miraibio

miraibio

Vice President, Scientific Strategy & Research Enablement

Cambridge, MA · Exec

Sponsorship not specified$275k-$340kDetected 7 days ago
Machine LearningA/B TestingComplianceRecruitingResearchLab ResearchExperimental DesignAnimal StudiesLeadershipCommunicationCollaboration

About the role

  • We are seeking a Senior Director / Vice President of Scientific Strategy & Research Enablement to help architect and scale the research engine that powers this platform.
  • This is an individual contributor role that is part of extended Executive Leadership team, and with opportunities for growth.

Responsibilities

  • Partner closely with the SVP/Head of Platform and scientific leaders to translate research strategy into an integrated framework for execution across internal teams and external collaborators.
  • Design and implement the infrastructure that supports discovery, including research workflows, collaboration frameworks, and data systems that enable efficient experimentation and decision-making.
  • Lead initiatives that remove barriers to scientific progress and improve how the organization generates, integrates, and interprets experimental data.
  • Collaborate with research, finance, and leadership teams to align resources with the highest-impact scientific opportunities.
  • Contribute to building a culture of scientific rigor, transparency, and operational excellence within the research organization.
  • Develop and manage a network of external collaborators and technology providers that extend the capabilities of the platform.
  • Structure and oversee scientific collaborations and SOWs to ensure alignment on experimental design, data quality and deliverables.

Requirements

  • Bachelor's degree in life sciences, biotechnology, or related field
  • 10+ years of experience in biotechnology or pharmaceutical R&D, with exposure to discovery-stage research environments.
  • Strong understanding of laboratory research workflows and modern approaches to data generation and management.
  • Exceptional communication skills and the ability to synthesize complex scientific concepts into clear strategic narratives.
  • Experience in early-stage or venture-backed biotechnology companies.
  • Familiarity with in vivo delivery technologies, genetic medicines, or nucleic acid therapeutics.
  • Bachelor's degree in life sciences, biotechnology, or related field; PhD required
  • Demonstrated experience enabling or managing complex research programs, scientific collaborations, or research infrastructure.

Compensation

  • Mirai Bio currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits.
  • 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.

Benefits

  • Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond.
  • 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.
  • We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Company info

  • Mirai Bio is a privately-held, Flagship-founded biotechnology company that is delivering genetic medicines from promise to performance.
  • At Flagship, we accept impossible missions to enable bigger leaps.

Equal opportunity

  • We are an equal opportunity employer.

Visa & Work Authorization

  • California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information.

This listing is sourced directly from miraibio's careers page and normalized into a canonical job model.