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Biotech Data Architect Jobs (NOW HIRING)

Required Qualifications * 10+ years in data architecture, data engineering, or enterprise data ... Life sciences or other regulated-industry experience (pharma, biotech, medical device, healthcare). ...

Enterprise Solutions Architect

Boston, MA · On-site

$154K - $208K/yr

... data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D ... The Enterprise Solutions Architect serves as a strategic advisor and technical leader for our ...

... data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D ... The Enterprise Solutions Architect serves as a strategic advisor and technical leader for our ...

Data foundation and architecture: Design and implement a scalable data infrastructure that ... biotech, pharmaceutical, life sciences, or another regulated industry. * Experience implementing ...

Data Engineer

San Francisco, CA · On-site

$153K - $207K/yr

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting ... Weigh in on bigger structural decisions - warehouse architecture, semantic layer/metrics store ...

Showing results 21-40

Biotech Data Architect information

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$10

$69

$94

How much do biotech data architect jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for biotech data architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is a Biotech Data Architect?

A Biotech Data Architect is a specialized professional who designs, manages, and optimizes data systems for biotechnology organizations. They create the infrastructure to store, integrate, and analyze large volumes of biological and clinical data, ensuring data integrity and security. Their work enables researchers and scientists to access and use data efficiently for drug discovery, genomics, and other biotech applications. Biotech Data Architects collaborate closely with IT teams, scientists, and regulatory experts to meet industry-specific requirements.

What are the key skills and qualifications needed to thrive as a Biotech Data Architect?

To thrive as a Biotech Data Architect, you need expertise in data modeling, database design, and a background in life sciences or bioinformatics, often supported by a degree in computer science, biology, or a related field. Familiarity with technologies such as SQL, NoSQL databases, cloud platforms (e.g., AWS, Azure), and data integration tools, as well as certifications in data architecture, are typically required. Strong analytical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are key soft skills. These competencies ensure effective management and integration of complex biological datasets, supporting innovation and data-driven decision-making in biotech organizations.

How does a Biotech Data Architect typically collaborate with scientists and IT teams to design effective data solutions?

A Biotech Data Architect plays a pivotal role in bridging the gap between scientific research teams and IT professionals. They work closely with scientists to understand experimental workflows, data types, and analysis requirements, ensuring that data models and infrastructure support accurate, reproducible research. At the same time, they partner with IT teams to implement robust databases, data pipelines, and security measures that comply with industry standards. Effective communication and interdisciplinary collaboration are essential, as the architect must translate scientific needs into technical specifications and vice versa.

What is the difference between Biotech Data Architect vs Bioinformatics Data Analyst?

AspectBiotech Data ArchitectBioinformatics Data Analyst
CredentialsBachelor's or Master's in Bioinformatics, Data Science, or related fields; certifications in data management or cloud platformsBachelor's or Master's in Bioinformatics, Biology, or related fields; certifications in data analysis tools
Work EnvironmentDesigning data infrastructure in biotech companies, research labs, or pharmaceutical firmsAnalyzing biological data sets in research projects, biotech firms, or academic institutions
Employer & Industry UsageUsed by biotech and pharmaceutical companies to develop data systemsUsed by research teams and labs to interpret biological data

The Biotech Data Architect focuses on designing and managing data infrastructure within biotech organizations, ensuring data is accessible and secure. In contrast, the Bioinformatics Data Analyst primarily interprets biological data to support research and development. Both roles require strong data skills but differ in scope and responsibilities.

What are popular job titles related to Biotech Data Architect jobs?

For Biotech Data Architect jobs, the most frequently searched job titles are:

Infographic showing various Biotech Data Architect job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $145,556 per year, or $70 per hour.

Executive Director - Data Management, Analytics, AI & Architecture (Northern)

Eastern, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Key responsibilities

  • Lead the strategy for commercial and G&A data capabilities, transforming enterprise data into trusted insights.

  • Establish scalable data architecture, analytics, and governance standards across the organization.

  • Deliver trusted data platforms, analytics products, and self-service capabilities to empower business leaders.


Job description

Regeneron is a leading biotechnology company built on a simple but powerful mission: to use the power of science to bring new medicines to patients, over and over again. Founded and led by physician-scientists, we've turned that mission into one of the industry's most productive pipelines, nearly all of it homegrown in our own laboratories, powered by proprietary technologies like our VelociSuite® platform. From Dupixent and EYLEA to a rapidly expanding portfolio across oncology, cardiovascular and metabolic disease, neuroscience, and rare disease, our science is reaching millions of patients worldwide, and we're just getting started.

As we invest billions in new manufacturing capacity, expand our global footprint, and build the next generation of digital and technology capabilities to match the scale of our ambition, Regeneron offers a rare combination: the resources and reach of an industry leader, paired with the energy, curiosity, and relentless focus on invention of a company still writing its next chapter. This is a place where technology doesn't just support the business, it accelerates the science that changes patients' lives.

This role will sit on-site in our Sleepy Hollow, NY offices 4 days per week.

Role Description

The Executive Director of Data Management, Analytics, and Architecture will lead the strategy for commercial and G&A data capabilities at Regeneron, transforming enterprise data into trusted insights that drive business performance and operational excellence. This role partners closely with Digital & Technology leaders and senior executives to establish scalable data architecture, analytics, and governance standards that serve as a model across the organization.

The position has significant influence over how data, AI, and analytics are structured, managed, and leveraged to support commercial and operational decision-making. The leader also serves as the primary executive spokesperson for data management, analytics, and architecture across Commercial and G&A functions, including Finance, HR, Procurement, Legal, Compliance, and other corporate departments.

What You'll Lead

Own and execute the multi-year data management, analytics, AI, and enterprise data architecture strategy for Commercial and G&A functions, aligning investments with corporate objectives.

Lead and develop a high-performing team of data management, analytics, and architecture professionals, building organizational capability and delivery excellence.

Deliver trusted data platforms, analytics products, and self-service capabilities that empower business leaders across Commercial, Finance, HR, and other G&A functions.

Establish enterprise-wide data governance, stewardship, quality, lifecycle management, and master data standards to improve trust, consistency, and interoperability.

Modernize and simplify the data ecosystem through scalable cloud platforms, integration strategies, architecture standards, and executive reporting capabilities.

Advance AI, machine learning, automation, and responsible AI practices by identifying high-value use cases, managing risk, and ensuring regulatory compliance.

Drive measurable business outcomes through improved data quality, analytics adoption, automation, operational efficiency, productivity, and process standardization across global teams.

Oversee vendor partnerships, data security, architecture governance, and value realization, ensuring strategic investments deliver measurable business impact and long-term organizational value.

What You Bring

BS/BA in Computer Science, Data Science, Information Systems, or a related field required; MS. PhD or MBA preferred.

17+ years of progressive leadership in data management, data architecture, analytics, or business intelligence, including enterprise-scale programs; experience in life sciences, biotechnology, or another regulated industry is a plus.

Deep command of modern data management, analytics, and enterprise architecture capabilities (platform-agnostic, e.g., BI, cloud data platforms, data governance, data modeling, master data management).

Experience establishing enterprise data governance frameworks and reference architecture standards that scale across multiple business domains.

Strong understanding of AI, machine learning, and agentic AI concepts, including model risk, responsible AI practices, and the operational discipline, such as monitoring, validation, and lifecycle management, needed to run AI systems safely at enterprise scale.

Familiarity with regulatory and risk frameworks relevant to AI and data in regulated industries (e.g., GxP considerations, NIST AI RMF, ISO 42001) is a plus.

Experience partnering with Legal, Compliance, Security, and Privacy functions to manage data and AI risk, vendor risk, and audit readiness.

Proven ability to influence senior leaders, translate data into business outcomes, and attract top talent.

Does this sound like you? We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.

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