Advarra

Customer Success Manager

• Serve as single accountable owner of assigned client accounts (post-award)
• Build and maintain strong relationships with operational and client stakeholders
• Support the commercial team engagement in the later stages of the sales cycle
• Drive software set-up and adoption; ensure clients realize measurable value
• Monitor usage trends and proactively identify expansion opportunities
• Support renewals, upselling, and cross-selling opportunities across accounts
• Identify potential client dissatisfaction or strategic risks

Client Engagement Manager

• Drive client adoption of software
• Ensure value realization and client alignment
• Build and maintain strong relationships with operational and client stakeholders
• Establish clear communication cadence
• Proactively identify expansion opportunities
• Maintain visibility into progress and risk across account engagements
• Support renewals, upselling, and cross-selling opportunities

Business Operations

• Support the Business Systems team ensuring tickets are up to date and contain required information
• Assist with troubleshooting issues and provide technical support
• Assist with generating reports and reviewing/analyzing data to improve data quality in systems
• Assist with documentation
• Perform other duties/projects as assigned

Business Systems Intern

Data Analyst

• Support Advarra’s Analytics and Reporting team
• Work closely with both Business Intelligence and Data Engineering to deliver reporting, dashboards, and data-driven insights
• Create and maintain deliverables
• Conduct ad hoc analysis
• Resolve business and technical issues
• Understand and optimize data structure to drive consistent data capture and reporting
• Lead situations where new data modeling is required to support the business
• Follow best practice as defined by Data Engineering to support Business Intelligence needs
• Drive collaboration with identification of required individuals necessary for identified resolutions
• Work with Business and Product Management team to ensure appropriate requirements are captured and documented
• Support the architect of solutions to support analytics needs
• Participate in release management and deployment, where necessary
• Monitor data feeds and engage with Data Engineering to resolve issues

Business Intelligence Data Analyst II

Data Scientist

• Focus on understanding existing models, assessing their performance, selecting optimal architectures, and fine-tuning them to meet specific domain and business needs—including retrieval-augmented generation (RAG) based applications.
• Collaborate closely with data engineering, product, and domain teams to translate real-world research challenges into scalable, model-driven solutions that accelerate Advarra’s vision of a digitally connected research data and technology fabric.
• Optimize and fine-tune large language models (LLMs) and domain-specific variants using proprietary datasets to achieve precision and recall targets that drive differentiated customer value.
• Evaluate model performance across key metrics and benchmarks, identifying strengths, weaknesses, and opportunities for improvement across predictive, generative, and retrieval-augmented tasks.
• Implement and operationalize LLM-based and retrieval-augmented (RAG) systems that enhance Braid-powered products such as Study Design and Site Feasibility.
• Collaborate with data engineering to ensure scalable, efficient model training, evaluation, and deployment pipelines using Databricks, MLflow, and Delta Lake.
• Assess and select models—open-source or proprietary—that best align with domain-specific requirements and Advarra’s regulated research environment.
• Partner with clinical and operational experts to translate research and trial challenges into measurable model evaluation frameworks and optimization strategies.
• Conduct model interpretability and bias analyses to ensure fairness, transparency, and compliance with governance standards.
• Document methodologies and validation results to support internal governance, reproducibility, and audit readiness.
• Contribute to reusable fine-tuning workflows, evaluation frameworks, and model monitoring pipelines within the Braid AI stack.
• Stay at the forefront of advancements in LLM optimization, retrieval augmentation, and multi-modal learning, applying new methods that improve scalability, explainability, and cost efficiency

Senior Data Scientist

Operations

• Data clean-up: Reviewing Salesforce data and enriching records with updated data
• Analysis: Building analytical models and deriving key insights from the data
• Specific projects may include: analytics of site technology renewals, Account record analysis and clean-up, territory analysis, and pipeline analysis
• This role will work closely with the Segment Operations team and may work directly with Client Executives and Commercial Leadership

Commercial Operations Intern

Compliance

• Analyzes and implements applicable regulatory requirements, institutional policies, and guidance documents to ensure the protection, welfare, and safety of research participants.
• Ensures adherence to Good Clinical Practice (GCP) standards across all phases of clinical research.
• Coordinates the submission and review process for study protocols, amendments, continuing reviews, and reportable events by the Institutional Review Board (IRB), from study initiation through closure.

Regulatory Coordinator

Client Services Representative

• Serve as the main Sponsor, CRO and PI site, contact on assigned studies
• Assist with other studies as needed and serve as a primary Sponsor, CRO and PI site contact on submissions that are assigned to you
• Conduct administrative review of Protocol/site submissions by reading, reviewing, and understanding protocol requirements and all supporting documentation
• Demonstrate advanced understanding of multiple types of Protocol and Site Submissions
• Document and execute client customizations as requested; process change requests for approved Protocols
• Manage vendor relations and documentation for foreign language translations
• Maintain a high level of accuracy and attention to detail; collaborate with the quality assurance team to ensure minimal rate of error
• Complete work in a timely manner, responding to customers within 24 hours of email/voicemail receipt
• Escalate any customer or timeline issues to management

Coordinator II, Client Services

Auditor

• Conduct Computer System Validation (CSV) audits for life science clients.
• Assess compliance with GxP regulations and client requirements.
• Develop audit reports and provide recommendations.
• Collaborate with client teams to ensure remediation actions are implemented.

CSV Auditor

• Conduct Good Pharmacovigilance Practice (GVP) audits (planning, agenda, physical or remote audit, and report writing)
• Evaluate investigator sites, CROs, and vendor compliance or qualification.
• Prepare comprehensive audit reports detailing findings and root-causes.
• Provide written audit reports in English.
• If required will provide corrective actions support and present findings to QA leadership and stakeholders
• Work collaboratively with clients to ensure quality standards.

Freelance Pharmaceutical Quality GVP Auditor

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Implementation & Customer Success Manager – AI, Innovations

Manager

• Play a critical role in shaping and executing talent acquisition strategies
• Lead complex searches for clinical research and life sciences talent
• Serve as a strategic advisor to business leaders
• Mentor team members and drive recruitment initiatives
• Contribute to the organizational talent acquisition direction
• Design and execute sourcing strategies to attract high-caliber candidates
• Build strategic talent networks within the life sciences industry
• Manage complex recruitment projects across the organization
• Enhance candidate assessment processes
• Provide thought leadership on industry trends and best practices

Talent Manager

• Leading and strategizing highly complex recruitment campaigns focused on senior, executive, and specialized positions
• Contributing to and influencing the overall recruitment strategy
• Serving as a strategic talent advisor and primary point of contact for business leaders
• Designing and executing innovative, targeted sourcing strategies to attract high-caliber and niche candidates
• Building and sustaining strategic talent networks within the life sciences industry
• Leading and enhancing the candidate assessment process
• Mentoring and guiding junior team members
• Managing complex or high-visibility recruitment projects
• Ensuring data integrity and leveraging insights within the applicant tracking system (ATS)
• Providing thought leadership and insights on industry trends

Full-stack Engineer

• The Director, Software Engineering – AI & Innovations is a hands-on, operationally strong engineering leader responsible for delivering AI-enabled capabilities across Advarra’s Technology portfolio.
• This is a player-coach leadership role, engaging in architectural decisions, AI solution design, and critical technical discussions.
• Own delivery predictability, team performance, resource planning, and operational excellence.
• Advance integration of AI into customer-facing applications and embed AI assistants and automation into engineering workflows to increase velocity, improve quality, and enhance transparency.
• Partner closely with Product Management, Cloud Engineering, IT, Security, QA, Data, and Operations to ensure scalable, compliant, and customer-centric solutions.