Remote Remote United States
Job Type: regular full-time
Division: Precision for Medicine
Business Unit: QuartzBio
Requisition Number: 5938
POSITION SUMMARY
We are seeking a highly skilled and hands-on Implementation Manager, Technical to join QuartzBio’s Managed Services team. QuartzBio’s Managed Services team is responsible for overseeing the successful implementation of QuartzBio’s Precision Medicine Intelligence Platform and SaaS solutions. This role specializes in technical systems integrations, focusing on setting up data acquisition workflows, API-driven integrations with external systems, and partnering with customer stakeholders ranging from IT specialists, IT project managers, technical and non-technical end-users, business partners and executive leadership. The ideal candidate will have a strong background in systems integration, proficiency in Python or R, customer-facing abilities, curiosity about cutting edge data technology and technical work experience in the biopharma industry.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Information Technology, Bioinformatics, Data Engineering or a related field and a minimum of 8 years of relevant work experience
- 5+ years of experience in systems or data engineering, preferably in the biopharma industry.
- 4-6 years of experience working in a customer-facing role and leading projects.
- Excellent problem-solving and analytical skills.
- Strong written and verbal communication skills.
- Basic knowledge of project management processes and tools (e.g. project scheduling, budgeting, status reporting).
- Ability to write complex reports in a clear and concise manner.
- Proven leadership and project management skills.
- Provide expertise and guidance to team members.
- Lead and manage complex projects or functional areas.
- Actively contributes to the development of departmental strategies.
- Continuously improve technical skills and stay up to date with emerging technologies.
- Meets budgets and schedules for the entire project lifecycle.
- Proficiency in Python or R.
- Proven track record of successfully leading large-scale IT integration projects.
- Strong understanding of data acquisition workflow and IT infrastructure.
- Experience interfacing with systems such as EDC, high-performance computing, large-scale data, and commonly used data lakes and data warehouse systems used within biopharma.
- Experience with AWS and common data workflows involved in pharma clinical, translational, and basic R&D.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work effectively with cross-functional teams and manage multiple stakeholders.
- Strong problem-solving skills and the ability to think strategically.
- Experience with AI-driven data platforms and precision medicine is a plus.
- Experience with systems used across the pharma data value chain, including real-world evidence, wearables, large-scale omics, and clinical data, and understanding how to retrieve data from those systems is a plus.
- Other duties as assigned.