R

Relation Therapeutics

Drug discovery platform using ActiveGraph ML

Manager/Associate Director - Project Management

Program ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A degree in life sciences, project management, or a related field is required; an advanced degree or equivalent industry experience is welcome.
  • Significant programme or project management experience in biotech, pharma, or comparable scientific research and development settings, ideally including early-stage discovery programmes from target identification through candidate selection, sufficient to operate as the senior project manager for a major, multi-year effort.
  • Comfort managing a programme where scope and workstreams may evolve significantly as science matures from exploratory biology through to a defined lead series.
  • Scientific literacy to engage credibly with discussions spanning wet lab biology, single-cell omics, and machine learning, and grounding in the discovery pipeline, including target validation, hit-to-lead, and lead optimisation, to track progress and flag risks without doing the science.
  • Familiarity with stage-gate or portfolio governance frameworks for early discovery programmes, such as go/no-go criteria, target product profile evolution, and milestone-based progression.
  • Experience overseeing third-party or outsourced work packages, such as contract research organisations, academic collaborators, and specialist service providers, including tracking deliverables, timelines, and quality against agreed scope and escalating issues appropriately.
  • Fluency with project management methodologies, artefacts, and tools such as Microsoft Project, Smartsheet, Asana, Jira, Gantt charts, and RAID logs.
  • Strong organisational skills and a record of managing complex, interdependent workstreams in matrixed environments, with comfort in the operational realities of research and development projects.
  • Excellent written and verbal communication, including the ability to write clearly for senior external audiences.
  • Comfort working in a matrixed environment, balancing multiple stakeholders, and contributing effectively across teams.
  • Ownership of work, proactively seeking opportunities to contribute, and enabling others to do their best work.
  • Ability to communicate openly and directly, give and receive feedback constructively, and handle challenging conversations respectfully.
  • Ability to seek diverse perspectives, build strong working relationships, and contribute to shared goals across teams.
  • Openness and resilience when facing challenges, with high personal standards and focus on meaningful outcomes.

Responsibilities

  • Partner with Programme Leaders, Project Leaders, and sponsors to understand strategic objectives and delivery requirements across the programme.
  • Orchestrate the matrix team to deliver project objectives, motivating team members with clear direction and communication.
  • Work with functional leads to ensure appropriate resource allocation and onboard supplementary resources where needed to support delivery.
  • Proactively manage plans, budgets, risks, and issues across the programme, escalating to senior management when appropriate.
  • Support leadership in navigating high-impact, high-risk situations with clear analysis, transparency, and partnership, including significant adversity or major obstacles.
  • Translate scientific and strategic objectives into integrated project plans, timelines, and milestones.
  • Coordinate execution across wet lab, machine learning research, data science, and engineering teams; own cross-team dependencies and prioritisation; and monitor interdependencies as the programme evolves.
  • Identify and manage programme risks, working with team leads to mitigate blockers before they affect delivery.
  • Coordinate joint governance bodies, including steering committees, working groups, and technical committees, by preparing agendas and materials, recording minutes and following up, and ensuring decisions are documented and actioned.
  • Communicate status to internal leadership and external partners, surfacing decisions and trade-offs as they arise.
  • Maintain project documentation, decision logs, and operational processes to support a multi-year partnered effort.
  • Coordinate resource allocation and operational support across computational and wet lab teams where required.
  • Identify and embed improvements to ways of working as the programme evolves.

Desired Qualifications

  • Awareness of the discovery-to-investigational new drug pathway and its major inflection points, including investigational new drug-enabling toxicology, chemistry, manufacturing and controls/formulation, drug metabolism and pharmacokinetics, and regulatory strategy, sufficient to anticipate future project management needs.
  • Exposure to pre-investigational new drug regulatory interactions or translational/preclinical handover.

About the Company

Relation Therapeutics

Drug discovery platform using ActiveGraph ML

Relation Therapeutics applies machine learning to speed up drug discovery by building a large-scale ActiveGraph ML platform that maps the functional relationships between genes, proteins, and drugs. Its Lab-in-the-Loop approach uses real cells from proprietary biobanks to generate genomic data that continually trains models and prompts new experiments, making target and candidate selection more data-driven. The platform stands apart by applying ActiveGraph ML at scale in drug discovery and by integrating active learning with experimental validation in biology. The goal is to discover therapeutics for currently untreatable diseases and license successful findings to pharmaceutical companies for development and commercialization.

Company size
51-200
Company stage
Late Stage VC
Total funding
$139M
Headquarters
London, United Kingdom
Founded
2019

Recently Posted Jobs

Explore more opportunities at Relation Therapeutics

See more jobs