Principal Data Scientist
About this opportunity
Principal Data Scientist
Position Purpose
The Principal Data Scientist is responsible for driving advanced analytics, data engineering, application development and AI solutions across TechOps. This role provides technical leadership for strategic data initiatives that improve operational performance, enable digital manufacturing and support data-driven decision making.
Data Engineering & Platform Leadership
Design, build and maintain scalable enterprise data platforms and data products using Databricks, AWS and cloud-native technologies.
Architect robust data pipelines for ingestion, transformation and delivery of structured and unstructured data.
Establish data engineering standards, development frameworks and best practices across TechOps.
Ensure data quality, integrity, security and governance requirements.
Advanced Analytics, AI & Generative AI Solutions
Lead the design and deployment of advanced analytics, machine learning and Generative AI solutions supporting TechOps objectives.
Develop AI-enabled applications using LLMs and RAG frameworks.
Establish monitoring, governance and lifecycle management practices for AI solutions.
Application Development & Digital Solutions
Lead development of enterprise analytics applications using Python, React, Power BI and R Shiny.
Design and develop APIs and integration services.
Ensure modern engineering practices including testing and CI/CD.
Technical Leadership & Strategy
Define and execute TechOps analytics and digital solution roadmaps.
Lead complex cross-functional projects from concept through production deployment.
Drive standardisation and reuse of analytics assets and frameworks.
People Leadership & Capability Building
Mentor Data Scientists, Data Engineers and Analytics Developers.
Conduct technical reviews and promote engineering excellence.
Required Skills & Experience
Advanced experience with Databricks and cloud analytics platforms.
Strong proficiency in Python and SQL.
Extensive experience designing scalable data pipelines and platforms.
Experience developing enterprise applications and APIs.
Experience with Power BI.
Experience delivering AI or Generative AI solutions in production.
Understanding of data governance, security and architecture principles.
Qualifications, Skills & Experience
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Analytics or related discipline.
7-10+ years experience in data analytics, data engineering, software development or digital solution delivery.
Experience leading complex cross-functional analytics initiatives.
Experience in manufacturing, biotechnology or regulated industries preferred.
About CSL Behring
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.
CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/ .
Our Benefits
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL .
You Belong at CSL
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging
Equal Opportunity Employer
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement .
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 98 comparable Principal Biostatistics & Data Science roles across 23 biopharma companies.
Salary context
52 of 98 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 98 comparable roles
+ 5 more countries
Seniority mix
98 of 98 peers have a known seniority level
Therapeutic area mix
13 of 98 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.