Data Science Jobs in USA with Visa Sponsorship
Data science as a discipline encompasses statistics, machine learning, and domain-specific research, making it one of the strongest fields for visa sponsorship in the US. Whether you're applying as a data scientist or coming from a broader data science background, the interdisciplinary nature of the field means candidates from statistics, mathematics, physics, computer science, and engineering all qualify for H-1B petitions. Advanced degrees are common and provide an advantage through the H-1B advanced degree exemption lottery pool.
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Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. We’re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs. With multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals. At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know that our success is a direct result of the exceptional talents and dedication of our employees. With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money and energy into making our onsite, hybrid and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive. We’re building on our rich history, and we believe our greatest achievements are ahead of us. If you’re passionate about the opportunity to have meaningful impact on patients in need, we invite you to apply and join us. Experience and contribute to our unique culture while you develop and expand your career!
CLINICAL DATA SCIENCE SENIOR TECHNICAL IMPLEMENTATION MANAGER
Summary
As a Clinical Data Science (CDS) Senior Technical Implementation Manager, you will be responsible for supporting the CDS team's implementation of new technologies and innovations. This includes but is not limited to leveraging the CDW (Clinical Data Warehouse) platform as the primary tool for clinical trial data review, interpreting clinical programming needs from a data management and/or cross-functional perspective and translating those needs into actionable steps, and working with CDS leadership to increase awareness of these tools, innovations, and data review functionality. You will collaborate closely with CDS data managers and clinical programmers as well as members of other functional areas to create clear, detailed, and standardized specifications for displays/visualizations built in both the CDW and outside of CDW. In addition, you will serve as a member of the CDW Implementation Team to develop and deploy strategies, processes, and tools to successfully implement and adopt CDW at Ionis.
Responsibilities
- Work closely with data managers and functional area leads outside of CDS to convert data display/visualization requirements into clear, unambiguous specifications for the clinical programming team
- Work closely with clinical programmers to support the creation of data displays/visualizations that present clinical data in a clear, user-friendly manner
- Develop templates for data displays/visualizations to facilitate standardized programs and consistent outputs across clinical trials for deployment in CDW platform, if applicable
- Liaise with data managers, clinical programmers, and non-CDS functional area leads to troubleshoot and resolve issues identified in data displays/visualizations
- Support data managers, clinical programmers, and non-CDS cross-functional teams in all aspects of CDW implementation, including display and listing development, UAT, and other tasks as needed
- Identify, develop, and/or deploy material for CDW awareness to CDS and non-CDS functions with a focus on platform education and increased adoption
- Lead efforts to programmatically improve the efficiencies of CDS’s processes as they relate to data monitoring and cleaning
- Adhere to company and departmental policies and procedures
Competencies Identified For Success
- Excellent analytical and proactive problem-solving skills
- A team player with strong interpersonal skills
- Strong written and verbal communication skills
- Ability to present information, processes cross-functionally
- Excellent attention to detail
- Excellent organizational skills with the ability to multitask and prioritize
Requirements
- Bachelor's or Master's degree
- Minimum of 5 years of direct Clinical Data Management experience or equivalent, including at least 2 years of Study Lead Data Manager responsibilities
- Experience with Electronic Data Capture (EDC) systems
- Experience with receipt, import, processing of data from external data providers
- Preferred experience with data visualization/analytical tools (i.e. elluminate, Spotfire, etc.) in clinical research environment
- Experience with EDC/Clinical database build is a plus but not required
- Working knowledge of clinical programming principles and practices
Ionis offers an excellent benefits package! Follow this link for more details: Ionis Benefits
The pay scale for this position is $90,267 to $148,758
NO PHONE CALLS PLEASE. PRINCIPALS ONLY.
Ionis Pharmaceuticals, Inc. and all its subsidiaries are proud to be EEO employers.
How to Get Visa Sponsorship in Data Science
Explore the O-1 visa if you have published research
Data scientists with peer-reviewed publications, conference presentations at venues like NeurIPS or ICML, or significant open-source contributions may qualify for the O-1A extraordinary ability visa. This path has no annual cap and no lottery.
Consider EB-2 NIW if you hold a Ph.D.
Data scientists with doctoral degrees and a strong publication record can petition for an EB-2 National Interest Waiver without employer sponsorship. You'll need to demonstrate that your work has substantial merit and national importance.
Target cross-industry roles beyond big tech
Finance, healthcare, e-commerce, and logistics companies all hire data scientists and may face less competition for candidates than major tech firms. Companies like JPMorgan, UnitedHealth Group, and Wayfair actively sponsor H-1B petitions for data science positions.
Use STEM OPT strategically as a runway to sponsorship
Data science degrees are STEM-eligible, giving you up to 36 months of post-graduation work authorization. Use this period to ship production models and generate measurable business outcomes that make the sponsorship conversation straightforward.
Apply to cap-exempt data science roles at universities
University research centers and affiliated institutes are H-1B cap-exempt - no lottery, no annual cap, and you can file any time of year. Schools like Stanford, MIT, and Carnegie Mellon have growing applied data science teams.
Specialize in high-demand subfields for stronger positioning
ML engineering, NLP, computer vision, and causal inference are areas where domestic talent supply lags behind demand. Specializing in one of these subfields can make you a more compelling candidate for sponsorship than a generalist data scientist.
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Get Access To All JobsFrequently Asked Questions
Does "data science" as a field have different sponsorship dynamics than a specific "data scientist" role?
Yes. Data science as a field encompasses a broader range of positions including research scientists, applied scientists, ML engineers, and quantitative analysts, each with their own sponsorship profile. A specific "data scientist" title at a company is typically a well-defined role with clear degree requirements, making it straightforward for H-1B petitions. When searching for data science positions more broadly, you may encounter a wider variety of role scopes and should evaluate each position's specific requirements and sponsorship potential individually.
Can I qualify for data science visa sponsorship with an interdisciplinary degree like physics or economics?
Absolutely. Data science is inherently interdisciplinary, and USCIS recognizes degrees in physics, mathematics, economics, statistics, engineering, and computer science as qualifying fields for data science positions. The key is that the employer's job description clearly connects the position's duties to the skills and knowledge gained through your specific degree. Candidates with non-traditional backgrounds should highlight relevant coursework in statistics, programming, and quantitative methods in their petition documentation.
How does a master's versus a PhD affect data science sponsorship?
Both provide meaningful advantages over a bachelor's degree. A master's qualifies you for the 20,000 additional H-1B lottery slots and is sufficient for most applied data science roles. A PhD opens doors to research scientist positions at top labs and significantly strengthens O-1 extraordinary ability petitions through publications and peer review contributions. The practical difference often comes down to role type: applied positions favor master's candidates, while research-heavy roles favor PhDs.
Are data science bootcamps sufficient for visa sponsorship?
Bootcamps alone do not satisfy the H-1B bachelor's degree requirement. If you already hold a bachelor's degree in a quantitative field, a bootcamp can supplement your skills for hiring purposes, but the degree is what supports the visa petition. Candidates without a relevant degree would need to demonstrate equivalency through a combination of education and progressive work experience evaluated by a credential assessment service. A formal master's in data science is a more reliable path to both hiring and sponsorship.
Which data science specializations have the highest sponsorship demand?
Applied ML and recommendation systems at tech companies, quantitative research at financial firms, and clinical analytics at healthcare and pharma companies are the specializations with the strongest sponsorship demand. NLP and computer vision roles have grown significantly with the expansion of generative AI products. Domain-specific data science, where you combine analytical skills with deep industry knowledge, is particularly valuable because it narrows the domestic talent pool and strengthens the employer's case for sponsorship.
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