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Remote Pharmaceutical Formulation Development Jobs in New York

Jobot

Senior FDA Attorney

Pine Brook, NJ · On-site +1

$250K - $400K/yr

... pharmacies, drug and device manufacturers, clinical trials, dietary supplements, veterinary ... A fully remote arrangement may also be considered for an attorney located in another state. Why ...

Impiricus

SDR Agent Manager

New York, NY · On-site +1

$85K - $105K/yr

Atlanta, GA., New York, NY., Remote US Exemption Status: Full-time, Exempt Who We Are Impiricus is ... Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to ...

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Remote Pharmaceutical Formulation Development information

What is remote pharmaceutical formulation development?

Remote pharmaceutical formulation development refers to the process of designing and optimizing drug formulations using digital tools and collaborative technologies, allowing scientists to work from locations outside of traditional laboratories. This approach enables teams to conduct research, run simulations, analyze data, and collaborate on formulation projects without being physically present in the same facility. Advances in software, cloud computing, and secure data sharing have made remote work more feasible in the pharmaceutical industry, improving flexibility and access to global expertise. However, certain aspects such as hands-on laboratory testing may still require physical presence or coordination with on-site teams.

What are the key skills and qualifications needed to thrive in remote pharmaceutical formulation development?

To thrive in Remote Pharmaceutical Formulation Development, you need a solid background in pharmaceutical sciences, chemistry, or related fields, often supported by an advanced degree and industry experience. Familiarity with formulation software, laboratory information management systems (LIMS), and regulatory documentation tools is commonly required. Strong problem-solving abilities, attention to detail, and effective virtual communication are crucial soft skills for remote collaboration and innovation. These competencies ensure the efficient development of safe, effective drug formulations while maintaining regulatory compliance in a remote work environment.

What are some common challenges faced in remote pharmaceutical formulation development, and how can they be addressed?

One of the main challenges in remote pharmaceutical formulation development is effective communication and collaboration between cross-functional teams, as much of the work relies on sharing complex data and iterative feedback. To address this, teams often utilize advanced project management and data-sharing platforms, as well as regular video conferences to ensure alignment. Another challenge can be limited access to laboratory equipment; companies may use contract research organizations (CROs) or coordinate on-site visits for critical experiments. Staying organized and proactive in documenting progress is essential for remote success in this highly regulated field.

What is the difference between Remote Pharmaceutical Formulation Development vs Remote Pharmaceutical Quality Assurance?

AspectRemote Pharmaceutical Formulation DevelopmentRemote Pharmaceutical Quality Assurance
Required CredentialsDegree in Pharmacy, Chemistry, or related field; experience in formulationDegree in Pharmacy, Chemistry, or related field; experience in QA processes
Work EnvironmentLaboratories, R&D teams, collaborative virtual meetingsQuality labs, compliance teams, virtual audits
Employer & Industry UsagePharmaceutical R&D companies, biotech firmsPharmaceutical manufacturing, biotech, regulatory agencies
Search & Comparison IntentUnderstanding formulation roles, remote formulation jobsQA roles, remote quality assurance positions

Remote Pharmaceutical Formulation Development focuses on creating and optimizing drug formulations, often involving laboratory work and R&D collaboration. Remote Pharmaceutical Quality Assurance emphasizes ensuring product quality, compliance, and regulatory standards, typically involving audits and documentation. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the pharmaceutical industry.

What are the most commonly searched types of Pharmaceutical Formulation Development jobs in New York?

The most popular types of Pharmaceutical Formulation Development jobs in New York are:

What are popular job titles related to Remote Pharmaceutical Formulation Development jobs in New York?

For Remote Pharmaceutical Formulation Development jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Pharmaceutical Formulation Development jobs in New York look for?

The top searched job categories for Remote Pharmaceutical Formulation Development jobs in New York are:

What cities in New York are hiring for Remote Pharmaceutical Formulation Development jobs?

Cities in New York with the most Remote Pharmaceutical Formulation Development job openings:

Remote Pharmaceutical Formulation Development jobs near you
Infographic showing various Remote Pharmaceutical Formulation Development job openings in New York as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution.

Agentic AI Engineering Architect (Remote -US)

OMG Technology

Jersey City, NJ • Remote

Contractor

Posted 7 days ago

Job description

Agentic AI Engineering Architect – Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTE role.

Position Overview

Lead the transformation of the software engineering organization into an AI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across the Product Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define the AI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterprise AI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • Drive AI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures across cloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • Establish AI governance, security, Responsible AI, validation, and regulatory compliance practices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such as OpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.
  • 12+ years of enterprise software engineering experience.
  • 8+ years leading enterprise architecture initiatives.
  • 5+ years leading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience in enterprise software modernization and DevSecOps at scale.
  • Strong understanding of Generative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementing GenAI solutions in enterprise environments.
  • Strong enterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills

AI/Agentic AI: GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering: Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data: Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks: LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.

Other Job Details:

  • Job Type: C2C or W2. (Open to market rate)
  • Duration: 6+ months with a high possibility of extension.
  • Location: REMOTE.
  • Interviews: Video interviews.
  • Docs required: ID proof will be required.