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Syner-G · 2 months ago

Principal AI Business Analyst

Covington, Georgia, United States

Full-time

Onsite

Senior Level, Lead/Staff

7+ years exp

Syner-G is a science-led strategic partner for life science companies, providing integrated regulatory and biopharmaceutical development services. The Principal AI Business Analyst will lead and manage software development projects, ensuring timely delivery and maintaining high standards of quality and compliance while applying machine learning and AI solutions to real-world business problems in the life sciences sector.

Health CareManufacturingPharmaceutical

No H1B

Responsibilities

Lead and manage software development projects using Agile methodologies

Oversee all aspects of project management, including planning, execution, and delivery of projects on time and within budget

Develop project tasks, deliverables, dependencies, and resource requirements

Collaborate with cross-functional teams to create, execute, and communicate overall project plans (scope, schedule, staffing plans, quality, risk management, budget, and procurement) and revise them appropriately to meet changing project needs and requirements

Utilize PowerBI for reporting and data visualization to support project decision-making and performance tracking

Conduct backend testing on software to ensure functionality, performance, and security

Partner with UX/UI Engineers to develop AI-powered solutions with intuitive interfaces and effective data visualization

Apply machine learning and large language models (LLMs) to real-world business problems, particularly in life sciences (e.g., chatbots for patient engagement, intelligent document processing)

Lead efforts to fine-tune LLMs for domain-specific applications, ensuring relevance and accuracy in outputs

Collaborate with stakeholders to identify and prioritize AI use cases across business units

Describe and document AI/ML applications, including the problem statement, model selection, training process, evaluation metrics, and deployment strategy

Support transformation initiatives by defining structure, methodology, and steps for integrating AI into existing workflows

Identify project risks and implement risk mitigation strategies

Facilitate team meetings and workshops to meet project needs

Schedule and lead phase gate reviews with an executive approval committee

Identify and resolve or escalate project issues, facilitate trade-off decisions, and remove obstacles

Continuously analyze and manage risks to enable successful project completion

Define and optimize project management and development processes, methodologies, and tools to improve organizational efficiency and effectiveness

Ensure compliance with regulatory requirements and industry standards

Communicate project status, updates, and milestones to stakeholders and senior management

Foster a culture of continuous improvement and operational excellence

Qualification

Agile project managementMachine learningPowerBIBackend testingNon-clinical informaticsAI use casesProject managementPythonSQLAnalytical skillsLeadershipCommunication skills

Required

Bachelor's degree in Computer Science, Information Technology, or a related field

Minimum of 7-10 years of experience in project management, with specific expertise in non-clinical informatics and software development

Proven experience in Agile project management of software development

Hands-on experience in applying machine learning and fine-tuning large language models (LLMs)

Demonstrated ability to identify and implement AI use cases, especially in life sciences (e.g., chatbots, predictive analytics, NLP for clinical documentation)

Experience working with databases, including data architecture, modeling, and analysis

Proficiency with PowerBI for reporting and data visualization

Experience with backend testing on software

Ability to describe AI/ML applications they've directly contributed to, including business impact and technical approach

Coding experience (e.g., Python, SQL) is a strong plus

Experience partnering with UX/UI teams to deliver user-centric AI solutions

Strong understanding of software development lifecycle and methodologies

Excellent project management skills, with the ability to manage multiple projects simultaneously

Strong leadership and team management abilities

Exceptional communication and interpersonal skills

Detail-oriented with strong analytical and problem-solving capabilities

Ability to work in a fast-paced, dynamic environment