Company Overview
Flagship Pioneering conceives, creates, funds, and develops first-in-category life sciences companies. Since its launch in 2000, the firm has applied its hypothesis-driven innovation process to originate and foster over 75 scientific ventures, resulting in $19 billion in aggregate value and 500+ issued patents. Since inception, Flagship has capitalized its growing portfolio with $1 billion coming from $2.5 billion of aggregate investor capital committed.
Pioneering Medicines
What if…you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability?
Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures, resulting in over $34 billion in aggregate value, 500+ issued patents, and more than 50 clinical trials for novel therapeutic agents.
Position:
The Research Systems Analyst will play a key role in supporting the design, implementation, and management of digital solutions for experimental data management and analysis within Pioneering Medicines (PM). The role will collaborate with cross-functional teams, including laboratory researchers, IT professionals, and bioinformatics teams, to deliver effective solutions that align with PM’s scientific mission and digital strategy.
The successful candidate will contribute to maintaining and optimizing systems for cloud-native laboratory data management, ensuring that solutions meet the needs of both bench scientists and data consumers. This includes supporting system administration, user training, and user adoption of data management practices.
Key Responsibilities:
- Collaborate with stakeholders to gather and document requirements for R&D applications, including electronic data capture systems, laboratory information management systems (LIMS), and document management systems.
- Assist in the implementation, configuration, and testing of R&D systems, ensuring they meet user and business requirements.
- Provide ongoing technical support and troubleshooting for laboratory and data management systems.
- Create user documentation, training materials, and conduct training sessions to support system adoption.
- Work with teams to ensure systems are validated and compliant with industry standards and regulations.
- Monitor system performance and work with IT teams to ensure uptime and resolve any technical issues.
- Stay current with trends and emerging technologies in laboratory and data management systems to provide recommendations for continuous improvement.
Required Qualifications:
- Bachelor’s degree or equivalent experience in IT, computer science, or a life sciences-related field.
- 2–4 years of experience in supporting or implementing laboratory or data management systems within the life sciences industry.
- Familiarity with life science R&D processes, such as biology, translational sciences, and research workflows.
- Basic knowledge of system administration and configuration of laboratory management software (e.g., ELN, LIMS).
- Strong organizational skills and attention to detail with the ability to manage multiple priorities.
- Excellent communication skills to convey technical concepts to non-technical stakeholders effectively.
- Proven ability to work collaboratively in a team environment.
Preferred Qualifications:
- Experience with scientific programming languages (e.g., Python, SQL) for basic data integration and analysis.
- Familiarity with cloud-based data management platforms and FAIR data principles.
- Basic project coordination experience, including timelines and task tracking.
- Exposure to regulatory compliance requirements for laboratory systems (e.g., GxP, FDA guidelines).
This revised description reflects an analyst-level role, focusing on supporting responsibilities, a more entry- to mid-level experience range, and lighter technical leadership requirements while retaining relevance to the life sciences context.
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