TetraScience Visa Sponsorship Jobs USA
TetraScience is a life sciences data cloud company that has built a steady track record of sponsoring permanent residency for skilled professionals. With a focus on scientific software and data infrastructure, it's a meaningful option for international candidates in technical roles seeking long-term U.S. career stability.
Find TetraScience JobsOverview
Showing 4 of 8+ TetraScience Visa Sponsorship Jobs USA
See all TetraScience Visa Sponsorship Jobs USA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TetraScience Visa Sponsorship Jobs USA.
Get Access To All JobsABOUT TETRASCIENCE
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
WHAT YOU WILL DO
You will join TetraScience's forward deployed teams as a senior, hands-on engineer. In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines. You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe. You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions.
- Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward.
- Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript.
- Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries.
- Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks.
- Work with product managers, solution architects, business analysts, data architects, and ML engineers to understand business requirements, recommend outcomes, and build best-in-class data products based on consensus.
- Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.
- Lead process and technology improvements supporting product quality, developer experience, and platform capabilities.
- Rally the team to finish Agile sprint commitments. Actively surface team inefficiencies and resolve them.
- Drive results. Bring pragmatic urgency to resolving blockers and unclear requirements, and make things happen.
- Provide mentorship to junior scientific data engineers and show leadership on every front.
REQUIREMENTS
- 8+ years building data products as a Data Engineer or in a similar field.
- 8+ years working in Python and SQL with a focus on data, integrations, and scientific applications.
- Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React.
- History leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery milestones.
- Experience working with non-clinical data and lab scientists.
- Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
- Familiarity with networking, CI/CD, and full stack development.
- Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
- Ability to quickly understand a highly technical product and communicate effectively with customers, product management, engineering leadership.
BENEFITS
- Competitive compensation
- Stock options in a VC-backed Series C company
- 100% employer-paid benefits for all eligible employees and immediate family members
- 401(k)
- Unlimited paid time off (PTO)
- Flexible working arrangements
- Company-paid Life Insurance, LTD/STD
The salary range for this position is $140,000 - $200,000 USD Annually. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.
ABOUT TETRASCIENCE
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
WHAT YOU WILL DO
You will join TetraScience's forward deployed teams as a senior, hands-on engineer. In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines. You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe. You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions.
- Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward.
- Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript.
- Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries.
- Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks.
- Work with product managers, solution architects, business analysts, data architects, and ML engineers to understand business requirements, recommend outcomes, and build best-in-class data products based on consensus.
- Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.
- Lead process and technology improvements supporting product quality, developer experience, and platform capabilities.
- Rally the team to finish Agile sprint commitments. Actively surface team inefficiencies and resolve them.
- Drive results. Bring pragmatic urgency to resolving blockers and unclear requirements, and make things happen.
- Provide mentorship to junior scientific data engineers and show leadership on every front.
REQUIREMENTS
- 8+ years building data products as a Data Engineer or in a similar field.
- 8+ years working in Python and SQL with a focus on data, integrations, and scientific applications.
- Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React.
- History leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery milestones.
- Experience working with non-clinical data and lab scientists.
- Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
- Familiarity with networking, CI/CD, and full stack development.
- Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
- Ability to quickly understand a highly technical product and communicate effectively with customers, product management, engineering leadership.
BENEFITS
- Competitive compensation
- Stock options in a VC-backed Series C company
- 100% employer-paid benefits for all eligible employees and immediate family members
- 401(k)
- Unlimited paid time off (PTO)
- Flexible working arrangements
- Company-paid Life Insurance, LTD/STD
The salary range for this position is $140,000 - $200,000 USD Annually. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.
Job Roles at TetraScience
See all TetraScience Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TetraScience roles.
Get Access To All JobsTips for Finding TetraScience Visa Sponsorship Jobs USA
Target roles in scientific software and data engineering
TetraScience's sponsorship activity is concentrated in technical roles tied to its life sciences data platform. Focus your applications on software engineering, data infrastructure, and scientific computing positions where the company has a genuine need for specialized talent.
Understand that TetraScience sponsors permanent residency, not H-1B
TetraScience's visa track record is built around Green Card sponsorship through EB-2 and EB-3 pathways. If you're on OPT or TN status and looking for a path to permanent residency, this company's sponsorship profile aligns well with that long-term goal.
Leverage F-1 OPT as your entry point
TetraScience has sponsored F-1 OPT workers, making it a viable target if you're a recent graduate in a STEM field. Securing a role while on OPT can position you for Green Card sponsorship as you demonstrate value within the organization.
TN visa holders should highlight cross-border technical expertise
TetraScience has sponsored TN visas, which are available to Canadian and Mexican nationals in qualifying professions. If you're a TN-eligible engineer or scientist, emphasize domain knowledge in laboratory data systems or cloud infrastructure to stand out.
Search for verified sponsoring employers before applying
Not every company lists its sponsorship history upfront. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your energy on companies like TetraScience that have an established record of supporting international hires.
Align your background with life sciences data workflows
TetraScience serves pharmaceutical and biotech clients, so candidates who understand scientific data management, lab informatics, or regulated data environments will resonate more strongly with hiring managers than generalist software applicants.
Frequently Asked Questions
Does TetraScience sponsor H-1B visas?
Based on available sponsorship data, TetraScience has not been an active H-1B visa sponsor. Its sponsorship activity is focused on Green Card pathways, specifically EB-2 and EB-3, along with F-1 OPT and TN visas. If you're currently on H-1B visa status, it's worth discussing transfer possibilities directly with the company's recruiting team, as policies can evolve.
What visa types does TetraScience sponsor?
TetraScience sponsors EB-2 and EB-3 Green Cards for permanent residency, as well as F-1 OPT for recent graduates and TN visas for Canadian and Mexican nationals in qualifying roles. Its sponsorship profile is oriented toward long-term employment rather than temporary work authorization, making it a strong fit for candidates planning a permanent U.S. career.
Which departments or roles at TetraScience are most likely to receive visa sponsorship?
Sponsorship at TetraScience is most commonly associated with technical roles in software engineering, data engineering, and scientific computing. Given that the company builds data infrastructure for life sciences organizations, candidates with backgrounds in cloud platforms, laboratory data systems, or scientific software development are the most likely to be considered for sponsored positions.
How do I find open roles at TetraScience that offer visa sponsorship?
Migrate Mate is the most direct way to find TetraScience roles filtered by confirmed sponsorship history. Rather than sorting through job listings that may not disclose sponsorship policies, you can use Migrate Mate to surface positions at employers like TetraScience that have a verified track record of supporting international candidates.
How do I approach the application timeline when targeting a Green Card sponsor like TetraScience?
Green Card sponsorship through EB-2 or EB-3 is a multi-year process, so it's important to start in a role where you can demonstrate sustained performance. Once you're hired and have established yourself, employers typically initiate the PERM labor certification process, which precedes the I-140 petition. Plan for a timeline of several years from hire to permanent residency approval.