Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)
WFA Digital Insight
The demand for data scientists with expertise in real-world data analysis has grown exponentially, with a notable 27% increase in job postings in the last year. As the life sciences industry continues to evolve, professionals with skills in programming languages like SAS, R, and SQL are in high demand. Syneos Health, a leading fully-integrated life sciences services organization, is at the forefront of this change. With a commitment to building an inclusive culture and investing in employee development, this company stands out in the remote job market. Before applying, candidates should be aware of the company's focus on innovation and customer success, as well as the requirement for experience with commercial databases and ICD knowledge.
Job Description
About the Role
The Senior Real World Data Programmer position at Syneos Health is a unique opportunity for a skilled data science professional to work on complex data sets and develop programs to support real-world data analyses. As part of the Clinical Solutions team, the successful candidate will collaborate with passionate problem solvers to help customers achieve their goals. With a focus on innovation and customer success, Syneos Health is an ideal company for those looking to make a meaningful impact in the life sciences industry.Day-to-day, the Senior Real World Data Programmer will be responsible for developing programs and providing statistical programming support for epidemiologists or for client or business use. This will involve working with large datasets, creating statistical tables, listings, and graphs, and interpreting complex data sets utilizing codes and programs. The ideal candidate will have experience working with commercial databases such as Optum, HealthVerity, or PharmMetrics, as well as a strong understanding of study protocols and data review processes.
The Clinical Solutions team at Syneos Health is a dynamic and collaborative environment, where team members act with a drug development mindset and apply their expertise to truly understand customer needs. The company's commitment to building an inclusive culture and investing in employee development makes it an attractive option for professionals looking to grow their careers.
What You Will Do
- Develop programs to support real-world data analyses, utilizing programming languages such as SAS, R, and SQL
- Collaborate with epidemiologists to design and implement studies, and to interpret results
- Work with large datasets, creating statistical tables, listings, and graphs
- Develop codes that create analysis datasets, tables, and figures
- Evaluate programming processes and suggest revisions geared toward increasing productivity
- Support protocol and SAP review in support of the epidemiologist
- Review data and program outputs against protocol requirements, flagging issues
- Prepare data specs and develop a strong understanding of study protocols
- Derive cohorts and define index dates
- Model and program using GLM, logistic, Cox, and propensity score matching
What We Are Looking For
- Experience working with commercial databases such as Optum, HealthVerity, or PharmMetrics
- Strong understanding of study protocols and data review processes
- Proficiency in programming languages such as SAS, R, and SQL
- Experience with data analysis and interpretation
- Strong understanding of ICD knowledge and experience
- Ability to work collaboratively in a team environment
- Excellent communication and problem-solving skills
- Experience working with large datasets and complex data sets
- Bachelor's degree in a related field, such as computer science, statistics, or mathematics
Nice to Have
- Experience working with MarketScan, VA data, Medicaid, or Medicare
- Knowledge of data visualization tools such as Tableau or Power BI
- Experience working in a cloud-based environment, such as AWS or Azure
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leading fully-integrated life sciences services organization
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible working hours and remote work options
- Access to cutting-edge technology and tools
- Comprehensive health insurance and wellness programs
- Generous paid time off and holiday schedule
How to Stand Out
- Be prepared to provide examples of your programming experience and data analysis skills, and to explain how you have applied these skills in previous roles.
- Highlight your understanding of study protocols and data review processes, and be prepared to discuss how you have worked with commercial databases and ICD knowledge.
- Show a willingness to learn and adapt to new technologies and tools, such as data visualization software and cloud-based environments.
- Emphasize your ability to work collaboratively in a team environment and to communicate complex data insights effectively.
- Consider creating a portfolio of your work, including examples of your programming projects and data analyses, to demonstrate your skills to potential employers.
- Be prepared to negotiate salary and benefits, and to discuss your long-term career goals and how they align with the company's vision and mission.
- Research the company culture and values, and be prepared to discuss how your own values and work style align with those of the organization.
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