Senior Scientist, Research Informatics & Data Science
About this opportunity
Senior Scientist, Research Informatics & Data Science
Bioinformatics, In Silico Sciences & Automation (BIX) Biologics Engineering (BE) Location: Cambridge, UK
Introduction to the Role:
We are seeking an experienced and highly motivated informatics and data science professional to accelerate the digital transformation of Biologics Engineering by building the data, software, and automation foundations that enable next-generation scientific workflows.
This role sits at the intersection of bioinformatics, software engineering, data science, laboratory automation, and AI. The successful candidate will partner closely with scientists, automation engineers, data scientists, and IT teams to develop robust, scalable, and user-centric solutions that improve data capture, automate workflows, and establish FAIR data foundations for AI-driven biologics discovery and development.
The position combines hands-on technical delivery with scientific partnership and will play a key role in enabling foundation builds, workflow automation, data products, and emerging AI capabilities across the Biologics Engineering ecosystem.
Key Responsibilities:
Apply scientific informatics expertise to address complex challenges across bioinformatics and data science in laboratory environments.
Translate biologics drug discovery workflows into automated processes, scalable digital products, and user-centred solutions that improve research efficiency and data quality.
Integrate research systems by connecting laboratory instruments, automation platforms, FAIR data repositories, and scientific applications such as Genedata Biologics.
Develop scientific software including applications, APIs, services, and user interfaces using
Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake that support analytics, machine learning, and AI.
Apply AI and agentic development practices to rapidly prototype tools and visualisation capabilities that enhance lead selection and decision-making in drug discovery campaigns.
Collaborate across disciplines with scientists, automation engineers, product owners, AI specialists, and IT teams to deliver robust and impactful solutions.
Essential Qualifications:
PhD, MSc, or equivalent industry experience in Bioinformatics, Data Science, Computer Science, Software Engineering, Computational Biology, Engineering, or a related discipline.
Experience developing software solutions using Python and modern engineering practices.
Experience designing data pipelines and integrating heterogeneous scientific data sources.
Strong understanding of laboratory research environments and data generation workflows.
Experience working directly with scientists and technical stakeholders to deliver real-world solutions.
Demonstrated ability to translate ambiguous scientific needs into practical digital products.
Preferred Qualifications:
Experience with laboratory automation platforms and instrument integrations.
Knowledge of cloud-based data platforms and modern data engineering approaches.
Experience developing APIs, workflow orchestration systems, or scientific web applications.
Experience applying machine learning, generative AI, or advanced analytics in scientific environments.
Familiarity with FAIR data principles and research data governance.
Experience working within agile product teams.
Success Measures:
Within the first 12-24 months, the successful candidate will:
Deliver foundation data products that support AI-enabled biologics discovery.
Establish automated data flows across key laboratory workflows.
Reduce manual scientific data handling through automation and integration.
Increase availability of FAIR, reusable research data.
Deliver production-quality software used by scientists across multiple BE functions.
Contribute to scalable platforms supporting Digital, Automated, and AI-Driven Biologics Engineering.
Why AstraZeneca?
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 outstanding world.
So, what’s next!
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Don't delay, apply today!
Where can I find out more?
Our Social Media,
Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Date Posted
07-Sep-2026
Closing Date
24-Sep-2026
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.
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 114 comparable Senior Biostatistics & Data Science roles across 27 biopharma companies.
Salary context
54 of 114 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 114 comparable roles
+ 9 more countries
Seniority mix
114 of 114 peers have a known seniority level
Therapeutic area mix
10 of 114 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.