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Remote Data Science Jobs in Woburn, MA (NOW HIRING)

micro1 AI

Digital Chemistry Specialist - Remote

Lynn, MA · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Jj

Senior Director, Immunology Data & AI Systems

Cambridge, MA · On-site +1

$54.50 - $74.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

micro1 AI

AI Training Specialist - Life Sciences

Lynn, MA · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Genentech

RWD Scientist

Boston, MA · On-site +1

$115K - $214K/yr

You work within established guidelines and data science processes to ensure compliance and quality * You support knowledge sharing and continuous improvement in RWD methodology and delivery * You ...

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Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

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For Remote Data Science jobs in Woburn, MA, the most frequently searched job titles are:

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Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Woburn, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Head of US Healthcare Data Science (AI SaaS Healthcare Products)

Shift Technology

Boston, MA • On-site, Remote

$160K - $200K/yr

Full-time

Re-posted 2 days ago

Job description

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

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Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Learn more at www.shift-technology.com

This role leads the strategic expansion of our US Health AI roadmap. You will guide and scale a high-performing group of Data Scientists and Engineers focused on US Health, within our global 200+ person Data Science organization. We are looking for a pragmatic visionary, a leader who views AI not as a feature to patch onto existing software, but as the foundational architecture for the future of healthcare payment integrity. You will be responsible for moving past basic automation into true Agentic AI, balancing rapid, bleeding-edge innovation with the rigorous, explainable guardrails required in healthcare compliance.
What you'll do...

  • Define the AI Strategy: Own and execute the technical and strategic roadmap for the US Health payment integrity division, shifting the product line from passive anomaly detection to autonomous, multi-modal AI agents.
  • Lead Architectural Innovation: Champion the design and productization of robust data pipelines optimized for LLMs, ensuring the team successfully deploys advanced agentic frameworks (LangChain/LangGraph, OpenAI Agent SDK, MCP, A2A).
  • Enforce Responsible AI: Establish and oversee rigorous evaluation frameworks (including LLM-as-a-judge methodologies) to ensure all agentic decisions are completely unbiased, legally sound, secure, and fully explainable to enterprise clients.
  • Cultivate a High-Performance Team: Mentor, grow, and empower senior and junior data scientists. Foster a culture of high autonomy, rapid MVP prototyping, and continuous experimentation with next-generation AI stacks.
  • Client Advocacy & Executive Bridge: Lead high-impact client workshops, present cutting-edge prototypes, and translate complex technical architectures into clear, value-driven outcomes for healthcare payer executives and C-suite stakeholders.
  • Model-Agnostic Governance: Maintain a modular, agile product strategy, ensuring Shift's infrastructure allows for seamless integration and swapping of underlying capabilities as the market evolves.

What you bring...

  • You are an inspiring technical leader with 7+ years of Data Science experience, including a proven track record of leading teams of 7+ members for the past 5+ years with a deep understanding of Healthcare Insurance Payment Integrity / Fraud, Waste, and Abuse (FWA).
  • Advanced Generative AI Expertise: Proven hands-on experience designing and scaling production-level Large Language Models (LLMs), RAG systems, and autonomous multi-modal agent workflows.
  • Enterprise Technical Leadership: Strong background in object-oriented programming (OOP) and machine learning fundamentals, with a deep understanding of the full ML lifecycle (monitoring, versioning, and deployment).
  • Strategic Databricks & ML flow Mastery: Deep familiarity with managing enterprise AI environments utilizing Mosaic AI, Unity Catalog, Delta Lake, and leveraging MLflow for end-to-end experiment tracking and prompt engineering.
  • Exceptional Communication: A demonstrated ability to co-create products alongside clients, manage complex stakeholder expectations, and act as a bridge between deep technical execution and commercial business needs.

Highly desired skills...

  • Active contributions to open-source agentic frameworks or the broader AI research community.
  • Experience navigating complex healthcare compliance landscapes (HIPAA, HITRUST) within cloud-hosted SaaS environments (Azure/Databricks).

The range listed is for base compensation. Your actual base salary will vary based on factors including location and individual qualifications objectively assessed during the interview process.

In addition to base salary, your total rewards package will include additional components such as incentive pay and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the specific details for this position.

Base Salary Pay Range
$160,000—$200,000 USD

To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we'd like to highlight:

  • Flexible remote and hybrid working options
  • Competitive Salary and a variable component tied to personal and company performance
  • Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
  • Generous PTO and paid holidays
  • Mental health benefits
  • 2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.