Back to jobs

Director, Advanced Analytics and Data Science - Innovation

Pay
$174,600–234,600/yearAnnual period assumed. Location-specific pay — pay source
Communicates with Clarity Salary Range: $174,600.00 - $234,600.00 annuallyBeOne 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 BeOne Medicines 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. BeOne 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. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.
Read the full posting
Work setting
Remote — work setting source
Listed location: Remote (US)
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Identify, pilot, and scale generative and agentic AI use cases across commercial, medical, and clinical teams

  • Lead development of predictive models, machine learning, and next-best-action tools

  • Build measurement frameworks for success metrics, test-and-learn, and outcome tracking

  • Translate business and scientific questions into analytical approaches and recommendations

  • Coach data scientists, analysts, and external resources day to day

From the employer’s posting
by identifying, piloting, and scaling use cases for generative AI, agentic AI, natural language interfaces, intelligent automation, and decision intelligence
Lead the development and deployment of predictive models, machine learning capabilities, next-best-action solutions, and decision-support tools
Build measurement frameworks for analytics and AI solutions, including success metrics, test-and-learn design, adoption tracking
translating business, scientific, and operational questions into analytical approaches, data requirements, measurable success criteria, and actionable recommendations
Provide day-to-day leadership, coaching, and guidance to data scientists, analysts, analytics partners, and external resources

What you’ll bring

All qualifications

Core experience

  • Demonstrated experience translating complex data and analytics into strategic recommendations for senior business stakeholders.
  • Strong understanding of healthcare, medical, clinical, and commercial data sources, such as claims, prescription, specialty pharmacy, EHR, real-world data, clinical trial operations data, market access, and third-party syndicated datasets.
  • Experience leading analytics initiatives and innovations that support commercial strategy, omnichannel engagement, patient journey insights, medical engagement, evidence generation, clinical trial feasibility, enrollment, site performance, customer targeting, segmentation, measurement, experimentation, or predictive modeling.
  • Proven ability to lead cross-functional initiatives and influence stakeholders across business, technology, data, legal, compliance, and vendor teams.
  • Demonstrated ability to identify high-value AI innovation opportunities, support AI-enabled transformation, and translate emerging technologies into practical business, scientific, and operational applications with clear measurement plans.
  • Experience designing measurement approaches for analytics and AI initiatives, including KPI definition, experimentation, model monitoring, adoption metrics, and business impact assessment.

Preferred experience

  • Experience with modern analytics, AI, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, experimentation platforms, and AI/ML deployment and monitoring approaches.
  • Experience building or scaling analytics capabilities, AI innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, growth-oriented organization.
  • Familiarity with pharmaceutical data privacy, compliance, governance, responsible AI considerations, and the practical application of AI in regulated life sciences environments.
Qualification wording
Demonstrated experience translating complex data and analytics into strategic recommendations for senior business stakeholders.
Strong understanding of healthcare, medical, clinical, and commercial data sources, such as claims, prescription, specialty pharmacy, EHR, real-world data, clinical trial operations data, market access, and third-party syndicated datasets.
Experience leading analytics initiatives and innovations that support commercial strategy, omnichannel engagement, patient journey insights, medical engagement, evidence generation, clinical trial feasibility, enrollment, site performance, customer targeting, segmentation, measurement, experimentation, or predictive modeling.
Proven ability to lead cross-functional initiatives and influence stakeholders across business, technology, data, legal, compliance, and vendor teams.
Demonstrated ability to identify high-value AI innovation opportunities, support AI-enabled transformation, and translate emerging technologies into practical business, scientific, and operational applications with clear measurement plans.
Experience designing measurement approaches for analytics and AI initiatives, including KPI definition, experimentation, model monitoring, adoption metrics, and business impact assessment.
Experience with modern analytics, AI, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, experimentation platforms, and AI/ML deployment and monitoring approaches.
Experience building or scaling analytics capabilities, AI innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, growth-oriented organization.
Familiarity with pharmaceutical data privacy, compliance, governance, responsible AI considerations, and the practical application of AI in regulated life sciences environments.
Education & alternatives
Required Qualifications - BA/BS Degree with 10+ years of overall industry experience with 8+ years of experience in advanced analytics, data science, commercial analytics, medical analytics, clinical operations analytics, business analytics, or a related function within the pharmaceutical, biotech, healthcare, or life sciences sector. - Demonstrated experience translating complex data and analytics into strategic recommendations for senior business stakeholders.
- Experience designing measurement approaches for analytics and AI initiatives, including KPI definition, experimentation, model monitoring, adoption metrics, and business impact assessment. - Bachelor’s degree in statistics, data science, economics, engineering, business analytics, computer science, or a related quantitative field, or equivalent practical experience. Preferred Qualifications
Preferred Qualifications - Advanced degree, such as a Master’s, MBA, or Ph.D., in a quantitative, scientific, technology, or business discipline. - Experience with modern analytics, AI, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, experimentation platforms, and AI/ML deployment and monitoring approaches.
Apply at BeiGene

Posting record

Report an error

Open 3 monthsWe first saw this posting 99 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 28, 202699 days ago
Recorded sightings
167
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 99

Up longer than most. Similar jobs usually come down between day 7 and day 54.

Well past BeiGene’s usual: its jobs come down by about day 45.

From 7,930 similar postings that came down, and 12 of BeiGene’s. Coming down is not always a hire.

BeiGene is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
Where the posting names them
- Advanced degree, such as a Master’s, MBA, or Ph.D., in a quantitative, scientific, technology, or business discipline. - Experience with modern analytics, AI, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, experimentation platforms, and AI/ML deployment and monitoring approaches. - Experience building or scaling analytics capabilities, AI innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, growth-oriented organization.

Your next step

Complete your application on beigene.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

BeOne 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, Advanced Analytics and Data Science will be part of the Advanced Analytics Center of Excellence (CoE), sitting within Global Insights and Analytics, and will help shape, develop, and scale advanced analytics and AI-enabled solutions that enable data-driven decision-making across Commercial, Medical Affairs, and Clinical Operations. This role will translate complex data into scalable, innovation-led analytics and AI solutions across the patient journey, healthcare provider engagement, scientific exchange, clinical trial acceleration, and omnichannel customer experiences, while advancing the identification, piloting, adoption, and scaling of high-value opportunities that improve performance and deliver meaningful value to patients, healthcare professionals, and stakeholders.

This is a collaborative leadership role that partners closely with Commercial, Medical Affairs, Clinical Operations, Marketing, Sales, Market Access, Medical Excellence, Clinical Development, IT, Data Engineering, Legal, Compliance, and external partners to deliver scalable analytics and AI capabilities, support sound data and model governance, and embed measurable insights into day-to-day decision-making.

Key Responsibilities

Analytics Strategy and Capability Development

  • Contribute to and help execute the advanced analytics capability and innovation roadmap, aligning analytics investments with priorities across Commercial, Medical Affairs, and Clinical Operations and measurable enterprise outcomes.
  • Advance practical AI innovation like predictive triggers, dynamic targeting, enhanced patient journey, next best action – HCP and Accounts, integrated account strategy etc. by identifying, piloting, and scaling use cases for generative AI, agentic AI, natural language interfaces, intelligent automation, and decision intelligence across Commercial, Medical Affairs, and Clinical Operations.
  • Develop patient journey and evidence-oriented analytics using longitudinal healthcare data, claims, prescription, specialty pharmacy, EHR, clinical trial, real-world data, and other relevant data sources to identify key moments of intervention, access barriers, adherence challenges, scientific insights, and CT acceleration.
  • Design and scale analytics solutions that support omnichannel engagement, customer segmentation, campaign measurement, field effectiveness, medical engagement, and CT acceleration.
  • Lead the development and deployment of predictive models, machine learning capabilities, next-best-action solutions, and decision-support tools that enable more personalized, evidence-based, and effective engagement and operational planning.
  • Build measurement frameworks for analytics and AI solutions, including success metrics, test-and-learn design, adoption tracking, performance monitoring, and outcome measurement to quantify business, scientific, operational, and patient impact.

Cross-Functional Leadership and Business Partnership

  • Serve as a strategic partner to Commercial, Medical Affairs, and Clinical Operations leaders by translating business, scientific, and operational questions into analytical approaches, data requirements, measurable success criteria, and actionable recommendations.
  • Bridge business, medical, clinical, and technical teams by converting analytics outputs into clear narratives, decision frameworks, and implementation plans for stakeholders at all levels.
  • Partner with IT, Data Engineering, Legal, Privacy, Compliance, Medical, and Clinical Operations stakeholders to ensure analytics products, AI/ML models, and data practices meet applicable privacy, security, scientific, regulatory, and ethical expectations.
  • Champion responsible AI practices by promoting transparency, model explainability, bias awareness, human oversight, fit-for-purpose validation, appropriate governance, and ongoing performance measurement for AI-enabled decision support.
  • Collaborate with internal teams and external vendors to deliver high-quality analytics solutions efficiently and with strong adoption across the organization.

Team Leadership and Organizational Enablement

  • Serve as a thought leader and hands-on driver in the responsible adoption and continuous evolution of advanced analytics, AI innovation, and machine learning capabilities across Commercial, Medical Affairs, and Clinical Operations teams.
  • Provide day-to-day leadership, coaching, and guidance to data scientists, analysts, analytics partners, and external resources, while supporting team development and capability building.
  • Establish practical operating models, standards, and best practices that improve analytics quality, scalability, speed to insight, measurement consistency, and reuse across teams.
  • Promote a culture of data-driven decision-making by increasing analytics literacy, building stakeholder confidence, and embedding insights into commercial planning, medical strategy, evidence generation, and clinical operations execution.
  • Continuously identify opportunities to modernize tools, platforms, processes, and AI-enabled workflows that improve the impact, efficiency, scalability, adoption, and measurable value of analytics delivery.

Qualifications:

Required Qualifications

  • BA/BS Degree with 10+ years of overall industry experience with 8+ years of experience in advanced analytics, data science, commercial analytics, medical analytics, clinical operations analytics, business analytics, or a related function within the pharmaceutical, biotech, healthcare, or life sciences sector.
  • Demonstrated experience translating complex data and analytics into strategic recommendations for senior business stakeholders.
  • Strong understanding of healthcare, medical, clinical, and commercial data sources, such as claims, prescription, specialty pharmacy, EHR, real-world data, clinical trial operations data, market access, and third-party syndicated datasets.
  • Experience leading analytics initiatives and innovations that support commercial strategy, omnichannel engagement, patient journey insights, medical engagement, evidence generation, clinical trial feasibility, enrollment, site performance, customer targeting, segmentation, measurement, experimentation, or predictive modeling.
  • Proven ability to lead cross-functional initiatives and influence stakeholders across business, technology, data, legal, compliance, and vendor teams.
  • Demonstrated ability to identify high-value AI innovation opportunities, support AI-enabled transformation, and translate emerging technologies into practical business, scientific, and operational applications with clear measurement plans.
  • Experience designing measurement approaches for analytics and AI initiatives, including KPI definition, experimentation, model monitoring, adoption metrics, and business impact assessment.
  • Bachelor’s degree in statistics, data science, economics, engineering, business analytics, computer science, or a related quantitative field, or equivalent practical experience.

Preferred Qualifications

  • Advanced degree, such as a Master’s, MBA, or Ph.D., in a quantitative, scientific, technology, or business discipline.
  • Experience with modern analytics, AI, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, experimentation platforms, and AI/ML deployment and monitoring approaches.
  • Experience building or scaling analytics capabilities, AI innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, growth-oriented organization.
  • Strong executive communication skills, including the ability to develop clear narratives, simplify complexity, and present insights to senior leadership.
  • Familiarity with pharmaceutical data privacy, compliance, governance, responsible AI considerations, and the practical application of AI in regulated life sciences environments.

Supervisory Responsibilities:

  • This position may manage internal analysts, external vendors, agency partners, or contractors and may provide project leadership, coaching, or matrixed guidance to junior analysts; direct people management may be required based on business need.

Travel:

  • Up to 20% for team meetings, stakeholder workshops, or business reviews may be needed.

Global Competencies

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, 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: $174,600.00 - $234,600.00 annually

BeOne 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 BeOne Medicines 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. BeOne 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. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

This passage needs a closer read in the full description.

Location & working pattern

Remote (US)

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.