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About Early Clinical Biometrics

The Early Clinical Biometrics graduate programme is designed to provide you with the opportunity to support the design, execution, analysis and reporting of clinical studies as well as become future leaders in Biometrics.

This programme is offering permanent positions for statisticians and programmers. Graduates will receive both formal and on-the-job training and have the opportunity to network with other biometrics graduates and join the business-wide AZ graduate network.

Programme details

About Early Clinical Biometrics

Early Clinical Biometrics (ECB) are involved in the generation of evidence to determine whether promising compounds are good enough to progress to large pivotal trials. Therapy area aligned statistics groups work collaboratively with early clinical statistical programmers and data managers, together driving innovation to address the emerging challenges and opportunities within early drug development.

About the programme

  • The ECB graduate programme has 4 key elements: practical on-the-job experience, soft skills development, technical skills development, and a social graduate network.
  • You will undertake real work, collaborating with experienced staff.
  • You will have different learning experiences designed to broaden your skills and business understanding. These learning experiences may include a broad spectrum of biometrics activities from study design through to data analysis and reporting, exploratory analyses, publication work, literature reviews and support for department initiatives.
  • You will be supported with skills development relevant to your area of work, including technical skills (e.g. statistics, programming), communication and presentation skills, leadership skills and processes.
  • You will have a coach/mentor and will be encouraged to be members of relevant professional bodies.
  • You will be partnered with a more experienced team member as part of ECB’s buddy system to help support your transition from education to industry.
  • You will also have the opportunity to network with other biometrics graduates and join the business-wide AZ graduate network.

What you can expect

Through developing your expertise, you will have the opportunity to add value across a broad range of activities supporting early clinical development.  You’ll be part of a diverse and collaborative culture of support and development.

Our statisticians and programmers provide highly experienced strategic input, expertise and leadership to project teams in the design, analysis and interpretation of clinical studies. Some also lead strategic capability or business area improvements within the department and across AZ research and development.

Essential Requirements

Statisticians

  • MSc or PhD in Mathematics/Statistics (or equivalent)
  • Good collaboration, communication and influencing skills
  • Able to demonstrate leadership and team working
  • Good written and spoken English
  • Attention to detail, with an ability to see the ‘big picture’ at the same time
  • Passion for applying your statistical skills and an interest in pharmaceutical development

Programmers

  • BSc in Mathematics, Statistics, Computer Science, Life or Social Sciences (or equivalent)
  • Good collaboration, communication and influencing skills
  • Able to demonstrate leadership and team working
  • Good written and spoken English
  • Attention to detail, with an ability to see the ‘big picture’ at the same time
  • Statistical or database programming knowledge (preferably SAS), and awareness of database setup
  • Passion for applying your statistical or database programming knowledge and an interest in pharmaceutical development
Our team boasts some of the most respected Statistics, Statistical Programming and Data Management experts in the industry, focussed on outstanding programme design and delivery of the quality information we need to meet our drug project objectives which drive product development.

Meet our people

Anna Koulai

Anna Koulai

I joined AstraZeneca as a Senior Statistician in April 2018 after completing my PhD in Biostatistics at the University of Cambridge. I decided to leave academia and start working in the pharmaceutical industry because I was interested in exploring the challenges of the design and analysis of clinical trials data under tight timelines. After spending 4 years working on the same topic for my PhD, I really wanted to improve my multi-tasking skills and apply my knowledge of statistics to solve real-world problems.

During my first year in the company I have been involved in different Phase I/II studies in the oncology therapeutic area, as well as university collaborations. AstraZeneca focuses on an individual’s personal development and I have been encouraged to attend conferences and courses to develop my technical skills and familiarise myself with major trends and the challenges the pharmaceutical industry is facing.

Michael Allie

Michael Allie

I joined AstraZeneca in May 2017 as a bright-eyed, junior statistical programmer. One of the first things I realised in the industry is that technical programming expertise and a broad knowledge of clinical trial data, trial conduct and therapeutic areas are equally sought out skills, with programmers generally tending to specialise in either technical or non-technical areas. I was unsure of which direction to focus my development on: I love taking on complex coding tasks, I will always have an interest in statistics after completing a statistical degree and I’m constantly fascinated to learn more about the science that drives the medicine.

Thankfully, I’ve been given many opportunities to direct my personal growth. Some of my coding tools & utilities are shared around the department, last year I presented at a major industry conference for the first time and received an award, and I’ve very recently attended a machine learning course which has given me some ideas I’m itching to try out. My manager constantly encourages me to take on exciting projects to build and broaden my skillset and my colleagues are more than happy to answer questions generated by my limited experience in certain aspects of the role and appreciate the novel ideas and approaches to solving problems which come from a fresh perspective.

I can’t wait to see what interesting opportunities cross my path next at AstraZeneca.

Elisa Natale

Elisa Natale

I joined AstraZeneca 13 months ago as a statistical programmer. Since then, I have had the chance to prove not only my programming skills, but have also been given the chance to prove other skills: managing timelines, managing the work of contractors, having a say on study decisions such as those regarding analysis and reporting. I have also had the chance to work with an international team from other countries and continents. I have also been given the chance to grow and improve based on my interests, which are always listened to.

Jianxin Wei

Jianxin Wei

I joined ECD biometrics team as senior programmer in January 2018. Here is full of talented, friendly and supportive colleagues, and it is definitely a fantastic place to work. I have worked on several clinical studies. My main role includes collaborating with CRO experts to deliver high-quality data and output for two early phase cardiovascular trials; providing programming support for our innovative endpoints in respiratory trials; working with data management experts to find best solution for data storage and transfer, etc.

As a SAS programmer in Early Clinical, I not only have opportunities to advance my programming skills but also have great opportunities to develop my communication skills, leadership and build my network. I am so proud of being part of the Early Clinical Biometrics team, contributing my expertise to our rewarding, meaningful work - bringing great medicines to patients.

Lindsey Jung

Lindsey Jung

I began my time at AstraZeneca as a study statistician in August 2018 as part of the Early Clinical Biometrics. Prior to joining, I had just graduated from a MS program at Boston University. Since I wanted to be in an environment where I could surround myself with experts from all sorts of specialties, I was drawn to the pharmaceutical industry because of the highly interdisciplinary nature of the field. AstraZeneca’s values such as “We follow the science” and “We put patients first” resonated with me and my personal desire to use my passion and skillset to make a positive impact on society.

In the past few months, I have contributed to studies investigating the pharmacokinetics for a change in drug formulation and receptor occupancy in the brain and tumor. Through these study activities, I have had the chance to advise and give input on the statistical analysis plan and interim analyses, while planning for future key timepoints. In addition to those, I supported other projects with ad-hoc work such as tracking and reviewing final outputs.

One of the most exciting perks of my time here at AstraZeneca so far has been the concentrated focus on my personal development. As a graduate, fresh out of school and without much background in the clinical trial realm, all of the extra attention on my training has been indispensable to my growth so far. I am especially looking forward to attending an off-site seminar and taking an online course I have been approved for to supplement my everyday work. With the diverse assortment of duties, people, and indications, AstraZeneca has more than enough to keep me motivated and excited for the future of my career.

Wenjing Xin

Wenjing Xin

My name is Wenjing Xin. I am from China and I am working in Early Clinical Biometrics as a senior statistician. I joined the group 2.5 years ago and I indeed enjoy my time being part of the team.  Projects in Early Clinical Biometrics are dynamic with fast turnaround times, allowing you to experience different types of projects in a short period of time. My colleagues are from different countries with different backgrounds. They are open-minded, easy to approach to ask questions and kindly offer their help to each other. So Early Clinical Biometrics is a great team working together!

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