At a Glance
- Tasks: Bridge AI-driven drug predictions with clinical reality in a collaborative environment.
- Company: Healx, an innovative AI-powered tech bio company focused on rare diseases.
- Benefits: Competitive salary, share options, flexible working, and personal development budgets.
- Other info: Hybrid working model with a supportive team and opportunities for career growth.
- Why this job: Make a real impact on drug discovery for patients with rare diseases.
- Qualifications: Experience in DMPK, strong data integration skills, and interest in safety data.
The predicted salary is between 60000 - 80000 £ per year.
About Healx
Healx is an AI‑powered tech bio company redesigning drug discovery. With over 10,000 rare diseases affecting 400 million people worldwide, 90% of patients lack approved treatments. Our mission is to pioneer a new generation of drug discovery to bring treatments to patients faster.
The Role
We are seeking a Translational Scientist (DMPK & Safety) to bridge AI‑driven drug predictions with clinical reality. This drug‑centric, highly collaborative role combines data generation and interpretation with shaping the non‑clinical path to the clinic. You will sit within our pharmacology team while working closely with tech, curation, and clinical teams to translate computational predictions into viable therapeutic candidates.
Key Responsibilities
- Study Design & Oversight: Provide technical peer review for DMPK and safety in vitro and in vivo study designs. Refine protocols to generate gold‑standard, actionable data.
- CRO Management: Act as the technical lead for external research partners and CROs.
- Data Reporting: Synthesise chemical, pharmacological, and PK data into high‑quality summary reports and pre‑clinical dossiers.
- Drug‑Centric Translation: Contribute technical expertise to develop an appropriate Target Product Profile (TPP) and align discovery programmes to long‑term patient needs.
- Strategic Triage: Support the Project Leader and pharmacology team in reviewing AI‑generated drug predictions, using DMPK and safety knowledge to identify the candidates most likely to succeed clinically.
- Cross‑Functional Connectivity: Bridge pre‑clinical, 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: Act as a trusted partner across teams, aligning scientific and strategic perspectives.
- High‑Quality External Delivery: Ensure CROs and partners consistently deliver strong, actionable data under your guidance.
- Knowledge Sharing: 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 WinNonlin or similar tools).
- Ability to integrate diverse datasets into clear scientific narratives.
- Experience using Electronic Lab Notebooks (ELN) and preparing technical reports and pre‑clinical 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 advantageous.
Working at Healx
Healx operates a hybrid working model with a modern Cambridge office. For this role, we ideally seek at least one day per week onsite. We offer flexible working arrangements, including part‑time options, to support individual needs and business goals. The team is collaborative, supportive, and committed to personal development and meaningful impact.
What’s On Offer
- Competitive salary, share options, 7% employer pension contributions, life insurance of 4 × base salary.
- Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days.
- Flexible and remote working options, home office set‑up allowance, and periodic in‑person team days.
- Enhanced family leave policies and flexible working practices.
- Personal learning and development budgets, regular career support.
- Opportunities to engage with rare disease patient communities and one paid volunteering day per year.
Translational Scientist (DMPK & Safety) in Cambridge employer: Healx
Healx is an exceptional employer, offering a dynamic and collaborative work environment in the heart of Cambridge. With a strong commitment to personal development and meaningful impact, employees benefit from flexible working arrangements, competitive salaries, and generous perks such as enhanced family leave policies and opportunities to engage with rare disease patient communities. Join us to be part of a pioneering mission that aims to revolutionise drug discovery for patients in need.
StudySmarter Expert Advice🤫
We think this is how you could land Translational Scientist (DMPK & Safety) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Healx or similar companies. Attend events, webinars, and meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your DMPK knowledge and understanding how it applies to drug discovery. Be ready to discuss how your experience aligns with Healx's mission and the role of a Translational Scientist.
✨Tip Number 3
Showcase your collaborative spirit! Highlight examples from your past where you worked cross-functionally, as this role requires bridging various teams. We want to see how you can contribute to a supportive and innovative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Translational Scientist (DMPK & Safety) in Cambridge
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Translational Scientist role. Highlight your DMPK experience and any relevant projects that showcase your ability to bridge AI-driven predictions with clinical realities.
Showcase Your Technical Skills:Don’t forget to mention your expertise in DMPK modelling tools like Phoenix WinNonlin. We want to see how you can integrate diverse datasets into clear scientific narratives, so include specific examples of your work!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out, and ensure your technical reports and pre-clinical dossiers are easy to read.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates about the role!
How to prepare for a job interview at Healx
✨Know Your DMPK Inside Out
Make sure you brush up on your DMPK knowledge before the interview. Be ready to discuss specific modelling tools like Phoenix WinNonlin and how you've used them in past projects. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you bridged gaps between technical and clinical teams, as this will demonstrate your ability to connect different perspectives.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around safety data and toxicology. Brush up on your knowledge of evaluating toxicology packages and identifying dose-limiting toxicities. Being able to articulate your thought process will impress the interviewers.
✨Align with Healx's Mission
Familiarise yourself with Healx's mission to redesign drug discovery for rare diseases. Be ready to discuss how your background and skills can contribute to this goal. Showing genuine interest in their work and how you can make an impact will set you apart from other candidates.
