Head of Data Partnerships

Applied Geometry; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Significant equity package

Comprehensive private medical & dental

Conference attendance fully funded

Flexible time off

Job summary

Applied Geometry, an AI research lab, is seeking a Head of Data Partnerships to build our global data strategy and secure datasets essential for frontier immune-system models. Your work will connect researchers, clinicians, health-system leaders, biopharma executives, data custodians, and policymakers to unlock critical assets.

You will own partnerships end to end—from data need definition and outreach to diligence, negotiation, contracting, and data delivery—while coordinating with legal,

Qualifications

• Deep knowledge of biomedical data types and modalities.
• Experience with health-data governance and privacy frameworks.
• Proven track record securing data partnerships.
• Ability to navigate complex governance and contractual terms.
• Excellent written and verbal communication.
• Ability to build momentum inside large institutions.

Responsibilities

• Translate scientific priorities into a data acquisition strategy.
• Identify data gaps and plan routes to fill them.
• Develop relationships with data stewards and leaders across organizations.
• Lead partnerships from outreach through diligence, contracting, and delivery.
• Build a repeatable system for sourcing and expanding data partnerships.

Skills

Biomedical data knowledge

Data governance

Partnership development

Negotiation

Strategic thinking

Persistence

Communication

Education

PhD in immunology or related field

Job description

Applied Geometry

Applied Geometry is an AI research lab building biological superintelligence. We’re developing biological foundation models that learn how human biology works, and AI agents that reason over biological data to accelerate scientific discovery.

Understanding disease means connecting what happens across molecules, cells, tissues, organs and patients. Today, much of that knowledge is fragmented and captured in forms that AI cannot readily interpret or reason over. We believe AI can bring these pieces together to reveal biology that existing approaches cannot.

The Role

We are hiring a Head of Data Partnerships to build our global data strategy and secure the datasets required to develop frontier models of the immune system. Your goal is to identify and unlock the world’s most important biological datasets. These datasets are not publicly available and require trust, relationships, and persistence to access.

You will own this process end to end, working closely with our technical team to determine what data we need, identify where it exists, build relationships with the organizations that steward it, and convert those relationships into durable partnerships.

You will spend significant time with researchers, clinicians, health-system leaders, biopharma executives, data custodians, and policymakers around the world. Internally, you will work closely with our founders, machine-learning researchers, and scientists to ensure that every partnership advances our research roadmap.

What You’ll Do

Data strategy

• Translate Applied Geometry’s scientific priorities into a clear data acquisition strategy.

• Define what makes a dataset valuable, considering biological relevance, modality, longitudinal depth, patient characterisation, treatment exposure, outcomes, scale, and permitted uses.

• Identify critical gaps in our data portfolio and determine the best route to fill them.

Partnership origination

• Find high-value datasets held by health systems, biobanks, academic groups, clinical-trial sponsors, pharmaceutical companies, laboratories, registries, and public-sector programmes.

• Develop relationships with the scientific, clinical, commercial, and institutional leaders responsible for those assets.

• Create partnership models that offer value to counterparties.

Deal execution

• Lead prospective partnerships from initial contact through diligence, negotiation, contracting, and data delivery.

• Structure data licences, research collaborations, and strategic partnerships that are scientifically useful and commercially durable.

• Coordinate with legal, privacy, security, and technical stakeholders to resolve barriers rapidly.

Partnership portfolio

• Build and manage a rigorous pipeline of global data opportunities.

• Prioritize partnerships by expected value, feasibility, exclusivity, strategic importance, cost, and time to access.

• Track new cohorts, research networks, trials, and infrastructure programmes before they become obvious or widely contested.

• Develop repeatable systems for sourcing, evaluating, securing, and expanding data partnerships.

Who You Are

You combine scientific credibility with commercial force. You can discuss cohort design and assay modalities with a principal investigator, navigate governance with a hospital data custodian, and negotiate commercial terms with a pharmaceutical executive.

Above all, you should be unusually persistent. Important datasets are rarely unlocked through a standard sales process. We want someone who can find the person who matters, understand what they value, develop the right proposition, and remain engaged until a meaningful partnership exists.

You will likely bring:

• Substantial knowledge of biomedical data, including clinical, genomic, transcriptomic, proteomic, imaging, pathology, or other multimodal datasets.

• A strong understanding of what makes human data useful - or useless - for biological machine learning.

• A track record of developing partnerships across healthcare, biopharma or academia.

• Direct responsibility for securing access to controlled human data and carrying data-use, licensing, or institutional agreements through to signature and delivery.

• Practical knowledge of health-data governance and privacy frameworks, particularly GDPR, HIPAA, and controlled-access research environments.

• The ability to reason about consent, permitted purpose, data residency, IP, publication rights, model training, and commercialization.

• Excellent judgement in complex negotiations involving scientific, legal, technical, and commercial stakeholders.

• The agency to create momentum inside large institutions where ownership is fragmented and progress is rarely linear.

• Clear written and verbal communication, coupled with the ability to represent the company credibly at the highest levels.

Valuable Experience

• Leading data partnerships, business development, research alliances, or data licensing in biotechnology, healthcare, or biopharma.

• Working with autoimmune disease cohorts, immunology datasets, clinical trials, or longitudinal patient data.

• Building collaborations with health systems, national biobanks, patient registries, or international research consortia.

• Scientific training or hands-on research experience in immunology, genomics, computational biology, bioinformatics, or a related discipline.

• Negotiating partnerships spanning multiple jurisdictions.

• Creating novel partnership structures where a conventional data-licensing transaction would not have worked.

Why Applied Geometry

Data is the foundation on which biological AI models will transform human health. This role offers the opportunity to shape Immunara’’ scientific foundations, build a globally important network of partners, and help create models that will change how autoimmune disease is understood, treated and ultimately cured.

We want Immunara to the best place in the world to do ambitious AI biology work. Hires will receive exceptional support and significant ownership.

Benefits include:

• Competitive, top-of-market compensation.

• Significant equity package to share directly in the upside of building a category-defining company.

• Comprehensive private medical & dental coverage.

• A significant budget to purchase best-in-class equipment, research tooling, software, and the infrastructure you need to do your best work.

• Opportunities to attend leading AI, biology, and scientific conferences — fully-funded.

• Regular team meals, a stocked office, and a working environment designed for high-performance collaboration.

• Flexible time off with no strict limits.