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Data Scientist Research Associate Jobs (NOW HIRING)

Roseman

Research Associate

South Jordan, UT · On-site

The Research Associate plays a key role in advancing the College of Dental Medicine and the ... Develop, implement, and evaluate artificial intelligence (AI) and data science applications for ...

Baylor College of Medicine

Research Associate

Houston, TX · On-site

$60K - $62K/yr

Flexible Summary A scientific research position in Molecular and Cellular Biology is available in ... Collect and compile imaging and cell culture data * Prepare reagents and solutions, and perform ...

New

Caris Life Sciences

Research Associate II

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... and data interpretation. * Hand-on experience in at least 5 of the following technologies are ...

Caris Life Sciences

Research Associate II

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... and data interpretation. * Hand-on experience in at least 5 of the following technologies are ...

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How much do data scientist research associate jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data scientist research associate in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Research Associate, and why are they important?

To thrive as a Data Scientist Research Associate, you need a solid background in statistics, machine learning, and data analysis, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of platforms like SQL and TensorFlow are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are crucial for generating actionable insights from data and advancing research objectives.

What is a Data Scientist Research Associate?

A Data Scientist Research Associate is a professional who applies statistical analysis, machine learning, and data management techniques to conduct research and extract insights from complex datasets. They often work in academic, government, or industry research settings, supporting projects by designing experiments, analyzing large volumes of data, and interpreting results. Their work helps inform decision-making, advance scientific knowledge, and develop new data-driven solutions. Typically, they collaborate with multidisciplinary teams and may contribute to publishing research findings.

What are some typical challenges faced by Data Scientist Research Associates when working on interdisciplinary projects?

Data Scientist Research Associates often collaborate with experts from fields such as engineering, biology, or social sciences. A common challenge is bridging the communication gap between disciplines, as each may have its own jargon and methodologies. Additionally, integrating and preprocessing diverse datasets can be complex due to varying data formats and quality. Overcoming these challenges requires strong communication skills, adaptability, and a willingness to learn about domain-specific concepts to ensure productive teamwork and successful project outcomes.
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What cities are hiring for Data Scientist Research Associate jobs? Cities with the most Data Scientist Research Associate job openings:
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Data Scientist Research Associate jobs near you
Infographic showing various Data Scientist Research Associate job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 7% Full Time, 87% Part Time, 2% Temporary, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

Machine Learning Data Scientist - Research Translation & Prototyping

Blueprint Technologies

Redmond, WA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Who is Blueprint? 

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We're bold, smart, agile, and fun. 

What does Blueprint do? 

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. 

Why Blueprint? 

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You'll focus on solving unique business problems while gaining hands-on experience with the world's best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won't find a better place to work and thrive than at Blueprint. 

In This Role

As a Machine Learning Data Scientist - Research Translation & Prototyping, you will work at the intersection of cutting-edge AI research and real-world application. You will partner with researchers, engineers, designers, and product stakeholders to evaluate emerging technologies, build rapid prototypes, and develop machine learning solutions that help transform experimental concepts into usable tools and experiences. This role is ideal for a hands-on builder who thrives in fast-paced, ambiguous environments and enjoys translating research, data, and novel ideas into measurable outcomes. Success requires strong technical expertise in machine learning and software engineering, the ability to design and execute experiments, and a passion for quickly validating new technologies through prototyping and evaluation.

Key Responsibilities
  • Collaborate with research, engineering, and cross-functional teams to evaluate emerging AI and machine learning technologies and determine their practical value.
  • Design, develop, and implement machine learning models, AI-powered applications, and experimental systems.
  • Build rapid prototypes and proof-of-concept solutions to validate new technologies and research concepts.
  • Fine-tune, benchmark, validate, and improve machine learning models using real-world datasets.
  • Develop evaluation frameworks, benchmarks, and success metrics for AI systems, foundation models, generative AI solutions, multimodal experiences, and agent-based workflows.
  • Design and execute quantitative and qualitative experiments to assess model performance, user engagement, technology adoption, and overall effectiveness.
  • Analyze system requirements, document technical specifications, and develop software solutions aligned with project objectives.
  • Gather, process, and analyze data to generate actionable insights and support decision-making.
  • Evaluate, troubleshoot, and improve machine learning pipelines, AI systems, and software implementations.
  • Develop, test, and maintain software applications and supporting infrastructure.
  • Create and execute test plans, perform unit testing, and support quality assurance efforts.
  • Support deployment, validation, and post-implementation monitoring of solutions, resolving issues identified during testing and rollout.
  • Stay current with advancements in machine learning, generative AI, multimodal systems, agentic workflows, and related research areas to identify opportunities for innovation and application.
Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a related technical field.
  • 5-7+ years of professional experience in machine learning, data science, applied AI, software engineering, or a related discipline.
  • Strong experience developing machine learning models and AI-powered solutions.
  • Demonstrated experience with data science methodologies, experimentation, model evaluation, and statistical analysis.
  • Hands-on software engineering experience, including coding, debugging, testing, and deployment.
  • Experience building data-intensive applications, machine learning systems, experimentation platforms, or AI-enabled products.
  • Strong programming skills and the ability to diagnose and resolve technical issues.
  • Experience evaluating, improving, and maintaining machine learning models, data pipelines, and AI applications.
  • Ability to quickly learn new technologies, adapt to changing priorities, and contribute effectively in ambiguous, fast-moving environments.
  • Strong communication skills with the ability to explain technical concepts and findings to both technical and non-technical audiences.
  • Experience working collaboratively across research, engineering, product, and business teams.
Preferred Qualifications
  • Experience translating research concepts, academic publications, or emerging technologies into working prototypes and production-ready solutions.
  • Experience with foundation models, large language models (LLMs), generative AI systems, multimodal AI, agentic workflows, and retrieval-augmented generation (RAG).
  • Proven ability to rapidly prototype and iterate on ideas using modern AI development tools and AI-assisted coding workflows.
  • Experience designing evaluation frameworks, benchmarks, and success metrics for AI systems.
  • Familiarity with model fine-tuning, experimentation, model validation, and performance optimization techniques.
  • Experience working on research-driven initiatives or innovation-focused environments.
  • Ability to ramp up quickly on new projects and deliver meaningful results within short timelines.
  • Experience supporting end-to-end machine learning solution development, from experimentation through deployment and validation.
  • Demonstrated flexibility and success working across multiple research or product domains simultaneously.
  • Availability for a long-term engagement (12+ months preferred).

Salary Range 

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $145,000- $155,000 USD annually. The salary/wage and job title for this opening will be based on the selected candidate's qualifications and experience and may be outside this range. 

Equal Opportunity Employer 

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. 

If you need assistance or a reasonable accommodation to complete the application process, please reach out to:recruiting@bpcs.com 

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: 

  • Medical, dental, and vision coverage 
  • Flexible Spending Account 
  • 401k program 
  • Competitive PTO offerings 
  • Parental Leave 
  • Opportunities for professional growth and development 

Location: Remote

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