STEM OPT Data Specialist Jobs
Data Specialist roles in analytics, data management, and business intelligence qualify for the STEM OPT 24-month extension if your degree falls under an eligible CIP code. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension begins.
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Get Access To All JobsINTRODUCTION
MSAT Lifecycle Management Data & Process Specialist executes the completeness, validation, and delivery of commercial manufacturing data for the Manufacturing Science and Technology (MSAT) department throughout the commercial product lifecycle. Operating within the Lifecycle Management (LCM) group, this role serves as the functional oversight for department data from CASGEVY manufacturing. The Specialist coordinates, verifies, and distributes global data to support cross-functional studies, regulatory agency responses, and technical investigations within the Commercial Manufacturing & Supply Chain network. This position bridges manual data management with advanced analytics, partnering alongside Technical Operations and leveraging generative AI technologies to automate internal workflows, ensure data integrity, and support product commercialization activities.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Departmental Data Stewardship & Distribution:
- Enter and approve manufacturing data from global internal and external manufacturing networks into internal validated databases.
- Provide validated data packages and manufacturing process content for regulatory submissions and responses, including data verification support.
- Field, prioritize, and execute routine and ad-hoc requests to provide datasets for various departmental and cross-functional projects.
Lifecycle Management & Regulatory Compliance:
- Support Continuous Process Verification (CPV) deliverables and Annual Product Quality Review (APQR) reporting by managing global site data entry, assisting with authoring reports, and managing completeness of historical data.
- Execute and sign off on Data Verification (DV) protocols for various regulatory submissions and information requests.
- Ensure all data handling complies with cell and gene therapy (CGT) requirements, current Good Manufacturing Practices (cGMP), data integrity guidelines, and company internal controls.
Process Monitoring & Investigations Support:
- Analyze complex manufacturing datasets to identify Out-of-Trend (OOT) and Out-of-Specification (OOS) anomalies, proactively flagging processing issues.
- Partner with other MSAT groups by assisting with trend/process investigations and CPV-related quality events.
- Participate in cross-functional manufacturing data review forums to evaluate proactive process performance, monitor key metrics, and mitigate operational risks through early anomaly detection.
- Synthesize technical data, resolve data issues independently, and generate metrics/data-driven reports to support compliance, efficiency projects, and executive decision-making.
- Provide departmental and cross-functional training on data systems/practices.
Digital Innovation & Automation:
- Utilize generative AI technologies and partner with Automation, DTE, and QA teams to test, integrate, and implement digital tools, such as electronic Batch Record (eBR) code readers and AI-driven data automation.
- Evaluate emerging data management software (spanning collection, preparation, storage, analysis, distribution, and visualization) to improve department-wide workflow efficiency and reduce manual errors.
Operational Agility:
- Cross-train team members on automated tools and standardized data verification practices to build department-level resilience.
BASIC QUALIFICATIONS
Education & Experience:
- Bachelor's degree in Life Sciences (or engineering with life sciences concentration) with a minimum of 0-2 years of relevant experience, or an equivalent combination of education and experience.
- Direct experience managing, preparing, and verifying data for technical regulatory/agency reports and questions.
- Demonstrated hands-on experience utilizing generative AI technologies to streamline or automate internal processes.
- Strong background working with data management software configurations spanning data collection, preparation, storage, analysis, and visualization.
- Basic knowledge of programming or coding using Python, SQL, C++, or a similar programming language.
- General understanding of statistical concepts and experience interpreting or analyzing data.
Required Knowledge & Skills:
- Strong technical background in therapeutic pharmaceutical manufacturing processes, with a preference for Cell & Gene Therapy (CGT) cGMP environments.
- Thorough knowledge of current Good Manufacturing Practices (cGMP) and regulatory requirements related to commercial product lifecycle stages.
- Strong problem-solving and critical thinking skills with the ability to analyze complex datasets and make sound, data-driven recommendations.
- Excellent written and verbal communication skills, with a proven ability to translate complex technical information for diverse stakeholders and cross-functional teams.
- Strong collaborative and leadership skills to contribute to and provide technical data guidance within project frameworks.
CONTRACT LENGTH
6 months, with the possibility of extension.
PAY RANGE
$44/hr. - $54/hr.
SHIFT/HOURS
Monday–Friday, Hybrid
REQUISITION DISCLAIMER
This job posting is for a temporary role with a third-party agency partner on assignment at Vertex Pharmaceuticals (“Vertex”). The individual selected for this role will be offered the role as an employee of a third-party agency partner; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by the third-party agency partner upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.
By applying for this position, you agree to the Atrium Terms and Conditions and you direct Atrium to share your application materials, which may include your CV/Resume, email address or phone number, with Vertex. For more information on how Vertex handles your personal data related to your job application, please see Vertex’s Careers Privacy Notice. Agreeing to the Atrium Terms and Conditions, includes permission to use the email address and mobile phone number you provide during the application process or throughout the duration of your prospective or actual employment to notify you of job openings, profiles, articles, news, and other employment-related information, as well as to notify you of special promotions or additional products and services offered by us or our affiliates and partners (collectively, “Atrium Alerts”). Atrium Alerts may be sent by email, phone, or text message. Your personal information will be safely stored within the Atrium & Vertex databases. Atrium does not sell your personal information to third parties. Text message and data rates may apply. To OPT OUT of text messaging or to modify your communication preferences for Atrium Alerts at any time, please contact Atrium at privacyadministrator@atriumstaff.com.
If you do not agree with the Atrium Terms and Conditions, you can still complete your application for this position by emailing your resume to our team at tempstaffing@vrtx.com. Please include the job title in the subject of your email.
No C2C or Third-Party Vendors
INTRODUCTION
MSAT Lifecycle Management Data & Process Specialist executes the completeness, validation, and delivery of commercial manufacturing data for the Manufacturing Science and Technology (MSAT) department throughout the commercial product lifecycle. Operating within the Lifecycle Management (LCM) group, this role serves as the functional oversight for department data from CASGEVY manufacturing. The Specialist coordinates, verifies, and distributes global data to support cross-functional studies, regulatory agency responses, and technical investigations within the Commercial Manufacturing & Supply Chain network. This position bridges manual data management with advanced analytics, partnering alongside Technical Operations and leveraging generative AI technologies to automate internal workflows, ensure data integrity, and support product commercialization activities.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Departmental Data Stewardship & Distribution:
- Enter and approve manufacturing data from global internal and external manufacturing networks into internal validated databases.
- Provide validated data packages and manufacturing process content for regulatory submissions and responses, including data verification support.
- Field, prioritize, and execute routine and ad-hoc requests to provide datasets for various departmental and cross-functional projects.
Lifecycle Management & Regulatory Compliance:
- Support Continuous Process Verification (CPV) deliverables and Annual Product Quality Review (APQR) reporting by managing global site data entry, assisting with authoring reports, and managing completeness of historical data.
- Execute and sign off on Data Verification (DV) protocols for various regulatory submissions and information requests.
- Ensure all data handling complies with cell and gene therapy (CGT) requirements, current Good Manufacturing Practices (cGMP), data integrity guidelines, and company internal controls.
Process Monitoring & Investigations Support:
- Analyze complex manufacturing datasets to identify Out-of-Trend (OOT) and Out-of-Specification (OOS) anomalies, proactively flagging processing issues.
- Partner with other MSAT groups by assisting with trend/process investigations and CPV-related quality events.
- Participate in cross-functional manufacturing data review forums to evaluate proactive process performance, monitor key metrics, and mitigate operational risks through early anomaly detection.
- Synthesize technical data, resolve data issues independently, and generate metrics/data-driven reports to support compliance, efficiency projects, and executive decision-making.
- Provide departmental and cross-functional training on data systems/practices.
Digital Innovation & Automation:
- Utilize generative AI technologies and partner with Automation, DTE, and QA teams to test, integrate, and implement digital tools, such as electronic Batch Record (eBR) code readers and AI-driven data automation.
- Evaluate emerging data management software (spanning collection, preparation, storage, analysis, distribution, and visualization) to improve department-wide workflow efficiency and reduce manual errors.
Operational Agility:
- Cross-train team members on automated tools and standardized data verification practices to build department-level resilience.
BASIC QUALIFICATIONS
Education & Experience:
- Bachelor's degree in Life Sciences (or engineering with life sciences concentration) with a minimum of 0-2 years of relevant experience, or an equivalent combination of education and experience.
- Direct experience managing, preparing, and verifying data for technical regulatory/agency reports and questions.
- Demonstrated hands-on experience utilizing generative AI technologies to streamline or automate internal processes.
- Strong background working with data management software configurations spanning data collection, preparation, storage, analysis, and visualization.
- Basic knowledge of programming or coding using Python, SQL, C++, or a similar programming language.
- General understanding of statistical concepts and experience interpreting or analyzing data.
Required Knowledge & Skills:
- Strong technical background in therapeutic pharmaceutical manufacturing processes, with a preference for Cell & Gene Therapy (CGT) cGMP environments.
- Thorough knowledge of current Good Manufacturing Practices (cGMP) and regulatory requirements related to commercial product lifecycle stages.
- Strong problem-solving and critical thinking skills with the ability to analyze complex datasets and make sound, data-driven recommendations.
- Excellent written and verbal communication skills, with a proven ability to translate complex technical information for diverse stakeholders and cross-functional teams.
- Strong collaborative and leadership skills to contribute to and provide technical data guidance within project frameworks.
CONTRACT LENGTH
6 months, with the possibility of extension.
PAY RANGE
$44/hr. - $54/hr.
SHIFT/HOURS
Monday–Friday, Hybrid
REQUISITION DISCLAIMER
This job posting is for a temporary role with a third-party agency partner on assignment at Vertex Pharmaceuticals (“Vertex”). The individual selected for this role will be offered the role as an employee of a third-party agency partner; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by the third-party agency partner upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.
By applying for this position, you agree to the Atrium Terms and Conditions and you direct Atrium to share your application materials, which may include your CV/Resume, email address or phone number, with Vertex. For more information on how Vertex handles your personal data related to your job application, please see Vertex’s Careers Privacy Notice. Agreeing to the Atrium Terms and Conditions, includes permission to use the email address and mobile phone number you provide during the application process or throughout the duration of your prospective or actual employment to notify you of job openings, profiles, articles, news, and other employment-related information, as well as to notify you of special promotions or additional products and services offered by us or our affiliates and partners (collectively, “Atrium Alerts”). Atrium Alerts may be sent by email, phone, or text message. Your personal information will be safely stored within the Atrium & Vertex databases. Atrium does not sell your personal information to third parties. Text message and data rates may apply. To OPT OUT of text messaging or to modify your communication preferences for Atrium Alerts at any time, please contact Atrium at privacyadministrator@atriumstaff.com.
If you do not agree with the Atrium Terms and Conditions, you can still complete your application for this position by emailing your resume to our team at tempstaffing@vrtx.com. Please include the job title in the subject of your email.
No C2C or Third-Party Vendors
See all 266+ STEM OPT Data Specialist Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Specialist
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to an approved STEM field. Computer science, information systems, statistics, and applied mathematics are common qualifying codes for Data Specialist roles, but your DSO confirms the match.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether their company is enrolled in E-Verify before you reach the offer stage. A company can be a strong fit in every other way but still be ineligible to employ you on STEM OPT without that enrollment.
Build your I-983 training plan around data deliverables
Tie each learning objective in your I-983 to a concrete data project you'll own, such as building ETL pipelines or producing dashboards. Vague objectives get flagged during DSO review and slow your extension start date.
Target employers with dedicated data teams
Use Migrate Mate to filter Data Specialist openings by employers with active STEM OPT hiring history. Companies that already run structured data functions are more likely to have the E-Verify enrollment and internal HR processes your extension requires.
Use OFLC Wage Search to anchor your salary conversation
Pull the prevailing wage for your SOC code and metro area using OFLC Wage Search before negotiating. STEM OPT employers who later file H-1B visa petitions must meet DOL wage requirements, so knowing the figure protects you from offers that won't survive that transition.
File your extension 90 days before OPT expires
USCIS requires your STEM OPT extension application to be received while your initial OPT EAD is still valid, with a recommended 90-day lead time. Missing that window means a gap in work authorization, not just a delayed start.
Frequently Asked Questions
Does a Data Specialist role qualify for the STEM OPT extension?
It depends on your degree, not just the job title. Your degree's CIP code must appear on the SEVP STEM Designated Degree Program List. Degrees in computer science, information systems, statistics, data science, and applied mathematics commonly qualify. Your DSO verifies the CIP code match and recommends the extension in SEVIS once confirmed.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be enrolled in E-Verify before you can begin working on a STEM OPT extension. Enrollment at the company level isn't enough if you're hired into a subsidiary or a separate legal entity that isn't independently enrolled. Confirm the specific hiring entity's E-Verify status in writing before signing an offer. USCIS can revoke your extension if your employer falls out of compliance.
What goes into the I-983 training plan for a Data Specialist?
The I-983 must describe the practical training you'll receive, the STEM knowledge and skills you'll develop, and how the work relates to your qualifying degree. For Data Specialist roles, that typically means documenting projects involving data modeling, statistical analysis, database management, or machine learning. Both you and your employer sign it, and your DSO must recommend it before USCIS approves your extension.
How does cap-gap protection work if my employer files for H-1B during my STEM OPT?
If your employer files a timely H-1B petition for the October 1 start date and your STEM OPT EAD expires between April 1 and September 30, cap-gap automatically extends your work authorization through September 30. You can continue working as a Data Specialist during that window without a new EAD. USCIS issues a cap-gap notice in your approval or receipt documentation.
Where can I find Data Specialist jobs at employers already set up for STEM OPT?
Migrate Mate lists Data Specialist openings filtered for employers with STEM OPT hiring history and E-Verify enrollment. Searching there reduces the time you spend screening companies that can't legally employ you on an extension. You can filter by location, degree field, and role type to match your specific authorization window.