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Data Science Internship Biotech Jobs in Missouri

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Biotech Data Engineer Job Type: FTE Work Mode: Remote The Biotech Data Engineer focuses on ... science, and operational use cases * Lead data engineering initiatives that enable AI/ML model ...

TekWissen LLC

IT Data Engineer (Entry)

Creve Coeur, MO · On-site

$58/hr

This client is a German multinational Pharmaceutical and biotechnology company and one of the ... You will work closely with key partners, including data engineers and data scientists, to develop ...

Kanak Elite Services Inc

Work with Scientist, to create a table, SQL, load database * Personality: Conversational Person ... Perfect Communication * Preferred: (medical device or biotech industry) SO/FDA regulated ...

IQVIA

CRA 1, IQVIA Biotech

Kansas City, MO

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

Walmart

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Mentor team members and interns, offering guidance on research methods, problem-solving, and career ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Mentor team members and interns, offering guidance on research methods, problem-solving, and career ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Mentor team members and interns, offering guidance on research methods, problem-solving, and career ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

bioMerieux

Associate Staff Scientist

Hazelwood, MO

... data science, industrialization, manufacturing, and quality teams. The individual supports new ... Experience in medical device, diagnostics, in vitro diagnostic (IVD), biotechnology, pharmaceutical ...

Biomerieux

Associate Staff Scientist

Hazelwood, MO · On-site

... data science, industrialization, manufacturing, and quality teams. The individual supports new ... Experience in medical device, diagnostics, in vitro diagnostic (IVD), biotechnology, pharmaceutical ...

bioMérieux

Associate Staff Scientist

Hazelwood, MO · On-site

... data science, industrialization, manufacturing, and quality teams. The individual supports new ... Experience in medical device, diagnostics, in vitro diagnostic (IVD), biotechnology, pharmaceutical ...

bioMerieux Inc.

Associate Staff Scientist

Hazelwood, MO · On-site

... data science, industrialization, manufacturing, and quality teams. The individual supports new ... Experience in medical device, diagnostics, in vitro diagnostic (IVD), biotechnology, pharmaceutical ...

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Data Science Internship Biotech information

What are the key skills and qualifications needed to thrive as a data science intern in biotech, and why are they important?

A Data Science Intern in Biotech should have a solid understanding of statistics, data analysis, and programming (especially Python or R), typically supported by coursework in computer science, biology, or related fields. Familiarity with data visualization tools, bioinformatics databases, and platforms like Jupyter Notebook or Tableau is highly beneficial. Strong problem-solving abilities, curiosity, and effective communication help interns translate complex data into actionable insights for interdisciplinary teams. These skills enable interns to contribute meaningfully to biotech research by extracting and communicating value from large, complex biological datasets.

What is the difference between Data Science Internship Biotech vs Data Analyst?

AspectData Science Internship BiotechData Analyst
Required CredentialsTypically pursuing or completed a degree in Data Science, Biotechnology, or related fieldsUsually holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentBiotech companies, research labs, pharmaceutical firmsVarious industries including finance, healthcare, marketing
Industry UsageApplied to biotech research, drug development, genomicsApplied to business insights, reporting, and decision-making

While both roles involve data analysis skills, a Data Science Internship in Biotech focuses on applying data science techniques to biotech-specific problems, often requiring knowledge of biology or biotech tools. A Data Analyst generally works across industries, emphasizing data reporting and visualization. The internship provides hands-on experience in biotech settings, whereas a Data Analyst role is broader and industry-agnostic.

What is a data science internship in biotech?

A Data Science Internship in Biotech is a temporary, supervised position where interns apply data science techniques to biological and medical data within a biotechnology company. Interns typically work on real-world projects involving data analysis, machine learning, or bioinformatics to help solve challenges in drug discovery, genomics, or healthcare. The internship provides practical experience, helps interns develop valuable technical and domain-specific skills, and can lead to future job opportunities in the biotech industry.

What types of projects does a data science intern typically work on in biotech?

Data Science Interns in biotech companies often contribute to projects involving the analysis of large-scale biological data, such as genomic sequences or clinical trial results. They might work on building predictive models to assist with drug discovery, automating data processing workflows, or visualizing complex datasets for research teams. Interns regularly collaborate with biologists, chemists, and other data scientists, gaining exposure to interdisciplinary teamwork and the unique challenges of working with sensitive, high-dimensional biomedical data.
Data Science Internship Biotech jobs near you

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 2 days ago

Job description

Overview:
Job Title: Biotech Data Engineer
Job Type: FTE
Work Mode: Remote
The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company's data and AI strategy. The role reports to the Director of Business Intelligence.
Roles & Responsibilities
  • Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
  • Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
  • Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
  • Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
  • Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
  • Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
  • Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
  • Execute against the company's data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
  • Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
  • Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
  • Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
  • Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
  • Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
  • Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
  • Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
  • Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
  • Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations

Education & Licenses And Experience
Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.
Required Competencies & Skills
  • Experience with Azure Cloud (Databricks, DevOps, DataFactory)
  • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing)
  • Strong hands-on python, pyspark, and SQL skills
  • Direct experience with building and leveraging API integrations in ETL pipeline development
  • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc.
  • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices
  • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities
  • Travel up to 20%

Preferred Competencies & Skills
  • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities
  • Familiarity with tools and practices in the Martech and Adtech landscape
  • Knowledge of Consumer, Patient, or HCP data ecosystems
  • Experience with identity providers like LiveRamp, Acxiom, Experian, etc.
  • Experience with custom-built or third-party Customer Data Platforms (CDP)
  • Experience with marketing automation tools

Skills:
Data Engineering

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