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Biotech Jobs in Missouri (NOW HIRING)

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

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 ...

CRA 1, IQVIA Biotech

Kansas City, MO · On-site

$71K - $145K/yr

IQVIA Biotech is now hiring for CRA 1 with a minimum of 6 months of on-site monitoring. Must have experience monitoring in oncology solid tumor. IQVIA Biotech is a full-service CRO purpose-built to ...

CRA 1, IQVIA Biotech

Kansas City, MO · On-site

$71K - $145K/yr

IQVIA Biotech is now hiring for CRA 1 with a minimum of 6 months of on-site monitoring. Must have experience monitoring in oncology solid tumor. IQVIA Biotech is a full-service CRO purpose-built to ...

BioTech Sales Account Rep

Joplin, MO · On-site

$88K - $117K/yr

We are a diverse and fast growing pharmaceutical company that is committed to focusing on patient health while delivering consistently high performance. Our Pharmaceutical Sales Rep team provides the ...

BioTech Sales Account Rep

Joplin, MO · On-site

$88K - $117K/yr

We are a diverse and fast growing pharmaceutical company that is committed to focusing on patient health while delivering consistently high performance. Our Pharmaceutical Sales Rep team provides the ...

This opportunity is ideal for someone passionate about biotechnology, AI-driven research, and communicating discoveries in an accessible way. You will have the opportunity to shape a growing ...

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Biotech information

What is the difference between Biotech vs Laboratory Technician?

AspectBiotechLaboratory Technician
Required CredentialsBachelor's degree in biotech, biology, or related field; sometimes advanced degreesAssociate's or bachelor's degree in laboratory science or related field
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsHospitals, research labs, manufacturing facilities
Industry UsageBiotech research, product development, clinical trialsSample analysis, testing, quality control

Biotech professionals typically hold higher degrees and work in research-focused environments, developing new products or therapies. Laboratory Technicians perform routine testing and analysis, often in clinical or manufacturing settings. Both roles are essential in the biotech industry but differ in scope, responsibilities, and required qualifications.

What are some common challenges faced by professionals working in the biotech industry?

Professionals in the biotech industry often face challenges such as keeping pace with rapid technological advancements and adapting to strict regulatory requirements. Additionally, project timelines can be unpredictable due to the complexity of biological systems and the need for rigorous testing and validation. Collaboration across multidisciplinary teams—including scientists, engineers, and regulatory specialists—is essential, which can require strong communication and project management skills. Navigating these challenges can be highly rewarding, as they often lead to innovative solutions and significant scientific breakthroughs.

What are biotech jobs?

Biotech jobs are roles within the biotechnology industry, which combines biology, technology, and engineering to develop products and solutions for healthcare, agriculture, environmental management, and more. These positions can include research scientists, laboratory technicians, bioprocess engineers, quality assurance specialists, regulatory affairs managers, and clinical research associates. Professionals in biotech work on developing new drugs, therapies, medical devices, genetically modified organisms, and biofuels. The field is interdisciplinary and offers opportunities in both research and business settings.

What are the key skills and qualifications needed to thrive in a Biotech role, and why are they important?

To thrive in a Biotech role, you need a solid background in biology, chemistry, or related sciences, often supported by a relevant degree and laboratory experience. Familiarity with laboratory techniques, data analysis software, and regulatory compliance systems is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set standout professionals apart in this field. These skills and qualities are crucial for driving innovation, ensuring data integrity, and meeting rigorous industry standards.

What Is Biotech?

Biotech, the preferred shorthand for biotechnology, is a field of technology focused on the use of biology. The main focus of this field is the use of cellular and biomolecular processes to develop new products. While the modern use of the term focuses on medical research done in labs, biotechnology is considerably more expansive than most people realize. The three primary fields of focus are food, fuel, and medicine. For example, bread and cheese come from ancient biotechnology techniques. Whether your job as a biotechnologist focuses on developing a drug for a company or trying to generate electricity from plants, biotechnology has the potential to create significant advances in technology, and that's why so many universities and companies study it.

What jobs do you get in biotechnology?

Biotechnology offers a range of jobs including research scientist, laboratory technician, quality control analyst, bioprocess engineer, and regulatory affairs specialist. These roles often require knowledge of lab techniques, data analysis, and sometimes advanced degrees or certifications in biology, chemistry, or related fields.

What jobs pay 500,000 a year in the US?

In the biotech industry, senior executive roles such as Chief Scientific Officer, Chief Executive Officer, or Vice President of R&D can reach or exceed $500,000 annually, especially with bonuses and stock options. These positions typically require extensive experience, advanced degrees, and leadership skills, often within large biotech or pharmaceutical companies. Compensation varies based on company size, location, and individual performance.

What are careers in biotechnology?

Careers in biotechnology include roles such as research scientists, lab technicians, quality assurance specialists, and bioprocess engineers. These jobs typically require knowledge of biology, chemistry, and laboratory techniques, and often involve working in laboratories or manufacturing facilities to develop and produce medical, agricultural, or industrial products.

What do you do in a biotechnology job?

A biotechnology job involves working with biological systems, organisms, or derivatives to develop products or solutions in healthcare, agriculture, or environmental fields. Tasks may include conducting experiments, analyzing data, developing new technologies, and following safety and regulatory protocols. Skills in laboratory techniques, data analysis, and knowledge of biotech tools are essential.
What are the most commonly searched types of Biotech jobs in Missouri? The most popular types of Biotech jobs in Missouri are:
What cities in Missouri are hiring for Biotech jobs? Cities in Missouri with the most Biotech job openings:
Infographic showing various Biotech job openings in Missouri as of July 2026, with employment types broken down into 2% As Needed, 91% Full Time, 1% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 28 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