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Remote Pharmaceutical Engineer Jobs (NOW HIRING)

TJM Labs

Pharmacist / Pharmacy Automation Engineer

$59.50 - $71.75/hr

About the Role TJM Labs is looking for a Pharmacist / Pharmacy Automation Engineer to own the ... Remote-first environment * Paid time off * Company-wide events and team gatherings to foster ...

New

The U.S. Pharmacopeial Convention (USP)

... that developers and manufacturers of pharmaceutical drugs are routinely facing. The successful ... This is a remote position requiring 60% domestic travel. The position is based in West Coast (Los ...

United States Pharmacopeia

$99K - $150K/yr

... that developers and manufacturers of pharmaceutical drugs are routinely facing. The successful ... This is a remote position requiring 60% domestic travel. The position is based in West Coast (Los ...

TOFFLON USA LLC

Be Seen First

Field Service Engineer

Springfield, NJ · Remote

$80K - $100K/yr

Pharmaceutical Packaging * Pharmaceutical or Biotech Manufacturing Equipment * Strong ... This is a hybrid role, primarily remote from a home office, with occasional work expected at our ...

TOFFLON USA LLC

Be Seen First

Field Service Engineer

Springfield, NJ · Remote

$80K - $100K/yr

Pharmaceutical Packaging * Pharmaceutical or Biotech Manufacturing Equipment * Strong ... This is a hybrid role, primarily remote from a home office, with occasional work expected at our ...

Automationtechies

Automation & Controls Engineer

Chicago, IL · On-site +1

$86K - $113K/yr

Hybrid/Remote Possible near Chicago, IL A reputable Systems Integrator located northwest of Chicago ... Pharmaceutical or Chemical industry experience * Proficiency with ControlLogix programming

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Remote Pharmaceutical Engineer information

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How much do remote pharmaceutical engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote pharmaceutical engineer in the United States is $38.46, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $40.38 per hour, depending on experience, location, and employer.

What is a Remote Pharmaceutical Engineer?

A Remote Pharmaceutical Engineer is a professional who works from a location outside of a traditional office or laboratory, using digital tools to design, develop, and optimize pharmaceutical products and processes. Their responsibilities may include ensuring drug safety and efficacy, overseeing manufacturing processes, and maintaining regulatory compliance—all while collaborating virtually with teams. This role leverages advanced technology to allow engineers to contribute to pharmaceutical projects from anywhere, making it ideal for those seeking flexible work arrangements in the pharmaceutical industry.

How does a Remote Pharmaceutical Engineer effectively collaborate with on-site teams during drug development projects?

Remote Pharmaceutical Engineers typically use digital collaboration tools, such as video conferencing and project management software, to stay closely connected with on-site teams. Regular virtual meetings and shared documentation ensure alignment on project milestones and compliance requirements. While working remotely, they may occasionally visit facilities for critical process reviews or equipment validation, but most communication is managed online. This structure demands strong organizational and communication skills to coordinate tasks and resolve issues promptly across locations.

What is the difference between Remote Pharmaceutical Engineer vs Remote Quality Assurance Specialist?

AspectRemote Pharmaceutical EngineerRemote Quality Assurance Specialist
Required CredentialsBachelor's in Pharmaceutical Engineering, Chemical Engineering, or related field; certifications like PE or PMP are commonBachelor's in Life Sciences, Chemistry, or related; certifications like CQE or ISO auditor are typical
Work EnvironmentCollaborates with R&D, manufacturing, and regulatory teams; often involved in product development and process optimizationFocuses on compliance, audits, and documentation; ensures products meet quality standards
Employer & Industry UsagePharmaceutical companies, biotech firms, contract research organizationsPharmaceutical companies, biotech firms, regulatory agencies

Remote Pharmaceutical Engineers primarily focus on product development and process improvements, requiring engineering credentials. In contrast, Remote Quality Assurance Specialists concentrate on compliance and quality standards, often holding certifications in quality management. Both roles are vital in the pharmaceutical industry and often work remotely to support global teams.

What are the key skills and qualifications needed to thrive as a Remote Pharmaceutical Engineer, and why are they important?

To thrive as a Remote Pharmaceutical Engineer, you need a strong background in chemical or biomedical engineering, pharmaceutical processes, and regulatory compliance, typically supported by a relevant degree. Familiarity with validation software, data analysis tools, and quality management systems such as GMP and FDA compliance platforms is essential. Effective communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely with cross-functional teams. These skills and qualities are crucial for ensuring product safety, regulatory adherence, and efficient remote project execution in the pharmaceutical industry.
More about Remote Pharmaceutical Engineer jobs
What cities are hiring for Remote Pharmaceutical Engineer jobs? Cities with the most Remote Pharmaceutical Engineer job openings:
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Remote Pharmaceutical Engineer jobs near you
Infographic showing various Remote Pharmaceutical Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $79,999 per year, or $38.5 per hour.
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 18 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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