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Translational Scientist; DMPK & Safety

Job in Newcastle upon Tyne, Newcastle, Tyne and Wear, SY7, England, UK
Listing for: Healx
Full Time position
Listed on 2026-06-04
Job specializations:
  • Engineering
    AI Engineer, Research Scientist, Data Science Manager
Job Description & How to Apply Below
Position: Translational Scientist (DMPK & Safety)
Location: Newcastle upon Tyne

Healx is an AI-powered tech bio company redesigning drug discovery. With over 10,000 rare diseases affecting 400 million people globally – and 90% lacking approved treatments – our mission is to pioneer a new generation of drug discovery to bring treatments to patients faster.

We combine data, artificial intelligence and deep pharmacology expertise to develop therapies more efficiently and cost‑effectively than traditional approaches.

Diversity and inclusion sit at the heart of our mission to help people with rare diseases. We believe that building and empowering a diverse team is critical to achieving this goal. We welcome applications from people of all backgrounds and experiences.

Below, we outline the qualities we believe will help you succeed in this role. However, we recognise that skills can be transferable. If you're excited by our mission and values but don't meet every requirement, we still encourage you to apply.

Our Values
  • Care for rare – Patients are at the heart of what we do
  • Grow as individuals – We are continuous learners, always developing our expertise
  • Win as a team – We foster inclusion, celebrate successes, and learn together
  • Innovate and deliver – We move quickly, take thoughtful risks, and uphold high standards
The Role

We are seeking a Translational Scientist (DMPK & Safety) to play a critical role in bridging AI-driven drug predictions with clinical reality.

This is a drug‑centric, highly collaborative role where you will not only generate and interpret data but also shape the non‑clinical path to the clinic. You will sit within the pharmacology team while working closely with our tech, curation, and clinical teams to translate computational predictions into viable therapeutic candidates.

We are looking for someone with strong DMPK expertise who is eager to expand into a broader translational role – contributing strategically across the drug discovery lifecycle.

We encourage you to provide a covering letter to explain why you think you’d be successful in this role.

Key Responsibilities
  • Study Design & Oversight: Provide technical peer review for DMPK and safety in vitro and in vivo study designs. You’ll refine protocols to ensure we generate "gold standard," actionable data.
  • CRO Management: Act as the technical lead for our external research partners and CROs.
  • Data Reporting: Synthesise chemical, pharmacological, and PK data into high-quality summary reports and preclinical dossiers.
  • Drug‑Centric Translation: Contribute technical expertise to help the team generate and evolve an appropriate Target Product Profile (TPP), ensuring discovery programmes are aligned to the long‑term patient needs.
  • Strategic Triage: Support the Project Leader/Pharmacology team in reviewing AI‑generated drug predictions using your DMPK and safety knowledge to identify the candidates most likely to succeed in the clinic.
  • Cross‑Functional Connectivity: Bridge the gap between preclinical, tech, clinical, and commercial teams, providing insights on safety liabilities, drug exposure, and population suitability.
  • AI Impact: Proactively seek opportunities to use AI and advanced computational tools to generate and refine DMPK and safety knowledge.
Success Criteria
  • Integrated Decision‑Making: You are a trusted partner across teams, aligning scientific and strategic perspectives.
  • High‑Quality External Delivery: CROs and partners consistently deliver strong, actionable data under your guidance.
  • Knowledge Sharing: You contribute to a collaborative environment where decisions are grounded in robust DMPK and safety insights.
What we are looking for
  • Experience in DMPK within biotech or pharma.
  • Strong expertise in DMPK modelling (e.g. Phoenix Win Nonlin or similar tools).
  • Ability to integrate diverse datasets into clear scientific narratives.
  • Experience using Electronic Lab Notebooks (ELN) and preparing technical reports and preclinical dossiers.
  • Strong literature and database mining skills, particularly for safety data.
  • Experience or strong interest in interpreting non‑clinical safety and toxicology data.
  • Familiarity with evaluating toxicology packages and identifying dose‑limiting toxicities.
  • Experience in oncology and/or neurology is…
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