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Form of workCompany Summary
FL96, Inc. is a privately held, early-stage company developing a novel AI and data-driven approach to materials discovery and development to accelerate the transition to a sustainable future.
FL96 was founded by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies to transform health care, agriculture, and sustainability. Flagship has created over 100 groundbreaking companies since 2000, including Moderna (NASDAQ: MRNA), Generate Biomedicines, Tessera Therapeutics, Indigo Ag, Inari Agriculture, and Sana Biotechnology.
Position Summary
In this position, you will establish and manage a state-of-the-art data management system that interfaces between experimental workflows, computational workflows, and machine learning algorithms. You will ensure the security of the data while allowing easy access for human and AI researchers. You will help create and implement data visualization capabilities, quality control methods, and on-line analysis algorithms to facilitate platform efforts.
The acceleration of materials discovery and translation to sustainability technologies hinges upon a foundation in data science and data management. Building this data management system will require incorporating and advancing best practices across statistical analysis, cloud computing, system networking, API generation, ontology management, database schema, query optimization, knowledge graphs, and security protocols.
Key Responsibilities:
- Develop and oversee data architecture, vision, & modeling efforts using industry data platforms, including the design of data structures and the development of business transformation logic.
- Build and maintain target architectures for new data products including database design, data processing, and data integrations.
- Collaborate with the computational and experimental teams to create optimized, reusable, and scalable semantic models, complete with metadata and lineage information that describes the data model, data structure, and semantics
- Develop on-prem and/or cloud native RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL)
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Stay current on technology trends such as database technologies, high performance computing, infrastructure as code and communicate their value and applicability to the team.
- Scope and develop proof of concepts to demonstrate feasibility of new data driven solutions.
- Accelerate adoption of the latest technology trends within cloud and big data solutions.
- Mentor operations and business teams on data architecture design and requirements.
Required qualifications
- BS, MS, or PhD in Computer Science or related scientific field with 2+ years' experience, or master's degree with 5+ years' experience.
- Experience designing and implementing modern data architectures where data stores and knowledge graphs are integrated with real-time data streams
- Experience establishing ontologies, graph, and SQL database schema
- Knowledge and implementation of transactional, object, document, and graph databases
- Experience with data security, user management, and disaster recovery
- Multiple examples of collaborating with stakeholders to build data pipelines for ingesting high throughput experimental data and to enable automation
- Understanding of the AI/Machine learning lifecycle and model refinement from high volume, real-time data streams
- Strong self-starter and independent thinker, with strong attention to detail
- Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner
- Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting
Preferred qualifications
- Experience leveraging cloud computing services, including AWS services such as S3, RDS, and Neptune
- Experience with web security and permissions management tools for enabling secure real-time data communication
- Experience creating and managing event-based cloud architectures including a multi-client event bus
- Experience building enterprise data governance programs
- Experience designing and building data processing pipelines using Nextflow, Airflow, or similar technologies
About Flagship
Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.
Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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.
