Senior Statistician

Senior Statistician

The DISC, Cambridge, UK

Competitive salary with excellent benefits

Are you an experienced statistician looking for an exciting new challenge? Then why not join our Data Sciences & Quantitative Biology team within Discovery Sciences where you will play a key role in statistical and computational support for pre-clinical drug discovery. We work collaboratively towards a common goal, pushing the boundaries of science, by applying our quantitative skills to complex biological problems to deliver new medicines to patients.

Learn more about our Data Sciences & Quantitative Biology department here: https://pages.beamery.com/astrazeneca/page/quantitativebiology or watch our film to get to know the team better: A Life-changing day - Meet our Quantitative Biology team at AstraZeneca.

What you will do

You will primarily work on the design and analysis of in-vitro cellular experiments. We work closely with our lab scientists to identify and validate drug targets, calculate drug responses, understand mechanism of actions and develop novel cellular assays for preclinical studies. Typically, we use CRISPR technology to knockout genes and measure the effects (e.g. through image analysis) of how this causally alters cells. You will join a multi-disciplinary collaborative team of data scientists and biologists to deliver AstraZeneca’s preclinical pipeline.

• Design or influence the design of experiments (DoE) to deliver robust data that will guide decision-making.

• Deliver analytical solutions to address key biological questions using quantitative approaches.

• Explore and find opportunities where statistics and data science can make valuable contributions.

• Collaborate and communicate efficiently with experimentalists and other data scientists. Ensure high quality experimental design, trustworthy data, and explainable processes and results.

• Participate in publications, presentations and academic collaborations.

​Essential skills/experience

• PhD, Postdoc or equivalent industrial experience in statistics, mathematics, data science, bioinformatics or a similar subject area.

• Experience in designing experiments.

• Experience with statistical modelling and data analysis.

• Programming experience with relevant computational tools such as R, Python, or similar.

• Strong interdisciplinary communication skills.

Desirable skills/experience

• Design of Experiments (DoE), experienced with JMP or similar software before.

• Familiarity with biological data and information types and analytical approaches aimed at deriving insights from them.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we play an essential role in helping patients who need it the most. Our high exposure roles allow us to be recognized as experts working at the forefront of science. We shape end deliverables and embrace global opportunities across all of AstraZeneca's Therapy Areas. With a restless need to keep improving, we are always moving forward and searching for something new. Our supportive yet challenging approach makes for an inspiring learning environment where every setback is seen as a chance to improve.

Ready to make a difference? Apply now to join our team!

We encourage your application before 20th December 2024.

Date Posted

04-Dec-2024

Closing Date

20-Dec-2024

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.