H-1B Visa Data Science Manager Jobs
Data Science Manager roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in statistics, computer science, or a related field. These positions sit in high demand across tech, finance, and healthcare employers with established H-1B filing histories, making cap-subject sponsorship genuinely attainable for qualified candidates.
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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 220+ H-1B Visa Data Science Manager Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Science Manager
Verify your role meets specialty occupation
USCIS requires your job duties to directly require a specific bachelor's degree or higher. For Data Science Manager roles, document how statistical modeling, ML pipeline oversight, or data engineering leadership ties to your degree field, not just general management.
Search LCA filings by occupation code
Use the OFLC Wage Search to filter Labor Condition Application filings by the SOC code for data science managers. This shows which employers have certified wages for this exact role, not just data roles broadly.
Target employers enrolled in E-Verify
STEM-adjacent roles often sit inside companies already set up for OPT extensions. E-Verify enrollment signals an employer has immigration infrastructure in place, which typically shortens the internal approval process for H-1B sponsorship.
Use Migrate Mate to filter verified sponsors
Search Data Science Manager roles on Migrate Mate to see employers with confirmed H-1B LCA filing history for this specific job title, so you're applying to companies that have already cleared DOL certification for the role.
Negotiate offer timing around the April lottery
H-1B cap registrations open in March for an October 1 start date. If you receive an offer in Q4 or Q1, confirm your employer will register you in the next lottery cycle and clarify whether they'll file for premium processing to hit the start date.
Document your managerial scope before the I-129
USCIS scrutinizes manager titles for whether the role genuinely requires a specialized degree versus general oversight. Prepare an org chart, list the technical decisions you own, and show how your degree directly informs those decisions before your employer files Form I-129.
H-1B Visa Data Science Manager: Frequently Asked Questions
Does a Data Science Manager role qualify as an H-1B specialty occupation?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as statistics, mathematics, computer science, or data engineering. The key is that the managerial duties must flow from that specific technical background. Roles where any business degree suffices are harder to defend as specialty occupations, so the job description needs to reflect genuine technical leadership.
Which industries sponsor H-1B visas most consistently for Data Science Manager roles?
Technology, financial services, healthcare analytics, and e-commerce companies file the highest volume of LCAs for data science management positions. These sectors run large data teams where dedicated technical managers are structurally necessary. You can verify employer-specific filing activity by occupation code through the OFLC Wage Search, or browse pre-filtered listings on Migrate Mate.
How does the prevailing wage requirement affect Data Science Manager sponsorship?
Your employer must certify through a Labor Condition Application that your offered wage meets the DOL prevailing wage for the role's SOC code in the specific work location. Data Science Manager positions typically land at wage levels III or IV depending on the scope. Use the OFLC Wage Search to check the wage level your employer will likely certify before you negotiate your offer.
Can my employer file for H-1B sponsorship if I'm currently on OPT as a Data Science Manager?
Yes. If you're on standard OPT or a STEM OPT extension, your employer can register you in the H-1B lottery while you continue working. If selected, USCIS can approve the petition with an October 1 start date. If your OPT expires before then, cap-gap protections may extend your work authorization through September 30, as long as your employer files before your OPT end date.
What makes an H-1B petition for a Data Science Manager role more likely to receive an RFE?
USCIS frequently issues Requests for Evidence when a manager title doesn't clearly require a specific technical degree. If your duties include budget oversight, headcount planning, or stakeholder reporting without clear ties to data science methodology, adjudicators may question specialty occupation status. To reduce that risk, the I-129 support letter should detail the technical decisions you own and show how your degree directly qualifies you for those responsibilities.