[Remote] Associate Director, Clinical Analytics, Data Insights

Responsibilities


Set the analytics strategy and roadmap with business stakeholders across portfolio

Align cross-functional analytical insight strategy and roadmap and ensure consistent insight delivery

Provide senior leadership with forward-looking analyses, predictive models, and risk assessments to inform governance and prioritization

Utilize advanced analytics, machine learning, and artificial intelligence techniques to identify trends, patterns, and opportunities within complex datasets, directly applying these capabilities to address business challenges.

Ensure the accuracy, integrity, and security of data to meet compliance standards and regulatory requirements.

Translate business and cross-functional questions into well-structure analyses with actionable recommendations.

Understand business and organization in-depth, familiar with business process, strong business acumen

Act as a key point of contact, and partner to product managers and business functions to define KPIs, OKRs, metrics that measure trial execution success (e.g., cycle time, site activation, enrollment trends, deviation rates, site financials), develop and implement role-based dashboards or analytical tools to track business operations, performance and suggest data-driven next best actions

Stay abreast of industry trends, emerging technologies, and best practices in data analytics and insights to drive innovation within the organization.

Hands-on experience in implementation and operationalizing AI/ML solutions in business context, technically proficient in various algorithms and models.

Identify and improve processes continuously, explore the opportunities of doing things differently and smartly

Manage a team of data scientists and data analysts or managers or senior members of the team, developing talent, and fostering a culture of continuous improvement.

Foster a culture of curiosity, accountability and continuous improvement

Promote data-driven decision-making at the study and program level through hands-on support and stakeholder engagement.

Qualification

Data AnalyticsMachine LearningArtificial IntelligenceTeam ManagementClinical SystemsData Analysis ToolsProgramming LanguagesCommunication SkillsInterpersonal SkillsProblem-Solving SkillsCritical ThinkingSelf-Motivation

Required


Bachelor’s degree in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 8+ years’ experience of data analytics, insights, or related fields required

Master’s degree in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 6+ years’ experience of data analytics, insights, or related fields

PhD in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 4+ years’ experience of data analytics, insights, or related fields

Proven track record of managing large-scale data projects and leading high performing teams

Familiar with clinical systems, e.g., EDC, CTMS, IRT and other systems

Hands-on experience with AI/ML frameworks and libraries to develop algorithms in business context. Familiarity with Agentic AI is a plus

Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders

Strong interpersonal skills and the ability to lead cross-functional teams and influence at all levels of the organization

Strong capability of prioritizing and handling multitasks, executing quickly

Be able to work under pressure

Strong proficiency in data analysis tools and programming languages

Exceptional analytical, problem-solving, and critical-thinking skills

Self-motivator, hands-on, disciplined and proactive person with great teamwork spirit and strong accountability

4+ years in a team lead role overseeing analytical insights

Strong PC literacy required; MS Office skills (Outlook, Word, Excel, PowerPoint)

Benefits


Medical

Dental

Vision

401(k)

FSA/HSA

Life Insurance

Paid Time Off

Wellness
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