Senior Scientist, Clinical Genomics Research, Hematology R&D at AstraZeneca

AstraZeneca, a leading global biopharmaceutical company driven by science, is dedicated to discovering, developing, and delivering innovative medicines and healthcare solutions that enhance patients' lives. The vision of AstraZeneca Oncology is to redefine cancer treatment and restore patients' lives.

At Hematology R&D, we are committed to advancing science to deliver life-changing medicines to patients in need. Our pipeline focuses on six scientific platforms—Immuno-Oncology, Tumor Drivers and Resistance, DNA Damage Response, Antibody-drug Conjugates, Cell Therapy, and Epigenetics—to address unmet clinical needs in hematological cancers. We strive for scientific discovery and collaboration to help eliminate cancer as a cause of death. This unit manages the value chain from discovery to late-stage development, enabling rapid acceleration and lifecycle management programs.

Main Duties and Responsibilities

Data Analysis and Modeling: Develop and refine data models to analyze multimodal data effectively. Establish predictive and/or prognostic models with multimodal risk stratification. Critically assess and perform due diligence on third-party data.

Strategic Decision Support: Contribute key insights from data-driven analysis to inform crucial go/no-go decisions and empower strategic planning. Translate complex analyses into actionable recommendations to steer the company's direction.

Data Asset Development: Generate and curate essential data assets, enhancing analytical capabilities and supporting the research infrastructure.

Collaborative Research: Collaborate with clinical researchers in designing and executing studies, providing expert analytical support for genomic, epigenomic, and RNA-sequencing data interpretation.

Effective Communication: Present findings to scientific, regulatory, and clinical stakeholders by translating complex concepts into detailed reports and presentations for diverse audiences. Contribute to oncology through presentations at conferences and publications in high-impact journals.

Required Skills

Demonstrated experience working with large multimodal datasets, including NGS data, and deriving/assessing clinical utility.

Proficiency in statistical programming languages such as R or Python, and development of interactive documents like Shiny apps. Familiarity with Unix and working with cloud infrastructure.

Experience with machine learning frameworks and statistical modeling.

Understanding of statistical methods such as time-to-event data analysis, particularly in oncology clinical research.

Preferred Qualifications

Experience in epigenomics, liquid biopsy, and MRD and related diagnostic assays.

Training in biostatistics.

Track record of interfacing with clinical stakeholders.

Minimum Requirements

Ph.D. in a relevant field or Master's degree with 4+ years of relevant experience.

Proven track record of handling, analyzing, and extracting valuable insights from large and complex datasets.

Excellent communication and data presentation skills.

Expertise in R and/or Python programming and visualization.

Familiarity with the UNIX environment and high-performance computing environments.

Skilled in conveying complex data to non-experts and working in cross-disciplinary science teams.

Ability to manage multiple simultaneous projects.

Enthusiasm in applying analytical methods to complex biological problems.

Experience contributing to research through publication, conferences, and code sharing.

Diversity and Inclusion at AstraZeneca

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team with a wide range of perspectives and industry-leading skills. We comply with all applicable laws and regulations on non-discrimination in employment, as well as work authorization and employment eligibility verification requirements.

Work Environment and Location

Our Waltham, Massachusetts facility is dedicated to groundbreaking small-molecule research in North America. Located at the Gatehouse Park Bio Hub, just west of the city center, our BioHub facility fosters life science discoveries and idea exchange. Our amenities include a fitness center, healthcare clinic, cafeteria, and electric vehicle charging stations, with newly-designed workspaces to promote collaboration and innovation.

Additionally, we are excited to move to Kendall Square/Cambridge in 2026, positioning us at the heart of one of the world’s most vibrant research centers.

Find out more information .

Application Timeline

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