Join our journey to help deliver data-guided dosing
that is safe, effective, and personalised to every patient.
Check out our career opportunities below.
Pharmacometrician / Pharmacokinetic modeller
Job title: Pharmacometrician / Pharmacokinetic Modeller (ref: VS-005344-HR) Salary and benefits: £40,000 - £60,000pa + option packages competitive and negotiable. Employee benefits include: NEST workplace pension, private health insurance, salary sacrifice schemes (home tech., bicycles and electric car), independent industry-leading HR and Health & Safety services (ensuring your personal and professional wellbeing) and regular company socials. Location: We operate in brand-new labs and office space within The London Cancer Hub’s Innovation Gateway in South West London (Sutton). We are fortunate to be located within a flourishing scientific ecosystem, operating at the interface of cutting-edge academic research (Institute of Cancer Research, ICR) and clinical practice (Royal Marsden NHS Foundation). This provides you the unique opportunity to see your ideas, developments and products put into real-world use on your doorstep. Furthermore, our London-based location coupled with cross-UK collaborations ensures you experience a nationwide perspective of MedTech and digital health innovation. We promote a hybrid and flexible working policy. In our experience, team wellbeing and quality of work both benefit from physical co-location. Therefore, we all commit to working a portion of each week at the Innovation Gateway (typically between 3 and 4 days). Contract type: Full-time, permanent employment (part-time optional). About Vesynta: How does a doctor choose the most effective (and least toxic) dose, personalised for an individual patient? This decision is critical, particularly when treating children with cancer. Your skills could contribute toward making this dose selection process safe, fast and more widely available. We are developing a toolkit that, for the first time, will enable clinicians dosing life-saving therapies (incl. chemotherapies, antibiotics and immunosuppressants) to map the unique pharmacokinetics of their patients at the point-of-care; using this information to rapidly identify the optimal dose, for each and every patient. This technology rights the inconsistency and unpredictability introduced via the coarse “one-size-fits-all” dosing approach historically adopted in drug label-informing clinical trials. It ensures that no-matter one’s age, body-shape, ethnicity, health status or co-medications; a precise and tailored dose is prescribed. So how does Vesynta help? We combine hardware and software, classed as in-vitro diagnostic medical devices, that deliver data-guided precision dosing via bedside patient monitoring. Having spun-out of University College London, we work with clinicians, patients and academics across the UK, Europe and the USA, to establish this important healthcare innovation into clinical practice. Our work has been recognised and awarded for its vision and impact, including funding from prestigious grant competitions (Innovate UK, NIHR i4i) and private equity. We welcome you to join our journey to deliver data-guided dosing, that is safe, effective, and personalised to every patient. You will be joining a growing team driven by core values: patient first, innovation, quality, equity and integrity. These values define a collaborative and agile working culture where technology development routinely consults key clinical and quality stakeholders, ensuring our innovations are fit for purpose and deliver maximum patient benefit. Role description: Your role contributes to our mission to develop industry-leading innovations that democratise precision dosing for every patient, by placing holistic clinical decision support in the hands of healthcare professionals. This mission has the power to improve health outcomes and the quality of life for vulnerable patients in an equitable manner, delivering deep pharmacological insight that is unbiased by economic or geographic status. You will operate within the clinical pharmacology division of the R&D team. It involves applied pharmacometrics including population pharmacokinetic (PK) and pharmacodynamic (PD) modelling building on exposure-response datasets. Your models form an integral part of our clinical software solution that will deliver personalised treatments in clinical practice. Support will be provided by senior team leads, internal clinical advisors and collaborators from globally renowned research institutions. This will aid your decision making and data interpretation, applied to real-world patients across a variety of disease areas. You will have the opportunity to lead pharmacometrics processes and techniques within the team, combined with strategic business exposure, to develop models for both product development and guide use-case prioritisation. You will work alongside our software developers to ensure your models are useable and scalable. Our team is growing, presenting opportunities for progression, autonomy, and growth opportunities. Your work partakes in award-winning projects, ensuring you and your deliverables will benefit from nationwide recognition. Key responsibilities: •Leading model development for paediatric oncology, adult oncology and antimicrobial clinical areas •Work with data collected from clinical trials to derive plasma drug concentrations for application of precision dosing strategies •Accountable for data integration, analysis, interpretation, and reporting of results via verbal and written communication to internal and external (peer-reviewed) audiences •Collaborating with back-end and front-end software development team for model integration •Use of models to influence go/no go decisions and support projects within new disease domains •Contribute to regulatory documents and interactions •Contribute to internal initiatives to develop the pharmacometrics discipline including its processes Candidate experience: Essential: •Experience in population pharmacokinetic modelling or other complementary pharmacometric statistics •Experience of using simulation software such as R, Python, NONMEM, etc •Strong commitment to the study of clinical pharmacology and model-informed treatment personalisation Preferable: •Publication record in peer-reviewed journals •Presentation of work at scientific meetings •PhD in a relevant science subject •Experience in pharmacodynamic modelling •Experience in data structuration and pipeline engineering •Early phase clinical pharmacology experience Point of contact: Dr Jugal Suthar How to apply: Please email us your CV and motivations for applying to email@example.com, including the following reference: “VS-005344-HR” to begin the conversation. Closing date: 09 January 2023 Process: 1. Internal screening: applicants invited to Stage 1 interviews based upon CV. 2. Pre-interview questionnaire: prior to interview, the applicant will be asked to complete an administrative questionnaire. 3. Stage 1 interviews: interview, via video call (approx. 30 mins). General discussion of candidate’s experience. 4. Portfolio review: submission and internal review of portfolio in preparation for Stage 2 interviews. 5. Stage 2 interviews: interview, in person (approx. 1 hour). Assessment of specific technical competencies and a chance to meet the wider team. References: References will be followed-up and reviewed prior to job offer. Start date: Monday, 09 January 2023 (date negotiable) LinkedIn post: https://www.linkedin.com/jobs/view/3344983807