H-1B Visa Data Science Engineer Jobs
Data Science Engineer roles sit squarely within H-1B visa specialty occupation requirements, combining statistical modeling, machine learning, and software engineering under a single job title. Most sponsors file in the April lottery window, though cap-exempt employers at universities and nonprofits hire year-round. Your degree field and job duties must align for the LCA to hold.
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Get Access To All JobsThe Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing 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 Cambridge, MA 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: $142,000.00 - $190,000.00
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. Read on to learn more about Biogen.
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.
The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing 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 Cambridge, MA 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: $142,000.00 - $190,000.00
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. Read on to learn more about Biogen.
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.
See all 222+ H-1B Visa Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Science Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Science Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to data science engineering duties. A degree in statistics, computer science, or applied mathematics strengthens your specialty occupation case. Unrelated degrees require detailed documentation showing how coursework maps to the role.
Check the LCA before accepting an offer
Your employer files a Labor Condition Application with DOL before submitting the I-129 petition. Verify the certified LCA lists the correct job title, worksite, and wage level so your H-1B petition matches the actual role you'll perform.
Target cap-exempt employers for year-round hiring
Universities, nonprofit research institutions, and government-affiliated organizations are exempt from the H-1B cap and annual lottery. Data science engineering roles at these employers can be sponsored any time of year, not only after the April registration window.
Use Migrate Mate to find active H-1B sponsors
Filter your job search by employers with verified H-1B LCA filing history for data science roles. Migrate Mate surfaces DOL disclosure data by occupation so you can target companies that have sponsored similar positions, not just those with general sponsorship policies.
Benchmark your wage against the OFLC prevailing level
DOL sets four wage levels for each SOC code and metro area. Data science engineering roles typically file at Level II or III. Use the OFLC Wage Search to confirm your offered salary meets or exceeds the prevailing wage for your specific location before the LCA is submitted.
H-1B Visa Data Science Engineer: Frequently Asked Questions
Does a Data Science Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, statistics, or data engineering. USCIS looks at whether a theoretical and practical application of a body of specialized knowledge is required. Job descriptions that mix generic software duties with data science responsibilities can trigger a Request for Evidence, so your employer's job description should clearly tie the role's core functions to a specific degree field.
What SOC code is typically used for Data Science Engineer H-1B petitions?
Employers most commonly file under SOC 15-2051 (Data Scientists) or 15-1243 (Database Architects), depending on how the role is defined. Some filings use 15-1252 (Software Developers) when the engineering component is dominant. The SOC code determines the prevailing wage level, so it directly affects the salary your employer must certify on the LCA. You can look up the occupation description and typical requirements on O*NET.
How do I find employers that actively sponsor H-1B visas for Data Science Engineer roles?
Search Migrate Mate to filter for employers with verified H-1B LCA filing history specifically for data science and engineering job titles. DOL publishes quarterly LCA disclosure data, and Migrate Mate maps that data to searchable employer profiles so you can see which companies have sponsored comparable roles rather than relying on self-reported sponsorship policies.
Can I change employers on H-1B if I get a better data science offer mid-status?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as they file a new I-129 petition on your behalf, as long as your current H-1B has been approved for at least 180 days and the new role is in the same or a similar occupational classification. Your new employer must file before your current H-1B expires to maintain continuous status.
Does working remotely for an H-1B-sponsored data science role create any compliance issues?
Yes. If you work from a location not listed on the certified LCA, your employer may need to file an amended I-129 petition and post the LCA notice at the new worksite. Remote work across multiple states or cities is a known compliance risk because each worksite's prevailing wage must be certified separately. Confirm with your employer's immigration counsel before changing your primary work location.