Biostatistician​/RWE Methodologist​/Clinical Data Analyst

Biostatistician / RWE Methodologist / Clinical Data Analyst Remote:

Europe | Portugal

What’s Promptly in a nutshell

Promptly is building the first patient-centered global evidence network, offering real world data sharing and monetization capabilities. Together with a selected network of Partners, we generate new knowledge from harmonized datasets, augmented with the collection of longitudinal patient-reported data and patient-generated digital biomarkers within a secure and privacy-preserving environment.

We answer the question – is this patient treatment the best it could possibly be?

What’s our purpose

We exist to empower every patient and every health organization on the planet with evidence on the outcomes of care!

Why do we get up in the morning? Well, most healthcare professionals have chosen to work in healthcare driven by their desire to make a difference in patients’ lives. And so have we! We have chosen to follow this calling by addressing the biggest problem in healthcare: the lack of real-world evidence on the outcomes of care.

For us, society denying patients better care due to lack of access to data is unethical, in a world where technology improved so many aspects of our world. Making the right evidence available to healthcare organizations to help prevent one lost life, one care complication, one failed treatment is the moral obligation that big tech companies have – it’s our Hippocratic Oath.

At Promptly, everything we do is driven by our core purpose: to promote better healthcare at lower costs for patients every day, by making health outcomes available.

Promptly runs real-world evidence (RWE) studies for pharmaceutical sponsors on routinely collected hospital data: electronic health records, laboratory results and clinical documentation from a federated network of partner hospitals. Some of these data are harmonised to a common data model such as the Observational Medical Outcomes Partnership (OMOP) model; others arrive in the hospital's own format. Patient-level data never leave a hospital.

Analysis code runs inside each hospital's trusted research environment (TRE), and only aggregate results leave after statistical disclosure control (small-number suppression).

You are the statistician on these studies. You decide what a dataset can and cannot estimate, choose the design and the methods, quantify the uncertainty, and defend those choices to sponsors and clinicians. Everything we deliver has to stand up to methodological scrutiny, and you make sure it does.

You do not work alone. Clinicians at the partner hospitals and medical experts are your closest collaborators. Together you define outcomes and exposures that are clinically meaningful and measurable in routine data, and interpret what the results mean for patients. A Clinical Data Engineer builds the data pipelines and the analysis datasets you specify. Depending on your background, you may also derive cohorts and variables yourself from prepared extracts.

The team works in English. If you are early in your career, you will co-author your first protocols and statistical analysis plans (SAPs) with support from the RWE lead. You will grow into owning the statistical design and analysis of whole studies. If you are more experienced, you will own that from the start. The bar on statistical rigour is the same for both.

• Turn clinical questions into study designs: estimand, target population and index date, comparator, confounding strategy, bias assessment, sample size and power.
• Work with clinicians and the sponsor's medical team to define outcomes, exposures and covariates. Check that what you measure in the data matches what they mean in practice.
• Specify the…