This role is for upcoming future opportunities that may arise at Fortrea.
Fortrea is excited to connect with talented individuals for future opportunities. If you meet the job requirements well invite you for an interview. If youre pre-selected our recruiter will keep in touch and let you know when the role officially opens so we can reconfirm your interest before moving forward with an offer.
Job Overview:
As a Real-World Evidence Statistical Programmer you will play a critical role in harnessing real-world data to generate insights that support the development approval and commercialization of innovative drugs. You will work collaboratively with cross-functional teams to inform strategic decision-making and enhance patient outcomes.
Key Responsibilities:
- Data Acquisition Analysis and Modeling:
- Collaborate with internal and external partners to acquire validate and integrate real-world data from diverse sources. Ensure data quality and integrity and maintain comprehensive documentation for reproducibility
- Design and implement advanced statistical models and machine learning algorithms to extract insights from various real-world data sources including electronic health records (EHRs) claims data patient registries and more.
- Analyze complex datasets to identify trends patterns and opportunities that can inform product development and market strategies.
- Support Real-World Studies/Health Outcomes Research:
- Design and execute real-world studies to generate real-world evidence supporting the safety efficacy and economic value of products.
- Contribute to study design including defining objectives selecting appropriate methodologies and developing analytical plans.
- Oversee and perform data curation and cleaning processes to ensure high-quality datasets for analysis.
- Collaborate with cross-functional teams to ensure the alignment of study objectives with business and regulatory goals.
- Insight Generation:
- Translate complex analytical results into actionable insights and communicate findings to stakeholders including research scientists clinical teams and commercial partners.
- Develop data visualizations and reports that convey the impact of real-world data on clinical and business decisions.
- Innovation and Improvement:
- Stay updated with industry trends and innovations in data science machine learning and real-world evidence.
- Propose and develop new methodologies to improve data processing and analysis capabilities.
- Cross-Functional Collaboration:
- Work closely with clinical regulatory commercial and technology teams to ensure alignment and integration of data-driven insights into business processes.
Qualifications:
- Education:
- Bachelors/Masters or Ph.D. degree in Data Science Biostatistics Epidemiology Health Outcomes or a related field.
- Experience:
- Proven experience (3 years) in data analysis preferably in the pharmaceutical or healthcare industry.
- Experience working with real-world data sources such as EHRs claims data or patient registries.
- Technical Skills:
- Proficiency in statistical and data analysis software such as SQL R SAS Python or similar. SQL is a must.
- Experience with data visualization tools like Tableau Power BI or similar.
- Familiarity with machine learning frameworks and techniques.
- Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities to convey complex information to non-technical stakeholders.
- Ability to work effectively in a team-oriented collaborative environment.
Preferred Qualifications:
- Experience in drug development processes or regulatory environments.
- Knowledge of healthcare systems epidemiology and outcomes research.
Other requirement
- May need travel and on-site data curation/analysis as required:
- Engage with local vendor to understand data sources and ensure proper data collection methods.
- Conduct on-site data curation and analysis to ensure immediate and accurate data handling facilitating timely insights.
Learn more about our EEO & Accommodations request here.