Oncology Biometrics: Information Practice Review
by AstraZeneca
Rating
-
Skills
5.0
-
Responsibilities
4.0
-
Support & Guidance
4.5
-
Culture
4.8
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Your Impressions
3.7
- 1. Please give an overview of your role and what this involves on a day-to-day basis.
- 2. Have you learnt any new skills, or developed your existing skills?
- How would you rate the training provided during your experience?
- How would you rate your development of industry-specific skills during the experience?
- How would you rate your development of personal / soft skills during the experience?
- Please rate how these skills have helped you in your career development
- 3. Were you given much responsibility during your placement / internship?
- Please rate how meaningful the work you were doing was
- 4. How much support and guidance did you receive during your placement / internship?
- How would you rate the support and guidance from your line manager?
- How would you rate the support and guidance from the wider team?
- 5. What was the company culture and general atmosphere like?
- How would you rate the inclusiveness of the culture?
- How would you rate the social opportunities?
- How would you rate the diversity initiatives?
- How would you rate the charity, sustainability and corporate social responsibility (CSR) initiatives?
- 6. To what extent did you enjoy your placement / internship?
- Please rate your level of enjoyment on your placement / internship
- Please rate how your experience met your expectations
- Please rate the future employment prospects at AstraZeneca
- 7. Would you recommend AstraZeneca to a friend?
- 8. What advice would you give to others applying to AstraZeneca
Overview
My role at AstraZeneca was within the Oncology Information Practice team, which assists other teams with finding information in a streamlined way. Example stakeholders I worked with included, data science (to test their AI information extraction tool), clinical teams (to find information sources about specific cancer mutations) and statistics (to build an AI tool seen below). I learnt a lot about cancer (specifically haemato-oncology), clinical trials, AI and python.
Skills
Python, AI, LangChain, Networking, Streamlit
Responsibilities
yes I led a python project for demonstration in an internal conference and the data science symposium
Support & Guidance
a lot, the team were very nice and all placement 西瓜视频s are given mentors.
Culture
really good, there are lots of opputinities to connect and network for early careers individuals and there are ERGs to build communities and there is a very fun, big christmas party.
Your Impressions
a big extent, a great balance between learning new skills and connecting/ being social, only downside is the workload is either very high or very low and can get boring.
Yes
its an amazing experience where you will learn a lot but its a big company so it you want a guaranteed return offer, chances are you're not going to find it here.
Details
Placement (10 Months+)
Data Science
North West
June 2025
