Director, Translational Data Science, Haematology R&D

Job Title: Director Translational Data ScienceHaematology R&D
Location: Waltham MA

At AstraZeneca we pride ourselves on crafting a collaborative culture that champions knowledge-sharing ambitious thinking and innovation ultimately providing employees with the opportunity to work across teams functions and even the globe.

Recognizing the importance of individualized flexibility our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind providing space where teams can come together to strategize brainstorm and connect on key projects.

As AstraZeneca continues to put patients at the forefront of our mission we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here: Kendall Square Press Release

Introduction to Role:

The data science group within Hematology Translational Medicine is leading the application of advanced analytics and artificial intelligence to clinical and multi-omics data aiming to drive data-informed clinical development and discovery in hematology. Our team empowers cross-functional teams by transforming complex datasets into actionable insights across key areas including T-cell engagers (TCEs) CAR-T cell therapies small molecules and ADCs. By doing so we shape strategies for clinical trial design patient selection and the advancement of personalized medicine.

We seek a highly skilled and visionary Director or Associate Director to manage the hematology data science team responsible for shaping and executing the AI and data science strategy within our hematology pipeline. The ideal candidate combines technical mastery in machine learning and foundation models with deep experience in the analysis of clinical and molecular data from hematologic malignancy studies. Your expertise will critically inform decisions from early-phase trials to registration studies.

You will own the integration of novel data modalities across including genomic testing ctDNA and MRD develop and apply state-of-the-art AI and foundation models to large and complex clinical datasets and serve as an ambassador both inside and outside the organization.

Accountabilities:

• Manage a team who are developing applying and operationalizing statistical and AI-driven models across clinical and real-world datasets in hematologic malignancies.

• Work cross-functionally to deliver data that impacts decision making across our AstraZeneca Heme portfolio.

• Devise strategies for integrating and interpreting multimodal datasets to support our goal of making all data computable (clinical genomic transcriptomic proteomic imaging and liquid biopsy) to enhance understanding of patient response/resistance and biomarker development in hematology for assets especially TCE and CAR-T.

• Oversee and contribute to the application of foundation models (including transformers LLMs and multimodal AI) to support biomarker discovery response prediction and clinical trial optimization.

• Foster strong cross-functional partnerships with translational medicine clinical development and biostatistics to ensure data-driven approaches inform trial design patient stratification and asset development.

• Continuously innovate analytical workflows for large-scale high-dimensional clinical and molecular data ensuring analytical rigor reproducibility and interpretability.

• Mentor and develop a high-performing data science team cultivating excellence in scientific communication and collaborative problem-solving.

• Publish research in high-impact journals and represent AstraZeneca at key scientific meetings.

Essential Skills/Experience:

• PhD (or equivalent) in computational biology bioinformatics computer science biostatistics or closely related field plus industry experience (Director 6 years industry experience; Associate Director 4 years industry experience).

• Demonstrable expertise applying machine learning (including deep learning and foundation models) to clinical genomic and/or multi-omics datasets ideally in hematologic malignancies.

• Proven leadership analyzing and interpreting datasets generated from T-cell engagers (TCE) CAR-T therapies and liquid biopsy (ctDNA/MRD) platforms.

• Strong understanding of the clinical landscape and biology of hematologic cancers especially regarding patient stratification biomarker development and therapeutic response/resistance mechanisms.

• High proficiency in statistical programming (e.g. R Python) and experience leveraging high-performance and cloud computing environments.

• Exceptional communication skills with an ability to explain complex analytical findings to scientific clinical and business leaders.

• Track record of high-impact publications and/or open-source contributions in computational biology AI or oncology.

• Experience directly leading teams inspiring collaboration and executing on a vision in a fast-paced environment.

Desired Skills/Experience:

• Demonstrated experience or strong understanding of GCP-compliant practices for data analysis including the application of version control audit trails and standardized documentation in environments such as Python and R/RStudio.

• Demonstrated success in implementing integrated genomics and imaging datasets to achieve clinical value using AI.

• Experience with Agentic AI and desire to incorporate it into AZ workflows

• Knowledge of current best practices and emerging technologies for MRD and ctDNA analysis.

• Familiarity with regulatory and clinical operations aspects of late-stage hematology trials.

• Deep connections in the data science/AI and hematology communities through engagement in conferences consortiums or collaborative research.

Where can I find out more

• Our Social Media Follow AstraZeneca on LinkedIn AstraZeneca on Facebook AstraZeneca on Instagram US Footprint: Powering Scientific Innovation - YouTube

Total Rewards:

The annual base pay for this position ranges from $177520.00 to $266280.00.Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and 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.

AstraZenecais an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment assessment and selection process and may be requested by emailing.

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