At a Glance
- Tasks: Develop innovative data science and AI solutions to support clinical development.
- Company: Join Amgen, a leading biotechnology company dedicated to serving patients worldwide.
- Benefits: Flexible work options, generous rewards, and opportunities for personal and professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in healthcare by applying cutting-edge data science techniques.
- Qualifications: Master’s degree in a relevant field and experience with R, Python, and machine learning.
The predicted salary is between 63000 - 77000 £ per year.
If you feel like you’re part of something bigger, it’s because you are. At Amgen our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us.
What you will do
In this vital role you will develop and apply innovative data science, machine learning (ML), and artificial intelligence (AI) solutions to support Clinical Development and advance therapies for patients. You will act in support of the Data Science function within the Center for Design & Analysis, partnering with cross-functional teams to deliver data-driven insights that align with study objectives and enable informed decision-making. You will continuously expand your expertise in emerging AI and ML technologies, including generative AI, while applying your growing knowledge of pharmaceutical research and clinical development to solve complex business and scientific challenges.
Responsibilities:
- Develop and apply mathematical, statistical and data science, ML and AI models, algorithms and software tools to support Clinical Development. Align assigned analyses with study objectives, clearly explaining the context, rationale, and recommended guidance.
- Develop and contribute well-documented workflows, reusable components, and analytical solutions using established best practices.
- Continuously build expertise in emerging AI frameworks and algorithms, including generative AI and machine learning, and apply them to classical business programs such as planning, forecasting, and operational excellence to support stronger decision-making.
- Adopt Domain knowledge i.e. Pharma, clinical data development during the first few months of hiring.
- Build and apply stochastic process, probability, statistical and forecasting models for modeling clinical trial operations that help clinical and operational decisions.
- Use standard analytics or ML and AI methods with guidance and produce reliable inputs and outputs.
- Work with clinical operations databases and other relevant data sources; prepare, clean, validate and document analysis-ready datasets.
- Develop, test and maintain reproducible analytical code and model components using statistical and programming software such as R, Python and SQL.
- Translate modelling outputs into practical insights for trial planning, enrolment/screening forecasts, operational monitoring and scenario evaluation.
- Collaborate with UK Data Science colleagues and cross-functional partners in clinical development, operations, programming, statistics and digital/data platform teams.
Accountabilities:
- Deliver high-quality modelling, forecasting and analytical outputs that support clinical trial operational decisions.
- Ensure data handling, modelling, testing, documentation and communication are reproducible, transparent and aligned with quality and compliance expectations.
- Contribute to the development and implementation of modelling capabilities within the UK Data Science team.
- Take ownership of agreed deliverables while escalating risks, assumptions and limitations appropriately.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. What we seek in you as an experienced professional, are these qualifications and skills:
- Master’s degree in Mathematics, Statistics, Operations Research, Computer Science or other scientific or technical discipline.
- Internship or early career experience in the pharma or high-tech industry.
- Strong capability in R and/or Python; familiarity with SQL, data manipulation, reproducible workflows, version control, testing and documentation.
- Experience with probability and/or stochastic process models, simulation, forecasting, advanced statistics or machine learning and AI methods.
What you can expect of us
As we work to develop treatments that take care of others, so we work to care for our teammates’ professional and personal growth and well-being.
- Vast opportunities to learn and move up and across our global organization.
- Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act.
- Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits.
LOCATION: Ability to work flexibly from home with regular office work either from our Cambridge or Uxbridge next generation workspace.
Equal Opportunity Statement
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Data Scientist in Uxbridge employer: Amgen
Amgen in Uxbridge is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the biopharmaceutical sector. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to quality and compliance that empowers them to make a meaningful impact on clinical trials. With a focus on employee well-being and a supportive environment, Amgen stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Uxbridge
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Amgen. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Amgen!
We think you need these skills to ace Data Scientist in Uxbridge
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Amgen that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Amgen.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Amgen does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Amgen
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Amgen. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Amgen's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Amgen. This shows your passion for the industry!