Data Science Analyst Visa Sponsorship Jobs in North Carolina
Data science analyst roles in North Carolina are concentrated in the Research Triangle, where companies like SAS Institute, Red Hat, and Lenovo maintain significant analytics teams, alongside major financial institutions in Charlotte such as Bank of America and Wells Fargo. The state's deep university pipeline through NC State, Duke, and UNC feeds steady demand for sponsored international talent.
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Get Access To All JobsINTRODUCTION
The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing of machine learning and AI solutions that drive data-driven decision-making across the U.S. Commercial organization. This role partners closely with Insights & Analytics, Enterprise Data Management, Information Technology, and Medical Affairs to develop predictive models and analytical solutions that generate actionable insights into patient populations and healthcare provider behavior. The successful candidate brings deep biotech commercial acumen and strong expertise in machine learning and AI to deliver timely, innovative solutions that inform strategic decisions and accelerate commercial growth.
This is a hybrid role to the Research Triangle Park, NC office which requires an on-site presence 3 days per week.
Key Responsibilities
AI & Data Science Leadership
- Design, develop and validate machine learning and predictive analytics-based solutions supporting U.S. Commercial function.
- Evaluate business and analytical needs to select and implement appropriate statistical, machine learning, and AI methodologies that deliver meaningful insights into patient populations, healthcare provider behavior, treatment patterns, and commercial opportunities.
- Follow and refine best practices for model development, monitoring, governance, and continuous improvement.
Patient and Provider Analytics
- Develop, deploy advanced analytics, machine learning, and AI solutions to generate actionable insights into patient populations, healthcare provider behavior, treatment patterns, and disease progression.
- Develop predictive models that support patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies.
- Integrate and analyze claims, electronic health records (EHR), specialty pharmacy, and commercial data to uncover opportunities that improve patient access, provider engagement, and commercial effectiveness.
- Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate patient and provider insights into evidence-based business strategies.
- Communicate complex analytical findings clearly to leadership and cross-functional teams.
Leadership and Performance
- Support a culture of innovation, collaboration, continuous learning, and technical excellence.
- Manage external vendors and consulting partners.
- Operate effectively in a fast-paced, cross-functional environment, managing multiple initiatives while ensuring timely and high-quality execution.
REQUIRED QUALIFICATIONS
- Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
- 3+ years of experience supporting U.S. Commercial organizations within the pharmaceutical / biotechnology industry.
- Strong programming skills in Python and SQL.
- Experience with Databricks, Snowflake and Power BI.
- Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques.
- Knowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets.
- Excellent communication and stakeholder management skills.
LOCATION
Hybrid (U.S.)
REPORTS TO
Director, Predictive Sciences
TRAVEL
Approximately 10–20% as needed
Job Level
Management
ADDITIONAL INFORMATION
The base compensation range for this role is: -
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.
Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to:
- Medical, Dental, Vision, & Life insurances
- Fitness & Wellness programs including a fitness reimbursement
- Short- and Long-Term Disability insurance
- A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
- Up to 12 company paid holidays + 3 paid days off for Personal Significance
- 80 hours of sick time per calendar year
- Paid Maternity and Parental Leave benefit
- 401(k) program participation with company matched contributions
- Employee stock purchase plan
- Tuition reimbursement of up to $10,000 per calendar year
- Employee Resource Groups participation
WHY BIOGEN?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
INTRODUCTION
The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing of machine learning and AI solutions that drive data-driven decision-making across the U.S. Commercial organization. This role partners closely with Insights & Analytics, Enterprise Data Management, Information Technology, and Medical Affairs to develop predictive models and analytical solutions that generate actionable insights into patient populations and healthcare provider behavior. The successful candidate brings deep biotech commercial acumen and strong expertise in machine learning and AI to deliver timely, innovative solutions that inform strategic decisions and accelerate commercial growth.
This is a hybrid role to the Research Triangle Park, NC office which requires an on-site presence 3 days per week.
Key Responsibilities
AI & Data Science Leadership
- Design, develop and validate machine learning and predictive analytics-based solutions supporting U.S. Commercial function.
- Evaluate business and analytical needs to select and implement appropriate statistical, machine learning, and AI methodologies that deliver meaningful insights into patient populations, healthcare provider behavior, treatment patterns, and commercial opportunities.
- Follow and refine best practices for model development, monitoring, governance, and continuous improvement.
Patient and Provider Analytics
- Develop, deploy advanced analytics, machine learning, and AI solutions to generate actionable insights into patient populations, healthcare provider behavior, treatment patterns, and disease progression.
- Develop predictive models that support patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies.
- Integrate and analyze claims, electronic health records (EHR), specialty pharmacy, and commercial data to uncover opportunities that improve patient access, provider engagement, and commercial effectiveness.
- Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate patient and provider insights into evidence-based business strategies.
- Communicate complex analytical findings clearly to leadership and cross-functional teams.
Leadership and Performance
- Support a culture of innovation, collaboration, continuous learning, and technical excellence.
- Manage external vendors and consulting partners.
- Operate effectively in a fast-paced, cross-functional environment, managing multiple initiatives while ensuring timely and high-quality execution.
REQUIRED QUALIFICATIONS
- Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
- 3+ years of experience supporting U.S. Commercial organizations within the pharmaceutical / biotechnology industry.
- Strong programming skills in Python and SQL.
- Experience with Databricks, Snowflake and Power BI.
- Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques.
- Knowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets.
- Excellent communication and stakeholder management skills.
LOCATION
Hybrid (U.S.)
REPORTS TO
Director, Predictive Sciences
TRAVEL
Approximately 10–20% as needed
Job Level
Management
ADDITIONAL INFORMATION
The base compensation range for this role is: -
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.
Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to:
- Medical, Dental, Vision, & Life insurances
- Fitness & Wellness programs including a fitness reimbursement
- Short- and Long-Term Disability insurance
- A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
- Up to 12 company paid holidays + 3 paid days off for Personal Significance
- 80 hours of sick time per calendar year
- Paid Maternity and Parental Leave benefit
- 401(k) program participation with company matched contributions
- Employee stock purchase plan
- Tuition reimbursement of up to $10,000 per calendar year
- Employee Resource Groups participation
WHY BIOGEN?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
Data Science Analyst Job Roles in North Carolina
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Search Data Science Analyst Jobs in North CarolinaData Science Analyst Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data science analysts in North Carolina?
SAS Institute in Cary, Red Hat in Durham, and Lenovo in Morrisville are among the most consistent H-1B visa sponsors for data and analytics roles in the Triangle. Charlotte-based financial firms including Bank of America and Wells Fargo also file significant H-1B petitions for data science analyst positions. Large healthcare systems like Duke Health and UNC Health round out the major sponsoring employers in the state.
Which visa types are most common for data science analyst roles in North Carolina?
The H-1B is the most common work visa for data science analyst positions in North Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. F-1 students graduating from NC State, Duke, or UNC often work under OPT or STEM OPT extension before their employer transitions them to H-1B status. Australians may also qualify for the E-3 visa with a sponsoring employer.
Which cities in North Carolina have the most data science analyst sponsorship jobs?
The Research Triangle, spanning Raleigh, Durham, and Chapel Hill, is by far the densest market for sponsored data science analyst roles in North Carolina, driven by tech companies, life sciences firms, and university-affiliated research organizations. Charlotte is the second largest hub, concentrated in financial services and fintech. Smaller clusters exist in Greensboro and Winston-Salem, primarily tied to healthcare and manufacturing analytics teams.
How to find data science analyst visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles, and you can filter directly for data science analyst positions in North Carolina to see employers actively open to sponsorship. Because sponsorship willingness is not always stated in generic job postings, using a platform that surfaces this information upfront saves significant research time. Migrate Mate updates listings regularly, making it a practical starting point for your North Carolina job search.
Are there state-specific factors that affect visa sponsorship for data science analysts in North Carolina?
North Carolina's Research Triangle Park concentration means many sponsoring employers are large, established tech and life sciences companies that have dedicated HR and immigration counsel, which can streamline the H-1B process compared to smaller sponsors. The region's strong university pipeline through NC State's analytics programs and Duke's data science graduate degrees means employers are accustomed to hiring international graduates and initiating OPT-to-H-1B transitions. Prevailing wage requirements still apply and are determined by the specific metropolitan statistical area where the job is located.
What is the prevailing wage for sponsored data science analyst jobs in North Carolina?
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.