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Director Pharmaceutical Lab Jobs (NOW HIRING)

Novartis

Director, Agentic Lab

$194K - $361K/yr

Summary #LI - Remote Reporting to the Executive Director, Agentic Architecture & Lab, the Director ... Experience in pharmaceutical, healthcare, or other regulated industries. * Experience building ...

Focus Lab

Principal Scientist

Cherry Hill, NJ · On-site

... lab's top technical authority for regulated pharmaceutical analytical programs. This role sets ... Direct complex studies (including forced degradation) and resolve high-impact OOS/OOT ...

Acara Solutions

Lab Analyst II

Greenville, NC

$21 - $25/hr

Do you have experience in pharmaceutical? If you answered yes to those three questions, then apply ... Contract-Direct Hire Pay Rate: $21.00 - $25.00/hour Sounds like a good fit? APPLY TODAY or email ...

Bayer

$115K - $151K/yr

Senior Director, Portfolio Development and Partnerships Operations, Co.Lab Bayer Co ... Lab is a key part of Bayer's pharmaceutical innovation strategy. It serves as both an incubation ...

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Director Pharmaceutical Lab information

See salary details

$45K

$126.1K

$186K

How much do director pharmaceutical lab jobs pay per year?

As of Sep 13, 2026, the average yearly pay for director pharmaceutical lab in the United States is $126,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $138,500.00 per year, depending on experience, location, and employer.

What does a director pharmaceutical lab do?

A Director of a Pharmaceutical Lab oversees the daily operations and strategic direction of the laboratory, ensuring compliance with regulatory standards and quality control protocols. They manage teams of scientists and technicians, coordinate research and development projects, and are responsible for budgeting and resource allocation. The director also plays a key role in maintaining safety standards, fostering innovation, and liaising with external partners or regulatory agencies. Their work is crucial for advancing drug development and ensuring that pharmaceutical products are safe and effective.

What are the key skills and qualifications needed to thrive as a director pharmaceutical lab?

To thrive as a Director of a Pharmaceutical Lab, you need advanced knowledge in pharmaceutical sciences, leadership experience, and a relevant graduate degree such as a PhD or PharmD. Familiarity with regulatory compliance systems (like FDA or EMA guidelines), laboratory information management systems (LIMS), and quality assurance protocols is crucial. Strong communication, problem-solving, and team management skills help drive innovation and maintain high performance across multidisciplinary teams. These capabilities ensure regulatory compliance, scientific excellence, and efficient laboratory operations in a highly regulated industry.

What are some common challenges faced by a director pharmaceutical lab, and how can they be addressed?

A Director in a pharmaceutical lab often faces challenges such as managing cross-functional teams, ensuring regulatory compliance, and balancing project timelines with resource allocation. Addressing these challenges requires strong leadership, clear communication, and a deep understanding of both scientific processes and regulatory requirements. Building a culture of collaboration, staying updated on compliance standards, and implementing efficient workflow systems can help overcome these hurdles and ensure the lab's success.

What is the difference between Director Pharmaceutical Lab vs Quality Control Manager?

AspectDirector Pharmaceutical LabQuality Control Manager
ResponsibilitiesOversees entire laboratory operations, strategic planning, and regulatory complianceManages daily quality control testing, ensures product quality, and implements testing procedures
CredentialsTypically requires advanced degrees (e.g., PharmD, PhD) and extensive industry experienceRequires a bachelor's or master's degree in a related field, with relevant certifications
Work EnvironmentLeadership role within a pharmaceutical laboratory, often in a corporate or research settingHands-on testing environment within the laboratory, focusing on quality assurance

The Director Pharmaceutical Lab holds a broader leadership role, overseeing all lab functions and strategic initiatives, while the Quality Control Manager focuses on daily testing and quality assurance. Both roles require relevant scientific credentials, but the director's position involves higher-level management and regulatory oversight.

More about Director Pharmaceutical Lab jobs

What cities are hiring for Director Pharmaceutical Lab jobs?

Cities with the most Director Pharmaceutical Lab job openings:

What are the most commonly searched types of Pharmaceutical Lab jobs?

The most popular types of Pharmaceutical Lab jobs are:

What states have the most Director Pharmaceutical Lab jobs?

States with the most job openings for Director Pharmaceutical Lab jobs include:

What are popular job titles related to Director Pharmaceutical Lab jobs?

For Director Pharmaceutical Lab jobs, the most frequently searched job titles are:

Director Pharmaceutical Lab jobs near you
Infographic showing various Director Pharmaceutical Lab job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,086 per year, or $60.6 per hour.

Director, Agentic Lab

Remote

Novartis
Pharmaceutical and Medicine Manufacturing • 10K+ employees
Learn more about Novartisexternal

$194K - $361K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 24 days ago

Novartis rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Job Description Summary
#LI - Remote
Reporting to the Executive Director, Agentic Architecture & Lab, the Director, Agentic Lab leads the design, prototyping, and validation of next-generation AI agents and autonomous workflows. The role evaluates emerging AI technologies, develops reusable reference implementations, and partners with engineering teams to transition successful innovations into enterprise-scale capabilities.
This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel.
Job Description
Major Accountabilities
  • Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
  • Evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling.
  • Develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory.
  • Partner with AI Engineering, Platform Engineering, Product, and Architecture teams to productionize successful prototypes.
  • Define best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability.
  • Contribute to enterprise standards, documentation, and reusable engineering patterns for AI agents.
  • Mentor AI engineers and cultivate a culture of experimentation, innovation, and continuous learning.

Essential Requirements:
  • Education: Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline.
  • 7+ years of experience building AI, machine learning, or software engineering solutions, including technical leadership experience.
  • Hands-on expertise with LLMs, agent frameworks, RAG, vector databases, APIs, Python, and cloud-native development.
  • Strong software engineering background with experience building production-grade AI applications.
  • Excellent communication and collaboration skills with the ability to work across research, engineering, and business teams.

Desirable Requirements:
  • Experience in pharmaceutical, healthcare, or other regulated industries.
  • Experience building enterprise agentic AI platforms and developer ecosystems.

Novartis Compensation Summary:
The salary for this position is expected to range between $194,600 and $361,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility and reasonable accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Salary Range
$194,600.00 - $361,400.00
Skills Desired
Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis

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