OPT Strategy Jobs
Strategy roles on OPT span corporate strategy, management consulting, and business development. Most positions qualify as specialty occupations under F-1 OPT work authorization, and many employers in consulting and tech actively sponsor H-1B visa afterward. Your 12-month OPT clock starts on your employment start date, so targeting firms with strong sponsorship track records early matters.
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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 3,951+ OPT Strategy Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship in Strategy
Target firms with STEM-adjacent strategy roles
Strategy roles at tech companies, analytics firms, and data-driven consultancies often sit under STEM-designated departments. That can qualify you for a 24-month STEM OPT extension, giving you 36 months total to secure sponsorship.
Prioritize employers with H-1B sponsorship history
Not all strategy employers sponsor visas. Before applying, verify whether the firm has a track record of sponsoring H-1B visa petitions for strategy roles. Consulting firms at the Big 3 and major tech companies sponsor at high rates.
Frame your authorization window proactively
Bring up OPT early in the process, not at the offer stage. Telling a hiring manager you have 12 to 36 months of authorization upfront prevents late-stage surprises and positions sponsorship as a structured next step.
Align your degree field to the strategy role description
OPT work must be directly related to your major. A business analytics or finance degree maps cleanly to most strategy roles. If your degree is less obvious, prepare a clear explanation of how your coursework connects to the position.
Report your employer within 10 days of starting
Once you accept a strategy offer, report your employer and start date to your DSO within 10 days. Delays in updating your SEVIS record can jeopardize your OPT authorization, even if your EAD card is already in hand.
Track your unemployment days carefully
OPT allows a maximum of 90 unemployment days. Strategy job searches can run long, especially at senior levels. Start your search well before graduation so you have buffer time without burning through your authorized unemployment window.
Strategy OPT: Frequently Asked Questions
Do strategy roles qualify for the STEM OPT extension?
It depends on the employer and how the role is classified. Strategy positions at tech companies, consulting firms with analytics practices, or roles tied to a STEM-designated CIP code can qualify. The key is that your employer must be E-Verify enrolled and the role must fall under a qualifying STEM occupation code. Confirm this with your DSO before accepting an offer.
How do I find strategy employers who sponsor OPT and H-1B?
Migrate Mate filters strategy jobs by employers with active OPT sponsorship and H-1B sponsorship history, so you're not applying blind. Look for firms in management consulting, corporate strategy at large tech companies, and private equity-backed portfolio companies, which tend to have established immigration pipelines and dedicated HR processes for visa sponsorship.
Can I do strategy consulting work as an independent contractor on OPT?
Generally no. OPT regulations require that your work be for an employer, not self-employment or independent contracting. If you're placed at a client site through a staffing agency, that can be permissible, but the agency must be your legal employer of record. Freelance or project-based consulting arrangements without a formal employer relationship risk violating your OPT terms.
What happens to my OPT if my strategy role gets eliminated or my contract ends?
Your 90-day unemployment clock starts the day your employment ends. You can continue your job search within that window. If you find a new qualifying strategy role, report it to your DSO and your unemployment days stop accumulating. Exceeding 90 days terminates your OPT status, so it's important to start searching immediately and keep your DSO informed throughout.
Do I need a new EAD card if I change strategy employers on OPT?
No. Your EAD card remains valid for the duration of your OPT authorization period, regardless of how many employers you work for. When you change employers, you simply report the new employer information to your DSO within 10 days. The new employer verifies your existing EAD through Form I-9. No new card or USCIS filing is required for the employer change itself.