Data Science Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data science engineer job market is anchored by Philadelphia's finance and healthcare sectors, Pittsburgh's growing tech and AI research scene, and major employers like Comcast, SEI Investments, and Carnegie Mellon University's affiliated research centers. International candidates will find active H-1B visa sponsorship activity across both cities, particularly in enterprise software, health informatics, and financial analytics.
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Verista's 500 experts team up with the world's most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world's most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities.
Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day.
Company Culture Guidelines & Values:
- We empower and support our colleagues
- We commit to client success at every turn
- We have the courage to do the right thing
- We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged.
- We constantly acquire new skills and learn from our experiences to enhance our collective expertise
Job Overview: We are seeking a Lead CSV/CSA Engineer to support GxP compliance activities across Data Analytics, Artificial Intelligence (AI), Machine Learning (ML), and Digital platforms. This role will work closely with Quality, IT, Data Analytics, and business stakeholders to ensure systems are implemented, maintained, and operated in compliance with applicable regulations, internal procedures, and data integrity requirements.
Lead Validation Engineer Responsibilities:
- Provide CSA / CSV subject matter expertise across Data Analytics, AI, Machine Learning, and Digital platforms
- Support system implementations, enhancements, integrations, upgrades, and data migrations from a compliance perspective
- Develop and review validation deliverables including Validation Plans, Risk Assessments, Traceability Matrices, and Validation Summary Reports
- Review and approve lifecycle documentation (URS, specifications, test plans, test summaries) in alignment with ALCOA+ and Good Documentation Practices
- Assess AI/ML solutions and analytics platforms to determine appropriate risk-based assurance activities
- Oversee validation readiness and ensure prerequisites are met prior to formal testing
- Support change control, configuration management, and release activities
- Partner with Quality, System Owners, Data Owners, and Business Process Owners to ensure ongoing compliance
- Provide guidance on CSA-based, risk-driven validation approaches for analytics and AI-enabled solutions
- Support supplier assessments, vendor documentation reviews, and leveraging of vendor testing where appropriate
Requirements
- 5–8 years of hands-on experience supporting GxP systems, Data Analytics platforms, Artificial Intelligence solutions, or a combination of these domains
- Hands-on experience supporting cloud-based, SaaS, COTS, or enterprise data platforms in regulated environments
- Strong understanding of CSA principles, CSV, and SDLC processes
- Experience authoring and/or reviewing validation documentation
- Working knowledge of GxP regulations (e.g., FDA, EMA, ICH), data integrity requirements, and ALCOA+ principles
- Familiarity with AI, Machine Learning, advanced analytics, or business intelligence platforms
- Ability to work independently in a fast-paced, matrixed environment
- Strong communication skills and comfort interacting with Quality, IT, Data, and business stakeholders
- Experience Machine Learning, Business Intelligence, Data Lake, Data Warehouse, or Digital Transformation platforms preferred
- Experience with technologies such as Power BI, Tableau, Snowflake, Databricks, Azure, AWS, Google Cloud, or similar platforms preferred
- Familiarity with electronic quality systems, change management tools, or application lifecycle management platforms preferred
- Experience supporting AI governance, model lifecycle management, or emerging AI compliance frameworks preferred
Benefits
Why Choose Verista?
- High growth potential and fast-paced organization with a people-focused culture
- Competitive pay plus performance-based incentive programs
- Company-paid Life, Short-Term, and Long-Term Disability Insurance.
- Medical, Dental & Vision insurances
- FSA, DCARE, Commuter Benefits
- Supplemental Life, Hospital, Critical Illness and Legal Insurance
- Health Savings Account
- 401(k) Retirement Plan (Employer Matching benefit)
- Paid Time Off (Rollover Option) and Holidays
- As Needed Sick Time
- Tuition Reimbursement
- Team Social Activities (We have fun!)
- Employee Recognition
- Employee Referral Program
- Paid Parental Leave and Bereavement
Verista collects and processes personal data in accordance with applicable data protection laws. If you are a California Job Applicant, see the privacy notice for further details.
Description
Verista's 500 experts team up with the world's most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world's most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities.
Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day.
Company Culture Guidelines & Values:
- We empower and support our colleagues
- We commit to client success at every turn
- We have the courage to do the right thing
- We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged.
- We constantly acquire new skills and learn from our experiences to enhance our collective expertise
Job Overview: We are seeking a Lead CSV/CSA Engineer to support GxP compliance activities across Data Analytics, Artificial Intelligence (AI), Machine Learning (ML), and Digital platforms. This role will work closely with Quality, IT, Data Analytics, and business stakeholders to ensure systems are implemented, maintained, and operated in compliance with applicable regulations, internal procedures, and data integrity requirements.
Lead Validation Engineer Responsibilities:
- Provide CSA / CSV subject matter expertise across Data Analytics, AI, Machine Learning, and Digital platforms
- Support system implementations, enhancements, integrations, upgrades, and data migrations from a compliance perspective
- Develop and review validation deliverables including Validation Plans, Risk Assessments, Traceability Matrices, and Validation Summary Reports
- Review and approve lifecycle documentation (URS, specifications, test plans, test summaries) in alignment with ALCOA+ and Good Documentation Practices
- Assess AI/ML solutions and analytics platforms to determine appropriate risk-based assurance activities
- Oversee validation readiness and ensure prerequisites are met prior to formal testing
- Support change control, configuration management, and release activities
- Partner with Quality, System Owners, Data Owners, and Business Process Owners to ensure ongoing compliance
- Provide guidance on CSA-based, risk-driven validation approaches for analytics and AI-enabled solutions
- Support supplier assessments, vendor documentation reviews, and leveraging of vendor testing where appropriate
Requirements
- 5–8 years of hands-on experience supporting GxP systems, Data Analytics platforms, Artificial Intelligence solutions, or a combination of these domains
- Hands-on experience supporting cloud-based, SaaS, COTS, or enterprise data platforms in regulated environments
- Strong understanding of CSA principles, CSV, and SDLC processes
- Experience authoring and/or reviewing validation documentation
- Working knowledge of GxP regulations (e.g., FDA, EMA, ICH), data integrity requirements, and ALCOA+ principles
- Familiarity with AI, Machine Learning, advanced analytics, or business intelligence platforms
- Ability to work independently in a fast-paced, matrixed environment
- Strong communication skills and comfort interacting with Quality, IT, Data, and business stakeholders
- Experience Machine Learning, Business Intelligence, Data Lake, Data Warehouse, or Digital Transformation platforms preferred
- Experience with technologies such as Power BI, Tableau, Snowflake, Databricks, Azure, AWS, Google Cloud, or similar platforms preferred
- Familiarity with electronic quality systems, change management tools, or application lifecycle management platforms preferred
- Experience supporting AI governance, model lifecycle management, or emerging AI compliance frameworks preferred
Benefits
Why Choose Verista?
- High growth potential and fast-paced organization with a people-focused culture
- Competitive pay plus performance-based incentive programs
- Company-paid Life, Short-Term, and Long-Term Disability Insurance.
- Medical, Dental & Vision insurances
- FSA, DCARE, Commuter Benefits
- Supplemental Life, Hospital, Critical Illness and Legal Insurance
- Health Savings Account
- 401(k) Retirement Plan (Employer Matching benefit)
- Paid Time Off (Rollover Option) and Holidays
- As Needed Sick Time
- Tuition Reimbursement
- Team Social Activities (We have fun!)
- Employee Recognition
- Employee Referral Program
- Paid Parental Leave and Bereavement
Verista collects and processes personal data in accordance with applicable data protection laws. If you are a California Job Applicant, see the privacy notice for further details.
Data Science Engineer Job Roles in Pennsylvania
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Search Data Science Engineer Jobs in PennsylvaniaData Science Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Pennsylvania?
Philadelphia-based employers like Comcast, SEI Investments, and Independence Blue Cross have consistent H-1B filing histories for data-focused engineering roles. In Pittsburgh, companies like Duolingo, Cognition, and various Carnegie Mellon University spinouts sponsor international candidates. Large consulting firms including Deloitte and Accenture, which have significant Pennsylvania operations, also file H-1B petitions for data science engineers regularly.
Which visa types are most common for data science engineer roles in Pennsylvania?
The H-1B is the most common visa for data science engineers in Pennsylvania, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation requirement. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions frequently transition to H-1B through employer sponsorship. O-1A visas are an option for candidates with documented exceptional contributions to the field.
Which cities in Pennsylvania have the most data science engineer sponsorship jobs?
Philadelphia and Pittsburgh account for the large majority of data science engineer sponsorship activity in Pennsylvania. Philadelphia draws demand from finance, insurance, and healthcare employers concentrated around Center City and the surrounding suburbs. Pittsburgh's strength comes from its AI and robotics research ecosystem, anchored by Carnegie Mellon University and University of Pittsburgh, which attract both academic institutions and technology companies that hire and sponsor data science engineers.
How to find data science engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science engineer roles in Pennsylvania without sifting through positions that don't sponsor. Because sponsorship willingness isn't always stated in job postings, Migrate Mate's focus on verified sponsoring employers saves significant time. Filtering by Pennsylvania cities like Philadelphia and Pittsburgh narrows results to the markets where sponsorship activity for this role is most concentrated.
Are there any Pennsylvania-specific factors that affect visa sponsorship for data science engineers?
Pennsylvania's concentration of research universities, including Carnegie Mellon, Penn, and Drexel, creates a strong pipeline of international graduates who enter the local job market on OPT and later seek H-1B sponsorship. Employers in Pittsburgh's AI corridor are generally experienced with the sponsorship process due to high international graduate hiring. Philadelphia's healthcare and financial services employers tend to use established immigration counsel, which can make the sponsorship process more structured for candidates.
What is the prevailing wage for sponsored data science engineer jobs in Pennsylvania?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.