Senior Data Science Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's senior data science engineer market is anchored by Research Triangle Park, one of the densest concentrations of tech and life sciences employers in the Southeast. Companies like SAS Institute, Red Hat, Lenovo, and Bank of America's Charlotte operations regularly hire for senior data science engineering roles and have established visa sponsorship programs for international candidates.
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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.
Senior Data Science Engineer Job Roles in North Carolina
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Search Senior Data Science Engineer Jobs in North CarolinaSenior Data Science Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in North Carolina?
SAS Institute in Cary is one of the most active sponsors for data science engineering talent in North Carolina, given its analytics-focused product line. Red Hat, Lenovo's North American headquarters in Morrisville, Fidelity Investments, and Bank of America in Charlotte also have documented H-1B visa sponsorship histories for senior data science engineering roles. Life sciences firms like Biogen and IQVIA, both with Triangle-area operations, hire senior data science engineers for clinical and research analytics work.
Which visa types are most common for senior data science engineer roles in North Carolina?
The H-1B is the most common visa for senior data science engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with a master's degree may benefit from the advanced degree exemption during the H-1B lottery. Those with extraordinary research contributions may also explore the O-1A category. Canadians and Mexicans may qualify for TN visa status under the mathematician or computer systems analyst category, depending on role classification.
Which cities in North Carolina have the most senior data science engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, Cary, and Chapel Hill, accounts for the largest share of senior data science engineer sponsorship activity in North Carolina. This concentration reflects the presence of major tech employers, university research partnerships with NC State, Duke, and UNC, and a dense biotech and pharma sector. Charlotte is the second-largest hub, driven by financial services firms that build data science teams for risk modeling, fraud detection, and customer analytics.
How to find senior data science engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters senior data science engineer jobs in North Carolina specifically by visa sponsorship eligibility, so you're not sorting through postings from employers who don't sponsor. The platform is particularly useful for identifying roles at Research Triangle Park companies and Charlotte-based financial services firms, which represent the two main hiring centers for this role in the state. Search by job title and state to see current openings with sponsorship confirmed.
Are there any North Carolina-specific considerations for senior data science engineers seeking visa sponsorship?
North Carolina's concentration of research universities, including NC State, Duke, and UNC Chapel Hill, creates a strong local pipeline of data science talent, which means employer expectations for senior-level candidates are high. Roles tied to life sciences or pharmaceutical research in the Triangle may involve additional compliance considerations around data handling. Employers filing H-1B petitions must meet prevailing wage requirements set by the Department of Labor for the specific metro area, and Raleigh-Durham and Charlotte are classified separately, so wage levels differ between those markets.
What is the prevailing wage for sponsored senior data science engineer 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.