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

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Tempus AI

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Boston, MA · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Axiom

Data Architect (Remote)

Boston, MA · On-site +1

$69.25 - $89/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider ... Serve as the primary data architecture liaison to the Product, Operations, and Data Science ...

Forward Financing

Lead Data Scientist

Boston, MA · On-site +1

$160K - $220K/yr

Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment, monitoring and ongoing maintenance * Partner with cross-functional teams including ...

Chewy

Data Scientist I

Boston, MA · On-site +1

$117K - $163K/yr

Data Scientist I Boston, MA - IT - Payment Systems - Full time - R30289 What you'll do: * Apply artificial intelligence and/or machine learning methods to design, test and scale effective, reliable ...

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 ...

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Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Quincy, MA

Remote Data Science information

See Quincy, MA salary details

$24.2K

$107.5K

$205.2K

How much do remote data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data science in Quincy, MA is $107,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,551.00 and $149,167.00 per year, depending on experience, location, and employer.

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 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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Quincy, MA? The most popular types of Data Science jobs in Quincy, MA are:
What job categories do people searching Remote Data Science jobs in Quincy, MA look for? The top searched job categories for Remote Data Science jobs in Quincy, MA are:
What cities near Quincy, MA are hiring for Remote Data Science jobs? Cities near Quincy, MA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Quincy, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,544 per year, or $51.7 per hour.

Data Scientist II, Outcomes Research

Tempus

Boston, MA • On-site, Remote

$100K - $150K/yr

Full-time

Re-posted 10 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

About Tempus and the Outcomes Research Team

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

The Outcomes Research team partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus's real-world data (RWD) offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the design and analysis of pharmacoepidemiologic and health economic outcomes research (HEOR) studies.

Responsibilities:

  • Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners.

  • Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies.

  • Work on complex problems, exercising judgment in selecting and adapting appropriate epidemiologic and health economic methodologies.

  • Partner with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients.

  • Stay current with the latest methodological advances in RWE, including causal inference and pharmacoepidemiologic methods.

  • Build analytical infrastructure, including reusable code, templates, and workflows that improve speed and quality across engagements.

  • Comply with all applicable regulations, Tempus data governance, and company procedures related to real-world data use and reporting.

Required Experience:

  • Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related quantitative field.

  • Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare datasets.

Preferred Qualifications:

  • Strong data manipulation and analytical skills tailored to observational/real-world data.

  • Deep familiarity with HEOR and RWE methodologies, including approaches to address confounding (e.g., propensity score matching, weighting, inverse probability of treatment weighting).

  • Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases.

  • Strong communication and presentation skills with the ability to translate complex methodologies and findings for non-technical stakeholders.

  • Self-driven mindset with demonstrated ability to tackle ambiguous problems and work effectively in interdisciplinary teams.

  • Experience with time-to-event analysis and survival methodologies.

  • Experience working in oncology and/or analyzing outcomes related to cancer genetics, immunology, or molecular biology.

  • Collaborative working style, eagerness to learn, and high-integrity work ethic.

  • Sharp attention to detail and a passion for delivering high-quality, timely analytics.

  • Ability to draw appropriate inferences based on study design and explicitly assess and communicate study limitations.

Nice to have:

  • Experience with version control (e.g., Git) and software testing or validation processes.

  • Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD and/or HEOR studies (e.g. using claims, EHR or registry data sources).

  • Hands-on experience contributing to regulatory submissions to the FDA or other health authorities.

  • Experience supporting data science teams in model building and validation, including feature engineering and performance assessment.

  • Client-facing or consulting experience and comfort presenting results and recommendations to external stakeholders.

#LI-BL1CHI: $90,000-$135,000NYC/SF: $100,000-$150,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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