Proscia Visa Sponsorship USA
Proscia is a digital pathology software company building AI-powered tools for cancer research and diagnostics. The company sponsors a select range of visa types including H-1B and Green Cards, making it a viable option for international tech professionals targeting roles at the intersection of software and life sciences.
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This position is on-site 2-3 days in Philadelphia
About Proscia
Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology’s transition from microscope to images, and to use AI to change the way we think about cancer. We can’t change medicine alone. That’s why we’re looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind.
At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors.
About this Position
As a Senior Engineer, you will contribute to Proscia’s growing Real World Data (RWD) business, which operates as a “startup within a startup.” In this entrepreneurial environment, you will help build and scale data + AI systems that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens.
Success in this role requires independence, adaptability, and close collaboration with cross-functional teams—bringing a “build the plane while flying it” mindset while staying aligned with broader engineering initiatives.
What You’ll Do
Working at a startup like Proscia means wearing many hats. In this role, you will focus on:
- Build and deploy LLM-enabled data products/workflows that turn structured + unstructured inputs into curated, research-ready outputs.
- Develop and refine data pipelines and warehouse layers (raw curated marts) to support both analytics and AI workflows.
- Implement LLMOps/MLOps foundations: evaluation, versioning, monitoring/observability, and safe release processes for model/prompt changes.
- Deliver traceable and reproducible outputs (evidence references, run metadata, input/version tracking) so results can be explained and debugged.
- Identify and implement process improvements—automation, reliability controls, and quality checks—to accelerate delivery and reduce manual effort.
- Collaborate with core engineering, AI, and RWD stakeholders to align technical strategy and integrate solutions into the broader Proscia platform.
What We’re Seeking
We’re looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments.
We’re looking for someone with:
- Strong experience building production systems in Python.
- Demonstrated experience delivering GenAI/LLM solutions into production (beyond experimentation), such as structured extraction pipelines, retrieval/embedding-based systems, or LLM-powered analytics workflows.
- Experience owning the LLM lifecycle in production: prompt/model versioning, evaluation/regression testing, monitoring, and controlled releases.
- Experience shipping an LLM-enabled workflow end-to-end (design build deploy operate).
- Experience building systems where outputs are testable, traceable, and reproducible (evidence references, versioning, run logs).
- A pragmatic approach to reliability—handling ambiguity, conflicts, and change without breaking downstream analytics.
- Solid fundamentals in SQL, data modeling, and data warehouse patterns; experience with Snowflake or similar platforms.
- Software engineering practices: unit/integration testing, CI/CD, and containerization (Docker; Kubernetes).
- Experience with cloud platforms (AWS preferred).
- Comfort selecting and integrating the right tools to build, evaluate, deploy, and operate LLM workflows in production (we’re tooling-agnostic and prioritize end-to-end delivery over specific frameworks).
- The ability to work independently, move quickly, and collaborate effectively across teams.
Education / Bonus
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (Master’s preferred).
- Experience in life sciences/biopharma is a plus (domain experience is helpful, but not required).
Beyond Just Work
At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth.
Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction.
We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.

This position is on-site 2-3 days in Philadelphia
About Proscia
Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology’s transition from microscope to images, and to use AI to change the way we think about cancer. We can’t change medicine alone. That’s why we’re looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind.
At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors.
About this Position
As a Senior Engineer, you will contribute to Proscia’s growing Real World Data (RWD) business, which operates as a “startup within a startup.” In this entrepreneurial environment, you will help build and scale data + AI systems that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens.
Success in this role requires independence, adaptability, and close collaboration with cross-functional teams—bringing a “build the plane while flying it” mindset while staying aligned with broader engineering initiatives.
What You’ll Do
Working at a startup like Proscia means wearing many hats. In this role, you will focus on:
- Build and deploy LLM-enabled data products/workflows that turn structured + unstructured inputs into curated, research-ready outputs.
- Develop and refine data pipelines and warehouse layers (raw curated marts) to support both analytics and AI workflows.
- Implement LLMOps/MLOps foundations: evaluation, versioning, monitoring/observability, and safe release processes for model/prompt changes.
- Deliver traceable and reproducible outputs (evidence references, run metadata, input/version tracking) so results can be explained and debugged.
- Identify and implement process improvements—automation, reliability controls, and quality checks—to accelerate delivery and reduce manual effort.
- Collaborate with core engineering, AI, and RWD stakeholders to align technical strategy and integrate solutions into the broader Proscia platform.
What We’re Seeking
We’re looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments.
We’re looking for someone with:
- Strong experience building production systems in Python.
- Demonstrated experience delivering GenAI/LLM solutions into production (beyond experimentation), such as structured extraction pipelines, retrieval/embedding-based systems, or LLM-powered analytics workflows.
- Experience owning the LLM lifecycle in production: prompt/model versioning, evaluation/regression testing, monitoring, and controlled releases.
- Experience shipping an LLM-enabled workflow end-to-end (design build deploy operate).
- Experience building systems where outputs are testable, traceable, and reproducible (evidence references, versioning, run logs).
- A pragmatic approach to reliability—handling ambiguity, conflicts, and change without breaking downstream analytics.
- Solid fundamentals in SQL, data modeling, and data warehouse patterns; experience with Snowflake or similar platforms.
- Software engineering practices: unit/integration testing, CI/CD, and containerization (Docker; Kubernetes).
- Experience with cloud platforms (AWS preferred).
- Comfort selecting and integrating the right tools to build, evaluate, deploy, and operate LLM workflows in production (we’re tooling-agnostic and prioritize end-to-end delivery over specific frameworks).
- The ability to work independently, move quickly, and collaborate effectively across teams.
Education / Bonus
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (Master’s preferred).
- Experience in life sciences/biopharma is a plus (domain experience is helpful, but not required).
Beyond Just Work
At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth.
Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction.
We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.
Job Roles at Proscia Companies
How to Get Visa Sponsorship in Proscia Visa Sponsorship USA
Target roles that align with Proscia's core technology stack
Proscia builds AI and machine learning tools for digital pathology. Engineers and data scientists with experience in computer vision, medical imaging, or deep learning are the strongest fit for sponsored roles at this company.
Understand that Proscia sponsors selectively, not at scale
Proscia is a growth-stage technology company, not a large enterprise sponsor. Expect sponsorship decisions to be deliberate and role-specific. Demonstrating specialized expertise will matter more here than at a high-volume tech employer.
Highlight domain knowledge in life sciences or healthcare technology
Proscia operates in a specialized niche where software meets clinical research. Candidates who understand pathology workflows, regulatory environments, or health data standards will stand out alongside strong technical credentials during sponsorship-dependent hiring decisions.
Use Migrate Mate to find Proscia openings with confirmed sponsorship history
Not every job posting makes sponsorship eligibility clear. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you find Proscia roles where international candidates have a genuine path forward.
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Get Access To All JobsFrequently Asked Questions
Does Proscia sponsor H-1B visas?
Yes, Proscia sponsors H-1B visas. The company has an established track record of filing H-1B petitions for skilled workers in technical roles. Because Proscia sponsors selectively rather than at high volume, candidates should target positions where their specialized expertise in software engineering, AI, or life sciences technology directly aligns with the company's product roadmap.
Which visa types does Proscia sponsor?
Proscia sponsors H-1B and Green Card pathways, including EB-2 and EB-3 immigrant visas. The company also supports F-1 OPT and CPT, making it accessible to international students early in their careers. TN visas are also among the supported categories, which is relevant for Canadian and Mexican nationals in qualifying specialty occupations.
What types of roles at Proscia are most likely to receive visa sponsorship?
Sponsorship at Proscia is concentrated in technical and product-focused roles. Software engineers, machine learning researchers, and data scientists working on Proscia's AI-driven pathology platform represent the most common sponsored positions. Candidates with backgrounds in computer vision, medical imaging software, or clinical data infrastructure are particularly well-positioned to receive an offer that includes sponsorship.
How do I know if a Proscia job listing includes visa sponsorship?
Job listings do not always specify sponsorship eligibility clearly. The most reliable approach is to review Proscia's verified sponsorship history before applying. Migrate Mate aggregates real sponsorship data so you can see which companies have filed for specific visa types, helping you apply with confidence rather than guessing from a job description alone.
How do I approach the application process at Proscia as an international candidate?
Be transparent about your visa status and work authorization timeline from the first conversation. Proscia is a growth-stage company where hiring decisions move quickly, and surprises late in the process can derail an offer. If you're on OPT, communicate your expiration date early. If you're seeking H-1B sponsorship, ask directly whether the role includes it before investing time in multiple interview rounds.
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