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Internship Bioinformatics Software Engineer Jobs in Cape Cod, MA

Massgeneralbrigham

Bioinformatician I

Boston, MA · On-site

$75K - $109K/yr

Demonstrated experience in infrastructure, programming languages and computational sciences. * Demonstrated ability working with open-source bioinformatics software. * Possess strong analytical ...

Silicon Labs

Software Engineer II

Boston, MA · On-site

Mentor interns and junior engineers while fostering a collaborative team culture. Skills You Need Minimum Qualifications * Bachelor's or Master's degree in Software Engineering, Computer Science ...

Silabs

Software Engineer II

Boston, MA · On-site

Mentor interns and junior engineers while fostering a collaborativeteamculture. Skills You Need Minimum Qualifications * Bachelor's orMaster's degree in Software Engineering, Computer Science ...

Massgeneralbrigham

Senior Bioinformatician

Boston, MA · On-site +1

$45.17 - $65.74/hr

... programming languages, and computational sciences. - Demonstrated ability working with open-source bioinformatics software. - Possess strong analytical skills, including critical thinking, data ...

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Internship Bioinformatics Software Engineer information

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$14

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How much do internship bioinformatics software engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship bioinformatics software engineer in Cape Cod, MA is $27.25, according to ZipRecruiter salary data. Most workers in this role earn between $22.16 and $30.91 per hour, depending on experience, location, and employer.

What does an internship bioinformatics software engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What are the key skills and qualifications needed to thrive as an internship bioinformatics software engineer?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific environments.

What types of projects do internship bioinformatics software engineers typically work on?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

What are popular job titles related to Internship Bioinformatics Software Engineer jobs in Cape Cod, MA?

For Internship Bioinformatics Software Engineer jobs in Cape Cod, MA, the most frequently searched job titles are:

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The top searched job categories for Internship Bioinformatics Software Engineer jobs in Cape Cod, MA are:

What cities near Cape Cod, MA are hiring for Internship Bioinformatics Software Engineer jobs?

Cities near Cape Cod, MA with the most Internship Bioinformatics Software Engineer job openings:

Internship Bioinformatics Software Engineer jobs near you

Senior Scientist, Bioinformatics

AstraZeneca

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

22nd of 86 rated pharmaceutical

Job description

Make a meaningful impact on patients' lives around the world
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.
What you will do
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're dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no 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). 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 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.
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.

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About AstraZeneca

Sourced by ZipRecruiter

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.

Industry

Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Cambridge, Cambridgeshire, GB

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