OPT Statistical Analyst Jobs
Statistical Analyst roles qualify for OPT work authorization when the position requires a degree in statistics, mathematics, data science, or a related quantitative field. Most roles also qualify for the 24-month STEM OPT extension. Employers in finance, healthcare, and tech are among the most active sponsors.
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Get Access To All JobsINTRODUCTION
Durham, United States of America | Full time | Home-based | R1568950
ESSENTIAL FUNCTIONS OF THE JOB
- Conduct statistical programming work of clinical data using SAS Software.
- Ensure that all programs, outputs and documentation are consistent with ICH guidelines and are conducted in compliance with company SOPs.
- Generate analysis datasets according to CDISC standard and SAP.
- Implement analysis methods according to SAP, and produce summary tables, graphs and data listings using SAS; Conduct adhoc analyses.
- Validate programs and associated results produced by other programming colleagues.
- Participate in TLF shell preparation and review, and assist statistician for SAP preparation.
- Run CDISC validation programs e.g. OpenCDISC reports to ensure ADaM datasets are CDISC compliant.
- Learn, and implement Incyte standard SAS macros for efficient analyses of clinical data supervised by Lead programmers.
- Work independently to program for individual studies with minimum supervision.
- Check that the validation summary reports are clean of errors and warnings, and show proper documentation of SAS programs.
- Review individual study CDISC validation output.
MINIMUM QUALIFICATIONS
- BA/BS degree in mathematics, statistics, computer science or health related field. Or equivalent experience
- 4 – 8 years of SAS programming working experience in the pharmaceutical industry.
- Good SAS programming skills and attention to details
- Demonstrated knowledge of regulatory guidelines, including electronic submission standards.
- Strong organizational, time management, communication, and project coordination and leadership skills.
- Must be able to work well under timeline pressure.
- Must be able to work on multiple tasks while coordinating others at the same time.
COMPENSATION
- The potential base pay range for this role, when annualized, is $88,300.00 - $220,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
WHERE YOU'LL WORK
Home-based
You’ll work remotely, with the flexibility to do your best work from home. Supported by collaborative tools and a global team, you’ll stay connected while enjoying the autonomy and balance that comes with a fully remote role.
CULTURE
Culture at IQVIA is built on a shared belief: that when people are empowered with better data, smarter technology and deeper expertise, they can change what’s possible for patients. Across every team and every corner of the globe, you’ll find colleagues who genuinely care — about the mission and about each other. That’s what makes this a place where people tend to stay, grow and do the best work of their careers.
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
INTRODUCTION
Durham, United States of America | Full time | Home-based | R1568950
ESSENTIAL FUNCTIONS OF THE JOB
- Conduct statistical programming work of clinical data using SAS Software.
- Ensure that all programs, outputs and documentation are consistent with ICH guidelines and are conducted in compliance with company SOPs.
- Generate analysis datasets according to CDISC standard and SAP.
- Implement analysis methods according to SAP, and produce summary tables, graphs and data listings using SAS; Conduct adhoc analyses.
- Validate programs and associated results produced by other programming colleagues.
- Participate in TLF shell preparation and review, and assist statistician for SAP preparation.
- Run CDISC validation programs e.g. OpenCDISC reports to ensure ADaM datasets are CDISC compliant.
- Learn, and implement Incyte standard SAS macros for efficient analyses of clinical data supervised by Lead programmers.
- Work independently to program for individual studies with minimum supervision.
- Check that the validation summary reports are clean of errors and warnings, and show proper documentation of SAS programs.
- Review individual study CDISC validation output.
MINIMUM QUALIFICATIONS
- BA/BS degree in mathematics, statistics, computer science or health related field. Or equivalent experience
- 4 – 8 years of SAS programming working experience in the pharmaceutical industry.
- Good SAS programming skills and attention to details
- Demonstrated knowledge of regulatory guidelines, including electronic submission standards.
- Strong organizational, time management, communication, and project coordination and leadership skills.
- Must be able to work well under timeline pressure.
- Must be able to work on multiple tasks while coordinating others at the same time.
COMPENSATION
- The potential base pay range for this role, when annualized, is $88,300.00 - $220,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
WHERE YOU'LL WORK
Home-based
You’ll work remotely, with the flexibility to do your best work from home. Supported by collaborative tools and a global team, you’ll stay connected while enjoying the autonomy and balance that comes with a fully remote role.
CULTURE
Culture at IQVIA is built on a shared belief: that when people are empowered with better data, smarter technology and deeper expertise, they can change what’s possible for patients. Across every team and every corner of the globe, you’ll find colleagues who genuinely care — about the mission and about each other. That’s what makes this a place where people tend to stay, grow and do the best work of their careers.
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
See all 75+ OPT Statistical Analyst Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Statistical Analyst
Lead with your quantitative degree match
Statistical Analyst is a designated STEM occupation. Explicitly connect your statistics, mathematics, or data science degree to the role in your resume summary. Employers need to confirm the degree-to-job alignment for OPT authorization purposes.
Target STEM OPT-eligible employers early
Not every employer is registered with E-Verify, which is required for the 24-month STEM extension. Ask during the screening call whether the company is E-Verify enrolled. This saves time and protects your extension eligibility before you invest in the process.
Quantify your statistical methods on your resume
Hiring managers look for specific tools and techniques: regression modeling, A/B testing, survival analysis, or Bayesian methods. Listing these with measurable outcomes makes your application stronger and confirms the role is genuinely quantitative, which supports OPT classification.
Clarify your OPT timeline upfront
Tell recruiters your OPT start date and expiration early in the process. Statistical Analyst roles often involve multi-round interviews spanning weeks. Starting this conversation early helps employers plan for your authorization window without last-minute surprises on either side.
Highlight software proficiency that signals specialization
Proficiency in R, SAS, SPSS, or Python statistical libraries signals you can contribute immediately. Employers who sponsor OPT students expect a shorter ramp-up period, so demonstrating tool fluency reduces perceived hiring risk and strengthens your candidacy considerably.
Pursue industries with high OPT sponsorship rates
Pharmaceuticals, financial services, and technology consistently file high volumes of OPT and STEM extension paperwork for statistical roles. Focusing your search on these industries improves your odds of finding employers already familiar and comfortable with the sponsorship process.
Statistical Analyst OPT: Frequently Asked Questions
Does a Statistical Analyst role qualify for the STEM OPT extension?
Yes, Statistical Analyst positions qualify for the 24-month STEM OPT extension when your degree is in statistics, mathematics, data science, applied mathematics, or a closely related STEM field. Your degree must appear on the STEM Designated Degree Program List, and your employer must be enrolled in E-Verify. You apply for the extension through your DSO before your standard OPT expires.
What degree fields support OPT authorization for Statistical Analyst jobs?
Degrees in statistics, biostatistics, mathematics, applied mathematics, data science, and econometrics are the strongest matches. Degrees in computer science, engineering, or physics can also qualify if your coursework was heavily quantitative. The key requirement is that your degree field has a direct and logical connection to the analytical duties of the specific Statistical Analyst role you are accepting.
How do I find Statistical Analyst employers who are comfortable sponsoring OPT students?
Migrate Mate is the recommended platform for F-1 OPT students searching for Statistical Analyst roles, as it surfaces employers who actively work with international candidates and OPT authorization. When applying elsewhere, prioritize larger employers in pharmaceuticals, financial services, and healthcare analytics, since those industries file OPT and H-1B visa paperwork routinely and have established HR processes for managing authorization timelines.
Can I work as a Statistical Analyst on a part-time basis during OPT?
Yes, but with restrictions. During standard OPT, you must work at least 20 hours per week to maintain valid status. During the STEM OPT extension, the same 20-hour minimum applies and your employer must provide structured training through a Form I-983 training plan. Working fewer than 20 hours, or having gaps longer than 90 days on standard OPT or 150 days on the STEM extension, can jeopardize your authorization.
What happens to my OPT status if my Statistical Analyst position is eliminated?
You have a cumulative unemployment allowance of 90 days during standard OPT and an additional 60 days during the STEM extension. If your position is eliminated, notify your DSO immediately and begin your job search within that window. Roles in data-heavy industries like healthcare IT, insurance analytics, and financial modeling tend to have steady demand for statistical skills, which can shorten your search timeline.