Data Scientist, Digital and Data Science – Analytical Sciences

AstraZeneca; Santa Monica (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading biopharmaceutical company is seeking a Data Scientist to support digital solutions and data science applications within Analytical Sciences. This role involves enhancing analytical methods and collaborating with various teams to drive innovation in cell therapy development. The ideal candidate will have a strong background in data science, experience with cloud platforms, and excellent communication skills to convey complex insights.

Benefits

Retirement plan (401(k))

Paid vacation, holidays, and leaves

Health benefits including medical, dental, vision, and prescriptions

Qualifications

• 5 years with BS/BA or 3 years with MS/MA in relevant field.
• Experience with cloud data platforms like AWS or Azure.
• Proficiency in Python and SQL.

Responsibilities

• Support digital transformation programs to modernize analytical methods.
• Collaborate with assay development scientists on process development.
• Develop and validate data science applications.

Skills

Python

SQL

Statistical Modeling

Machine Learning

Data Visualization

Analytical Skills

Communication

Education

BS/BA in Data Science

MS/MA in Data Science

PhD in Data Science

Tools

AWS

Azure

Snowflake

Git

Scikit-learn

TensorFlow

PyTorch

Matplotlib

Seaborn

Plotly

Tableau

Power BI

Job description

Data Scientist, Digital and Data Science – Analytical Sciences

Join to apply for the Data Scientist, Digital and Data Science – Analytical Sciences role at AstraZeneca.

In AstraZeneca's Cell Therapy division, we follow the science to explore and innovate. We aim to treat, prevent, modify, and cure some of the world's most complex diseases. Our goal is to grow our pipeline and positively impact patients' lives globally. We are committed to making a difference by fusing data, technology, and scientific innovation to achieve breakthroughs. This role supports the Oncology R&D team in Clinical and Commercial production across multiple sites.

As a Data Scientist in Digital and Data Science within the Analytical Sciences department, you will support the development, testing, and validation of digital solutions and data science applications to improve analytical methods. You will contribute to laboratory digitalization, driving operational and data automation using suitable technologies to transform workflows. Collaborating with assay development scientists, you will help ensure process development, product characterization, and testing methodologies for engineered cell therapy products. You will work closely with the Process Sciences, Analytics, and Technology (PSAT) team, and the Quality team within Cell Therapy Development & Operations (CDTO), to build technical expertise for activities internally and with third parties. This position is based in Santa Monica, CA, reporting to the Associate Director, Analytical Sciences.

You Will:

1. Support digital transformation programs to modernize analytical methods, enhancing operational efficiency and data management.
2. Apply data science techniques to support laboratory digitalization, automate data processing, and improve analytical workflows.
3. Collaborate with assay development scientists on process development, product characterization, and testing for engineered cell therapy products.
4. Work with the PSAT and Quality teams to gather insights and align activities with broader cell therapy development goals.
5. Develop and validate data science applications, ensuring alignment with strategic goals and regulatory requirements.
6. Implement digital tools and data science techniques to boost productivity in Analytical Sciences, especially for cell therapy applications.
7. Contribute to project execution and manage external partnerships to meet milestones and deadlines.
8. Share technical expertise with team members and collaborators.
9. Stay current with advancements in digital solutions and data science in the biopharmaceutical industry.

You Have:

1. At least 5 years with BS/BA, or 3 years with MS/MA, or a PhD in data science, computational biology, bioengineering, or a related field with relevant post-graduate experience.
2. Experience with cloud data platforms (e.g., AWS, Azure, Snowflake).
3. Proficiency in Python and SQL; experience with C++ or other relevant languages is a plus.
4. Proven experience applying statistical modeling and machine learning algorithms (regression, classification, clustering) to complex datasets.
5. Knowledge of ML frameworks and libraries (Scikit-learn, TensorFlow, PyTorch).
6. Skills in data cleaning, preprocessing, and feature engineering.
7. Ability to create impactful data visualizations using tools like Matplotlib, Seaborn, Plotly, Tableau, Power BI.
8. Experience with version control systems, especially Git.
9. Knowledge of analytical bioassays, ICH guidelines, and cGMP requirements.
10. Understanding of Quality by Design (QbD), DOE, and statistical analysis in analytical method development.
11. Strong analytical skills and the ability to tackle ambiguous challenges.
12. Excellent communication skills to explain complex data insights to technical and non-technical audiences.

Our Benefits:

• Retirement plan (401(k))
• Paid vacation, holidays, and leaves
• Health benefits including medical, dental, vision, and prescriptions