Data Analytics Specialist Jobs for OPT Students
Data Analytics Specialist roles are among the most OPT-friendly positions in the U.S. job market, with strong demand across tech, finance, healthcare, and retail. STEM OPT extension eligibility means you can work for up to three years without H-1B sponsorship, giving employers a long runway to evaluate your fit.
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INTRODUCTION
Are you a licensed MD looking to help drive innovation within our global organization?
ROLE
We are looking for an MD to serve as our Clinical Analytics Specialist to join the Data Discovery and Enrichment Team (DDE). The Clinical Analytics Specialist will provide support for clinical decision support (CDS) product development to improve the search and discovery experience for users of products such as ClinicalKey at the point-of-care. You will have a critical role in working with the Clinical Solutions and Education business units to provide clinical analytics support and drive growth, revenue generation, and innovation.
ABOUT THE TEAM
This team is entrusted with the validation of extracted medical information from Elsevier corpus and electronic health care records, information retrieval, creating data for gold set generation, and participating in content enrichment workflows aiding in clinical decision support.
BASIC QUALIFICATIONS
- Clinical degree required (MD, MBBS, GP). Preference given to those with formal training or significant experience in evidence-based medicine, clinical research, epidemiology, biostatistics, and the application of evidence to practice.
- Experience in semantic technologies, including text mining, ontology management is a plus.
- Excellent command of the English language in both spoken and written forms is required and some level of proficiency with another language is a plus.
- Experience with medical vocabularies such as SNOMED CT and ICD-10 is beneficial, as is knowledge of ontology modeling.
- Extensive computer skill competency. Proficiency in a Microsoft Windows environment; and strong MS Word/PowerPoint skills and ability to work with templates using an electronic content management system. Visualization and dashboarding skills (e.g. using Tableau) is a plus.
- Demonstrated problem-solving ability, sense of urgency, and ability to prioritize tasks, to work simultaneously on multiple projects, and to ensure completion of editorial team projects per tight timelines.
- The Clinical Analytics Specialist should be a clinician (MD, MBBS or GP) with experience in informatics and knowledge retrieval.
- Able to work with a variety of stakeholders at the mid and senior management level.
Responsibilities
- Applying clinical knowledge to extract and integrate data in a healthcare environment.
- Adapting domain ontologies for information extraction, data modeling and analysis.
- Working closely with data scientists, clinicians, subject matter experts (SMEs), taxonomists, and data analysts to provide insights used in automation and applications for our businesses in health markets.
- Work on the modeling, validation, and maintenance of core extracted clinical relationships to deliver an evidence-based and development of Elsevier’s healthcare knowledge graph (H-graph).
- Providing insight for ensuring high quality of automated indexing for search & discovery.
- Applying own domain knowledge and work with external clinical experts to confirm and validate clinical accuracy of content. Ensure that content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards.
- Building domain specific training data sets for machine learning (ML) models used in Point-of-care products.
- Predictive analytics and insights from combining big datasets in healthcare.
- Participating in design, prototyping, and analytics in their day to day providing insights for algorithm codification that will improve clinical workflows and content creation.
Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.

INTRODUCTION
Are you a licensed MD looking to help drive innovation within our global organization?
ROLE
We are looking for an MD to serve as our Clinical Analytics Specialist to join the Data Discovery and Enrichment Team (DDE). The Clinical Analytics Specialist will provide support for clinical decision support (CDS) product development to improve the search and discovery experience for users of products such as ClinicalKey at the point-of-care. You will have a critical role in working with the Clinical Solutions and Education business units to provide clinical analytics support and drive growth, revenue generation, and innovation.
ABOUT THE TEAM
This team is entrusted with the validation of extracted medical information from Elsevier corpus and electronic health care records, information retrieval, creating data for gold set generation, and participating in content enrichment workflows aiding in clinical decision support.
BASIC QUALIFICATIONS
- Clinical degree required (MD, MBBS, GP). Preference given to those with formal training or significant experience in evidence-based medicine, clinical research, epidemiology, biostatistics, and the application of evidence to practice.
- Experience in semantic technologies, including text mining, ontology management is a plus.
- Excellent command of the English language in both spoken and written forms is required and some level of proficiency with another language is a plus.
- Experience with medical vocabularies such as SNOMED CT and ICD-10 is beneficial, as is knowledge of ontology modeling.
- Extensive computer skill competency. Proficiency in a Microsoft Windows environment; and strong MS Word/PowerPoint skills and ability to work with templates using an electronic content management system. Visualization and dashboarding skills (e.g. using Tableau) is a plus.
- Demonstrated problem-solving ability, sense of urgency, and ability to prioritize tasks, to work simultaneously on multiple projects, and to ensure completion of editorial team projects per tight timelines.
- The Clinical Analytics Specialist should be a clinician (MD, MBBS or GP) with experience in informatics and knowledge retrieval.
- Able to work with a variety of stakeholders at the mid and senior management level.
Responsibilities
- Applying clinical knowledge to extract and integrate data in a healthcare environment.
- Adapting domain ontologies for information extraction, data modeling and analysis.
- Working closely with data scientists, clinicians, subject matter experts (SMEs), taxonomists, and data analysts to provide insights used in automation and applications for our businesses in health markets.
- Work on the modeling, validation, and maintenance of core extracted clinical relationships to deliver an evidence-based and development of Elsevier’s healthcare knowledge graph (H-graph).
- Providing insight for ensuring high quality of automated indexing for search & discovery.
- Applying own domain knowledge and work with external clinical experts to confirm and validate clinical accuracy of content. Ensure that content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards.
- Building domain specific training data sets for machine learning (ML) models used in Point-of-care products.
- Predictive analytics and insights from combining big datasets in healthcare.
- Participating in design, prototyping, and analytics in their day to day providing insights for algorithm codification that will improve clinical workflows and content creation.
Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.
How to Get Visa Sponsorship as a Data Analytics Specialist
Target employers with established OPT hiring patterns
Companies that have hired OPT students before understand e-Verify enrollment and STEM extension requirements. Focus your search on mid-size tech firms, consulting firms, and enterprises with data teams that have processed OPT paperwork previously.
Quantify your analytics impact precisely
Vague descriptions lose out to specific results. Frame your experience around business outcomes: models deployed, dashboards adopted by stakeholders, or accuracy improvements over a baseline. Numbers make your contributions concrete and easier for non-technical hiring managers to evaluate.
Match your tools to the job description exactly
Data Analytics Specialist roles vary widely in required tools. Some prioritize SQL and Tableau, others Python and Power BI. Mirror the exact tool names from the job posting in your resume so applicant tracking systems and recruiters recognize your match immediately.
Clarify your DSO reporting obligations proactively
Employers sometimes worry OPT students require complex compliance steps from them. Be ready to explain that your DSO handles reporting, your employer simply needs e-Verify enrollment, and STEM extension paperwork is straightforward. Reducing perceived friction improves your odds significantly.
Build a portfolio that demonstrates real analytical decisions
Showcase projects where you moved from raw data to a business recommendation, not just technical execution. Employers hiring Data Analytics Specialists want analysts who communicate insights clearly, so a well-documented case study outperforms a GitHub repository of notebooks.
Data Analytics Specialist jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Do Data Analytics Specialist jobs typically qualify for the STEM OPT extension?
Yes, Data Analytics Specialist roles almost always qualify for the 24-month STEM OPT extension when your degree is in a STEM-designated field such as statistics, computer science, information systems, or applied mathematics. Your employer must be enrolled in e-Verify and you must file Form I-983 with your DSO before your initial OPT EAD expires. That gives you up to three years of total work authorization.
How do I find Data Analytics Specialist roles that are open to OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters roles by sponsorship and OPT eligibility, so you are not sifting through listings that reject international candidates. Searching there saves significant time compared to applying broadly and discovering OPT restrictions late in the process.
Can I work as a Data Analytics Specialist for a client site through a staffing agency on OPT?
Yes, but third-party placement arrangements require careful documentation. Your OPT must be authorized for the correct employer, and staffing agency placements can create ambiguity about who qualifies as your employer of record. Ensure your EAD employer name matches the entity responsible for your work, and confirm the arrangement with your DSO before accepting.
What happens to my OPT if my Data Analytics Specialist contract ends before my EAD expires?
OPT allows up to 90 days of cumulative unemployment during the initial period, and up to 150 days if you have been approved for a STEM extension. A gap between contracts counts toward that limit, so it is important to start a new role or report updated employment to your DSO promptly after a contract ends.
Does a Data Analytics Specialist role at a startup qualify for OPT employment?
It can, but startups must be legitimate businesses with an actual employer-employee relationship. For STEM OPT specifically, the employer must be enrolled in e-Verify, which some early-stage startups have not yet completed. Confirm e-Verify status before accepting an offer, as working for a non-enrolled employer would invalidate your STEM extension eligibility.
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