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Vp Data Science Jobs in Boston, MA (NOW HIRING)

Lila Sciences

Vice President, Engineering

Cambridge, MA · On-site

$196K - $253K/yr

The VP Engineering will bring deep technical experience in automation of lab science, a track ... science instrumentation, including integration and co-development of robotics and software/data ...

Lila Sciences

Vice President, Engineering

Cambridge, MA · On-site

$196K - $253K/yr

The VP Engineering will bring deep technical experience in automation of lab science, a track ... science instrumentation, including integration and co-development of robotics and software/data ...

Verastem

Vice President Data Analytics & Insight

Boston, MA · On-site

$315K - $375K/yr

Position Summary The Vice President, Market Data, Analytics & Insights is a high-impact role responsible for shaping andleading a best-in-class analytics capability that drives commercial performance ...

City Therapeutics

VP, Controller

Cambridge, MA · On-site

$270K - $325K/yr

Serve as the finance leader managing the technical accounting, financial data governance, and ... Systems : Advanced experience with life-science-optimized ERP systems (e.g., NetSuite)

City Therapeutics

VP, Controller

Cambridge, MA

$270K - $325K/yr

Serve as the finance leader managing the technical accounting, financial data governance, and ... Systems : Advanced experience with life-science-optimized ERP systems (e.g., NetSuite)

Xilio Therapeutics

SVP, Immunology

Waltham, MA · On-site

Senior Vice President, Immunology Waltham, MA Xilio Therapeutics is a clinical-stage biotechnology ... The position will report to Xilio's Chief Scientific Officer and join a talented and experienced ...

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Showing results 21-40

All JobsVp Data Science JobsVp Data Science Jobs in Boston, MA

Vp Data Science information

See Boston, MA salary details

$45.1K

$154.8K

$218.4K

How much do vp data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for vp data science in Boston, MA is $154,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,700.00 and $180,900.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Boston, MA?

The most popular types of Data Science jobs in Boston, MA are:

What are popular job titles related to Vp Data Science jobs in Boston, MA?

For Vp Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Vp Data Science jobs in Boston, MA look for?

The top searched job categories for Vp Data Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Vp Data Science jobs?

Cities near Boston, MA with the most Vp Data Science job openings:

Vp Data Science jobs near you
Infographic showing various Vp Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $154,769 per year, or $74.4 per hour.

Vice President of Technology (Boston)

Kinetica

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Company Overview

A pioneering neurotechnology organization developing scalable, human-relevant brain models that exhibit memory, learning, and cognitive functions. The company integrates tissue engineering, neural interfacing technologies, and advanced computational methods to improve the prediction of therapeutic efficacy and safety in humans.

A central component of its platform is Organoid Intelligence (OI)—an emerging field that combines human brain organoids with brain–machine interfaces to model cognitive processes in vitro. This enables discovery of novel functional biomarkers with significant potential impact on drug development for neurological and neurodegenerative diseases.

The platform is currently being adopted by multiple global pharmaceutical partners to support preclinical research and therapeutic development.

Role Summary

The Vice President of Technology will act as the scientific architect for the organization—driving platform evolution, enhancing translational relevance, and maximizing scientific and commercial impact. This executive will bring deep neuroscience expertise, cross-disciplinary leadership, and the ability to turn complex science into strategic direction and customer-facing value.

Key Responsibilities Scientific Strategy & Platform Leadership
  • Define and evolve the scientific roadmap with a focus on neurological relevance and translational utility
  • Identify and prioritize new use cases, biomarkers, and capabilities that expand platform value
  • Translate complex neuroscience into clear strategic guidance for internal teams and external stakeholders
Scientific Oversight
  • Lead development and validation of brain and peripheral nerve organoid models, neural interfaces, and functional assays
  • Oversee integration of computational tools and AI to strengthen predictive modeling
  • Ensure scientific rigor, reproducibility, and publication-grade data quality
  • Manage distributed scientific teams across multiple R&D sites
Team & Culture
  • Build, mentor, and scale high-performing teams across neurobiology, tissue engineering, and data science
  • Foster a culture of curiosity, accountability, and cross-disciplinary collaboration
  • Champion diversity in scientific thought and hiring
External Engagement
  • Represent the organization at scientific conferences, advisory boards, and industry forums
  • Strengthen partnerships with pharma, academic collaborators, and regulatory thought leaders
  • Support commercial teams with scientific narratives and platform insights
Candidate Profile Required Experience & Expertise
  • PhD or equivalent in neuroscience, neuroengineering, or a related life science discipline
  • 10+ years of leadership experience in life science platforms, tools, biotech, or pharma
  • Demonstrated success advancing neuroscience models or platforms with translational impact
  • Deep expertise in CNS and PNS biology and disease
  • Experience with brain organoids, neural interfacing, or computational neurobiology (preferred)
  • Strong understanding of pharma R&D workflows and translational research challenges
Leadership Attributes
  • Strategic, systems-level thinker able to link scientific innovation to business outcomes
  • Exceptional communicator able to bridge science, strategy, and storytelling
  • Collaborative, values-based leader comfortable in fast-paced, high-accountability environments
  • Target bonus
  • Retirement plan with employer match
  • Comprehensive medical, dental, and vision coverage
  • Life, disability, and AD&D insurance
  • Paid time off
  • Parental and family leave
  • Employee equity participation
Why This Role Matters

This organisation is not simply developing a technology—it is building the capability to meaningfully improve the prediction of human therapeutic outcomes.

The Vice President of Technology will be central to this mission: shaping scientific strategy, driving innovation, and influencing the future of neurotechnology in drug development.

The company is committed to the ethical development of brain-derived systems, with strong attention to best practices related to consciousness, sentience, and responsible innovation.

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