Data science techniques, Effective communication skills, Python Programming, R Programming, SAP, SQL
We are seeking a skilled Data Insights Programmer (Data Scientist) to join our team on a temporary contract basis for Q4 of 2024. This role will support the completion of a key deliverable for an ongoing clinical research project. If you are a data enthusiast with strong technical skills and a passion for clinical research, this is a great opportunity to contribute to impactful work in oncology.
This is a unique opportunity to contribute to a high-impact clinical research project on a contract basis. You will work with a talented and collaborative team, gaining valuable experience in the clinical research space. While this is a temporary role for Q4 2024, you will have the chance to make a meaningful contribution to a project that could have a lasting impact on cancer research.
What You'll Do
As a Data Insights Programmer, you will work closely with cross-functional teams to extract, clean, and analyze data for a clinical research study. Your primary focus will be on ensuring the accuracy and completeness of exploratory data metrics, with the potential to expand into more sophisticated statistical analysis. You will also collaborate with clinical research teams, product managers, engineers, and other stakeholders to ensure alignment on data requirements and project timelines. In addition, you will also:
Who You Are
You are a detail-oriented, technically skilled data professional with a passion for clinical research. You thrive in a collaborative environment and are excited by the opportunity to contribute to a meaningful project in oncology.
Extra credit
Contract Details:
Where you will work
In this remote position, you have the freedom to choose your preferred work location while aligning your working hours with your team's. For further details on our hybrid work approach and remote work type, please visit the how we work website.
At Flatiron, we believe that learning from the experience of every cancer patient is an imperative — it is the key to accelerating research and continuing to improve the quality of care. What stands in the way is an overwhelming technology challenge: Much of the available, real-world clinical data is unstructured and stored across thousands of disconnected community clinics, medical centers and hospitals.