Director – Research Informatics and Data Infrastructure
Confirmed live in the last 24 hours
Flagship Pioneering

501-1,000 employees

Originates biotech ventures for health and sustainability
Company Overview
Flagship Pioneering stands out as a leader in the biotechnology industry, having originated and nurtured over 100 scientific ventures, including high-profile companies like Moderna and Indigo Agriculture. The company's culture is rooted in developing transformative products for human health and sustainability, as evidenced by their creation of platform companies like Generate Biomedicines and Tessera Therapeutics. Their competitive edge lies in their ability to explore new frontiers in genetics, as demonstrated by their recent unveiling of Quotient Therapeutics, a venture aimed at creating transformative medicines.
Venture Capital

Company Stage

N/A

Total Funding

$6.4B

Founded

2000

Headquarters

Cambridge, Massachusetts

Growth & Insights
Headcount

6 month growth

6%

1 year growth

15%

2 year growth

56%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
PowerShell
Chef
Bash
Agile
Python
JavaScript
Airflow
Puppet
MySQL
Data Science
Management
Java
Postgres
AWS
Jenkins
Terraform
Ansible
Development Operations (DevOps)
CategoriesNew
DevOps & Infrastructure
Software Engineering
Requirements
  • 12+ years of R&D experience across biotech/tech and academia, including leadership of mid to large-size data engineering teams and demonstrated ability to scale them
  • B.S. / M.S. in computer science, computational biology, or a related field
  • Expert in cloud computing concepts, such as infrastructure as code, virtualization, and serverless computing
  • Experience in software product management and working with user requirements
  • Experience collaborating with wet lab scientists and managers
  • Experience working in a fast-paced/agile environment
  • Diverse skill set that may include cloud architecture, security (VPC, VPN, and IAM), cost analysis, CloudHealth, CloudTrail, CloudWatch, AWS services such as EC2, S3, RDS, Lambda, and EBS, DevOps: Jenkins, Ansible, Terraform etc. programming languages: Python, Java, JavaScript, C#, Databases: MySQL, PostgreSQL, scripting languages and deployment tools: Bash, PowerShell, Terraform, Puppet, Chef, pipeline architecture: Apache Airflow, Nextflow
  • Lab automation integration utilizing APIs, schedulers, and workflow orchestration tools
  • Ability to develop and recruit top engineering talent
  • Expert in LIMS system design and management: both internal as well as external solutions eg. Benchling, CORE LIMS
Responsibilities
  • Champion implementation of data strategy to support exponential growth of AI/ML stack backed by empirical data collection at scale
  • Develop and execute the roadmap for Research Informatics’ capabilities leveraging high-throughput discovery and computational design
  • Lead deployment of data solutions, including product demos and in-house proof of concept development, to support the Data Science team and general lab
  • Implement DevOps for Data Science team as well as Automation Engineering to deliver the highest consistency and traceability of data acquisition feeding computational pipelines
  • Implement scalable data capture and sharing for manual workflows as well as production-grade workflows inclusive of NGS, flow cytometry, and phenotypic screening, taking advantage of LIMS system and sample management
  • Champion workflow orchestration and integrated data capture on robotic systems and general lab systems, inclusive of interface design for metadata capture and user interaction for LIMS-driven workflows
  • Introduce scalable solutions for sample management and inventory in support of data collection for millions of molecules
  • Support the continued protection, creation, and expansion of the company's intellectual property
  • Present to the company’s Board of Directors, Scientific Advisors, and external stakeholders