H-1B Visa Data Science Lead Jobs
Data Science Lead roles sit at the intersection of technical depth and team leadership, two factors that strengthen an H-1B visa specialty occupation case. Employers filing for this title typically classify it under SOC 15-2051, and LCA wage levels III and IV are standard for lead-level positions.
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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 Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Science Lead Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Data Science Lead
Verify your SOC code before applying
Data Science Lead roles are typically filed under SOC 15-2051. Confirm that your target employer's LCA uses a code matching your actual duties, not a generic IT title, because a mismatch can trigger an RFE.
Check prevailing wage levels using OFLC Wage Search
Lead-level roles usually land at wage level III or IV. Run your job's SOC code and location through OFLC Wage Search before negotiating your offer so your salary clears the certified wage threshold in the LCA.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and affiliated entities are H-1B cap-exempt. If lottery odds concern you, use Migrate Mate to filter for Data Science Lead postings at employers with documented cap-exempt filing history.
Document your leadership scope for the specialty occupation case
USCIS requires evidence that the role needs at minimum a bachelor's degree in a specific field. For lead roles, gather org charts, project scopes, and technical deliverables showing that a degree in data science, statistics, or a directly related field is genuinely required.
Confirm E-Verify enrollment before accepting any offer
H-1B sponsorship requires your employer to be registered with USCIS. Ask HR to confirm active E-Verify enrollment during the offer stage, not after you've resigned from your current position.
Plan around the 60-day grace period when changing roles
If you're leaving a current H-1B employer, you have a 60-day grace period to secure a new sponsor filing. Make sure your new employer's I-129 is submitted before that window closes to maintain lawful status.
H-1B Visa Data Science Lead: Frequently Asked Questions
Do Data Science Lead roles qualify as H-1B specialty occupations?
Yes. Data Science Lead positions qualify because they require at minimum a bachelor's degree in a specific field such as data science, statistics, computer science, or applied mathematics. USCIS evaluates the role's actual duties, not just the title. Lead roles that involve architectural decisions, cross-functional oversight, and advanced modeling work consistently meet the specialty occupation standard.
How do I find employers that actively sponsor H-1B visas for Data Science Lead positions?
Migrate Mate shows verified LCA filing history by employer and role, so you can see which companies have filed for Data Science Lead or closely related data science titles. This is more reliable than inferring sponsorship intent from a job posting, since many listings don't disclose sponsorship status upfront.
What wage level should a Data Science Lead role be certified at on the LCA?
Most Data Science Lead roles are certified at DOL wage level III or IV, reflecting the supervisory and advanced technical scope of the position. Level I or II certifications for a lead title can raise adjudication questions. Check the prevailing wage for your specific SOC code and metro area using OFLC Wage Search before accepting an offer.
Can I use O*NET to understand whether my Data Science Lead duties support an H-1B petition?
O*NET provides the official occupational profile for data scientist roles, including required knowledge, skills, and education levels. Comparing your actual job description to the O*NET profile for SOC 15-2051 helps you assess alignment before your employer files. Strong overlap between your duties and the O*NET profile supports the specialty occupation argument in the petition.
What happens to my H-1B status if I get promoted to Data Science Lead from a lower-level role?
A promotion that changes your title, duties, or wage level is considered a material change under USCIS policy. Your employer needs to file an amended I-129 before the new role begins. Don't assume your existing approval covers the lead position. File the amendment promptly to avoid a gap in authorized employment.