This is a full time, remote Summer Internship that can be based anywhere in the United States or Canada. We are looking for a Software Engineering Intern to join our Products organization for the Summer. In this role, you will be part of a unique and award-winning internship program within the company. The program provides the opportunity to learn new skills through training and on the job learning. The duration of the program is expected to be 90 days. The intern will join the software engineering and analytics team to design, develop, and optimize cloud based workflows and data processing applications. The role involves working with technologies such as Python, AWS, and Elasticsearch to create reliable and scalable solutions that support analytics and system monitoring. Success in this position means writing clean, efficient code, learning modern engineering practices, and collaborating closely with experienced team members. This internship offers exposure to real-world production systems, mentorship opportunities, and hands-on experience at the intersection of software engineering, data analytics, and emerging AI frameworks. Responsibilities and Duties: - Develop and maintain Python-based applications and automation workflows. - Build and enhance software pipelines that collect, process, and organize data from multiple sources. - Support and deploy solutions using cloud services such as AWS Lambda, InfluxDB, or equivalent GCP tools. - Analyze structured and unstructured data, including timeseries and network telemetry data, to identify key patterns. - Contribute to creating and maintaining analytics components using Elasticsearch and Kibana or equivalent. - Collaborate with engineers using Git, CI/CD workflows. - Document technical processes, write reusable code, and implement best practices for system reliability. - Explore new technologies such as agentic AI frameworks (e.g., LangGraph) and LLM-based automation solutions. ​ Qualifications: - Currently enrolled in a college degree program in Computer Science, Computer Engineering, Software Engineering, or a related field. - Proficiency in Python for backend development, scripting, or automation. - Understanding of data pipeline and integration concepts — collecting, transforming, and preparing data for analytics. - Exposure to AWS cloud services (Lambda, InfluxDB) or corresponding GCP components. - Familiarity with version control systems such as Git. - Experience with analytics or data‑driven projects through coursework, internships, or research. - Strong foundation in data structures, algorithms, and API design. - Excellent problem-solving skills, attention to detail, and ability to work collaboratively. - Preferred: Knowledge of the Elasticsearch Stack (Elasticsearch, Kibana, Beats, Logstash) or equivalent. - Preferred: Exposure to agentic or autonomous system development and machine learning workflows. - Knowledge of timeseries data or network telemetry data is a plus. - Able to work for the complete summer break (May - August or June - September). #LI-Remote The base pay range for this position varies based on the geographic location. More information about the pay range specific to candidate location and other factors will be shared during the recruitment process. Individual pay is determined based on location of residence and multiple factors, including job-related knowledge, skills and experience. San Francisco Bay Area: 27.60 - 34.50 USD HourlyAll Other US Locations: 24.00 - 30.00 USD Hourly For information on our benefits click here.

• Design, build, and maintain efficient data pipelines (ETL/ELT processes) using Apache Spark on AWS EMR to integrate data from various source systems into our data warehouse and data lake. • Build and optimize batch and near real-time data processing jobs on Spark (including performance tuning, partitioning, and cost control on EMR) to support analytics and reporting needs. • Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets. • Implement data quality measures (such as validation checks and cleansing routines) to ensure data integrity and reliability. • Develop and optimize data warehouse schemas and tables, and define contracts between Spark/EMR pipelines, Iceberg tables, Snowflake models, and dbt transformations. • Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver appropriate solutions. • Document pipeline designs, data flows, and data definitions for transparency and future reference, adhering to team standards. • Handle multiple tasks or projects simultaneously, prioritizing work and communicating progress to stakeholders to meet deadlines.

• Drive the execution and adoption of the process data analytics (PA) technologies and capabilities for the Biologics (BIO) business unit (BU). • Build and maintain Discoverant product hierarchies for global BIO programs according to standard best practices for manufacturing process modelling and nomenclature under a formal SDLC change control process. • Partner with global and site MSAT to build and deliver user requirements and streamline the execution of Continued Process Verification (CPV), routine process monitoring, and external data sharing activities through usage of Discoverant. • Develop and integrate data visualization solutions into existing MSAT workflows including manufacturing process and material genealogy use cases. • Work collaboratively to engage site leadership and technical SMEs to advance programs related to global process analytics. • Liaise with Global IT, Computerized Systems Validation (CSV), and Data Engineering and Process Analytics (DEPA) to adhere to Discoverant platform-level best practices and procedures and provide input for future system enhancements and upgrades. • Investigate the applicability of advanced analytical tools such as real-time multivariate process modelling or process knowledge management for improving development and manufacturing. • Support or lead projects related to Pharma 4.0, AI/ML, and other digital transformation initiatives for the BIO BU.

Job Description Job Description: We are seeking a dedicated Principal Data Engineer with a passion for pharmaceutical research, to lead and manage our critical Data Engineering team as they strategically enable scientists across Vertex with data. As part of the Data & Software Engineering (DSE) Team, you will be responsible for developing, curating, and maintaining data assets that enable our scientists to make timely, informed, and critical decisions.. You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex’s cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics. Using the VDP, you will help ensure that our scientists are equipped with information to drive their analysis, models, and investigations. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical to ensure that the Vertex’s research data platform continues to accelerate and enable our data scientists to drive innovation and insight. Key Responsibilities: - Data Engineering – Integrate & curate data from research systems & artifacts to support analytics, modelling, machine learning, and investigation. Collaborate closely with our research engagement teams to understand requirements, and translate them into data solutions - Data Engineering management - Manage, maintain, and improve the Vertex Data Platform solutions that support & enable Research scientists - Delivery management – Estimate, architect, and execute on delivery of critical data solutions across the Research domain, in partnership with the DSE leadership team - Operations Management – Manage a team of data engineers to maintain compliant, timely, secure, and reliable data workloads for Research. Work alongside our DSE MLOps team to support complex workloads that leverage curated & model ready data - Innovation champion - Advocate for process enhancements and opportunities to improve our capabilities with a focus on efficiency, scale, and data connectivity Qualifications: - Minimum of 9 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies - Minimum of 9 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance - Prior experience leading Data Engineering projects and teams - 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms - Demonstrated experience with pipeline technologies like Astronomer / Airflow, MLFlow, etc. - Demonstrated ability to work independently and manage multiple projects that require collaboration across functional areas. - Skillful, collaborative team player able to develop rapport and credibility with stakeholders. - Demonstrated ability and willingness to teach, engage and support others as they learn new technologies and concepts. - Enthusiasm for and the ability to quickly learn new technologies and tackle difficult problems - Strong presentation, verbal, and written communication skills - Working knowledge of key workflow tools, including JIRA and Confluence Pay Range: $148,000 - $222,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be designated as: 1. Remote: work remotely five days per week and come into the office on occasion – you’re always welcome on-site; or select 2. Hybrid: work remotely up to two days per week; or select 3. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. #LI-Remote Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com