Senior Scientist, Bioinformatics

AstraZeneca; Cambridge (MA); On-site; USD 116,000 - 174,000; Full time

Benefits offered by this job

Short-term incentive bonus

Equity-based long-term incentive (Sarb

401(k) plan

Paid vacation and holidays

Health benefits

Job summary

AstraZeneca in Cambridge, MA, invites applications for a Senior Scientist, Bioinformatics - Proteomics, to lead MS-based pipeline development and data platforms. You will design scalable omics models, automate analyses, and collaborate with chemical biology teams to derive biological insights.

Join a multi-disciplinary group within QuBi at Kendall Square, contributing to data governance, FAIR principles, and AI-enabled analytical methods for decision support.

Qualifications

• PhD or equivalent research experience in a relevant field.
• Strong grounding in statistics of high-dimensional omics data.
• Experience in bioinformatics and reproducible analytical workflows.
• Experience with cloud platforms (AWS or Azure).
• Designing scalable omics data models and applying FAIR data principles.
• Programming in R and/or Python with software development practices.
• Experience with Nextflow or Snakemake and containerized workflows.
• Proficiency with Git and collaborative software development.
• Ability to work independently with multidisciplinary teams.
• Strong communication skills for complex concepts.

Responsibilities

• Workflow development and automation for MS-based proteomics.
• Design, implement, and maintain end-to-end proteomics pipelines (DDA/DIA, TMT/iTRAQ, SILAC).
• Wrap tools into portable, versioned workflows using Nextflow or Snakemake.
• Develop tools and workflows with metadata and execution standards.
• Containerize environments (Docker, Kubernetes) and deploy on HPC or cloud.
• Establish software engineering practices: versioning, testing, CI/CD, docs.
• Data modeling and storage design for raw/processed data and provenance.
• Apply FAIR data principles and governance with IT/security.
• Build searchable result databases (Snowflake/PostgreSQL) and interfaces (Shiny/Streamlit).
• Perform proteomics analyses linking chemistry biology and metadata.
• Collaborate across teams to enable AI-enabled data workflows.

Skills

Proteomics analysis

Workflow development

Data analysis

Python

R

Nextflow

Snakemake

Docker

Kubernetes

Git/GitHub

Cloud computing

Communication

Education

PhD in bioinformatics, computational biology, proteomics, biostatistics, data science, computer science, or related discipline

Tools

Nextflow

Snakemake

Docker

Kubernetes

Snowflake

PostgreSQL

Job description

Make a meaningful impactonpatients’ lives around theworld

At AstraZeneca, we are combining cutting-edge science, data, and artificial intelligence to transform how we discover and develop medicines. As part of Data Sciences and Quantitative Biology (QuBi) this role will work in close collaboration with a group of chemical biology and proteomics scientists supporting therapeutic areas across AstraZeneca, offering a unique opportunity to contribute to and apply new digital and AI capabilities.

Based at our new Kendall Square site in Cambridge, Massachusetts, you will work at the intersection of mass spectrometry-based (MS) proteomics and computational biology, helping to build the data platform and analytical foundations that allow scientists to explore high‑throughput proteomics and emerging molecular assays. This is a hands‑on scientific and technical role for someone who combines strong proteomics expertise with practical bioinformatics, data science, and workflow development skills to deliver robust analyses, workflows, and tools that scientific teams can rely on.

As Senior Scientist, Bioinformatics - Proteomics within QuBi, you will:

• Workflow development and automation

• Design, implement, and maintain end-to-end MS-based proteomics analysis pipelines (DDA and DIA; label‑free, TMT/iTRAQ, SILAC) for the processing, analysis, interpretation, and visualization of high‑throughput proteomics data.

• Wrap and orchestrate tools into portable, versioned workflows using Nextflow or Snakemake.

• Develop tools and workflows with the interfaces, metadata, and execution standards needed to support reuse by emerging agentic and AI‑enabled systems.

• Containerize tool environments (Docker, Kubernetes) and deploy pipelines to HPC (Slurm) and/or cloud compute.

• Establish software engineering practices for the group — version control, code review, unit and regression testing, CI/CD, documentation, and release management.

• Data management and infrastructure

• Design and maintain a proteomics data model and storage strategy for raw files, intermediate results, processed matrices, and analysis provenance.

• Apply FAIR principles and appropriate data governance, access control, and retention policies in collaboration with IT/security.

• Build searchable result databases (using Snowflake/PostgreSQL) and interfaces (using R Shiny, or Streamlit).

• Analysis and scientific collaboration

• Perform proteomics analyses integrating chemical biology and experimental metadata to generate biological insight.

• Apply domain expertise in MS-based proteomics to support study design, data interpretation, quality assessment, and biological insight generation, particularly in support of chemical biology applications.

• Contribute to the development of scalable analytical methods and digital capabilities, including AI‑enabled and agentic approaches, to support scientific discovery and decision‑making.

Required qualifications

• PhD in bioinformatics, computational biology, proteomics, biostatistics, data science, computer science, or a related discipline, or equivalent research experience.

• Solid grounding in the statistics of high‑dimensional omics data

• Demonstrated experience in bioinformatics and data analysis, with the ability to develop and apply reproducible analytical workflows for complex biological datasets.

• Experience with cloud platforms (such as AWS or Azure), covering core concepts like virtual machines, storage buckets, and basic cloud networking.

• Experienced in designing scalable omics data models and in applying FAIR data principles and data governance.

• Experience with programming and data analysis in languages such as R and/or Python, and familiarity with scientific software development best practices.

• Experience in building reproducible workflows with a pipeline framework (Nextflow, Snakemake) and containers in Linux environment.

• Proficiency with version control (Git/GitHub) and collaborative software development practices.

• Ability to work as an independent scientific contributor while collaborating effectively across multidisciplinary teams.

• Strong communication skills, with the ability to explain complex scientific and technical concepts to diverse audiences and support adoption of analytical solutions.

Preferred qualifications

• Demonstrated experience analyzing MS‑based discovery proteomics data, with practical command of at least one major search/quantification platform (FragPipe, DIA‑NN, Spectronaut, Proteome Discoverer, or equivalent).

• Experience developing or applying machine learning and AI for scientific data analysis, interpretation, or workflow automation.

• Experience in multi‑omics analysis is a plus

• A track record of scientific innovation demonstrated through publications, conference presentations, open‑source contributions, software products, or deployed analytical tools in bioinformatics, AI, or data science.

How we do it

At AstraZeneca,we’rededicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There’sno better place to make a difference in medicine, patients, and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development.

The annual base salary for this position ranges from $116,284.00 to $174,426.00. However, 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) or to receive a retirement contribution (hourly roles). 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 salary (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.

• 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)
• qualified retirement program [401(k) plan]
• paid vacation and holidays
• paid leaves
• health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans

Date Posted

13-Aug-2026

Closing Date

30-Aug-2026

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.