Mission 01 System 02 Research 03 Impact 04 Careers 05 Filings 06 Contact 07
Stockholm, Sweden
Published application 202641026065
Careers

Work that is provable, publishable and used in medicine.

We are recruiting the founding team of Synthetix Health in Stockholm. If your work sits at the intersection of formal privacy and clinical data, we want to talk to you now; role scope is shaped around exceptional people.

§ 01Why now

Three things are true at once, for the first time.

01 / Regulation

The law now asks for proof.

European anonymisation guidance and the EHDS, which opens secondary use from 2029, need a definition of a safe release. It has not been written yet.

02 / Science

Generative models met formal privacy.

Models good enough to be useful can now be trained under guarantees strong enough to be trusted. The hard problems are at that intersection.

03 / Place

Stockholm is the right lab bench.

One of Europe’s densest life-science clusters, world-class universities and an AI community growing fast, all within a few kilometres.

§ 02Founding roles

Small team, large surface area.

Each founding role owns a part of the standard. Open a role to see what it involves.

Privacy research scientist

Differential privacyStockholm

What you will do

  • Own the privacy guarantees behind every certificate, from proofs to accounting
  • Design and run attacks against our own outputs before anyone else does
  • Publish with us on privacy for clinical data

You might have

  • A PhD or equivalent depth in differential privacy, cryptography or statistics
  • Published work, open-source contributions or both
  • Care for writing a proof someone else can check

Machine learning researcher, generative models

Structured clinical dataStockholm

What you will do

  • Build generative models for structured clinical data that train under privacy constraints
  • Define and measure utility against real downstream tasks
  • Turn research results into the production engine

You might have

  • Depth in generative modelling for structured and relational data, including synthesis under differential privacy
  • Experience with clinical coding systems (ICD-10, RxNorm, OMOP) or high-dimensional sparse tables
  • Rigour about evaluation and honest reporting

Clinical data engineer

FHIR · OMOPStockholm

What you will do

  • Connect the engine to hospital systems through FHIR R4, OMOP and EHR exports
  • Build deployments that run inside institutional boundaries
  • Work directly with clinical informatics teams

You might have

  • Hands-on experience with FHIR, HL7 or OMOP
  • Comfort with security-sensitive, on-premise environments
  • Patience with real-world clinical data

Founding commercial lead

Life sciences · NordicsStockholm

What you will do

  • Build our first partnerships with hospitals, registries and life-science companies
  • Shape pricing and packaging of certified data
  • Represent the company with regulators and investors

You might have

  • Experience selling to or working in life sciences or health systems
  • A Nordic network, or the drive to build one fast
  • Comfort explaining technical guarantees in plain language
§ 03How we work

The standard we hold ourselves to.

01

Write it down.

Decisions, proofs and evaluations live in documents anyone on the team can read and challenge.

02

Attack our own work.

We try to break every guarantee before we ship it. Finding a flaw is the most valuable thing you can do here.

03

Publish what we can.

Research that can be public is public. You will build a record of work under your own name.

04

Own the outcome.

Founding roles mean real ownership, of a system, a relationship or a result, from the first day.

§ 04Thesis programme

Theses on real clinical problems.

Ten master’s and PhD projects for 2027, across privacy and security, biostatistics, health informatics, law and regulatory science. Open to students at ten universities in Stockholm, Uppsala, Berlin and Munich. Each project has a supervisor at Synthetix Health and a question worth publishing.

All projects run under a standard confidentiality and IP agreement, agreed before work begins.