing space.
• Proficiency in programming languages including SQL, Python and R and data analytics tools, including JMP, Spotfire, Tableau, R-Studio.
• Knowledge of pharmaceutical manufacturing processes and GMP requirements for data integrity.
• Excellent written and verbal communication skills.
• Excellent organizational skills and an ability to prioritize effectively to deliver results within established timelines.
• Ability to work independently and as part of a team.
• Ability to travel up to 10%.
• Candidates must be authorized to work in the U.S.
Preferred:
• Late-stage clinical and commercial experience.
• Cell therapy experience.
• Experience developing and implementing data solutions with machine learning and AI.
Company:
Allogene Therapeutics is a biotechnology company catalyzing cancer treatment through the development of CAR T therapy. Founded in 2017, the company is headquartered in South San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.