Senior Epidemiologist

Title: Senior Epidemiologist / Pharmacoepidemiologist & RWE Programmer

At Inovia Bio, we believe that drug development is in dire need of disruptive thinking.

The current ecosystem supporting biopharmaceutical companies is typified by slow, archaic incumbents that extract as much value as possible from drug developers while often delivering utter garbage. We’re changing that!

From the way data is used to make early decisions through to how development plans can be accelerated and de-risked, there are significant opportunities to get drugs to patients faster. Your role will be central to our mission of revolutionising drug development.

Who are we?

Inovia Bio is a TechBio Startup based in London. We partner with innovative biopharmaceutical companies by providing both our proprietary technology platforms and expertise to deliver unprecedented impact to their programmes. We are the company drug developers dream of working with—and the company CROs dread.

An Atypical Role

The Senior Pharmacoepidemiologist & RWE Programmer at Inovia operates differently.

We believe that accelerating and de-risking drug development can only be achieved through data-driven strategy… and so do you!

Internal Product Development

“You’re tired of the manual, repetitive, and expensive model of drug development”

• You will partner with engineering to develop novel tools that significantly impact the drug development process.

• You will be hands-on with vast multimodal data and generate your own ideas for what else we should be building.

Working with Our Partners

“You’re passionate about drug development and see opportunities where others don’t”

• You will collaborate with Inovia’s partners to support drug development programmes using your RWE expertise.

• You’ll provide strategic options and approaches that the team may have missed—and be ready to execute on them.

Design and Analyse Studies

“You’re excited to get your hands dirty and can look at data through a novel lens”

• You will design and analyse both proof-of-concept and regulatory-grade non-interventional studies.

• You’ll view data through a unique perspective and identify hidden opportunities.

Who We’re Looking For

Technical Skills

1. Everyone in the medical team at Inovia codes – so do you!

You are proficient in SQL + either R or Python and can run complex analyses.

2. You have expertise in epidemiology and RWE.

You hold anadvanceddegree in epidemiology and have experience delivering end-to-end RWE studies.

3. ICD, GPI, HCPCS, and SNOMED are second nature to you.

You have experience working with secondary data and large RWE datasets.

4. You’ve written Protocols, SAPs, TFLs, and CSRs.

You are proficient in developing and executing all aspects of a study.

5. You don’t just read regulatory guidance—you predict where it’s going.

• You stay ahead of evolving regulatory perspectives on RWE, synthetic controls, and pragmatic trials.
• You can anticipate where the FDA, EMA, and MHRA are heading and shape strategies accordingly.

6. To you, drug pipelines read like symphonies.

You have a deep understanding of the pharmaceutical development landscape.

7. You’re excited by recent FDA announcements on pragmatic trials and RWE.

You have a strong grasp of regulatory requirements and the current opportunities in drug development.

8. You’ve had (and won) debates about external validity.

You understand the nuances of generalisation in RWE studies and can argue both sides of a methodological decision.

9. Messy data doesn’t scare you – it excites you.

• You’re adept at cleaning, structuring, and harmonising real-world data.
• You know that the quality of insights depends on the quality of the data.

10. You understand that models are only as good as their assumptions.

• You can critically assess epidemiological and statistical models, ensuring biases and confounders are accounted for.
• You’re comfortable with methodologies like propensity score matching, inverse probability weighting, and instrumental variable approaches.

11. You don’t just analyse data—you translate it into strategy.

You can distil complex analyses into clear, actionable insights for regulatory agencies, internal teams, and external partners.

12. Your response to “can you develop this external control arm study?” is: hold my beer.

You can autonomously execute rigorous studies but also know when collaboration is key.

13. You know that ‘real-world data’ isn’t just one thing.

• You’ve worked across claims, EHR, registries, patient-reported outcomes, and more.
• You understand the strengths and limitations of each data source.

14. You know when a real-world study is the answer—and when it’s not.

You can identify when another approach (e.g., modelling, meta-analysis, or a new trial) is needed.

15. You believe in impact, not just publications.

Publishing is great, and you’ve done it—but what excites you is seeing RWE shape drug development strategies.

Personal Attributes

1. You’re eligible to work in the UK.

You also know how to discuss the weather for at least six minutes before every call.

2. You can summarise the key points of a CSR in three slides.

You’re a fantastic communicator who understands what is important to which audience.

3. You say no to terrible ideas—and provide an alternative.

You have no problem challenging bad ideas while developing a better solution.

4. You recognise that collaboration is critical to success.

You’re excited to work across engineering, medical, and commercial teams to develop new products and ideas.

5. Learning is a core part of who you are.

You continuously seek to develop new skills, both within and beyond your field.

6.You have strong opinions, loosely held.

No idea is sacred—you challenge confidently and accept feedback gracefully.

7. In God we trust – all others must bring data.

You are profoundly data-driven and believe that the right data trumps experience.

What We Offer

We’re a fast-paced, venture-backed startup making outsized impacts for our partners.

Will you join us on our journey?

1. Competitive salary

2. Stock options

3. Private health insurance

4. Hybrid work environment

5. Rapid progression opportunities

6. Zero political work culture

7. Learning budget