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Biotech 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 ...

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

$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 ...

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All JobsBiotech JobsBiotech Manager JobsBiotech Manager Jobs in Missouri

Biotech Manager information

See Missouri salary details

$21.6K

$57.5K

$96.1K

How much do biotech manager jobs pay per year?

As of Aug 5, 2026, the average yearly pay for biotech manager in Missouri is $57,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,300.00 and $64,700.00 per year, depending on experience, location, and employer.

What does a biotech manager do?

A Biotech Manager oversees teams and projects within biotechnology companies or research institutions. They are responsible for managing research and development, ensuring compliance with regulations, coordinating between different departments, and guiding product development from concept to market. Additionally, they handle budgeting, scheduling, and resource allocation to ensure projects are completed efficiently and successfully. Biotech Managers play a crucial role in bridging the gap between scientific research and commercial applications.

Is biotech management still a good career?

Biotech management remains a viable career due to ongoing advancements in biotechnology, pharmaceuticals, and healthcare. Managers in this field oversee research, development, and commercialization processes, often requiring strong leadership, regulatory knowledge, and familiarity with industry tools. The sector offers opportunities for growth, innovation, and competitive salaries, making it a stable career choice for qualified professionals.

What are some common challenges biotech managers face when leading cross-functional teams?

Biotech Managers often lead teams composed of scientists, engineers, regulatory specialists, and business professionals, each with distinct perspectives and priorities. One common challenge is facilitating effective communication across these diverse groups to ensure project goals are clearly understood and timelines are met. Additionally, balancing the need for scientific rigor with commercial objectives can require careful negotiation and leadership. Successful Biotech Managers foster a collaborative culture and adapt their management style to bridge gaps between departments, enabling innovation while maintaining compliance and efficiency.

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

To thrive as a Biotech Manager, you need a solid background in biotechnology or life sciences, experience in project management, and often an advanced degree such as an MBA or PhD. Familiarity with laboratory management systems, regulatory compliance tools, and quality assurance protocols is typically required. Leadership, strategic thinking, and strong interpersonal skills are essential for motivating teams and driving innovation. These competencies ensure effective oversight of complex projects, regulatory adherence, and successful team and product development in a rapidly evolving industry.

What is the difference between Biotech Manager vs Research Scientist?

AspectBiotech ManagerResearch Scientist
Required CredentialsBachelor's or Master's in Biotechnology, Life Sciences, or related field; management experienceMaster's or PhD in Biotechnology, Biology, or related field; strong research background
Work EnvironmentTeam leadership, project management, overseeing labs and staffLaboratory research, experimental design, data analysis
Employer & Industry UsageBiotech companies, pharmaceutical firms, research institutionsAcademic institutions, research labs, biotech companies

The main difference between a Biotech Manager and a Research Scientist lies in their focus: managers oversee projects and teams, while research scientists conduct experiments and analyze data. Both roles require strong scientific credentials, but managers also need leadership and organizational skills to coordinate research efforts.

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 Manager jobs? Cities in Missouri with the most Biotech Manager job openings:
Biotech Manager jobs near you
Infographic showing various Biotech Manager job openings in Missouri as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 1% Temporary, 5% Contract, and 1% Summer. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $57,547 per year, or $27.7 per hour.

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 4 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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