STEM OPT Data Management Specialist Jobs
Data Management Specialist roles in database administration, data governance, and information architecture qualify for the 24-month STEM OPT 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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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
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Management Specialist
Verify your CIP code covers data management
Check that your degree's CIP code appears on the DHS STEM Designated Degree Program List. Computer and Information Sciences (11.xx) and Management Information Systems (52.12xx) commonly qualify, but Information Technology degrees vary by institution.
Confirm E-Verify enrollment before applying
Before your interview stage, search the E-Verify employer search tool to confirm the company is enrolled. Employers who aren't enrolled cannot legally hire you on a STEM OPT extension, regardless of how willing they are to sponsor.
Build an I-983 training plan around data governance tasks
Your training plan must list specific learning objectives tied to your STEM degree, not just job duties. For Data Management Specialist roles, map objectives like data quality frameworks and metadata standards directly to coursework from your degree program.
Target employers with active DOL LCA filings
Use Migrate Mate to filter Data Management Specialist roles by employers with verified DOL Labor Condition Application filings. This signals the employer already understands work authorization requirements and has filed for similar roles before.
Request an offer letter specifying your OPT end date
Ask the hiring team to include your OPT EAD expiration and the STEM extension start date in your written offer. This protects you if onboarding is delayed and ensures HR initiates the E-Verify I-9 process on your actual start date.
Apply 90 days before your initial OPT expires
USCIS allows you to file your STEM OPT extension application up to 90 days before your EAD expires. Filing early gives you a cap-gap buffer and keeps you authorized to work while USCIS adjudicates, avoiding any gap in employment for your data management role.
Frequently Asked Questions
Does a Data Management Specialist role qualify for the STEM OPT extension?
It depends on whether your employer's job description requires a STEM degree and whether your degree's CIP code is on the DHS STEM Designated Degree Program List. Most Data Management Specialist positions that require a degree in Computer Science, Information Systems, or a related technical field qualify. Your DSO confirms eligibility based on your specific degree, not the job title alone.
How do I find Data Management Specialist employers enrolled in E-Verify?
You can search the E-Verify employer database directly to confirm enrollment before applying. Migrate Mate also surfaces Data Management Specialist roles specifically from employers with verified work authorization filing history, so you're not spending time on applications that will stall at the E-Verify step.
What goes into an I-983 training plan for a data management role?
The I-983 must include a list of learning objectives directly tied to your STEM degree, not just a copy of your job description. For a Data Management Specialist, that means documenting how tasks like data pipeline design, quality control frameworks, or database schema management connect to specific courses or competencies from your degree program. Your employer's HR or legal team signs off, and your DSO must approve it.
Can I start working as a Data Management Specialist while my STEM OPT extension is pending?
Yes, if you filed your extension application before your initial OPT EAD expired, you're covered by an automatic 180-day cap-gap authorization. You can continue working for the same employer in the same role during this period. If you want to change employers while your application is pending, talk to your DSO first, since that can affect your authorization status.
What STEM degrees make me eligible for a Data Management Specialist STEM OPT extension?
Degrees in Computer and Information Sciences, Management Information Systems, Data Science, and Information Technology from programs listed under eligible CIP codes on the DHS STEM Designated Degree Program List are the most common qualifying credentials for this role. Applied Statistics and Operations Research degrees can also qualify depending on the specific job duties. Check O*NET for the occupation's typical education requirements and cross-reference with your degree's CIP code to confirm alignment.