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Pharma Automation Engineer Jobs in Virginia (NOW HIRING)

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

... AI, automation and data transformation. We then bring those commercially tested solutions to ... The ideal candidate will possess a strong background in both data science and software engineering ...

Experience replacing or modernizing RPA automations * Familiarity with AI/ML concepts and where ... Background in healthcare, pharma, or distribution This role is a hybrid position . The selected ...

Experience replacing or modernizing RPA automations * Familiarity with AI/ML concepts and where ... Background in healthcare, pharma, or distribution This role is a hybrid position . The selected ...

Experience replacing or modernizing RPA automations * Familiarity with AI/ML concepts and where ... Background in healthcare, pharma, or distribution This role is a hybrid position . The selected ...

Showing results 21-30

Pharma Automation Engineer information

See Virginia salary details

$36.7K

$106.2K

$161.6K

How much do pharma automation engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for pharma automation engineer in Virginia is $106,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $122,400.00 per year, depending on experience, location, and employer.

What is a Pharma Automation Engineer?

A Pharma Automation Engineer is responsible for designing, implementing, and maintaining automated systems in pharmaceutical manufacturing. They ensure compliance with industry regulations, improve efficiency, and troubleshoot automation-related issues. Their work involves programming PLCs, SCADA systems, robotics, and other automation technologies to streamline production. Additionally, they collaborate with quality, validation, and process teams to ensure smooth and compliant operations.

What are the key skills and qualifications needed to thrive as a Pharma Automation Engineer?

To thrive as a Pharma Automation Engineer, you need strong knowledge of process automation, pharmaceutical manufacturing standards, and a degree in engineering or a related field. Familiarity with PLCs, SCADA systems, DCS, GAMP guidelines, and often certifications like ISA or Siemens are important technical requirements. Strong problem-solving abilities, communication skills, and attention to detail help in managing projects and collaborating across multidisciplinary teams. These qualifications ensure efficient, compliant, and safe automation solutions that support the stringent operational and regulatory demands of the pharmaceutical industry.

What typical challenges might a Pharma Automation Engineer face in their daily work?

A Pharma Automation Engineer often encounters challenges such as integrating new automation technologies with legacy systems, ensuring compliance with strict FDA and GMP regulations, and minimizing downtime during system upgrades or maintenance. Collaboration across departments like quality assurance, production, and IT is common and often requires excellent communication to align on project requirements and timelines. Adapting quickly to evolving industry technologies while maintaining meticulous documentation and validation are essential parts of the job. Overcoming these challenges not only improves process efficiency but also ensures product quality and compliance in a highly regulated environment.

What are the most commonly searched types of Pharma Automation Engineer jobs in Virginia?

The most popular types of Pharma Automation Engineer jobs in Virginia are:

What job categories do people searching Pharma Automation Engineer jobs in Virginia look for?

The top searched job categories for Pharma Automation Engineer jobs in Virginia are:

Infographic showing various Pharma Automation Engineer job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $106,207 per year, or $51.1 per hour.

System Test and Validation Lead

Deloitte

Rosslyn, VA • On-site, Remote

Full-time

Posted 28 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA management, and risk-based compliance activities across regulated technology environments. This role helps clients address emerging validation considerations for AI/ML-enabled systems and automation frameworks. If this sounds exciting, then this team may be the right fit for you!

Work you'll do

As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk, and Forensic team, you will be responsible for...

  • Lead end-to-end validation activities for GxP systems, including validation plans, IQ/OQ/PQ protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, and data integrity expectations
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks, closure documentation, and tracking of open compliance actions
  • Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience; 6+ years of experience in computer system validation in a life sciences environment, including pharma, biotech, medical device, or clinical
  • Experience leading validation deliverables for GxP systems, including IQ/OQ/PQ protocols, validation plans, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Experience applying 21 CFR Part 11, EU Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available principles
  • Experience managing CAPA lifecycle activities and supporting inspection readiness for Food and Drug Administration or European Medicines Agency audits
  • Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool behavior, and qualifying or validating automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to a remote role and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $145,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA management, and risk-based compliance activities across regulated technology environments. This role helps clients address emerging validation considerations for AI/ML-enabled systems and automation frameworks. If this sounds exciting, then this team may be the right fit for you!

Work you'll do

As a Senior Consultant, Regulatory, Risk, and Compliance on the Regulatory, Risk, and Forensic team, you will be responsible for...

  • Lead end-to-end validation activities for GxP systems, including validation plans, IQ/OQ/PQ protocols, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Apply risk-based validation principles to assess system impact, classify validation requirements, and support compliance with GAMP 5, 21 CFR Part 11, and data integrity expectations
  • Drive inspection readiness activities, including gap assessments, mock audits, validation package reviews, and support for regulatory inspections and responses
  • Lead CAPA activities for validation findings, including root cause analysis, effectiveness checks, closure documentation, and tracking of open compliance actions
  • Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Qualifications

Required:

  • Bachelor's degree in business, information systems, computer science, engineering, or equivalent experience; 6+ years of experience in computer system validation in a life sciences environment, including pharma, biotech, medical device, or clinical
  • Experience leading validation deliverables for GxP systems, including IQ/OQ/PQ protocols, validation plans, summary reports, user requirements specifications, functional specifications, design specifications, and traceability matrices
  • Experience applying 21 CFR Part 11, EU Annex 11, GAMP 5, and data integrity requirements, including Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available principles
  • Experience managing CAPA lifecycle activities and supporting inspection readiness for Food and Drug Administration or European Medicines Agency audits
  • Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool behavior, and qualifying or validating automation testing frameworks
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting periodic review programs for validated systems and associated CAPA triggers
  • Experience validating cloud or software as a service platforms, including Veeva, ServiceNow, or Salesforce in a GxP environment
  • Experience working in Agile delivery environments with validation activities embedded in sprints
  • Experience with AI governance processes, including AI use case tracking, model risk classification, and disclosure requirements for GxP systems

For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to a remote role and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $145,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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