BioTalent Ltd

Principal Scientist - Non-Clinical PKPD (Contract) UK (Slough-based, VDI only - remote access provided) 12-month contract Full-time (37.5 hrs/week) £35.20-£47.92/hr (PAYE/LTD/Umbrella) We are supporting a global biopharma organisation seeking an experienced Principal Scientist, Non-Clinical PKPD to join their Early Clinical Development & Translational Sciences group on a 12-month contract . This role sits within the Quantitative Clinical Pharmacology function, which integrates PK/PD, systems modelling, clinical pharmacology, and DMPK approaches across the full drug development lifecycle. The position offers an excellent opportunity for a skilled pharmacokinetics/pharmacodynamics scientist to contribute to innovative drug development projects from preclinical through regulatory submission. Key Responsibilities Lead strategy and execution of non-clinical PKPD and GLP toxicokinetic studies. Provide scientific input into study protocols and regulatory study designs. Collaborate cross-functionally with Non-Clinical Safety, Bioanalysis, Clinical Pharmacology, and external CRO partners. Ensure delivery of high-quality data packages that meet GLP and regulatory submission standards. Analyse, interpret, and report PKPD/toxicokinetic study results; deliver reports and summaries for regulatory submissions. Effectively communicate interim and final results to project teams and stakeholders. Represent the function internally and externally, contributing to scientific reputation and best practices. Candidate Profile PhD, MSc, or BSc in pharmacology, quantitative pharmacology, pharmacokinetics/pharmacodynamics, DMPK, or related field. 5+ years' hands-on PKPD data analysis experience within pharma or CRO environments. Strong knowledge of pharmacology and drug mechanisms. Proven ability to design and deliver non-clinical PKPD studies and GLP toxicokinetics reports. Proficiency with Phoenix WinNonlin is essential; experience with modelling/simulation tools (e.g., Berkeley Madonna, R) a plus. Track record of regulatory submissions and/or scientific publications desirable. Strong communication skills with the ability to influence and collaborate in a matrix environment. Contract Details Duration: 12 months (potential extension). Hours: 37.5 per week (7.5 per day). Location: UK-based; virtual desktop infrastructure (VDI only). Candidate provides own equipment. Future office relocation to Surrey anticipated in 2026/27.

We are partnered with a global biopharmaceutical organisation dedicated to transforming the lives of patients and their families. With a strong commitment to delivering life-changing medicines for serious conditions - often where limited or no therapeutic options exist - this company combines a diverse portfolio of marketed therapies with a growing pipeline in oncology and neuroscience. Headquartered in Europe with operations, laboratories, and manufacturing facilities worldwide, they are driven by a patient-focused and science-led approach. This role will offer you: A leading position in driving data engineering initiatives across multiple Research & Development areas, including Clinical, Pre-Clinical, Non-Clinical, Omics, Real World Data, and more. The opportunity to design and optimise advanced data pipelines, models, and repositories using cutting-edge AWS technologies. Cross-functional collaboration with international teams of scientists, researchers, and stakeholders. A high-impact role supporting innovation in both neuroscience and oncology. Responsibilities: Lead the design, development, and maintenance of data pipelines for diverse R&D data sources. Create and optimise ETL/ELT processes for structured and unstructured data using Python, R, SQL, and AWS services. Build and maintain repositories and data warehousing solutions. Develop and maintain data quality frameworks, validation processes, and KPIs. Implement data versioning, lineage tracking, and regulatory compliance measures. Document data processes, architectures, and workflows in line with best DevOps practices. Collaborate with R&D researchers, data scientists, and stakeholders to deliver tailored solutions. Ensure compliance with global data privacy regulations such as GDPR and HIPAA. You will bring: Expert proficiency in Python, R, and SQL for data processing. Advanced knowledge of AWS services, particularly S3, Redshift, FSx, Glue, and Lambda. Strong skills in relational database design and modelling, with experience in NoSQL and Graph databases. Experience with containerisation (Docker, Kubernetes/EKS). Knowledge of healthcare data standards such as CDISC, HL7, FHIR, SNOMED CT, OMOP, and DICOM. Familiarity with big data technologies, MLOps, and model deployment. Bachelor's degree in a relevant field (Master's preferred) and 5-7 years' experience in data engineering, including work with healthcare, research, or clinical data.

We are working with a global biopharmaceutical organisation dedicated to transforming patient outcomes through pioneering research and development. With a strong focus on serious and complex conditions, this company combines advanced science, innovative technologies, and a patient-first approach to deliver new therapeutic solutions. This is an opportunity to join a collaborative, science-led team making a tangible impact on global healthcare. This role will offer you: The opportunity to work on diverse, high-impact data engineering projects across multiple research and development areas, including Clinical Trials, Omics, Real World Data, and more. Collaboration with international teams of researchers, data scientists, and stakeholders in a cross-functional setting. Exposure to cutting-edge cloud technologies, modern data architecture, and the latest in healthcare data standards. A meaningful role where your work directly supports the development of life-changing medicines. Responsibilities: Design, develop, and maintain data pipelines for diverse research datasets using cloud-based technologies. Create and optimise ETL/ELT processes for structured and unstructured data. Build and manage data repositories and warehousing solutions. Develop and implement data quality frameworks, validation processes, and KPIs. Ensure data traceability and regulatory compliance through versioning and lineage tracking. Collaborate with internal teams to understand data requirements and deliver scalable solutions. Maintain compliance with data privacy regulations such as GDPR and HIPAA. Document architectures, workflows, and data processes while applying modern DevOps best practices. You will bring: Strong proficiency in programming languages such as Python, R, and SQL, with experience in cloud-based services for data engineering. Solid understanding of relational databases, data modeling, and unstructured database technologies (e.g. NoSQL, Graph). Familiarity with containerisation (e.g. Docker, Kubernetes/EKS) and Agile working environments. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM) and relevant regulatory requirements. A Bachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, or related fields (Master's preferred). 3-5 years' experience in data engineering, including experience working with healthcare, research, or clinical data.

About the Company BioTalentis working with a tech-enabled Healthcare Market Research company with global presence. The company has seen steady growth and success since inception in 2000, with particular success last year allowing them to expand the Client Success Team. The Client Success Team supports their pharmaceutical and agency partners to deliver programs that enable them to reach and gather insights from their target HCP audience. Team Leadership: Manage your team's workload Instil a sense of client and project ownership among all team members Provide your team with advice and solutions across client management, research and project management questions and issues; be a sounding board for team members Line management responsibilities including training, mentoring, evaluating employees and assisting in career development; involvement in hiring Identify team members' strengths as well as weaknesses in order to give them the tools and needed training for developing and improving Work closely with senior leaders to address team and client service topics Work in alignment with the Sales teams to drive client expansion, retention and renewal Be a key player in inter-departmental communication Deliver own projects to a high standard, ensuring project goals are achieved on time and within budget, and high client satisfaction ratings are attained Client Management: Primary day-to-day contact for assigned clients and projects Ensure overall client satisfaction by providing a positive experience with effective and timely delivery of all research programs Lead kick offs, status meetings, brainstorming sessions, and strategy meetings to move business forward Understand clients market research needs Define project goals at the onset of each project Proactively provide recommendations across the company's market research services Lead and participate in client facing training sessions for primary market research and analytics platform Provide insightful recommendations to client's business questions Research: Ensure that the research methodology, instruments, and vendors for each assigned project are the best fit for achieving results Fully understand the client's business and project objectives for each assigned study Evaluate and optimize quantitative surveys created internally and externally Evaluate source data quality and accuracy; identify and resolve issues independently, escalate to client or internally when required Ensure tab spec for DP meets needs to deliver against project objectives; create tab spec as required Prepare reports developed from the research data collected when required Ensure agreed client deliverables meet project objectives, including dashboards, data files Please apply if you have similar experience in Healthcare Provider or Pharma Market Research and Analytics/HealthTech. Remote-first within the United States, option to work in Manhattan, NYC office if preferred. Unfortunately, the company cannot offer visa sponsorship.