AI Systematic Review Methodologist

ARETUM, a prominent government contracting company specializing in technology-driven mission support services, is inviting applications for the position of AI Systematic Review Methodologist. In this role, you will leverage artificial intelligence and machine learning techniques to enhance the systematic review process, contributing to high-quality, evidence-based research outcomes.

ARETUM is well-regarded for providing cutting-edge solutions and exceptional service to Federal clients across diverse sectors, including Next Generation Analytics, Engineering Services, Training Services, IT Systems, Cyber Security, PMO Support, and Financial Consulting. Our mission is to deliver technology-based solutions that effectively meet the unique challenges and objectives of our government clients.

Responsibilities

• Research and Validation Studies:
• Design and conduct of validation studies on the use of AI, deep learning, and LLMs in evidence synthesis
• Develop protocols for systematic reviews integrating AI-driven methodologies.
• Evaluate the accuracy, reliability, and efficiency of AI/LLM tools in screening, extracting and synthesizing evidence.
• Data Extraction and Synthesis:
• Utilize AI and LLM platforms to semi-automate data extraction from diverse formats, including PDFs and tables.
• Collaborate with multidisciplinary teams to refine and validate data extraction processes.
• Enhance protocols for minimizing errors in human-led and AI-supported evidence synthesis tasks.
• AI Expertise and Implementation:
• Stay abreast of advancements in AI and LLM platforms ensuring the center employs state-of-the-art tools.
• Develop user-friendly workflows and training materials for the effective use of AI and machine learning tools by team members.
• Dissemination of Findings:
• Author and co-author systematic reviews and validation studies published in peer-reviewed journals.
• Present findings at conferences and workshops.
• Contribute to grant applications and funding proposals to support research initiatives.
• Collaboration and Mentorship:
• Collaborate with a team of systematic review analysts, subject matter experts, information scientists, and statistician.
• Mentor junior researchers and students in evidence synthesis and AI applications.
• Foster collaborations with internal and external stakeholders to expand the center's research capabilities.

• Advanced degree (PhD preferred) in a relevant field such as Data Science, Public Health, Epidemiology, or a related discipline.
• Proven experience conducting systematic reviews with several publications in peer-reviewed journals.
• Expertise in validation studies, particularly those focused on AI/LLMs for evidence synthesis.
• Proficiency in prompt engineering, data extraction, and evidence synthesis processes.
• Familiarity with AI/LLM tools, such as Claude 2, GPT-4, transformers, Hugging Face and other NLP-based platforms.
• Programming skills (e.g., Python, R) and familiarity with machine learning frameworks.
• Strong understanding of statistical methods and data quality assurance.

• Preferred Qualifications:

• Experience in conducting AI-driven data synthesis for diverse topics, such as agriculture and nutrition.
• Experience performing validation studies in evidence synthesis.
• Knowledge of systematic review platforms and guidelines such as PRISMA and Cochrane methodologies.
• Demonstrated ability to work with cross-functional teams and manage multiple projects.
• Strong programming skills (e.g., Python, R) and familiarity with machine learning frameworks.

• Key Competencies:

• Attention to detail and commitment to high-quality research outputs.
• Excellent written and verbal communication skills with ability to translate complex AI and machine learning methods into plain language for a variety of audiences.
• Ability to work collaboratively in a fast-paced research environment.
• Innovative thinking with a focus on leveraging AI to improve traditional research methodologies.

ARETUM is an equal opportunity employer, committed to diversity and inclusion. All qualified candidates will receive equal consideration for employment without regard to disability, race, color, religious creed, national origin, sexual orientation/gender identity, or age.

ARETUM utilizes e-Verify to check employment authorization.

EEO/AA/F/M/Vet/Disabled.