Co-op, Data Engineering (Spring 2027, open to Northeastern students only)

Ampersand; Boston, Northern (MA, KY); Hybrid; USD 34,000 - 55,000; Part time

Benefits offered by this job

Healthcare coverage

Annual incentive program

Retirement benefits

Other benefits

Job summary

Ampersand Biomedicines in Boston is offering a Data Engineering Co-op (Spring 2027) for Northeastern students. You will design and implement scalable data pipelines, integrate data across lab systems, and build dashboards to support researchers and leadership.

The role emphasizes collaboration with data scientists and researchers, exposure to ELN and data warehousing, and hands-on work with modern data tools and cloud services.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related field at Northeastern University.
• Experience through coursework, personal projects, or internships with data pipeline development, ETL concepts, or data integration.
• Proficiency in SQL and familiarity with database technologies (e.g., PostgreSQL, MySQL, Redshift).
• Strong programming skills in Python.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Familiarity with version control (git) and comfort working from the command line.
• Excellent problem-solving skills and the ability to work independently as well as part of a collaborative team.
• Strong communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration across laboratory, instrument, and research systems.
• Build automation to register lab instruments and pipeline outputs into the ELN and data warehouse, with validation and error handling.
• Collaborate with data scientists, analysts, and research teams to define data requirements and deliver robust data solutions.
• Model and transform data into clean, queryable tables and help evaluate modern data lake/warehouse storage approaches.
• Develop dashboards and visualizations that turn pipeline output into actionable information for scientists and leadership.
• Prototype and evaluate an image-analysis pipeline for high-content imaging data, benchmarking segmentation and classification approaches against manual results.
• Implement data-quality checks and best practices to ensure data integrity, reliability, and reproducibility.
• Monitor data pipelines, troubleshoot issues, and implement solutions to resolve data-related problems.
• Develop and maintain comprehensive documentation for data processes, workflows, and infrastructure.

Skills

SQL

Python

Data pipelines

ETL

Git

AWS/GCP/Azure

Communication

Problem solving

Independent work

Education

Bachelor's or Master's in CS/Data Science (Northeastern University)

Tools

Apache Airflow

AWS Glue

Spark

Tableau

Power BI

Plotly

Streamlit

Job description

Co-op, Data Engineering (Spring 2027, open to Northeastern students only)

Ampersand Biomedicines is a Flagship Pioneering company on a mission to transform patients’ lives with programmed medicines that work precisely where needed, and nowhere else. We’re building a collaborative, mission-driven team that thrives in a fast-paced environment and shares a genuine desire to make a difference. We ACT our values by working with Agility to adapt and deliver impact, leading with Compassion to put people first, and practicing Transparency to build trust through openness, clarity, and integrity. At Ampersand, employees are encouraged to explore breakthrough science, take chances, support one another, and contribute ideas and perspectives openly.

The Role

Ampersand Biomedicines is seeking a talented and proactive Data Engineering Co-op to join our growing Computational Biology team. This individual will play a hands-on role in designing, building, and maintaining the data pipelines that support our research and analytics teams, ensuring the seamless integration and availability of scientific data with the opportunity to contribute across data integration, visualization, and image analysis. The ideal candidate is a motivated student or early-career engineer with strong technical fundamentals, a keen eye for detail, and a passion for leveraging data to innovate in the biomedicine space.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration across our laboratory, instrument, and research systems.
• Build automation to register lab instruments and pipeline outputs into our electronic lab notebook (ELN) and data warehouse, with validation and error handling.
• Collaborate with data scientists, analysts, and research teams to define data requirements and deliver robust data solutions.
• Model and transform data into clean, queryable tables and help evaluate modern data lake/warehouse storage approaches.
• Develop dashboards and visualizations that turn pipeline output into actionable information for scientists and leadership.
• Prototype and evaluate an image-analysis pipeline for high-content imaging data, benchmarking segmentation and classification approaches against manual results.
• Implement data-quality checks and best practices to ensure data integrity, reliability, and reproducibility.
• Monitor data pipelines, troubleshoot issues, and implement solutions to resolve data-related problems.
• Develop and maintain comprehensive documentation for data processes, workflows, and infrastructure.

Required Professional Experience & Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related field at Northeastern University .
• Foundational experience through coursework, personal projects, or a prior internship - with data pipeline development, ETL concepts, or data integration.
• Proficiency in SQL and familiarity with database technologies (e.g., PostgreSQL, MySQL, Redshift).
• Strong programming skills in Python.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) and their respective data services.
• Familiarity with version control (git) and comfort working from the command line.
• Excellent problem-solving skills and the ability to work independently as well as part of a collaborative team.
• Strong communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders.

Preferred Professional Experience & Qualifications

• Experience with data pipeline / orchestration or big data tools (e.g., Apache Airflow, AWS Glue, Spark).
• Familiarity with data warehousing or lakehouse formats (e.g. BigQuery, Apache Iceberg, Parquet).
• Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, Streamlit).
• Experience with biological image segmentation and analysis like segmenting cells or tissue subtypes and quantifying features from microscopy images — is a strong plus.
• Knowledge of biomedical data standards, or prior experience with scientific or laboratory data systems.
• Familiarity with machine learning, REST APIs, or DevOps and containerization technologies (e.g., Docker).

Ampersand Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

The salary range for this role is $25.00 - $40.00 hourly. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Ampersand currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Ampersand’s good faith estimate as of the date of publication and may be modified in the future.