Data Scientist / Data Analyst- Biotech, Pharma, Power BI experience is Mandatory
Posted 1 day ago by Dotcom Team, LLC
Negotiable
Undetermined
Remote
Remote
Summary: The role of Data Scientist / Data Analyst involves supporting a biotech patient services technology organization through operational reporting, data modeling, and AI platform initiatives. The position requires hands-on experience in a regulated healthcare environment, emphasizing the use of Power BI and analytics. The candidate will manage multiple projects in a fast-paced setting while contributing to the organization's growth. Strong background in pharmaceuticals, biotech, or life sciences is essential.
Key Responsibilities:
- Support operational reporting and data modeling initiatives.
- Contribute to emerging AI platform initiatives.
- Manage multiple projects simultaneously in a fast-paced environment.
- Work within a regulated healthcare data environment.
Key Skills:
- Experience in a Data Scientist, Data Analyst, or hybrid analytics role.
- Strong hands-on experience with Power BI.
- Experience with data modeling.
- Exposure to or experience supporting AI / analytics platform initiatives.
- Background within pharmaceuticals, biotech, or life sciences.
- Understanding of working with regulated healthcare data environments.
Salary (Rate): £52.50 hourly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
We are seeking a highly agile Data Scientist / Data Analyst to support a growing biotech patient services technology organization. This individual will operate in a hands-on, multi-functional role supporting operational reporting, data modeling, and emerging AI platform initiatives within a highly regulated healthcare environment.
Experience
- Experience in a Data Scientist, Data Analyst, or hybrid analytics role
- Strong hands-on experience with Power BI
- Experience with data modeling
- Exposure to or experience supporting AI / analytics platform initiatives
- Background within pharmaceuticals, biotech, or life sciences
- Understanding of working with regulated healthcare data environments
- Ability to manage multiple projects simultaneously in a fast-paced setting