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Parexel

Parexel

www.parexel.com

2 Jobs

20,844 Employees

About the Company

Parexel is among the world’s largest clinical research organizations (CROs), providing the full range of Phase I to IV clinical development services to help life-saving treatments reach patients faster. Leveraging the breadth of our clinical, regulatory and therapeutic expertise, our team of more than 24,000 global professionals collaborates with biopharmaceutical leaders, emerging innovators and sites to design and deliver clinical trials with patients in mind, increasing access and participation to make clinical research a care option for anyone, anywhere. Our depth of industry knowledge and strong track record gained over the past 40 years is moving the industry forward and advancing clinical research in healthcare’s most complex areas, while our innovation ecosystem offers the best solutions to make every phase of the clinical trial process more efficient. With the people, insight and focus on operational excellence, we work With HeartTM every day to treat patients with dignity and continuously learn from their experiences, so every trial makes a difference. For more information, visit parexel.com.

Community Guidelines
Because Parexel’s social media channels are open to the general public and employees, we are not responsible for views expressed other than our own. However, we do not tolerate posts that are:

• Abusive, harassing or threatening to others.
• Defamatory, offensive, obscene, vulgar or depicting violence.
• Hateful targeting by race/ethnicity, age, color, creed, religion, gender,
sexual preference or orientation, nationality or political beliefs.
• Sexually explicit or pornographic.
• Fraudulent, deceptive, libelous, misleading or unlawful.
• Referencing criminal or illegal activity.
• Spamming.

We reserve the right to remove any comments that do not adhere to our guidelines as well as report users who violate the rules of our page.

Listed Jobs

Company background Company brand
Company Name
Parexel
Job Title
Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician)
Job Description
**Job Title** Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician) **Role Summary** Provide statistical methodology, data analysis, and evidence synthesis expertise for health technology assessment (HTA) and access projects in the pharmaceutical sector. Lead analytical work from design to delivery, support cross‑functional teams, and ensure quality outputs that meet client and HTA requirements. **Expectations** - Deliver technical leadership in advanced analytics and meta‑analysis. - Mentor junior analysts and senior associates. - Maintain client relationships and project quality. - Stay current with HTA methodologies and evidence generation trends. **Key Responsibilities** - Design and develop study protocols, conduct network meta‑analysis, pairwise meta‑analysis, mixed treatment comparison, and indirect comparisons. - Plan and execute survival analysis, generalized linear models, Bayesian models, and meta‑regression. - Interpret and communicate results to clinical, commercial, and health‑economics teams. - Draft statistical documentation and support evidence generation for reimbursement submissions. - Identify evidence gaps, select data sources, and design robust evidence‑generation plans. - Collaborate with affiliates to integrate statistical insights into local HTA submissions. - Participate in methodology development and continuous improvement within the Evidence Chapter. - Maintain project efficiency, quality, and client satisfaction, and flag training needs. **Required Skills** - Advanced statistical and analytical skills (GLM, survival analysis, Bayesian methods). - Proficiency in R and GitLab; experience with SAS, Python, WinBUGS, JAGS or similar tools welcomed. - Strong research design, systematic review, and evidence synthesis expertise. - Excellent written and verbal communication in English. - Strategic thinking, collaboration, organization, and deadline management. **Required Education & Certifications** - Master’s or Doctorate in Applied Statistics, Health Economics, Biostatistics, Mathematics, or related quantitative discipline. - Minimum 3 years of hands‑on experience in the pharmaceutical industry, consulting, HTA/reimbursement agencies, or academia.
Uxbridge, United kingdom
Remote
Junior
10-12-2025
Company background Company brand
Company Name
Parexel
Job Title
AI Solution Developer II
Job Description
**Job Title** AI Solution Developer II **Role Summary** Design, develop, and deploy production‑ready AI and machine learning solutions on Palantir Foundry. Collaborate with data engineers, software developers, product managers and stakeholders to translate business needs into scalable ML pipelines, prototypes, and end‑user applications. Provide Foundry expertise and advocacy across the organization. **Expectations** - Deliver reusable custom ML models, ontologies, and applications within the Foundry ecosystem. - Apply best scientific practices to research, experiment and production delivery of AI solutions. - Maintain high engineering standards, ensure code quality, security, and scalability. - Serve as the go‑to advisor on Foundry‑based ML and generative AI strategies. **Key Responsibilities** - Build and deploy ML models, generative AI systems, and data pipelines in Palantir Foundry (Workshop, Slate, etc.). - Design research‑validated ML/Gen‑AI modeling techniques and document strategies. - Conduct POC experiments, model evaluations, and prototype AI solutions. - Team up with product managers to define features, coordinate planning, and manage roadmap for production solutions. - Review and refactor code and pipelines to improve quality, security, and performance. - Create front‑end user interfaces using modern frameworks (e.g., React) and Foundry UI components. - Educate and guide internal teams on Best‑Practice usage of Foundry for AI/ML workflows. **Required Skills** - Expertise with Palantir Foundry ecosystem, including Workshop App development, Modeling Objectives, code repositories, and pipelines. - Advanced knowledge of ML/Gen‑AI, including transformers, LLMs, NLP, time‑series, reinforcement learning, and graphical models. - Strong CS fundamentals: data structures, algorithms, distributed systems. - Proficient in Python and scientific libraries (PyTorch, NumPy, scikit‑learn, TensorFlow). - Experience designing data models and building data pipelines inside Foundry. - Front‑end development experience (React or equivalent) for intuitive user experiences. - Familiarity with relational, non‑relational, and graph databases. - Excellent communication skills—able to distil technical details for non‑technical stakeholders. **Required Education & Certifications** - Bachelor’s (BSc) or Master’s (MSc) degree in Engineering, Computer Science, or a related field with a focus on Machine Learning or Generative AI (or equivalent professional experience). ---
United kingdom
Remote
13-02-2026