AstraZeneca
Associate Principal Scientist, Data Science
AstraZeneca - Waltham, Massachusetts, United States, 02254
Work at AstraZeneca
Overview
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Overview
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
Associate Principal 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
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 Follow AstraZeneca on LinkedIn
Follow AstraZeneca on Facebook
Follow AstraZeneca on Instagram
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. Date Posted 30-Jul-2025
Closing Date 05-Aug-2025 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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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
Associate Principal 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
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 Follow AstraZeneca on LinkedIn
Follow AstraZeneca on Facebook
Follow AstraZeneca on Instagram
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. Date Posted 30-Jul-2025
Closing Date 05-Aug-2025 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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