Data Scientist at Clipwire Games developing models for game systems and data pipelines. Collaborating with product and development teams for analytics and insights.
About the role
- Principal Data Scientist developing real-world evidence insights for Johnson & Johnson's Innovative Medicine R&D. Collaborating with cross-functional teams to implement evidence for patient outcomes.
Responsibilities
- Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets
- Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data
- End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation
- Analyze and interpret data to support urgent requests from internal and external stakeholders
- Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools
- Create study protocols, statistical analysis plans, and statistical programming deliverables
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making
- Ensure RWE generation aligned with regulatory requirements and scientific standards
Requirements
- A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, Bioinformatics, or similar)
- Relevant experience (2+ years for Ph.D., 4+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries
- Extensive hands-on experience with data engineering and data analysis
- Proven track record of consistently delivering on high impact data science projects
- Expert proficiency in R and SQL
- Excellent interpersonal, communication, and presentation skills
Benefits
- medical, dental, vision, life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
IT Analyst Data Science role leveraging data and analytics to drive business decision - making and improve digital performance in Mandaluyong City, Philippines.
Senior Data Scientist at Ravio focusing on data science to improve compensation insights and models. Engage with teams to transform datasets into customer - facing products in a hybrid working environment.
Senior Data Scientist at Snowflake working on predictive modeling and financial forecasting initiatives. Leading high - impact projects at the intersection of ML and business strategy.
Data Manager overseeing various research and advisory projects at Busara and managing project staff. Collaborating with academic researchers and advisory clients while ensuring project execution and management.
Graduate Program participant supporting Australia's Defence Industry through hands - on projects and professional development initiatives.
Data Science Intern leveraging skills in statistics and programming for data - driven projects at Revolve. Collaborating with marketing and operations for insightful analytics and strategy recommendations.
Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
Data Scientist transforming complex data into valuable insights for adp MERKUR GmbH. Develops machine - learning models and collaborates with stakeholders for data - driven decisions.