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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.

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

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

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

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

Infographic showing various Remote Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution.

Strategy Director (Consultant) - Clinical Development - Evinova

AstraZeneca

Boston, MA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

22nd of 86 rated pharmaceutical


Job description

Introduction to role

Are you ready to make a difference in the world of digital health? As a member of the Digital Strategy Team within Evinova you will partner with both AstraZeneca R&D, Top 10 pharmaceutical companies & biotechs to develop and implement AI and digital health strategies & solutions that accelerate clinical development and enhance patient outcomes. This dynamic role combines strategy consulting & solution design, all driving value realization for Evinova.

If you have experience in Clinical Development and the ability to work with a consulting mindset & problem solve with internal and external stakeholders, this is the opportunity for you!

This is a hybrid position with a requirement to work in our Boston office three days a week.

Accountabilities

  • Strategic Partnering: Serve as a trusted advisor to both AZ and external organisations across clinical development, clinical operations, and medical. Shape digital strategies, develop operating models, and roadmaps that align with the development portfolio and individual assets.

  • Project engagement: Core member of project / engagement teams to develop & deliver digital health strategies, with the ability to develop into project leader, owning engagement delivery.

  • Digital Health Strategy & Solutioning: Define problem statements, solution options, vendor landscapes, and selection criteria for digital solutions including patient recruitment, remote data collection and monitoring, ePRO/eCOA, digital biomarkers, and patient engagement platforms.

  • AI leadership: Maintain a strong pulse on trends in AI tools transforming clinical development, operations and processes, bringing forward pragmatic, value-led innovations that deliver value across portfolios.

  • Protocol Development Support: Contribute to study protocol design where digital tools are used (e.g., endpoint rationale, sensor selection, sampling frequency, feasibility, burden, data flows, and risk management). Ensure alignment with therapeutic area strategy and regulatory expectations.

  • Protocol Feasibility and Execution: Utilize tools to support clinical development and operations teams in optimizing protocols through AI-driven solutions to minimize cost, accelerate timelines, improve patient and site experience, and minimize environmental impact without compromising scientific quality.

  • Implementation & Evaluation: Support pilots and scaled implementations of digital health technologies, including feasibility studies, validation frameworks, vendor due diligence, interoperability planning, data governance, and change management.

Essential Skills/Experience

  • Minimum education: Bachelor's degree in life sciences, engineering, data science, or related field.

  • Experience: 6+ years in Clinical Development, with a strong focus on application of digital health within healthcare (clinical development and/or clinical operations or biomarker strategy).

  • AI in clinical development: Strong AI capabilities including demonstrated understanding of the role AI will play in drug discovery and development.

  • Project & Stakeholder Management: Exceptional project delivery and communication capabilities, with a proven ability to build and maintain trusted relationships.

  • Therapeutic Area Exposure: Experience with one or more therapeutic area, across Oncology, CVRM, Respiratory/Immunology, Infectious Diseases and/or rare disease, where digital endpoints are emerging.

  • Protocol Development: Hands-on involvement contributing to or reviewing clinical protocols and operational plans where digital tools inform endpoints, assessments, or data collection.

  • Project Accountability: Demonstrated significant contributions to projects in clinical development teams, from initiation through delivery.

Desirable Skills/Experience

  • Advanced degree (MS, MPH, PhD, PharmD, MBA) is preferred.

  • Digital Health Delivery: Proventrack recordevaluating and implementing digital health solutions (e.g., wearables, sensors, ePRO/eCOA, DHT-enabled endpoints, trial deliverycapabilities, patient apps/portals), including regulatory knowledge and technical fluency.

  • Experience inpharmaceutical / healthcareconsulting, either as part of a dedicated consulting organisation (egmanagement consulting firm) or an internal pharmaceutical company consulting function.

  • Technical Landscape Expertise: Familiarity witheCOA, sensor/wearable trial design and delivery vendors; experience running RFPs and technical due diligence.

  • Validation & Qualification: Experience with analytical/clinical validation of digital measures, human factors engineering, and usability studies.

  • Product Mindset: Background in product management for digital tools or platforms used in trials or patient support.

The annual base pay (or hourly rate of compensation) for this position ranges from203,709.6 to 305,564.4 USD.Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coveragein accordance withthe terms of the applicable plans.

At AstraZeneca, we believe in the potential of our people, and you'll develop beyond what you thought possible. We make the most of your skills and passion by actively supporting you to see what you can achieve no matter where you start with us. As a Statistical Programming Director, you'll play a pivotal role in channeling our scientific capabilities to make a positive impact on changing patients' lives and join us on an exciting journey to pioneer the future of healthcare.

AstraZenecais an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailingAZCHumanResources@astrazeneca.com.

WhyEvinova(AstraZeneca)?
Evinova draws on AstraZeneca's deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during and after treatment.We know that regulators, healthcareprofessionalsand care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides their own, different digital solutions. They want solutions that work across the sector, simplify theirworkloadand benefit patients broadly. By bringing our solutions to the wider healthcare community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians andultimately patients.Evinovarepresentsa unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector.Join us on our journey of building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be. This meanswe'reopening new ways to work, pioneeringcutting edgemethodsand bringing unexpected teams together. Interested? Come and join our journey.

So,what'snext! (select one Call to Action -CTA text)

  • Are you already imagining yourself joining our team? Good, because wecan'twait to hear from you.

  • Are you ready to bringnew ideasand fresh thinking to the table? Brilliant! We have one seat available and we hopeit'syours.

#LI-Hybrid

Date Posted

22-Jul-2026

Closing Date

23-Aug-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.


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About AstraZeneca

Sourced by ZipRecruiter

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.

Industry

Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Cambridge, Cambridgeshire, GB