Job title: Senior Real-World Evidence (RWE) Data Scientist
Job type: Contract
Emp type: Full-time
Industry: Life Science and Healthcare
Pay interval: Hourly
Pay rate: negotiable
Job published: 2025-07-02
Job ID: 97117
Contact name: Maggie Chong
Phone number: 3915 0267
Contact email: maggie.chong@linksinternational.com

Job Description

BeiGene

Job Description Template            HR Job Description Rev.2 Effective 15 Nov 2020   

Position Title

Senior RWE Data Scientist

Department

Stats for Global Post Approval and Real-World Evidence (SGPAR)

HR Job Code

(HR use Only)

     

Reports to (Title)

Director

FLSA Status

(HR use only)

 

Exempt

Type of Contributor (Individual or Manager)

Individual

POSITION SUMMARY

Position Summary Why does this position exist?

We’re seeking a highly motivated Senior Real-World Evidence (RWE) Data Scientist with strong expertise in both statistical methodology and programming to support evidence generation from large-scale health care data.    

 

Essential Duties & Responsibilities What tasks are critical to job success?

  • Design and support the execution of RWE studies utilizing real-world data sources, including claims, electronic health records (EHRs) and registry data
  • Conduct exploratory data analyses to support evidence generation, feasibility assessments and study design refinement
  • Participate in database design meetings to ensure that the data collected are in high quality and satisfy analysis requirements
  • Provide technical and programming expertise to independently deliver analytical outputs
  • Collaborate with cross-functional tams to develop and refine data, analytic procedures and programming workflows
  • Manage and contribute to the standardization and automation of data processing workflows, including the development of reusable programming templates and data refreshes
  • Stay current with industry trends and best practice in RWD programming and analytics

 

Core Competencies, Knowledge and Skill Requirements:

  • Basic knowledge of statistical analysis methodologies and experimental design
  • Computer programming using R, SQL, Python or SAS
  • Fundamentals of project planning and management
  • PC literacy required; MSOffice skills (Outlook, Word, Excel, PowerPoint)

 

Communication & Interpersonal Skills (minimum standard language provided)

  • Excellent verbal and written communication skills
  • Ability to effectively collaborate in a dynamic environment

 

Significant Contacts (Specify internal and external interactions)

  • Interacts with cross-functional team members

 

DESIRED BACKGROUND AND EXPERIENCE (Include License or Certifications)
  • Intermediate level in R, SQL, Python or SAS for data manipulation and statistical analysis
  • Experience working with real-world data sources such as claims, EHRs, registries
  • Experience in supporting HEOR, epidemiology or medical affairs teams
  • Familiarity with data platforms or environments such as AWS, Redshift, Databricks
  • Knowledge of ICD, CPT, NDC and other clinical coding system

 

REQUIREMENTS

Education (Indicate if there’s a preferred degree or specified field of study)

  • Bachelors or Master's degree in Biostatistics, Epidemiology, Data Science, or other related fields

 

Experience

  • Minimum 3+ years’ programming experience in real-world data environment using R or SQL

 

Licenses or Certifications:

  • N/A

TRAVEL, PHYSICAL DEMANDS AND WORK ENVIRONMENT (AS APPROPRIATE FOR THE POSITION)
  • Regularly required to operate standard office equipment (personal computer, photocopy machine, etc.)
  • Ability to work on a computer for extended periods of time.
  • Regularly required to sit for long periods of time, and occasionally stand and walk.
  • Regularly required to use hands to operate computer and other office equipment.
  • Close vision required for computer usage.
  • Occasionally required to stoop, kneel, climb and lift up to 20 pounds.

Acknowledgements

Employee Printed Name:

Employee Signature:

Date:

Manager Printed Name:

Manager Signature:

Date:

 

 

Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Equal Employment Opportunity, M/F/D/V

 

   

 

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