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Data Science Contract Jobs in Massachusetts (NOW HIRING)

Vor Bio

Digital Technology Lead - Data and AI

Boston, MA · On-site

  • Medical

  • Retirement

  • PTO

Join Us in Tackling Autoimmune Disease at Its Root At Vor, we believe science can do more than ... contract review support, and functional knowledge assistants. * Regulated data and AI controls:

Vor Bio

Digital Technology Lead - Data and AI

Boston, MA · On-site

$210K - $240K/yr

... contract review support, and functional knowledge assistants. * Regulated data and AI controls ... Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Life ...

Cni

Data Manager

Natick, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A strong background in Data Science, Economics, Epidemiology, Public Health, or a related data ... Ensures data handling practices comply with applicable contract requirements, security controls ...

New

Chickasaw Nation Industries, Inc.

Data Manager

Natick, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A strong background in Data Science, Economics, Epidemiology, Public Health, or a related data ... Ensures data handling practices comply with applicable contract requirements, security controls ...

Whoop

Senior Data Product Engineer

Boston, MA · On-site

$115K - $156K/yr

You will partner closely with Product, Analytics, Data Science, Engineering, and business ... data contracts, and ensure reliable delivery of business-critical datasets. * Drive adoption of ...

Whoop

Senior Data Product Engineer

Boston, MA · On-site

$115K - $156K/yr

You will partner closely with Product, Analytics, Data Science, Engineering, and business ... data contracts, and ensure reliable delivery of business-critical datasets. * Drive adoption of ...

Ora

Sr. Site Contract and Payment Associate

Andover, MA · On-site

Scientific Rigor At Ora, we are building the future of ophthalmic clinical research. As the world ... Ora's pre-clinical and clinical models, unique methodologies, integrated clinical data solutions ...

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Showing results 21-40

All JobsData Science Contract JobsData Science Contract Jobs in Massachusetts

Data Science Contract information

See Massachusetts salary details

$25.2K

$118.9K

$219.9K

How much do data science contract jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science contract in Massachusetts is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,611.00 and $166,816.00 per year, depending on experience, location, and employer.

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Massachusetts?

The most popular types of Data Science jobs in Massachusetts are:

What are popular job titles related to Data Science Contract jobs in Massachusetts?

For Data Science Contract jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Science Contract jobs in Massachusetts look for?

The top searched job categories for Data Science Contract jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Contract jobs?

Cities in Massachusetts with the most Data Science Contract job openings:

Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Digital Technology Lead - Data and AI

Vor Bio

Boston, MA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

Join Us in Tackling Autoimmune Disease at Its Root
At Vor, we believe science can do more than manage symptoms. It can change the course of disease. By advancing telitacicept, a first- and potentially best-in-class dual BAFF/APRIL inhibitor, we are silencing upstream survival signals and stopping downstream autoimmune cascades. Together, we are addressing disease at its root cause and rewriting what is possible for patients worldwide.
When you join Vor, you're not just working on a medicine. You're part of a mission to redefine the future of autoimmune care.
Why Work at Vor?
Impact: Contribute directly to a medicine with best-in-disease Phase 3 results in myasthenia gravis and expansion into multiple autoimmune diseases.
Growth: Be part of a rapidly scaling company with opportunities to grow your career in science, clinical development, commercial strategy, and beyond.
Innovation: Work on a platform with potential beyond one indication - a therapy that has already shown consistent results across lupus, IgA nephropathy, and Sjögren's syndrome.
Belonging: Join a culture where every voice is heard, and where our shared mission unites us across functions and geographies.
Location: Boston, MA preferred
Digital Technology Lead - Data and AI
Role Summary
The Digital, Data, and Technology (DD&T) organization seeks a Director-level Data and AI Lead to define and scale enterprise data and AI capabilities in a fast-moving biotech environment. This role will establish the AI and data strategy and technical foundation needed to support clinical, regulatory, medical affairs, commercial, and executive decision-making as the company advances toward commercialization.
The Director will serve as both strategic leader and hands-on builder, partnering across functions and vendors to deliver practical data governance, reporting, and AI use cases that improve productivity, visibility, cycle time, and business decisions.
Key Responsibilities
  • AI strategy and roadmap: Develop and execute a pragmatic AI roadmap focused on productivity, business acceleration, and responsible use; prioritize a small number of high-value use cases based on business value, feasibility, readiness, and risk.
  • Enterprise productivity enablement: Lead adoption of AI tools such as Microsoft Copilot, ChatGPT Enterprise, or other approved platforms
  • Business-outcome use cases: Identify, scope, and deliver focused AI and analytics use cases that improve business outcomes, such as dossier readiness, writing acceleration, clinical operational visibility, proactive monitoring, site engagement, SOP and policy drafting, contract review support, and functional knowledge assistants.
  • Regulated data and AI controls: Partner with Quality, Legal, Information Security, and business owners to ensure data and AI solutions are secure, compliant, appropriately governed, and aligned with GxP, privacy, data integrity, and inspection-readiness expectations where applicable.
  • Data strategy: Define and own the enterprise data technology strategy aligned to company priorities, clinical development goals, commercialization readiness, and digital operating model.
  • Data foundation and architecture: Design and implement a scalable data infrastructure that integrates internal and external data sources across clinical, regulatory, medical affairs, commercial, finance, and operational domains.
  • Clinical-to-commercial reporting: Build the data capabilities required to support consistent operational and analytical reporting, including clinical trial performance, regulatory readiness, medical affairs activity, launch readiness, commercial insights, and executive dashboards.
  • Cross-functional partnership: Serve as the bridge between business functions, technology teams, vendors, and leadership; translate business needs into data products, analytics solutions, AI capabilities, and implementation roadmaps.
  • Operating model and delivery: Establish delivery practices, intake processes, success metrics, portfolio prioritization, and governance forums to ensure data and AI work is focused, transparent, and outcome-driven.

Qualifications
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Life Sciences, or a related field; advanced degree preferred.
  • 10+ years of progressive experience in data, analytics, digital technology, AI, or enterprise platforms, preferably in biotech, pharmaceutical, life sciences, or another regulated industry.
  • Experience implementing enterprise AI tools, generative AI platforms, AI assistants, automation, machine learning, or advanced analytics use cases that improve productivity, quality, cycle time, or business decision-making.
  • Experience building AI enablement programs, AI champion networks, prompt libraries, governance committees, or responsible AI adoption programs.
  • Experience with Microsoft 365 Copilot, Copilot Studio, ChatGPT Enterprise, enterprise AI assistants, knowledge management platforms, or AI-enabled workflow tools.
  • Experience defining and implementing data strategy, data platforms, reporting capabilities, data governance, and analytics operating models in a growing organization.
  • Experience with modern cloud data platforms and analytics tools such as Microsoft Azure, Microsoft Fabric, Power BI, Databricks, Snowflake, AWS, or comparable technologies.
  • Familiarity with GxP, 21 CFR Part 11, EU Annex 11, data integrity expectations, computer system validation, and audit-ready documentation.

The salary range for the Director, Digital Technology Lead is expected to be between $210,000 and $240,000 per year. Individual pay may vary based on multiple factors including but not limited to relevant job-related skills, experience, education or training, market factors, and work location.
At Vor, we support our team with robust benefits, including comprehensive health coverage, flexible paid time off, generous parental leave, and a competitive 401(k). From education assistance to wellness resources and financial security, we invest in your well-being so you can thrive at work and beyond.
As an equal opportunity employer, we at Vor Bio know that diversity inspires innovation, inclusiveness, and creativity. We invite you to come as you are. All applicants will be considered for employment agnostic to race, age, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Please visit our website at https://www.vorbio.com/ for more information.

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