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Science Policy Jobs in Boston, MA (NOW HIRING)

Vrtx

Director, AI Governance & Policy

Boston, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Law, Public Policy, or a related field required. * Advanced degree (MBA, Master's, JD, or equivalent experience ...

Thermo Fisher Scientific

Customer Site Manager

Boston, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ensure compliance with all Thermo Fisher Scientific policies, customer requirements, and applicable regulatory standards. * Monitor site operating expenses, labor utilization, and financial ...

New

Syneos Health, Inc.

HEOR Medical Science Liaison

Boston, MA · On-site

$200 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Identify, gather, and document field-generated scientific insights to drive innovative Medical Affairs strategies while complying with industry and corporate policies and procedures. * Maintain ...

Syneos Health

Medical Science Liaison Player Coach

Boston, MA · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The MSL Player-Coach is a field-based scientific and clinical expert who supports the company ... Ensure all activities comply with company policies and applicable regulatory standards. * Complete ...

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Showing results 41-60

All JobsScience Policy JobsScience Policy Jobs in Boston, MA

Science Policy information

See Boston, MA salary details

$60.3K

$105.2K

$168.4K

How much do science policy jobs pay per year?

As of Aug 18, 2026, the average yearly pay for science policy in Boston, MA is $105,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $124,900.00 per year, depending on experience, location, and employer.

What is science policy?

Science policy refers to the development, implementation, and evaluation of public policies that affect scientific research, technological advancement, and the use of science in society. Professionals in science policy bridge the gap between scientists, policymakers, and the public to ensure that scientific knowledge informs decisions on issues such as health, environment, and technology. They may work in government agencies, non-profit organizations, academia, or industry to advocate for evidence-based policies and funding for research.

What is science policy?

Science policy involves the distribution of resources in a way that protects the best interest of the public. Public policy decisions come from federal or state government agencies. They focus on allocating government budgets to scientific research, technology, and education. School boards, universities, and nonprofit groups are frequently affected by this type of public policy, and some lawyers specialize in this area (often becoming lobbyists). Scientific organizations and lobbying firms also play a part in the process of determining science-related policy issues.

What are the key skills and qualifications needed to thrive in science policy?

To thrive in Science Policy, you need a strong background in scientific research, policy analysis, and knowledge of regulatory frameworks, often supported by an advanced degree in science or public policy. Familiarity with data analysis tools, policy management systems, and proficiency in drafting policy briefs are typically required. Exceptional communication, critical thinking, and stakeholder engagement skills help professionals effectively bridge the gap between scientific research and policy-making. These competencies are crucial for translating complex scientific information into actionable policies that address societal challenges.

What are some typical challenges faced by professionals in science policy roles?

Professionals in science policy often navigate the challenge of translating complex scientific information into actionable policy recommendations for non-expert audiences. Balancing the interests of diverse stakeholders, such as scientists, government officials, and the public, can also be demanding. Additionally, keeping up with rapidly evolving scientific developments while working within the slower pace of policy-making requires strong communication and adaptability skills. Collaboration across disciplines and agencies is common, making teamwork and negotiation essential parts of the job.

What is the difference between Science Policy vs Science Communication?

AspectScience PolicyScience Communication
Required CredentialsAdvanced degrees in science or public policy, often with policy experienceBackground in science, communication, journalism, or public relations
Work EnvironmentGovernment agencies, think tanks, NGOs, policy officesMedia outlets, science centers, public outreach organizations
Employer & Industry UsagePolicy development, legislative advising, advocacyPublic engagement, media, education, outreach

Science Policy and Science Communication both involve science but serve different roles. Science Policy focuses on shaping policies and regulations through research and advocacy, often within government or NGOs. Science Communication aims to inform and engage the public about scientific topics through media, education, and outreach. While they share a scientific background, their goals and work environments differ significantly.

What does a career in science policy look like?

A career in science policy involves analyzing and developing policies that influence scientific research, funding, and regulation. Professionals in this field often work for government agencies, think tanks, or advocacy organizations, requiring strong communication skills, knowledge of science and policy, and often a background in science or public policy. The role may include research, policy analysis, stakeholder engagement, and advocacy efforts.
More about Science Policy jobs

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

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

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

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

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

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

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

Science Policy jobs near you
Infographic showing various Science Policy job openings in Boston, MA as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% In-person job distribution, with an average salary of $105,178 per year, or $50.6 per hour.

Director, AI Governance & Policy

Vrtx

Boston, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Job Description

General / Position Summary

Vertex is entering a transformative phase in its AI journey, where responsible, trusted, and compliant AI is foundational to accelerating innovation, improving patient outcomes, and enabling enterprise-wide productivity. We are seeking a visionary and execution-focusedDirector, AI Governance & Policyto lead Vertex's enterprise AI Governance program and establish the policies, operating models, and technology platforms that enable safe, ethical, and business-enabling adoption of AI across the company.

This role will lead the governance of generative AI, agentic AI, machine learning, and AI-enabled business solutions. The Director will oversee AI policy development, risk management, governance operations, technology platforms, regulatory compliance, and Responsible AI practices while partnering closely with Data Governance, Information Security, Privacy, Legal, Compliance, Quality, and business stakeholders. The role will ensure AI innovation scales responsibly while balancing risk management with business value realization.

Key Duties & Responsibilities

Strategic Leadership

  • Define and execute the enterprise AI Governance strategy aligned with Vertex's business, data, and AI priorities.
  • Establish and evolve Vertex's Responsible AI framework, policies, standards, and governance operating model.
  • Serve as a trusted advisor to senior leaders on AI governance, risk, compliance, and emerging AI technologies.
  • Monitor industry trends, regulations, and best practices to continuously mature Vertex's AI governance capabilities.

AI Governance, Risk & Platform Ownership

  • Lead enterprise AI governance processes, including AI intake, review, approval, monitoring, and lifecycle management.
  • Define and maintain AI risk management frameworks, controls, and governance standards aligned with regulatory and industry expectations.
  • Own the strategy, roadmap, implementation, and operation of the enterprise AI Governance platform, including AI inventories, policy management, risk assessments, workflow automation, monitoring, reporting, and compliance evidence management.
  • Establish governance approaches for emerging AI technologies including generative AI, AI agents, knowledge graphs, and retrieval-augmented generation (RAG) solutions.
  • Ensure appropriate oversight, documentation, auditability, and accountability for AI systems, models, and agents deployed across the enterprise.

Responsible AI, Compliance & Cross-functional Leadership

  • Develop and maintain enterprise AI policies, standards, and guidelines supporting both regulated and non-regulated use cases.
  • Ensure compliance with evolving AI regulations, industry frameworks, and internal governance requirements.
  • Partner with Legal, Privacy, Compliance, Quality, Information Security, Data Governance, and Data & AI Product teams to embed governance-by-design into AI solutions.
  • Lead the AI Policy Council and AI Review process, ensuring effective governance, decision-making, and stakeholder alignment across the enterprise.

Culture, Training & Enablement

  • Promote AI literacy and Responsible AI adoption through training, communications, and stakeholder engagement programs.
  • Build a culture that enables innovation while maintaining trust, transparency, compliance, and accountability.

Knowledge & Skills

  • Deep expertise in AI governance, Responsible AI, risk management, and enterprise governance frameworks.
  • Strong understanding of generative AI, large language models (LLMs), AI agents, machine learning, knowledge graphs, and RAG architectures.
  • Experience designing and operating enterprise AI governance programs, policies, operating models, and governance technology platforms.
  • Knowledge of AI-related regulatory requirements and standards, including FDA, EMA, EU AI Act, HIPAA, GDPR, and GxP environments.
  • Strong understanding of data governance, privacy, security, and enterprise technology controls.
  • Proven ability to influence senior stakeholders, lead cross-functional initiatives, and drive organizational change in a matrixed environment.
  • Excellent communication, stakeholder management, and strategic leadership skills.

Education & Experience

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Law, Public Policy, or a related field required.
  • Advanced degree (MBA, Master's, JD, or equivalent experience) preferred.
  • 10+ years of experience in technology, governance, risk, compliance, data management, AI, or related disciplines.
  • 5+ years of experience leading enterprise governance, risk management, compliance, AI governance, or technology platform programs.
  • Experience owning or managing governance, risk, compliance, workflow, or policy management platforms strongly preferred.
  • Experience in biopharmaceutical, healthcare, or other highly regulated industries strongly preferred.
  • Professional certifications such as AIGP, CIPP, CRISC, CISM, ISO 42001, or related credentials are preferred.

#LI-HYBRID

Pay Range:

$184,000 - $276,000

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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