FreshRemote.Work

Senior Manager, Digital Clinical Operations - Data Analytics

Remote (US), United States

BeiGene continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

General Description:

The Senior Manager, Digital Clinical Operations Data Analyst is responsible for implementing the GCO data and analytics strategy with the goal to increase Global Clinical Operations’ related productivity and aid in data driven decision making. Data Analyst will help transform raw data into actionable insights that support business strategies and decision-making. This will be achieved by working with the technology, engineering, and cross functional teams to

  • Support the Clinical Operations data model and stewardship of data
  • Supporting the mastering of Clinical Operations data
  • Performing adhoc analyses in order to meet GCO business performance needs
  • Experiment with prediction models toward new data-driven insights.
  • Supporting the discovery, design, and implementation of the analytical solutions for the Global Clinical Operations

Essential Functions of the job:  

  • Support the Strategic Vision: Provide support for data governance, architecture, and implementation of data collection, storage, and analytics strategies. Promote a culture that exemplifies agility, compliance, process-orientation, data-driven decision-making, and thoughtful use of technology and innovation
  • Data Pipeline Management: Works with technology partners to create and maintain data pipelines and tools for data analysis and statistical modeling
  • Reporting & Analytics: Work with GCO global teams to identify & generate reports, descriptive, prescriptive and predictive analytical insights
  • Data Quality and Integration: Support Clinical Operations data model, data quality, profiling, masking, and integration processes
  • Technical Expertise: Support specific opportunities in machine learning, natural language processing, and statistical analysis. Monitor, evaluate, and optimize the performance and quality of the data and analytics solutions, as well as troubleshoot and resolve any issues that may arise
  • Project Management: Support the management of data-related initiatives, ensuring timely delivery of data initiatives while supporting the management of the risk and cost
  • Roadmap Implementation: Support the implementation of GCO data and analytics technology roadmap
  • Compliance and Continuous Improvements: Support the development of Data Governance global policies, Standard Operation Procedures (SOP), other controlled documents, and the end-to-end system processes. Ensure that systems and documentation are compliant with all relevant Regulatory requirements, including 21 CFR Part 11, ICH E6 (R2) as well as in accordance BeiGene SOPs and processes. Lead and support continuous improvement of system projects impacting GCO data and analytics. With support from QA, ensure qualification of vendors, support audit activities, and actively monitor vendor performance trends

Supervisory Responsibilities: 

  • Be an individual contributor
  • Act as mentor to direct reports and their associates (as needed)

Technical Skills: 

  • Data Requirements: Gather and document data requirements from various internal & external sources (datasets and stakeholders) 
  • Data Management: Experience with data warehousing / data lake (Azure and Oracle), ETL (Extract, Transform, Load) processes, and data integration tools
  • Statistical Analysis: Strong understanding of statistical methods and tools to analyze and interpret complex data sets
  • Machine Learning: Knowledge of machine learning algorithms and frameworks to build predictive models
  • Data Visualization: Ability to create clear and insightful visualizations using tools like Tableau, Power BI, or similar
  • Big Data Technologies: Familiarity with big data platforms such as Hadoop, Spark, and cloud services Azure Databricks / Synapse

Qualifications:    

  • Bachelor’s degree inComputer Science or related degree. Master’s degree preferred
  • 7+ years’ experience in drug development, managing clinical trial data and analytics 
  • Domain expertise: Breadth of experience in data and analytics related to clinical operations to create unique and differentiated clinical operations’ value and business outcomes. Knowledge of clinical operations systems and associated reporting and visualization tools used in Clinical Operations; utilize past experiences and knowledge to work in an ambitious and fast-paced global biotech company  
  • Communication: Exhibits an agile mindset, strong cross-cultural awareness, and strong verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders
  • Problem-Solving: Excellent conceptual, analytical, and problem-solving skills to identify trends and make data-driven decisions.   
  • Collaboration: Ability to work collaboratively with cross-functional teams to understand their data needs and deliver solutions. Partner with internal BeiGene departments, including Development Data Science, QA and IT, to develop standards, policies, and procedures associated with computerized systems, including lifecycle management for existing systems, and the implementation of innovative new systems

Travel:  As needed

BeiGene Global Competencies

When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

  • Fosters Teamwork
  • Provides and Solicits Honest and Actionable Feedback
  • Self-Awareness
  • Acts Inclusively
  • Demonstrates Initiative
  • Entrepreneurial Mindset
  • Continuous Learning
  • Embraces Change
  • Results-Oriented
  • Analytical Thinking/Data Analysis
  • Financial Excellence
  • Communicates with Clarity

Salary Range: $133,800.00 - $178,800.00 annually

BeiGene is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process.  Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeiGene Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

We are proud to be an equal opportunity employer and we value diversity. BeiGene does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Annual bonus plan Comprehensive benefits package Continuous learning Dental Discretionary equity awards Employee stock purchase plan Equity awards FSA FSA/HSA Global competencies HSA Incentive compensation plan Life Insurance Medical Paid Time Off Vision Wellness

Tasks
  • Compliance
  • Continuous Improvement
  • Data Management
  • Data pipeline management
  • Documentation
  • Ensure data quality and compliance
  • Generate analytical reports
  • Generate reports
  • Implement data analytics strategy
  • Lead continuous improvement initiatives
  • Manage data pipelines
  • Project management
  • Roadmap implementation
  • Support
  • Support data governance and architecture
  • Training
  • Transform raw data into insights
Skills

Agile Analysis Analytical Analytical thinking Analytics Azure BioTech Clinical Clinical operations Collaboration Communication Compliance Continuous Improvement Data analysis Data & Analytics Data Architecture Databricks Data Collection Data Governance Data Integration Data Lake Data Management Data masking Data Pipeline Data Pipeline Management Data Profiling Data Quality Data Science Data storage Data Visualization Data Warehousing Decision making Development Digital Documentation Drug Development Employee stock purchase plan Entrepreneurial Mindset ETL Financial excellence Governance ICH Incentive Compensation Initiative Innovation Lifecycle Management Machine Learning Natural Language Processing Oracle Power BI Predictive Analytics Problem-solving Project Management QA Regulatory Regulatory requirements Reporting SOPS Statistical analysis Statistical methods Statistical modeling Strategy Tableau Teams Teamwork Technical Technology Training Visualization Tools

Experience

5 years

Education

Bachelor Business Engineering Master Operations Science

Certifications

Project Management

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9