DATA SCIENTIST (BIOPHARMACEUTICAL DEVELOPMENT)

Ready to join a team at the forefront of transforming drug development and directly impacting patients' lives? We're looking for a dynamic and skilled Data Scientist to join us in accelerating the design and delivery of innovative medicines! As a Data Scientist, your primary responsibilities will include providing AI solutions and developing machine learning models to analyze diverse biomedical datasets and extract actionable insights.
You'll be a vital member of the Machine Learning and AI team embedded within the Biopharmaceutical Development (BPD) R&D, collaborating with experts across various disciplines to create, curate, and analyze datasets.
Leveraging your expertise in machine learning, quantitative analysis, and artificial intelligence, you'll pioneer data-driven solutions in biological drug development.
Our collective mission is to optimize and revolutionize R&D workflows, expediting the design and delivery of groundbreaking medicines to patients.
Join us in making a tangible difference in drug development and pushing the boundaries of innovation!   Accountabilities.
Developing and implementing predictive models for biologic drug developability and manufacturability assessment.
Applying machine learning techniques to analyze and interpret complex datasets related to biologic drug properties and structural characteristics.
Collaborating with cross-functional teams, including computational and structural biologists and chemists, to integrate data science solutions into drug development processes.
Staying updated with the latest advancements in machine learning, particularly in the context of healthcare and pharmaceuticals.
Communicating findings and insights effectively to stakeholders and contributing to decision-making processes.
Essential skills for this role.
M.
c.
in a relevant field (e.
., mathematics, computer science, engineering).
Strong proficiency in machine learning techniques including dimension reduction techniques, clustering, generalized linear models, tree-based models, and probabilistic models.
Strong programming skills in Python (Pandas, NumPy, SciKit, PyTorch).
Excellent analytical and problem-solving abilities with a keen attention to detail.
Effective communication skills and the ability to collaborate in a multidisciplinary team environment.
Desirable for the role.
PhD degree in a relevant field (e.
., mathematics, computer science, engineering).
Proven industry experience, preferably in the biopharmaceutical or healthcare sector.
Experience with advanced machine learning techniques, including large language models (e.
., BERT, GPT) and graph neural networks.
Familiarity with biologic drug properties, structural analysis, and drug development processes.
Experience working with high-performing clusters and cloud environments (AWS) Proficiency in code management and version control (Git).
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.
Why AstraZeneca? At AstraZeneca, we follow the science to explore and innovate.
We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases.
Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world.
We are committed to making a difference.
We have built our business around our passion for science.
Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.
It's our combination of curiosity and courage that drives us, inspired by the possibility of doing things that have never been done before.
Empowered to step up, we free ourselves from fear of failure to dig deep into the biology of complex diseases and make bold decisions.
Celebrating our successes and failures along the way.
AstraZeneca embraces diversity and equality of opportunity.
We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.
We believe that the more inclusive we are, the better our work will be.
We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.
We comply with all applicable laws and regulations on non- discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Are you ready to make a difference? Apply now and join us in our mission to revolutionize drug development! AstraZeneca embraces diversity and equality of opportunity.
We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.
We believe that the more inclusive we are, the better our work will be.
We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.
We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.