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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. Recruitment & Staffing Agencies: Ampersand Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Ampersand and/or Flagship Pioneering or its employees is strictly prohibited unless contacted directly by Ampersand or Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Ampersand and FSP, and Ampersand/FSP will not owe any referral or other fees with respect thereto. The salary range for this role is $25.00 - $40.00. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.