Research Multi-Informatics Analyst, Senior Scientist

Research Multi-Informatics Analyst, Senior Scientist

As one of the world’s premier pharmaceutical companies, our mission is centered on delivering life-changing products that advance world health and help fight and cure disease. We’re constantly pushing the boundaries of science to deliver life-changing medicines to patients across key therapeutic areas including oncology, immunology, respiratory, inflammation and autoimmunity, cardiovascular and metabolic disease, and infection and vaccines. We offer a broad range of therapeutics with a unique and strong collaborative network as part of the AstraZeneca family. AstraZeneca has a dynamic environment that fosters collaboration and innovation. We attract top minds, and we nurture and build top talent.

We are seeking a highly innovative and motivated scientific leader to join the Advanced Translational Programs group as a Research Multi-Informatics Analyst.

Accountabilities

You will drive and support our dedicated spatial biology team within Advanced Translational Programs and work with Translational Pathology, Computational Pathology, Genomics, Proteomics, Bioinformatics and our wet lab to build confidence in patient selection strategies, delineate mechanism of action/resistance and therapeutic differentiation. This position will have a shared focus on enabling the digital transformation of our pathology strategies, through interfacing with key informatics and data management stakeholders as well as leading projects generating digital pathology and multimodal data in collaboration with pathologists and computer scientists within the department and across the organization.

The Advanced Translational Programs is embedded within Early Oncology and works in close collaboration with Discovery groups, Translational Medicine, Functional groups and Bioinformatics to ensure that strategies for the treatment and cure of disease are based on accurate analyses of oncology mechanisms. The incumbent will apply image analysis and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology digital pathology research for programs in clinical development. For this position, we are seeking a demonstrated scientific leader with a consistent and outstanding record of creativity and performance in digital pathology or spatial ‘omics for cancer biology R&D, evidenced by peer reviewed publications in top tier journals, patent applications, and/or publicly available code repository.

What you'll do:

AstraZeneca seeks an experienced MD, DVM, PhD or MD/PhD scientist with the experience in discovering/developing insights from the analysis of tumors and tissues into testable clinical hypothesis, particularly as they relate to immuno-oncology and antibody-drug conjugates. You will have the unique opportunity to join a cross-functional team of pathologists, image analysts, bioinformaticians and translational medicine scientists. Using the latest imaging technologies and analysis tools, you will be responsible for developing an understanding of the tumor contexture and how it relates to sensitivity and resistance to AstraZeneca’s clinical stage oncology pipeline. Your insights and analysis will help drive the long-term translational for our promising early and late-stage programs.

Design, implement, and maintain bioinformatics pipelines for handling large-scale multimodal data.

Automate and streamline workflows for efficient data processing, including quality control, alignment, filtering, and annotation.

Harmonize and normalize data across various sources to ensure consistency and robustness in analysis.

Apply best-in-class data integration methods for multi-omics datasets and ensure scalability, reproducibility, and reliability in your workflows.

Collaborate with teams across disciplines—bioinformaticians, wet-lab scientists, and clinical researchers—to deliver actionable insights that drive research forward.

Create clear, interactive visualizations and summary reports to communicate complex biological findings to diverse stakeholders.

You will have the opportunity to work on high-throughput data types, such as RNA-Seq, scRNA-Seq, spatial transcriptomics, and clinical data, in a collaborative environment. Your contributions will be integral to advancing our understanding of disease biology and improving clinical outcomes.

Essential Skills/Experience

• M.D., Ph.D., M.D./Ph.D., DVM/PhD, or Masters, preferably in a relevant field (e.g. computer science, computational biology, bioinformatics, molecular biology, cancer biology) with at least 2-7 years of industry or academic experience in research and development. Training in multimodal data analysis is desired.
• A proven track record in developing bioinformatics pipelines for high-throughput biological data (e.g., genomics, proteomics, transcriptomics).
• Expertise in data preprocessing, quality control, and integration of multimodal data.
• Advanced programming skills in languages such as Python or R, with a strong understanding of data manipulation and pipeline automation.
• Experience with data visualization tools (e.g., ggplot2, matplotlib, Plotly) to interpret and communicate complex biological results.
• Knowledge of cloud-based or HPC environments, and proficiency in version control systems (Git) and containerization tools (Docker).
• Strong collaboration and communication skills, with the ability to convey complex findings to both technical and non-technical audiences.

Desirable Skills/Experience

• Familiarity with multi-omics integration and systems biology approaches.
• Experience working with clinical datasets or clinical bioinformatics.
• A deep understanding of molecular biology and high-throughput experimental techniques.

AstraZeneca offers an environment where you can work at the forefront of science to change the practice of medicine. With one of the broadest Oncology pipelines in the industry, you will have opportunities to work on novel molecules at all stages of development. Our collaborative culture empowers you to take smart risks while challenging norms to shape the future of Oncology.

Join us in pushing the boundaries of science to make a meaningful difference for patients worldwide!

The annual base pay for this position ranges from $108,757.60 - 163,136.40. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.  In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. 

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 authorisation and employment eligibility verification requirements.