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Data Science Remote Internship Jobs in Seattle, WA

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

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 ...

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 ...

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 ...

AI Engineer - Machine Learning 3

Redmond, WA ยท Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Product & Engineering (software engineering, platform, QA, DevOps) * Data Science & Analytics (economists, data scientists, research analysts) * Corporate Functions (HR, Finance, Legal, Marketing ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... data science. * 4-6 years of strong experience with the following machine learning topics ...

Showing results 21-40

Data Science Remote Internship information

See Seattle, WA salary details

$13

$25

$47

How much do data science remote internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data science remote internship in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

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

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.
What are the most commonly searched types of Data Science Remote jobs in Seattle, WA? The most popular types of Data Science Remote jobs in Seattle, WA are:
What job categories do people searching Data Science Remote Internship jobs in Seattle, WA look for? The top searched job categories for Data Science Remote Internship jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science Remote Internship jobs? Cities near Seattle, WA with the most Data Science Remote Internship job openings:
Infographic showing various Data Science Remote Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Senior Director of Life Science Business Development

Truveta

Seattle, WA โ€ข On-site, Remote

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Senior Director of Life Science Business Development

Truveta isย the world's first health provider led data platform with aย visionย ofย Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care.ย Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired peopleย with a special combination of health, software and big data experience whoย share ourย company values.ย 

Truveta was born in the Pacific Northwest, but we have employees who live across the country.ย  Our team enjoys the flexibility of a hybrid model and working from anywhere.ย  In person attendance is required at least once per year for an onsite meeting.ย 

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote

Who We Needย ย ย 

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference.If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.ย ย 

This Opportunityย ย 

Truveta is seeking a Senior Director of Life Sciences Business Development to accelerate growth within the pharmaceutical and biotechnology sectors. Reporting to the Vice President of Life Sciences Sales, this is a player/coach leadership role responsible for both individual revenue generation and leading a team of business development professionals.ย 

The ideal candidate is a proven commercial leader who has successfully sold Real-World Data (RWD), Real-World Evidence (RWE), analytics, SaaS, or research solutions to life sciences organizations while also building, mentoring, and scaling high-performing sales teams.ย 

This leader will carry an individual quota, directly manage a team of business development professionals, and serve as a trusted advisor to pharmaceutical, biotech, clinical development, epidemiology, HEOR, medical affairs, and data science stakeholders.ย 

The successful candidate must be comfortable discussing complex scientific, clinical, and technical topics, including observational research, epidemiology, regulatory-grade evidence generation, AI/ML applications, healthcare data assets, and real-world data methodologies.

Responsibilitiesย ย 

Business Development & Revenue Leadershipย 

    • Achieve and exceed individual revenue targets through direct management of strategic pharmaceutical and biotechnology accounts.ย 
    • Develop executive-level relationships with key stakeholders across clinical development, medical affairs, HEOR, epidemiology, market access, commercial analytics, and data science organizations.ย 
    • Lead complex, multi-stakeholder sales cycles fromย initialย engagement through contract execution.ย 
    • Develop and execute territory and account strategies that drive sustainable revenue growth.ย 
    • Represent Truveta at industry conferences, scientific meetings, and customer events.ย 

Team Leadership & Coachingย 

    • Lead, coach, and develop a team of business development professionals.ย 
    • Recruit, onboard, andย retainย top commercial talent.ย 
    • Establish performance expectations and accountability measures that drive consistent attainment.ย 
    • Participate in strategic deal reviews, pipeline inspections, and forecasting activities.ย 
    • Foster a culture of collaboration, continuous learning, and customer-centric execution.ย 

Scientific & Technical Engagementย 

    • Engage confidently with scientific, clinical, and technical audiences regarding Truveta's data assets, research capabilities, and analytical solutions.ย 
    • Translate complex healthcare data concepts into business value for life sciences customers.ย 
    • Partner closely with Research, Product, Clinical Informatics, and Data Science teams to support customer needs and strategic opportunities.ย 
    • Maintain a deep understanding of industry trends, regulatory changes, competitive offerings, and evolving customer requirements.ย 

Strategic Leadershipย 

    • Contribute to commercial strategy, market expansion initiatives, and product feedback loops.ย 
    • Provideย voice-of-customer insightsย toย executive leadership.ย 
    • Help shape go-to-market strategy and future team structure as the business scales.ย 
    • Serve as a leader and mentor across the broader Life Sciences organization.ย 

Key Qualificationsย ย 

  • 10+ years of experience selling Real-World Data, Real-World Evidence, healthcare analytics, clinical research solutions, or related technology to life sciences organizations.ย 
  • 3+ years of direct people management experience with a demonstratedย track recordย of hiring, coaching, and developing successful sales professionals.ย 
  • Proven history of exceeding revenue targets in enterprise-level life sciences sales environments.ย 
  • Strong network of relationships across pharmaceutical and biotechnology organizations.ย 
  • Demonstrated ability to engage credibly with scientific, clinical, technical, and executive stakeholders.ย 
  • Strong understanding of Real-World Data, Real-World Evidence, observational research methodologies, epidemiology, healthcare data assets, and AI-enabled analytics.ย 
  • Experience leading complex, consultative sales cycles involving multiple stakeholders and functional teams.ย 
  • Excellent communication, executive presentation, and negotiation skills.ย 
  • Willingness to travel as required.

Preferred Qualificationsย 

  • Advanced degree in a scientific, clinical, public health, healthcare, or related discipline (MS, MPH, PharmD, PhD, MD, or equivalent).ย 
  • Experience selling healthcare data, research platforms, clinical analytics, or AI-driven solutions.ย 
  • Experience building and scaling commercial teams in a high-growth environment.ย 
  • Familiarity with regulatory and evidence-generation use cases supporting pharmaceutical and biotechnology organizations.

Why Truveta?ย ย 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong,ย established leadership with decades of success.ย We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional andย everything in between.ย Join us as we build an amazing company together.ย ย 

We Offer:

  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person as soon as we are able)
  • The base pay for this position is $200,000 to $240,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. This role is eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.