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- Tasks: Develop AI-driven solutions to enhance workflows in the life sciences industry.
- Company: Join Parexel, a leader in biopharmaceutical services dedicated to improving global health.
- Benefits: Enjoy competitive salary, private healthcare, dental insurance, and generous holiday.
- Why this job: Make a real impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: BSc or Master's in Engineering/Computer Science with a focus on Machine Learning.
- Other info: Structured career pathway with excellent support and growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
Parexel Sheffield, England, United Kingdom
Direct message the job poster from Parexel
Principal Recruitment Specialist @ PAREXEL | Clinical Research
Parexel is in the business of improving the world’s health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values, Patients First, Quality, Respect, Empowerment & Accountability.
This role will work within our Scientific Data Technology department, an innovative team that will build and deploy AI-driven solutions to improve workflows across Parexel and the life sciences industry. The team partners with the business to build best-in-class AI-driven solutions when nothing suitable exists.
This role is based in the UK and can be either office-based in Sheffield or fully home-based in the UK. The offices are open plan, and you will be working in an innovative and collaborative environment with international peers and colleagues.
As the AI Solution Developer I, you will leverage Palantir Foundry to develop and implement production-ready machine learning and AI solutions for high-impact areas in Parexel’s business. You will design, develop, and deploy applications, ML models and data pipelines within the Foundry ecosystem, and work collaboratively with data engineers, software developers, product managers, and business stakeholders to develop ML solutions from research to POC to production.
Key Accountabilities:
- ML and Gen AI Technology in Foundry
- Leverage Palantir Foundry to build and deploy reusable custom machine learning models, ontologies and end-user applications
- Design, implement, and document new ML/Gen AI modeling techniques and strategies
- Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
- Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
- Applied ML POCs and Experimentation
- Support development of custom models and AI / Gen AI solutions using Foundry\’s ML capabilities to address business needs
- Lead experiment and model evaluation design based on best practices in ML to ensure safe, effective, and principled AI development within Foundry
- Carry out AI solution prototyping and experimentation using Foundry\’s tools, various LLMs and environments
- AI-based Production Solutions
- Collaborate with Product to define and implement features to satisfy customer requirements within Foundry
- Design and develop high-quality AI-based production pipelines, workflows and applications in Foundry
- Participate in planning and check-in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective
- AI Expertise, Education, and Advocacy
- Act as an AI and Foundry advisor across Parexel
- Software Engineering
- Develop front-end software and user experiences using the latest application programming frameworks, libraries and languages with focus on Palantir’s Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.)
- Education
- Educated to BSc. or Master’s level in Engineering or Computer Science with a focus on Machine Learning or other equivalent qualification/experience
- Skills
- Experience in Palantir Foundry, its ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
- Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
- Proven CS fundamentals including data structures, algorithms, and distributed systems
- Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
- Proven software engineering fundamentals, including the ability to write production-ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
- Knowledge of Python and scientific computing packages (PyTorch, NumPy, scikit-learn, TensorFlow)
- Experience with data modeling and pipeline development in Palantir Foundry
- Experience with frontend development for intuitive user experience
- Practical understanding of database technologies including relational, non-relational and graph
- Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor
- A flexible attitude with respect to work assignments and new learning
- Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail
- Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value teamwork
- Knowledge And Experience
- Intermediate experience with Foundry (Workshop, Pipeline-builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub
- Intermediate experience with RESTful JSON API endpoints
- Intermediate experience with Azure and Docker
- Experience producing high quality code in a shared context
- Up to date with state of the art in Machine Learning (and Gen AI techniques/models)
- Experience contributing to delivery of value-driven production-quality AI solutions and models
- A strong interest and passion for Machine Learning and Generative AI
In return we will offer a structured career pathway and encouragement to develop within the role, including awareness and understanding of the industry. You will be well supported, and for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance, and other benefits typical of a top CRO.
Apply today to begin your Parexel journey!
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Research, Science, and Analyst
- Industries: Pharmaceutical Manufacturing, Biotechnology Research, and Hospitals and Health Care
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AI Solution Developer I employer: Parexel
Contact Detail:
Parexel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Developer I
✨Tip Number 1
Network like a pro! Reach out to current employees at Parexel on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your AI and machine learning knowledge. Be ready to discuss how you've used these technologies in past projects, especially in relation to Palantir Foundry.
✨Tip Number 3
Show your passion for the industry! During interviews, share your thoughts on recent advancements in AI and how they could impact the life sciences sector. This will demonstrate your enthusiasm and commitment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at Parexel.
We think you need these skills to ace AI Solution Developer I
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Solution Developer I role. Highlight your experience with Palantir Foundry, machine learning, and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for Parexel. Don’t forget to mention our values like Patients First and Quality, and how they resonate with you.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or professionally, make sure to include them. We love seeing practical applications of your skills, especially in machine learning and AI. Share links or descriptions that demonstrate your expertise!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Parexel
✨Know Your Tech
Make sure you brush up on your knowledge of Palantir Foundry and its components. Be ready to discuss how you've used it in past projects, especially in building ML models and applications. This will show that you're not just familiar with the tools but can also leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in machine learning or AI projects. Think about times when you had to adapt recent research into practical solutions. This will demonstrate your ability to think critically and apply your knowledge in real-world scenarios.
✨Collaborative Spirit
Since this role involves working with various teams, be ready to talk about your experience collaborating with non-technical stakeholders. Highlight any instances where you successfully communicated complex technical concepts to a diverse audience, as this is key in a collaborative environment.
✨Passion for Learning
Express your enthusiasm for machine learning and generative AI. Share what you've been learning recently or any projects you're excited about. This shows that you're not just looking for a job, but are genuinely interested in growing within the field and contributing to innovative solutions.