Open positions
Administrative Assistant
About EffectStats LLC
EffectStats LLC is a Clinical Research Organization (CRO) dedicated to streamlining clinical trials through data analytics and innovative technology. As we integrate generative AI into our clinical workflows, we are looking for pioneers to help us build a secure, efficient, and more intelligent tools for clinical trial data analysis.
Our Commitment to Diversity
EffectStats LLC is an Equal Opportunity Employer. We strictly adhere to the Equal Rights Act and all applicable fair employment practices. We celebrate diversity and are committed to creating an inclusive environment for all employees.
What We Offer
• Competitive Salary: We offer a competitive compensation package commensurate with experience
• Growth: The opportunity to lead AI implementation in the pharmaceutical industry
Job Description:
We are looking for a detail-oriented Administrative Assistant to support our team with day-to-day operations. The ideal candidate will be highly organized and proactive in managing administrative tasks. Compensation TBD.
Your job responsibilities may include:
Manage calendars, schedule meetings, and assist our CEO
Prepare and organize documents, forms, SOPs, and other QA-related documents
Handle correspondence
Assist with onboarding and HR-related tasks
Provide support to developers as an IT administrator
Qualifications:
Minimum Qualifications:
Strong organizational and communication skills
Proficiency in Microsoft Office Suite
Ability to handle confidential information
Bachelor’s degree in English or related discipline that requires extensive writing
Experience with IT admin or IT support work
Preferred Qualifications:
Experience in administrative roles within healthcare or tech industries
Familiarity with project management tools
Domain knowledge in the pharmaceutical industry.
Open positions
Generative AI engineer
About EffectStats LLC
EffectStats LLC is a Clinical Research Organization (CRO) dedicated to streamlining clinical trials through data analytics and innovative technology. As we integrate generative AI into our clinical workflows, we are looking for pioneers to help us build a secure, efficient, and more intelligent tools for clinical trial data analysis.
Our Commitment to Diversity
EffectStats LLC is an Equal Opportunity Employer. We strictly adhere to the Equal Rights Act and all applicable fair employment practices. We celebrate diversity and are committed to creating an inclusive environment for all employees.
What We Offer
• Competitive Salary: We offer a competitive compensation package commensurate with experience
• Growth: The opportunity to lead AI implementation in the pharmaceutical industry
Job Description
Location: Remote (should reside on eastern seaboard)
Type: Full-Time or Contract
Compensation: TBD
As a Generative AI Engineer, you will report directly to the Head of IT. Your primary mission is to train LLMs and build the infrastructure that allows Large Language Models (LLMs) to interact safely and effectively with our clinical data environments. You won't just be prompting models; you will be building their "hands" and "senses"—developing the Python-based tools and protocols that enable AI to execute complex tasks in the clinical research space.
Your job responsibilities may include:
• Streamline the clinical trial data analysis workflow using AI.
• Design and implement tools and functions that LLMs use to interact with external databases, APIs, and file systems.
• Build and maintain Model Context Protocol (MCP) servers to provide standardized, secure data access for AI agents.
• Develop and refine agentic workflows.
• Ensure all AI tools adhere to clinical data privacy standards and are security-hardened.
• Monitor and optimize tool-calling accuracy and latency to ensure high-performance AI responses.
• Creating training data and test data for LLMs.
Qualifications
Minimum Qualifications
• Experience: 2+ years of professional software development experience.
• Clinical Domain: Experience working within a CRO, biotech, or pharmaceutical company.
• Python proficiency: Including experience with API development.
• AI Fundamentals: Experience working with LLM APIs
• ML: Experience with machine learning or fine-tuning LLMs
Preferred Qualifications
• MCP: Practical experience implementing the Model Context Protocol (MCP).
• Private LLMs: Experience with hosting LLMs in air-gapped or private environments like an on-premises server, Amazon Bedrock, or Google Distributed Cloud.
• Secure LLMs: Experience with securing LLMs using prompt sanitization, data obfuscation/censoring, etc.
• Advanced AI: Experience with vector databases, RAG, and NLP techniques