Job Overview
We are looking for a dedicated and skilled Programmer with expertise in Python and SAS to become a vital member of our innovative team. In this fully remote role, you will be instrumental in supporting our Real World Analytics team by converting analytical protocols into high-quality programming code and ensuring the prompt delivery of analyses in accordance with project timelines.
Key Responsibilities
- Convert analytical protocols into standardized and high-quality programming codes.
- Implement analysis plans as per the approved protocol while meeting project deadlines.
- Offer both scheduled and ad-hoc programming and analytics support to researchers and scientists within the Real World Analytics team.
- Ensure compliance of all analytics projects with both internal and external policies, while also fulfilling procurement requirements.
Required Skills
- Proficiency in Python and strong SQL capabilities are essential.
- Experience with SAS (Proc SQL) or R is advantageous.
- Previous experience in developing Python-based dashboards and programming pipelines for automated data queries, data engineering, integration, and quality control tasks is preferred.
- Familiarity with creating Python-based machine learning models for analytics projects is a plus.
- Competence in Excel, PowerPoint, and other analytical tools (e.g., Tableau, Power BI) is beneficial.
- Experience with patient analytics, particularly claims data, is highly desirable.
- Understanding of medical terminology and experience within the healthcare industry are preferred.
- Self-driven with a keen attention to detail and the ability to meet deadlines.
Qualifications
- A bachelor's degree in a quantitative discipline such as economics, computer science, (bio-)statistics, engineering, data sciences, mathematics, or physics is required; post-graduate training is strongly preferred.
- A minimum of 2 years of experience in data-related roles is necessary.
Career Growth Opportunities
Joining our team not only allows you to engage in impactful analytics projects within the healthcare arena but also provides the chance for professional development and career advancement.
Company Culture And Values
We are committed to fostering an inclusive work environment that values diversity and equality. We welcome applications from individuals of all backgrounds, including race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status.
If you are ready to embrace new challenges and contribute to meaningful analytics projects in healthcare, we invite you to apply!
Employment Type: Full-Time