Director, Digital Clinical Operations Data Products Head
Remote (US), United States
Full Time Executive-level / Director USD 168K - 228K
BeiGene
BeiGene is a global, science-driven oncology company focused on developing innovative and affordable medicines to improve treatment outcomes and access for patients worldwide.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 Director of Digital Clinical Operations Data Products Head is a member of the Digital GCO Leadership Team, 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. This will be achieved by working with the technology, engineering, and cross functional teams and
- Drive value, set the vision and roadmap for clin ops data analytics products and clin ops data itself.
- Owning the Clinical Operations data model (I see this as business domain modeling)
- Owning the stewardship of data (including harmonization of clin ops data standards, and metrics definition)
- Owning the mastering of Clinical Operations data
- Experiment with modeling complex data, to discover insights for business performance.
- Owning the discovery, design, and implementation of the analytical solutions for the Global Clinical Operations
Essential Functions of the job:
- Strategic Vision and Leadership: Provide strategic direction 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: Oversee Clinical Operations data model, data quality, profiling, masking, and integration processes
- Technical Expertise: Analyze technology and industry trends to identify specific opportunities and provide technical leadership 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: Act as the single point of contact for data-related initiatives, ensuring timely delivery of data initiatives while managing risk and cost
- Roadmap Implementation: Create and manage the implementation of GCO data and analytics technology roadmap
- Compliance and Continuous Improvements: Participate in 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
- Build & Lead global Digital Operations Data Analyst(s) team (as needed)
- Provide functional and administrative managerial responsibilities to global reports (as needed)
- Act as mentor to direct reports and their associates (as needed)
Technical Skills:
- 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
Other Qualifications:
- Domain expertise: Breadth of experience in data and analytics related to clinical operations to create unique and differentiated clinical operations’ value and business outcomes. Deep 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
- Leadership: Ability to lead and mentor a team of data professionals, providing guidance and support
- 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 strategic thinking, 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
Education Required:
- Bachelor’s or Master’s degree Computer Science or related degree
- 10+ years’ experience in drug development, managing clinical trial data and analytics
- 5+ years in leadership roles as leader in multicultural & international (global) environment a plus
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
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.
Tags: Agile Architecture Azure Big Data Computer Science Data analysis Data Analytics Databricks Data governance Data management Data pipelines Data quality Data visualization Data Warehousing Engineering ETL Hadoop Machine Learning NLP Oracle Pipelines Power BI Spark Statistical modeling Statistics Tableau
Perks/benefits: Career development Equity / stock options Health care Insurance Salary bonus Wellness
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