Senior Level Research Associate, Life Sciences Jobs
Senior level research associate, life sciences jobs place experienced scientists in charge of experimental design, cross-functional project leadership, and driving research outcomes from concept to publication or regulatory submission. Openings are concentrated in Technology & Software, Consulting & Professional Services, and Construction & Real Estate, with a mix of on-site, hybrid, and remote positions available and employers like Databricks, Databricks, and Axtria - Ingenious Insights hiring at this level now.
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About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.
Role: Delivery Head – Healthcare & Life Sciences (Data, Analytics, AI & Integration)
Location: East Coast (New York / New Jersey)
Experience: 18–25 Years
Role Overview
Persistent is seeking a seasoned Delivery Head to lead our Healthcare & Life Sciences (HLS) Data, Analytics, AI & Integration practice. This executive will drive strategic customer engagements, large-scale cloud and AI transformation programs, delivery excellence, and business growth across key HLS accounts.
Key Responsibilities
- Lead end-to-end delivery for strategic HLS Data, Analytics, AI, and Integration engagements.
- Drive enterprise data modernization and legacy-to-cloud transformations using modern data platforms.
- Own delivery governance, customer satisfaction, financial performance, and operational excellence.
- Build trusted advisor relationships with CIOs, CDOs, CTOs, and business stakeholders.
- Partner with Sales and Consulting to shape large deals, support pursuits, and drive account growth.
- Lead and mentor global teams of delivery managers, architects, and engineering leaders.
- Foster an engineering-first culture focused on innovation, automation, DataOps/MLOps, AI adoption, and reusable accelerators.
- Drive continuous improvement, talent development, and delivery best practices across the practice.
Required Experience
- 18–25 years of experience in IT Services, Digital Engineering, or Consulting.
- Bachelor's degree in Engineering, Computer Science, or a related technical discipline from a reputed institution; Master's degree preferred.
- Proven success leading large-scale Data, Analytics, AI, and Integration programs for Healthcare & Life Sciences clients.
- Strong experience managing multi-million-dollar delivery portfolios and distributed global teams.
- Demonstrated ability to drive customer success, operational excellence, and profitable growth.
Technical & Domain Expertise:
- Modern Data Platforms: Snowflake, Databricks, Microsoft Fabric, Azure Synapse.
- Cloud Platforms: Azure, AWS, and/or Google Cloud.
- Data Engineering: Spark, Python, SQL, ETL/ELT, Lakehouse architecture.
- DataOps.AI & Analytics: Machine Learning, Generative AI, LLM-enabled solutions, Power BI, Tableau.
- Integration: API-led architectures, MuleSoft, Kafka, Azure Integration Services, HL7/FHIR.
- Strong understanding of Healthcare & Life Sciences data ecosystems, interoperability, regulatory, and compliance requirements.
Ideal Candidate
- Engineering-led delivery executive with a passion for solving complex business problems through technology.
- Proven experience leading enterprise data transformation to cloud-native platforms such as Snowflake and Databricks.
- Strong executive presence with the ability to influence C-suite stakeholders and build long-term strategic partnerships.
- Growth-oriented leader with a track record of scaling teams, developing talent, and expanding strategic client relationships.
- Passionate about leveraging AI and modern engineering practices to deliver measurable business outcomes for Healthcare & Life Sciences clients.
Success Metrics
- Customer satisfaction (CSAT/NPS)
- Delivery predictability and quality
- Revenue growth and account expansion
- Gross margin improvement
- Successful cloud and AI transformation outcomes
- Team engagement and retention
- Reusable engineering assets and automation adoption
- Delivery governance and compliance
Benefits:
- Competitive salary and benefits package.
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications.
- Opportunity to work with cutting-edge technologies.
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
Our company fosters a values-driven and people-centric work environment that enables our employees to:
- Accelerate growth, both professionally and personally.
- Impact the world in powerful, positive ways, using the latest technologies.
- Enjoy collaborative innovation, with diversity and work-life wellbeing at the core.
- Unlock global opportunities to work and learn with the industry’s best.
About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.
Role: Delivery Head – Healthcare & Life Sciences (Data, Analytics, AI & Integration)
Location: East Coast (New York / New Jersey)
Experience: 18–25 Years
Role Overview
Persistent is seeking a seasoned Delivery Head to lead our Healthcare & Life Sciences (HLS) Data, Analytics, AI & Integration practice. This executive will drive strategic customer engagements, large-scale cloud and AI transformation programs, delivery excellence, and business growth across key HLS accounts.
Key Responsibilities
- Lead end-to-end delivery for strategic HLS Data, Analytics, AI, and Integration engagements.
- Drive enterprise data modernization and legacy-to-cloud transformations using modern data platforms.
- Own delivery governance, customer satisfaction, financial performance, and operational excellence.
- Build trusted advisor relationships with CIOs, CDOs, CTOs, and business stakeholders.
- Partner with Sales and Consulting to shape large deals, support pursuits, and drive account growth.
- Lead and mentor global teams of delivery managers, architects, and engineering leaders.
- Foster an engineering-first culture focused on innovation, automation, DataOps/MLOps, AI adoption, and reusable accelerators.
- Drive continuous improvement, talent development, and delivery best practices across the practice.
Required Experience
- 18–25 years of experience in IT Services, Digital Engineering, or Consulting.
- Bachelor's degree in Engineering, Computer Science, or a related technical discipline from a reputed institution; Master's degree preferred.
- Proven success leading large-scale Data, Analytics, AI, and Integration programs for Healthcare & Life Sciences clients.
- Strong experience managing multi-million-dollar delivery portfolios and distributed global teams.
- Demonstrated ability to drive customer success, operational excellence, and profitable growth.
Technical & Domain Expertise:
- Modern Data Platforms: Snowflake, Databricks, Microsoft Fabric, Azure Synapse.
- Cloud Platforms: Azure, AWS, and/or Google Cloud.
- Data Engineering: Spark, Python, SQL, ETL/ELT, Lakehouse architecture.
- DataOps.AI & Analytics: Machine Learning, Generative AI, LLM-enabled solutions, Power BI, Tableau.
- Integration: API-led architectures, MuleSoft, Kafka, Azure Integration Services, HL7/FHIR.
- Strong understanding of Healthcare & Life Sciences data ecosystems, interoperability, regulatory, and compliance requirements.
Ideal Candidate
- Engineering-led delivery executive with a passion for solving complex business problems through technology.
- Proven experience leading enterprise data transformation to cloud-native platforms such as Snowflake and Databricks.
- Strong executive presence with the ability to influence C-suite stakeholders and build long-term strategic partnerships.
- Growth-oriented leader with a track record of scaling teams, developing talent, and expanding strategic client relationships.
- Passionate about leveraging AI and modern engineering practices to deliver measurable business outcomes for Healthcare & Life Sciences clients.
Success Metrics
- Customer satisfaction (CSAT/NPS)
- Delivery predictability and quality
- Revenue growth and account expansion
- Gross margin improvement
- Successful cloud and AI transformation outcomes
- Team engagement and retention
- Reusable engineering assets and automation adoption
- Delivery governance and compliance
Benefits:
- Competitive salary and benefits package.
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications.
- Opportunity to work with cutting-edge technologies.
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
Our company fosters a values-driven and people-centric work environment that enables our employees to:
- Accelerate growth, both professionally and personally.
- Impact the world in powerful, positive ways, using the latest technologies.
- Enjoy collaborative innovation, with diversity and work-life wellbeing at the core.
- Unlock global opportunities to work and learn with the industry’s best.
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Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services7
- Construction & Real Estate5
- Science & Research3
- Accounting & Auditing3
Senior Level Research Associate, Life Sciences Jobs: Frequently Asked Questions
How do I get a senior level research associate, life sciences job?
Employers at this level want candidates who have moved beyond executing experiments to owning research programs. Demonstrating that you have designed studies independently, interpreted complex datasets, and contributed to manuscripts or regulatory filings carries real weight. Showing that you have mentored junior scientists or coordinated work across teams signals the leadership readiness these roles require. A strong publication record or portfolio of successful assay development also sharpens a candidacy considerably.
Which companies hire senior level research associate, life sciencess?
Companies hiring senior level research associate, life sciencess right now include Databricks, Databricks, and Axtria - Ingenious Insights, based on current listings on Migrate Mate as of August 2026. Hiring at this level tends to come from large pharmaceutical and biotech firms, contract research organizations, and well-funded emerging biotech companies scaling their research capabilities.
Are there remote senior level research associate, life sciences jobs?
Yes, though many roles remain tied to a laboratory or research facility. About 50% of senior level research associate, life sciences openings are remote or hybrid as of August 2026, and these positions typically involve data analysis, bioinformatics, regulatory writing, or research program coordination rather than hands-on bench work. Hybrid arrangements are common at larger organizations where some on-site collaboration is still expected.
What makes a research associate, life sciences role senior level?
A senior level research associate, life sciences role is defined by ownership and independent judgment rather than supervised execution. At this stage, you are expected to design experiments, troubleshoot complex methodological problems without escalating, contribute to strategy and project timelines, and mentor earlier-career colleagues. The scope expands from completing assigned tasks to shaping how a research program moves forward and communicating findings to broader scientific or cross-functional audiences.
Which industries hire the most senior level research associate, life sciencess?
Senior Level research associate, life sciences roles concentrate in Technology & Software, Consulting & Professional Services, and Construction & Real Estate, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they operate large research pipelines, face ongoing pressure to advance compounds or diagnostics through development stages, and require experienced scientists who can take ownership of technical workstreams with minimal oversight.