Senior Scientist, Data Science
Job Title: Senior Scientist, Data Science
Location: Waltham, MA
About the Role
At AstraZeneca, we are exploring a bold new frontier in medical science: extending human healthspan. Our newly established Aging Research Group is leading this transformative initiative, focused on developing groundbreaking therapeutics that not only add years to life, but life to years.
We are seeking a highly motivated Senior Scientist with deep expertise in data science and bioinformatics to join our dynamic and growing team. This individual will play a critical role in mining and analyzing large-scale datasets to support target identification, mechanism of action (MOA) studies, and biomarker strategy development.
At AstraZeneca, you’ll have the opportunity to contribute meaningfully to the future of healthcare while working in a collaborative, fast-paced, and innovative environment.
Key Responsibilities
Analyze and interpret complex, large-scale biological datasets; develop and maintain scalable analysis pipelines.
Design and apply advanced analytical approaches and machine learning algorithms to discover novel therapeutic targets and biomarkers.
Collaborate with wet-lab scientists to design experiments and interpret data for target identification and MOA studies.
Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
Contribute to biomarker strategy development for current and future drug discovery programs.
Actively participate in cross-functional team discussions, providing data-driven insights to inform strategic decisions.
Stay abreast of developments in bioinformatics, data science, and aging-related research.
Required Qualifications
Ph.D. in Bioinformatics, Computational Biology, Data Science, or a related field with 1–4 years of post-graduate experience; or
M.S. with 3–5 years, or
B.S. with 5+ years of relevant experience.Minimum 3 years of experience analyzing large-scale biological datasets.
Proficiency in programming languages such as R, Python, or MATLAB.
Strong knowledge of statistical analysis and machine learning methods.
Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation, ChIP-seq, ATAC-seq).
Familiarity with proteomics and integrating multi-omics datasets.
Excellent problem-solving skills and strong attention to detail.
Proven ability to communicate complex data clearly across multidisciplinary teams.
Flexible and collaborative, with the ability to thrive in a fast-paced environment.
Preferred Qualifications
Prior experience in the pharmaceutical or biotechnology industry.
Familiarity with public databases and datasets related to aging biology.
Knowledge of in vivo models for healthspan and longevity.
A track record of scientific publications or patents in relevant disciplines.
Why Join AstraZeneca?
At AstraZeneca, we believe in pushing the boundaries of science to deliver life-changing medicines. Our work in aging and healthspan is a testament to our commitment to innovation, collaboration, and making a real difference in patients' lives.
We offer you the opportunity to:
Contribute to high-impact science at the intersection of aging and therapeutics.
Work with a team of world-class scientists in a supportive and inclusive environment.
Grow your career through continuous learning and diverse project exposure.
Benefits
We provide a competitive Total Rewards package that includes:
Base salary, annual bonus, and long-term incentive opportunities
Comprehensive health and wellness benefits
Generous paid time off and flexible working options
Learn More
Diversity and Inclusion
AstraZeneca is proud to be an equal opportunity employer. We value and embrace diversity and are committed to building an inclusive team that reflects a broad range of backgrounds, perspectives, and experiences.
If you require a reasonable accommodation for the application or interview process, or for performing essential job functions, please let us know.
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 authorization and employment eligibility verification requirements.
We’ll keep you up to date
