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Biotechnology Manager Jobs in Missouri (NOW HIRING)

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 ... Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and ...

BIOSTL INC

FACILITY & LAB OPS MGR

Saint Louis, MO

The Helix Center Biotech Incubator is a growing hub for emerging life science and AgTech companies ... We are seeking a Facilities & Laboratory Operations Manager to serve as the operational backbone of ...

IQVIA

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 ... The ability to manage multiple tasks, prioritize effectively, and work independently while ...

IQVIA

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 ... The ability to manage multiple tasks, prioritize effectively, and work independently while ...

Premier Research

You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and ... Ensures successful management and coordination of efforts assigned to all members of the global ...

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Biotechnology Manager information

What is the difference between Biotechnology Manager vs Research Scientist?

AspectBiotechnology ManagerResearch Scientist
Required CredentialsBachelor's or Master's in Biotechnology, Biology, or related field; often some management experienceTypically a Master's or Ph.D. in Biotechnology, Biology, or related field
Work EnvironmentLeads teams, manages projects, oversees operations in biotech companies or labsConducts experiments, develops new techniques, and analyzes data primarily in research settings
Employer & Industry UsageUsed in biotech firms, pharmaceutical companies, and research institutions for leadership rolesCommon in academic, government, and industry research labs focused on scientific discovery

The Biotechnology Manager focuses on overseeing projects, managing teams, and ensuring operational success, often requiring leadership skills and management experience. In contrast, the Research Scientist primarily conducts experiments and develops new scientific knowledge. Both roles require strong scientific credentials, but their daily responsibilities and career focus differ significantly.

Is biotechnology a high paying career?

Biotechnology managers typically earn higher salaries compared to many other science-related roles, with median annual wages often exceeding $100,000 depending on experience, location, and industry sector. Advanced degrees, specialized skills, and certifications can further increase earning potential in this field.

What does a biotechnology manager do?

A Biotechnology Manager oversees the research, development, and production processes within biotechnology organizations. They are responsible for managing teams of scientists and technicians, ensuring projects meet regulatory and safety standards, and coordinating with other departments to achieve company goals. Their role often involves budgeting, project management, and staying updated on the latest technological advancements in the field. Effective communication and leadership skills are essential for this position.

How does a biotechnology manager typically collaborate with cross-functional teams to drive project success?

As a Biotechnology Manager, you will frequently work with multidisciplinary teams, including scientists, engineers, regulatory specialists, and business development professionals. Your role involves coordinating efforts, setting project timelines, and ensuring clear communication across departments to meet research and development goals. Effective collaboration is essential for troubleshooting technical challenges, aligning project objectives, and delivering innovative solutions within budget and regulatory guidelines. Building strong relationships and facilitating regular team meetings are key practices for success in this role.

What is biotechnology management?

Biotechnology management involves overseeing research, development, and production processes within biotech companies or labs. It requires skills in project coordination, regulatory compliance, and understanding scientific principles to ensure successful product development and commercialization.

What are the key skills and qualifications needed to thrive as a biotechnology manager?

To thrive as a Biotechnology Manager, you need a solid background in biological sciences, project management experience, and usually an advanced degree such as a Master's or Ph.D. in biotechnology or a related field. Familiarity with laboratory information management systems (LIMS), regulatory compliance tools, and certifications like PMP or Six Sigma are often required. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies are crucial to successfully lead teams, ensure regulatory adherence, and drive innovation in a highly technical and regulated industry.

What are the most commonly searched types of Biotechnology jobs in Missouri?

The most popular types of Biotechnology jobs in Missouri are:

Biotechnology Manager jobs near you
Infographic showing various Biotechnology Manager job openings in Missouri as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 14 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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