Introduction to the Role: At AstraZeneca, we work together across global boundaries to discover, develop, manufacture and market prescription medicines that make a positive impact on the lives of patients as well as their families and communities. At AstraZeneca Oncology, our vision is redefining cancer ;
redefining our solutions to cancer and restoring patients' lives. Our mission is to make a meaningful difference to patient health through great medicines that bring benefit for patients and add value for society.
In addition to our passion for the discovery of innovative new medicines, we understand the importance of flexibility in our work-life environment and we offer a wide variety of benefits, services and program me s that provide our employees the resources they need to pursue not only their work goals but also their life goals. We are dedicated to building strong research teams that embrace the diversity of talents of team members and allow the larger group to grow and learn together to
accomplish
our collective goal to improve human health.
About the Role: We are
seeking
a flexible and highly motivated Senior Research Scientist to join our Omics team in Cambridge. This is an exciting opportunity for a scientist who enjoys both hands-on laboratory work and data analysis, and who is enthusiastic about applying a broad omics toolkit to drug discovery challenges.
This role will encompass wet-lab genomic, transcriptomic and single-cell sequencing workflows, together with the associated data processing, quality control,
analysis
and interpretation. The ideal candidate will combine strong experimental skills with a keen interest in working with complex datasets to generate high-quality insights.
You will work collaboratively with scientists across disciplines to develop, implement and refine workflows, generate robust data, and translate results into clear scientific conclusions that support project progression. You will bring strong laboratory capability, sound scientific
judgement
and a passion for generating,
interrogating
and interpreting high-quality datasets.
You will also
have the opportunity to
explore and apply emerging AI-enabled and computational approaches, where
Information from public records, not immigration advice.
The salary is an estimate from national earnings data, not the employer's figure.
Why
In favour: Licensed for Skilled Worker
AstraZeneca UK Limited is on the register with an active Skilled Worker route (Worker (A rating)).
Home Office register of licensed sponsors
In favour: Occupation is eligible for Skilled Worker
Occupation code 2113 (Biochemists and biomedical scientists) is eligible for the Skilled Worker route on the rules in force from 11 Nov 2025.
Immigration Rules Appendix Skilled Occupations
Against: Estimated salary is below the going rate
No salary is stated, so this uses an estimate of £43,790 from ASHE estimate (low end of the senior band) (1 Apr 2025). It falls £2,110 short of the going rate for occupation code 2113 of £45,900. Because that salary is estimated rather than stated, this rule counts half.
Immigration Rules Appendix Skilled Occupations
In favour: A rating on the licence
The register shows “Worker (A rating)”, the rating a licence carries when it is not on an action plan.
Home Office register of licensed sponsors
In favour: A larger employer
Companies House records accounts of category “FULL”, filed by companies above the small-company thresholds.
Companies House
Not established: The advert says nothing about sponsorship
We searched the advert for the usual wording in both directions and found none of it.
The advert itself
Home Office register of licensed sponsors snapshot
and interpret datasets generated from omics experiments, ensuring accuracy,
reproducibility
and clear documentation.
Work flexibly across platforms and projects, contributing to both experimental delivery and downstream data analysis depending on business need s .
Collaborate with multidisciplinary teams to design experiments, interpret
findings
and communicate results clearly and effectively.
Maintain awareness of developments in genomics, single-cell technologies, AI-enabled data analysis,
automation
and computational approaches, and
identify
opportunities to strengthen team capability and improve workflow efficiency.
Drive personal development and
actively expand technical and scientific
expertise
across both experimental and data-centric aspects of the role.
Essential Skills: PhD in a relevant discipline, such as molecular biology, genomics, bioinformatics, computational
biology
or a related field; or a BSc/MSc combined with significant relevant industrial laboratory,
genomics
or bioinformatics experience.
Strong practical experience in genomic, transcriptomic and/or single-cell sequencing workflows, including biological sample preparation, NGS library preparation, assay
execution
and method optimisation .
Proven experience in quality control, analysis and interpretation of complex sequencing and omics datasets .
Bioinformatic skill s
including knowledge of
relevant omics data-analysis tools and pipelines, together with
proficiency
in Python and/or R, scripting, data
visualisation
and statistical analysis.
Interest in emerging AI-enabled and computational approaches for supporting analysis, interpretation and productivity in an omics setting.
Ability to work effectively across experimental laboratory activities and downstream computational analysis, with an understanding of how experimental design and assay performance influence data quality .
Flexible and collaborative mindset, with enthusiasm for working across multidisciplinary teams and contributing to evolving project and business priorities.
Strong communication , organisational,
analytical
and problem-solving skills, with the ability to explain scientific findings and data-driven conclusions clearly to both technical and non-technical audiences
Desirable
Skills : Experience in one or more of the following environments: drug discovery, oncology,
biotechnology
or
translational research .
Practical exposure to AI/ML-assisted analysis approaches,
scripting
or computational tools relevant to biological and sequencing da ta.
Interest in applying emerging AI-enabled and computational approaches to support data interpretation, workflow
efficiency
and scientific productivity .
Experience with automated or semi-automated laboratory workflows, including liquid-handling platforms, workflow standardisation or automation of sample processing and assay delivery.
Why AstraZeneca: Join a science-driven organisation where bold ideas turn into life-changing medicines through evidence, speed and collaboration. You will work with a deep and diverse oncology portfolio, using cutting-edge omics, AI and automation alongside colleagues who bring unexpected teams into the same room to unleash bold thinking. We value kindness alongside ambition, empowering you to take smart risks, challenge the status quo and learn fast—so your contributions translate rapidly from experiments to patient impact. So, whats next? Bring your omics expertise to Cambridge and help redefine what’s possible in targeted oncology—step forward to shape data into decisions that improve patients’ lives. We look forward to receiving your CV and cover letter. As soon as we receive them, we will proceed accordingly. 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 26-Aug-2026 Closing Date 12-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.
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