OPT Strategy Associate Jobs
Strategy Associate roles are a strong fit for F-1 OPT students with analytical or business degrees. Most positions qualify as specialty occupations under OPT work authorization, and many consulting and corporate strategy teams have experience sponsoring H-1B visas after your OPT period ends.
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A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development.
The Opportunity:
The Data Strategy & Analytics Specialist contributes to the design and execution of data strategies and analyses that enable decision-making and insight generation across a therapeutic area or molecule portfolio. Working under the Data Strategy & Analytics Lead, you will partner with cross-functional teams—translating scientific protocols into robust analytical code, cohort extractions, and reproducible pipelines using multi-modal real-world data and clinical assets. You will also contribute to the translation of scientific and business needs into analytical frameworks and data-driven solutions. This role demands strong core data science skills, analytical execution, and a growth mindset to continuously elevate team standards.
- You execute data transformations, cohort extractions, and descriptive/observational analyses leveraging real-world (EHR, Claims, etc.), clinical trial data for secondary use, and operational multi-modal domains.
- You translate analytical or study requirements into cohort definitions, derived variables, and analysis-ready datasets.
- You follow state-of-the-art coding best practices, version control, unit testing, and structured QC routines to guarantee fully reproducible analytical pipelines.
- You summarize and visualize exploratory analytical outputs, cohort characteristics, and study results to communicate findings effectively to project teams.
- You partner seamlessly with RWD Scientists and cross-functional study leads during study framing and protocol development, providing active feedback on data availability, feasibility, methodology, and execution.
- You actively contribute well-documented code snippets, analytical templates, and learnings to the internal team repository.
- You assist in identifying fit-for-purpose real-world data (RWD) sources, performing data quality evaluations, terminology mappings, and schema transformations for secondary data use.
- You partner with study teams and central data engineering functions to gather analysis requirements, specify derived variables (e.g., ADaM, ARDs), and shape clinical trial datamarts for secondary use.
- You collaborate with central data engineering and governance teams to guide multi-modal data integration, applying common data models (OMOP, CDISC) and structured mappings across clinical trial and real-world assets.
- You collaborate with internal partners to analyze data structures, document data lineage, and maintain structured, compliant, and accessible data assets to support long-term data strategy and reusability.
- You safely leverage modern AI coding tools and LLM assistants (e.g., Claude Code, Copilot) to accelerate scripting, query building, and data extraction while maintaining scientific rigor and code quality.
Who you are:
- You hold a Bachelor’s or Master’s degree in Informatics, Life Sciences, Computer Science, or a related field.
- You have 2+ years of experience working with structured data in a research or healthcare setting.
- You have solid working knowledge of R or Python, as well as SQL.
- You understand data dictionaries, mappings, or metadata tagging.
- You are familiar with data systems used in clinical or operational settings.
- You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles.
- You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain.
- You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.
- You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language.
Preferred Qualifications:
- Working knowledge of descriptive statistical methods and epidemiological concepts used in observational healthcare research (e.g., cohort identification, censoring, time-to-event concepts).
- Prior experience in cardiovascular, renal, or metabolic (CVRM) therapeutic areas.
- Familiarity with clinical terminologies and coding systems, including ICD, SNOMED CT, RxNorm, CPT, and HCPCS.
- Exposure to real-world data common data models (e.g., OMOP CDM) or CDISC standards (SDTM, ADaM).
- Familiarity with software engineering best practices (Git, unit testing) and AI-assisted coding tools (e.g., Claude Code, GitHub Copilot).
Location:
This position is based in Boston, Massachusetts. Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of Massachusetts is $89,400.00 - $166,000.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
The Position
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development.
The Opportunity:
The Data Strategy & Analytics Specialist contributes to the design and execution of data strategies and analyses that enable decision-making and insight generation across a therapeutic area or molecule portfolio. Working under the Data Strategy & Analytics Lead, you will partner with cross-functional teams—translating scientific protocols into robust analytical code, cohort extractions, and reproducible pipelines using multi-modal real-world data and clinical assets. You will also contribute to the translation of scientific and business needs into analytical frameworks and data-driven solutions. This role demands strong core data science skills, analytical execution, and a growth mindset to continuously elevate team standards.
- You execute data transformations, cohort extractions, and descriptive/observational analyses leveraging real-world (EHR, Claims, etc.), clinical trial data for secondary use, and operational multi-modal domains.
- You translate analytical or study requirements into cohort definitions, derived variables, and analysis-ready datasets.
- You follow state-of-the-art coding best practices, version control, unit testing, and structured QC routines to guarantee fully reproducible analytical pipelines.
- You summarize and visualize exploratory analytical outputs, cohort characteristics, and study results to communicate findings effectively to project teams.
- You partner seamlessly with RWD Scientists and cross-functional study leads during study framing and protocol development, providing active feedback on data availability, feasibility, methodology, and execution.
- You actively contribute well-documented code snippets, analytical templates, and learnings to the internal team repository.
- You assist in identifying fit-for-purpose real-world data (RWD) sources, performing data quality evaluations, terminology mappings, and schema transformations for secondary data use.
- You partner with study teams and central data engineering functions to gather analysis requirements, specify derived variables (e.g., ADaM, ARDs), and shape clinical trial datamarts for secondary use.
- You collaborate with central data engineering and governance teams to guide multi-modal data integration, applying common data models (OMOP, CDISC) and structured mappings across clinical trial and real-world assets.
- You collaborate with internal partners to analyze data structures, document data lineage, and maintain structured, compliant, and accessible data assets to support long-term data strategy and reusability.
- You safely leverage modern AI coding tools and LLM assistants (e.g., Claude Code, Copilot) to accelerate scripting, query building, and data extraction while maintaining scientific rigor and code quality.
Who you are:
- You hold a Bachelor’s or Master’s degree in Informatics, Life Sciences, Computer Science, or a related field.
- You have 2+ years of experience working with structured data in a research or healthcare setting.
- You have solid working knowledge of R or Python, as well as SQL.
- You understand data dictionaries, mappings, or metadata tagging.
- You are familiar with data systems used in clinical or operational settings.
- You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles.
- You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain.
- You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.
- You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language.
Preferred Qualifications:
- Working knowledge of descriptive statistical methods and epidemiological concepts used in observational healthcare research (e.g., cohort identification, censoring, time-to-event concepts).
- Prior experience in cardiovascular, renal, or metabolic (CVRM) therapeutic areas.
- Familiarity with clinical terminologies and coding systems, including ICD, SNOMED CT, RxNorm, CPT, and HCPCS.
- Exposure to real-world data common data models (e.g., OMOP CDM) or CDISC standards (SDTM, ADaM).
- Familiarity with software engineering best practices (Git, unit testing) and AI-assisted coding tools (e.g., Claude Code, GitHub Copilot).
Location:
This position is based in Boston, Massachusetts. Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of Massachusetts is $89,400.00 - $166,000.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
See all 3,957+ OPT Strategy Associate Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Strategy Associate Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Strategy Associate
Target companies with a history of H-1B sponsorship
Consulting firms and large corporations that regularly hire Strategy Associates often have established H-1B sponsorship processes. Prioritizing these employers means your OPT period is more likely to lead to long-term work authorization rather than a dead end.
Frame your degree as a direct match for the role
Strategy Associate roles typically require a degree in business, economics, finance, or a related field. Make that connection explicit in your resume and cover letter so employers immediately see your qualifications meet specialty occupation requirements for OPT work authorization.
Start your search early relative to your OPT start date
Hiring timelines for strategy roles at larger firms can run eight to twelve weeks from application to offer. Beginning your search at least three months before your OPT authorization begins gives you room to clear background checks and onboarding before day one.
Be transparent about your OPT timeline upfront
Strategy teams value planning and clarity. Disclosing your OPT end date and STEM extension eligibility early in conversations signals professionalism and lets hiring managers assess sponsorship feasibility before investing heavily in your candidacy.
Highlight quantitative skills that are hardest to source domestically
Employers are more likely to pursue sponsorship when a candidate fills a specific skill gap. If your background includes advanced modeling, data analysis, or market research expertise, lead with those skills to strengthen the case for your hire over a local candidate.
Use Migrate Mate to focus on verified OPT-friendly employers
Browsing generic job boards means filtering through hundreds of roles where sponsorship is unclear. Migrate Mate surfaces Strategy Associate positions from employers who have sponsored international candidates before, making your search significantly more efficient.
Strategy Associate OPT: Frequently Asked Questions
Does a Strategy Associate role qualify for OPT work authorization?
Yes, in most cases. Strategy Associate positions typically require a bachelor's degree or higher in business, economics, finance, or a closely related field, which satisfies the specialty occupation standard for OPT authorization. If your degree aligns with the analytical and business functions of the role, you're generally on solid ground. Roles that are vague about degree requirements can be harder to justify, so look for postings that specify a relevant field.
Am I eligible for a STEM OPT extension as a Strategy Associate?
It depends on your degree. If you graduated with a STEM-designated degree such as economics with a quantitative focus, operations research, management science, or a related field, you may qualify for the 24-month STEM extension. Business administration degrees without a STEM designation typically do not qualify. Check your degree program against the official DHS STEM designation list and confirm with your DSO before accepting an offer based on extension eligibility.
How do I find Strategy Associate jobs that are open to OPT candidates?
The most efficient approach is to use Migrate Mate, which focuses specifically on employers who have sponsored international candidates for work visas. This filters out roles where OPT and future H-1B sponsorship are unlikely, saving you the frustration of advancing through hiring processes only to learn sponsorship isn't available. Strategy roles at consulting firms, financial services companies, and large tech corporations tend to have the most established sponsorship infrastructure.
Will a Strategy Associate employer sponsor my H-1B after OPT ends?
Many do, but it's not guaranteed and varies significantly by employer size, industry, and internal policy. Large management consulting firms like McKinsey, BCG, and Bain have historically sponsored H-1B visas for high-performing associates. Smaller boutique firms or early-stage companies may lack the legal infrastructure or budget to sponsor. The H-1B is subject to an annual lottery with roughly a 25% selection rate, so even willing employers face uncertainty. Raise the sponsorship question directly during the offer stage.
Does working as a Strategy Associate count toward STEM OPT practical training requirements?
Only if you're on a STEM-designated OPT extension and the work is directly related to your STEM degree. Standard OPT requires that your employment be related to your field of study, which is a broader standard. For STEM OPT, the connection must be more specific, and your employer must participate in E-Verify and sign a formal training plan. Confirm that your Strategy Associate duties map clearly to your degree's curriculum when working with your DSO to validate the role.