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Remote Pharmaceutical Engineer Jobs in California

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

We are also exploring other applications of our technology in the pharmaceutical world and beyond ... This role can be remote. Your presence at our Oakland, CA office location is not a requirement.

... remote. In this role, you will have the opportunity to: * Design, execute, and summarize ... Knowledge of global regulatory requirements and cGMP regulations for pharmaceutical manufacturing ...

... remote. In this role, you will have the opportunity to: * Design, execute, and summarize ... Knowledge of global regulatory requirements and cGMP regulations for pharmaceutical manufacturing ...

Process Engineer

Santa Clara, CA · On-site +1

$80K - $155K/yr

... pharmaceutical industries * Broad familiarity with engineering principles, and having strong ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Providing remote telephone assistance. * Being available to travel at short notice in order to ... the pharmaceutical/healthcare sectors. * Previous experience of working with Liquid Handling ...

Providing remote telephone assistance. * Being available to travel at short notice in order to ... the pharmaceutical/healthcare sectors. * Previous experience of working with Liquid Handling ...

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Remote Pharmaceutical Engineer information

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.

Are remote pharmaceutical engineers in demand?

Remote pharmaceutical engineers are in growing demand due to advances in digital communication and the need for specialized expertise in drug development and manufacturing. Employers seek professionals with knowledge of regulatory standards, laboratory skills, and experience with engineering tools, making remote work increasingly feasible in this field.

Are there remote pharmaceutical engineer jobs?

Remote pharmaceutical engineer jobs are available, especially in roles involving process development, quality assurance, and regulatory compliance. These positions often require strong technical skills, industry certifications, and familiarity with collaboration tools for remote work. Opportunities are found across pharmaceutical companies, contract research organizations, and biotech firms that support flexible work arrangements.

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?

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.
What are the most commonly searched types of Pharmaceutical Engineer jobs in California? The most popular types of Pharmaceutical Engineer jobs in California are:
What are popular job titles related to Remote Pharmaceutical Engineer jobs in California? For Remote Pharmaceutical Engineer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Pharmaceutical Engineer jobs? Cities in California with the most Remote Pharmaceutical Engineer job openings:
Infographic showing various Remote Pharmaceutical Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 10 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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