Data Scientist

Data Scientist

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?

Flagship Labs 101 (FL101) is an early-stage biotechnology company with an ambitious and exciting mission : to build a discovery engine that will map and control cellular interactions to discover novel targets and transform the lives of patients. FL101 is developing a revolutionary approach to this challenge and is recruiting a team of top-tier scientists to build a powerful, first-in-category platform. This is a unique opportunity to be one of the early employees of a biotech startup that combines an innovative mindset with the resources and know-how of Flagship Pioneering.

Position Summary :

As a Data Scientist on our computational team, you will transform complex experimental and public datasets into actionable insights that drive our platform development and therapeutic programs. You'll partner with both our Platform team and others on the computational team to ensure data quality, build predictive models, and inform scientific campaigns across platform technology development and therapeutic programs. The ideal teammate will be highly adaptable, have strong organizational and communication skills, and will thrive in a highly collaborative and multidisciplinary environment.

Key Responsibilities :

• Perform routine and novel data analysis of sequencing-based data resulting from FL101's novel platform technology.
• Create interactive dashboards and reports to communicate trends, anomalies, and key insights to scientific and engineering teams.
• Collaborate with others on the computational and experimental teams to integrate your analytical outputs into active learning loops, helping to prioritize experiments and optimize resource allocation.
• Work closely with R&D leadership, experimental scientists, and others to translate scientific questions into data requirements and modeling strategies.
• Establish best practices for code versioning, data provenance, and analysis notebooks; contribute to internal knowledge bases and publications.

Qualifications :

Preferred Qualifications :

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.