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 JobsCompany Overview
Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, supported by a leadership team with deep experience in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugates. Our pipeline includes varegacestat, an investigational gamma secretase inhibitor for which an NDA has been accepted by the U.S. FDA; IM-1021, a clinical-stage ROR1 ADC; IM-1617, a clinical-stage solid tumor ADC; and IM-3050, a clinical-stage FAP-targeted radioligand therapy. We are also advancing a broad portfolio of early-stage ADCs pursuing undisclosed solid tumor targets.
Position Overview
As a Principal Statistical Programmer, you will serve as a senior technical expert within the individual contributor career track. You will independently develop, validate, document, and deliver high-quality SAS programming deliverables supporting the analysis and reporting of clinical trial results. The role will be accountable for the accuracy, quality, traceability, and reproducibility of its code and outputs. You will provide technical leadership on complex programming matters and serve as a technical resource to other programmers. This role will support the submission-readiness of study data packages by applying CDISC standards, applicable regulatory guidance, and internal standards. Working closely with Programming leadership, the role will contribute technical expertise to the continuous improvement of statistical programming standards, processes, tools, and infrastructure. This role may also collaborate cross-functionally with Biostatistics, Data Management, Clinical Development, and other functions.
Responsibilities
- Develop and/or view programming specifications based on the Statistical Analysis Plan and oversee the creation, validation, and delivery of CDISC-compliant SDTM and ADaM datasets, TLFs, Define.xml, and reviewer guides.
- Provide hands-on SAS programming support for key analyses, data exploration, ad hoc requests, and internal or regulatory deliverables, as needed.
- Adhere to study programming timelines and evaluate dependencies, proactively identify risks, and ensure alignment with cross-functional study plans and key milestones.
- Collaborate closely with Biostatistics, Data Management, Clinical Operations, and Safety teams to review requirements, refine specifications, and resolve data or programming issues.
- Review Data Management Plans, case report forms, data transfer specifications, external/vendor data specifications, and validation-related documentation to ensure data quality and downstream programming readiness.
- Validate CRO-generated SDTM/ADaM datasets, TLFs, and submission components using industry-standard tools such as Pinnacle 21 to access CDISC compliance and support resolution of identified issues.
- Lead technical initiatives to develop and maintain SAS macros, utilities, and programming standards, and reusable tools to improve efficiency, consistency, and scalability across studies.
- Ensure adherence to CDISC standards, regulatory expectations, departmental SOPs, and best practices for statistical programming and data traceability.
- Contribute to departmental initiatives, process improvements, and cross-functional projects beyond assigned study responsibilities.
- May be required to lead statistical programming activities for assigned clinical studies working closely with Programming leadership.
Qualifications
- A master’s degree (or higher) in Statistics, Computer Science or other closely related field to programming with minimum 4+ years of relevant pharmaceutical/biotech industry experience.
- Requires solid knowledge of statistical programming principles, clinical trial process, and regulatory requirements.
- Prior NDA submission and regulatory agency interaction experience highly desirable.
- Prior Oncology/Hematology experience highly desirable.
Knowledge And Skills
- Dynamic self-starter; agile learner; strategic and creative thinker.
- Demonstrated strong problem solving and risk-mitigation skills.
- Excellent verbal/written and interpersonal skills required to communicate and collaborate effectively with cross-functional teams (clinical operations, Scientists, Medical Monitors and Statisticians) in face-to-face conversation, by telephone, and by email.
- Good working knowledge of ICH, FDA, and GCP regulations and guidelines.
- Strong well-rounded technical skills (SAS, EDC systems, MS Word, Excel, PowerPoint, API based data extracts, ETL principles) and knowledge of industry standards (CDISC, SDTM, CDASH, ADaM).
Compensation
- Washington State Pay Range $154,230 - $177,726 USD
Join Our Experienced, Passionate Team
Working at Immunome gives you the opportunity to make a difference in the lives of cancer patients, contribute to developing best-in-class targeted cancer therapies, and work with some of the brightest and most experienced minds in antibody-drug conjugate (ADC) development. Immunome’s office is charged with the collective excitement and passion of people working together to develop life-changing cancer medicines. Our team thrives in an innovative, collaborative environment where employees are empowered to do their best work. Immunome also offers a comprehensive benefit program for you and your family, including:
- Medical, dental, and vision insurance coverage for employees and their dependents, including 100% company-paid medical premiums for employees
- A 401(k) with employer match
- Employer-paid life insurance, short- and long-term disability insurance, and AD&D
- Paid time off, company holidays, and a week-long winter break between Christmas and New Years.
- Paid parental leave
Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish).
Company Overview
Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, supported by a leadership team with deep experience in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugates. Our pipeline includes varegacestat, an investigational gamma secretase inhibitor for which an NDA has been accepted by the U.S. FDA; IM-1021, a clinical-stage ROR1 ADC; IM-1617, a clinical-stage solid tumor ADC; and IM-3050, a clinical-stage FAP-targeted radioligand therapy. We are also advancing a broad portfolio of early-stage ADCs pursuing undisclosed solid tumor targets.
Position Overview
As a Principal Statistical Programmer, you will serve as a senior technical expert within the individual contributor career track. You will independently develop, validate, document, and deliver high-quality SAS programming deliverables supporting the analysis and reporting of clinical trial results. The role will be accountable for the accuracy, quality, traceability, and reproducibility of its code and outputs. You will provide technical leadership on complex programming matters and serve as a technical resource to other programmers. This role will support the submission-readiness of study data packages by applying CDISC standards, applicable regulatory guidance, and internal standards. Working closely with Programming leadership, the role will contribute technical expertise to the continuous improvement of statistical programming standards, processes, tools, and infrastructure. This role may also collaborate cross-functionally with Biostatistics, Data Management, Clinical Development, and other functions.
Responsibilities
- Develop and/or view programming specifications based on the Statistical Analysis Plan and oversee the creation, validation, and delivery of CDISC-compliant SDTM and ADaM datasets, TLFs, Define.xml, and reviewer guides.
- Provide hands-on SAS programming support for key analyses, data exploration, ad hoc requests, and internal or regulatory deliverables, as needed.
- Adhere to study programming timelines and evaluate dependencies, proactively identify risks, and ensure alignment with cross-functional study plans and key milestones.
- Collaborate closely with Biostatistics, Data Management, Clinical Operations, and Safety teams to review requirements, refine specifications, and resolve data or programming issues.
- Review Data Management Plans, case report forms, data transfer specifications, external/vendor data specifications, and validation-related documentation to ensure data quality and downstream programming readiness.
- Validate CRO-generated SDTM/ADaM datasets, TLFs, and submission components using industry-standard tools such as Pinnacle 21 to access CDISC compliance and support resolution of identified issues.
- Lead technical initiatives to develop and maintain SAS macros, utilities, and programming standards, and reusable tools to improve efficiency, consistency, and scalability across studies.
- Ensure adherence to CDISC standards, regulatory expectations, departmental SOPs, and best practices for statistical programming and data traceability.
- Contribute to departmental initiatives, process improvements, and cross-functional projects beyond assigned study responsibilities.
- May be required to lead statistical programming activities for assigned clinical studies working closely with Programming leadership.
Qualifications
- A master’s degree (or higher) in Statistics, Computer Science or other closely related field to programming with minimum 4+ years of relevant pharmaceutical/biotech industry experience.
- Requires solid knowledge of statistical programming principles, clinical trial process, and regulatory requirements.
- Prior NDA submission and regulatory agency interaction experience highly desirable.
- Prior Oncology/Hematology experience highly desirable.
Knowledge And Skills
- Dynamic self-starter; agile learner; strategic and creative thinker.
- Demonstrated strong problem solving and risk-mitigation skills.
- Excellent verbal/written and interpersonal skills required to communicate and collaborate effectively with cross-functional teams (clinical operations, Scientists, Medical Monitors and Statisticians) in face-to-face conversation, by telephone, and by email.
- Good working knowledge of ICH, FDA, and GCP regulations and guidelines.
- Strong well-rounded technical skills (SAS, EDC systems, MS Word, Excel, PowerPoint, API based data extracts, ETL principles) and knowledge of industry standards (CDISC, SDTM, CDASH, ADaM).
Compensation
- Washington State Pay Range $154,230 - $177,726 USD
Join Our Experienced, Passionate Team
Working at Immunome gives you the opportunity to make a difference in the lives of cancer patients, contribute to developing best-in-class targeted cancer therapies, and work with some of the brightest and most experienced minds in antibody-drug conjugate (ADC) development. Immunome’s office is charged with the collective excitement and passion of people working together to develop life-changing cancer medicines. Our team thrives in an innovative, collaborative environment where employees are empowered to do their best work. Immunome also offers a comprehensive benefit program for you and your family, including:
- Medical, dental, and vision insurance coverage for employees and their dependents, including 100% company-paid medical premiums for employees
- A 401(k) with employer match
- Employer-paid life insurance, short- and long-term disability insurance, and AD&D
- Paid time off, company holidays, and a week-long winter break between Christmas and New Years.
- Paid parental leave
Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish).
See all 85+ 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.