Shape the Face of Cancer Treatment at Luminate Medical
At Luminate, our mission is to make cancer care more human. We design and build technologies to help oncologists make cancer care better for patients.
Our first two products, Lily and Lilac, are revolutionary wearable devices designed to address hair loss and peripheral neuropathy respectively – two of the most common and difficult side effects of cancer treatment. We have an exciting pipeline focused on building products that help cancer patients to live, not just survive. Our latest product Lotus enables at-home administration of low-risk anti-cancer drugs.
We’re looking for a Senior Research Scientist to be a leading contributor to the science behind our technologies, devices, and services. This is an exciting opportunity to be part of a multi-award-winning team and play a decisive part in the research and development of life changing technologies. Above all, you will need to enjoy working in a fast-paced environment, be passionate about working with people, and thrive in taking responsibility for delivering projects on-time to make a real-world patient impact.
Working at Luminate Medical
- This is a key early hire at a rapidly growing company. You will have an opportunity to shape the development of multiple high-impact patient-facing products and gain first-hand insights into the growth of a start-up.
- We offer a highly competitive salary comparable with multinational medical device companies, a flexible benefits package (including health insurance and pension), alongside a company laptop, headphones and camera.
- We believe in quality of life in our products and for our people, and offer flexible working hours, and a generous holiday policy.
What You Will Do
As a Senior Research Scientist, you will be a key driver of our innovation pipeline, working on projects that directly impact patient care. Your responsibilities will include:
- Leading translational research from concept to conclusion: This includes initial literature reviews, basic research, hypothesis formulation, and rigorous experimental design and execution.
- Executing complex experiments and overseeing data collection, ensuring meticulous recording and data integrity.
- Performing advanced data analysis and interpretation, translating raw data into actionable insights, valid inferences, and scientific conclusions.
- Communicating findings effectively through detailed technical reports, internal presentations, and contributions to regulatory submissions or publications.
- Collaborating across functions, serving as a key scientific link for translational research to the device development team members, including; to R&D engineers, quality, regulatory and clinical.
- Mentoring junior colleagues and contributing to the overall scientific strategy and high standards of the research group.
Personal Attributes – The Ideal Candidate Is:
- Open: A proactive team player who seeks to help develop your teammates. You are willing to adopt, engage with and shape company culture in a positive manner. You can give and receive candid feedback in a constructive and positive manner.
- Communicative: Superb written and verbal communication, and collaboration skills. You are able to
communicate complex scientific ideas clearly and persuasively to diverse audiences (e.g., engineers, clinicians, business leaders). You have excellent technical report writing, and data presentation skills.
- Self-Driven: You have a sense of urgency in your work and thrive when taking responsibility for tasks.
- A Natural Problem-Solver: Driven by scientific curiosity and a genuine passion for creating solutions to complex medical challenges.
- An Interdisciplinary Thinker: Able to naturally connect concepts from physiology, pharmacology, and medicine to principles in physics and engineering.
- A "Hands-On" Scientist: Equally comfortable designing an experiment, analysing a complex dataset, or brainstorming a mechanical solution with an engineer.
- Meticulous and Organized: Demonstrates outstanding attention to detail, rigorous scientific practice, and the ability to manage multiple projects simultaneously.
Requirements – The Ideal Candidate Must Have
- Advanced Education: A PhD (or equivalent industry experience) in field(s) that bridge medicine and technology, such as Medicine, Veterinary Medicine, Pharmacy, Pharmaceutical Science, Biomedical Engineering, Medical Physics, Physiology, Engineering, or related disciplines.
- Experience: 6+ years of translational research experience in fields as listed above.
- Interdisciplinary Expertise: A deep, demonstrable knowledge of human anatomy, physiology, medical science, and through to engineering.
- Proven Research Skills: Significant experience in a translational research role, with a strong track record of designing, executing, and analysing experiments.
- Engineering Acumen: The proven ability to leverage medical and biological knowledge into engineering principles to create novel solutions or devices.
- Evidence of Appropriate Research Achievement (e.g., peer reviewed papers, patents; as appropriate).
- Evidence of Early-Stage Project Experience: experience of working on an initial medical device/ pharmaceutical project from conception through to prototyping and proof-of-concept or beyond.
Experience Advantages – It Would Be Advantageous to Have:
- Oncology Focus: Direct experience in oncology, particularly understanding chemotherapy, antibody-drug conjugates (ADCs), or the management of treatment-related side effects.
- Medical Device Experience: Prior experience in a medical device R&D or research environment, especially with wearable devices, therapeutic devices, or patient monitoring systems.
- Pharmaceutical Experience: Prior experience in a pharmaceutical research environment especially in computer modelling of pharmaceutical properties – for example PK/PD properties.
- Regulatory Awareness: Experience working within a regulated environment (e.g., ISO 13485, FDA QSR).
- Clinical Awareness: Experience in clinical trial design including endpoint selection, data gathering, data analysis.
- Technical Skills: Experience with biophysical modelling (e.g., thermal, mechanical), biosensor development, advanced signal processing, and relevant software tools such as MATLAB or R.

