data engineer

ai/ml computational science specialist Jobs in Seattle

ai/ml computational science specialist

consulting manager - ai & analytics Jobs in Seattle

consulting manager - ai & analytics

data engineer, e-commerce Jobs in Seattle

data engineer, e-commerce

ai ml computational science specialist

Accenture

<div>We Are: 
The beginning of a new Data &amp; AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data &amp; AI &mdash; backed by a $3B investment and commitment to our people to do industry-defining work.
With over 45,000 professionals dedicated to Data &amp; AI, Accenture&rsquo;s Data &amp; AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are:
As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.
Position Responsibilities:<ul><li>
Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.</li><li>
Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.</li><li>
Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.</li><li>
Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.</li><li>
Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.</li><li>
Design and implement agents and multi-agent architectures to optimize client workflows.</li></ul>
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</div>
 
<div>Job Qualifications Here&rsquo;s what you need:<ul><li>
Minimum of 3 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science</li><li>
Minimum of 2 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)</li><li>
Minimum of 2 years of experience with AI/ML and cognitive services provided by at least one cloud service provider</li><li>
Minimum of 1 year of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution</li><li>
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate&rsquo;s Degree, must have minimum 6 years work experience)</li></ul>
Bonus points if you have:<ul><li>
Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies</li></ul> 
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 05/31/2026. 
 
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture 
Role Location Annual Salary Range 
California $70,350 to $205,800 
Cleveland $59,100 to $164,600 
Colorado $63,800 to $177,800 
District of Columbia $68,000 to $189,300 
Illinois $59,100 to $177,800 
Maryland $63,800 to $177,800 
Massachusetts $63,800 to $189,300 
Minnesota $63,800 to $177,800 
New York $66,300 to $205,800 
New Jersey $68,000 to $205,800 
Washington $80,200 to $189,300
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women. 
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>

AI/ML Computational Science Specialist

Apple

We&rsquo;re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us enable that potential for realtime human understanding on Apple devices. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. 
 
Description 
 
As part of the Video Computer Vision (VCV) team, you will support our ML development and continuously improve our features. Working closely with ML algorithms engineers, data scientists and quality assurance teams, you&rsquo;ll help deploy state-of-the-art computer vision technologies on Apple devices, balancing performance with the compute and power constraints of on-device inference.&quot;,&quot;responsibilities&quot;:&quot;Develop applications and tools for algorithm evaluation, prototyping, and technology demonstrations. 
 
Support teams across Apple by integrating ML and CV components into production systems. 
 
On-device integration of CV/ML algorithms. 
 
Preferred Qualifications 
 
Experience with CoreFoundation, RealityKit and CoreML. 
 
Hands-on experience with CI/CD pipelines and practices. 
 
Experience with live camera streaming applications: Understanding of real-time video pipelines, image transformations, and rendering loops. 
 
Familiarity with common computer vision techniques (e.g., object detection, segmentation, tracking, pose estimation), sequence models for real-time inference and LLMs optimized for on-device performance. 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. 
 
Strong foundational knowledge in Computer Science. 
 
Extensive programming experience in Python, Swift, C++. 
 
Experience working with PyTorch. 
 
Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. 
 
Foundational understanding of machine learning: ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

On-Device Machine Learning Integration Engineer

Amazon

<div>
 
 Description
 
 
 
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
 
 
 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
 
 
 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
 </li>
 <li>
 You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
 </li>
 <li>
 You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
 </li>
 <li>
 You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
 </li>
 <li>
 You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
 </li>
 <li>
 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
 </li>
 <li>
 Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 </li>
 <li>
 Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
 </li>
 <li>
 Knowledge of machine learning concepts and their application to reasoning and problem-solving
 </li>
 <li>
 Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
 </li>
 <li>
 Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 </li>
 <li>
 Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
 </li>
 <li>
 Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3206663
</div>

Data Scientist I, SHAKE

Logic20/20

<div>Company Description 
We&rsquo;re a ten-time &ldquo;Best Company to Work For,&rdquo; where intelligent, talented people come together to do outstanding work&mdash;and have a lot of fun while they&rsquo;re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You&rsquo;ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. 
Job Description 
We&rsquo;re looking for a Consulting Manager to drive business growth, strategize for go-to-market, and manage client delivery. This is a highly visible, influential role entrusted with developing and delivering innovative consulting solutions. You&rsquo;ll channel your entrepreneurial spirit as you use advanced technology to solve business problems. Along the way, you&rsquo;ll have the opportunity to provide mentorship and guidance as you collaborate with your team.
Delivery Responsibilities<ul><li>
Manage client engagement for complex, transformational programs.</li><li>
Support the development of business and technical strategies, business cases, and implementation plans.</li><li>
Lead client interviews and facilitate engagement among stakeholders.</li><li>
Work with clients to document and/or discover current and future state business processes.</li><li>
Perform and manage technical project work such as developing solution concepts, reviewing vendors&rsquo; design documents, and requirements traceability.</li><li>
Support business requirements definition and request for proposal development.</li><li>
Support proposal evaluation, selection process, statement of work development, and vendor contract negotiation.</li><li>
Support or act as project manager to develop project plans, key milestones, and project control structure.</li><li>
Transfer knowledge, capabilities, and skills to improve others&rsquo; knowledge and skill levels.</li></ul>
Business Development Responsibilities<ul><li>
Contribute to the business development process as a subject matter expert (SME).</li><li>
Support proposals and business development for utility clients.</li></ul> 
About the Team
The Logic20/20 AI &amp; Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it&rsquo;s all in a day&rsquo;s work. As part of our team, you&rsquo;ll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you&rsquo;re ready to level up in your career, you&rsquo;ll have access to the training, the project opportunities, and the mentorship to get you where you want to go.
&ldquo;We build an environment where we really operate as one team, building up each other&rsquo;s careers and capabilities.&rdquo; &ndash; Adam Cornille, Managing Director, AI &amp; Analytics 
Qualifications 
Required Qualifications<ul><li>
5-10 years of experience in a consulting environment with proven experience as a technical project manager</li><li>
Exposure or experience with Python, SQL, or R for data analysis (or expert Excel)</li><li>
Demonstrated interest in cloud technologies, data science, machine learning, or data engineering</li><li>
Strong presentation and communication skills</li><li>
Experience in delivering enterprise-level, end-to-end (design to go-live) technical solutions</li><li>
Experience creating business requirement documents</li><li>
Strong understanding of and experience in SDLC methodologies (Agile, Waterfall)</li><li>
Proficiency in various PM tools, such as Azure DevOps, Jira, etc.</li><li>
Ability to travel based on client and practice demands</li></ul>
Preferred Qualifications<ul><li>
Scrum master (CSM or PSM) or Project Management Professional (PMP) certification</li><li>
Previous experience working within the energy and/or utilities industry</li><li>
Experience working in a production environment as a data analyst or developer</li></ul> 

Additional Information 
At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $128,000 - $150,772. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.
All your information will be kept confidential according to EEO guidelines.<div></div>
Learn more about life at Logic20/20!
Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career!

Core Values
At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity &amp; Foster a Culture of We. These values were generated and agreed upon by our employees&mdash;and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values.

Equal Opportunity Statement
We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
To learn more about our DE&amp;I initiatives, please visit: https://www.logic2020.com/company/diversity-equity-inclusion

Privacy Policy
During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.</div>

Consulting Manager - AI & Analytics

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The AWS Worldwide Specialists Finance (WWSO) team is looking for a Finance Manager to collaborate with senior business and finance leaders in the Specialists organization. You'll spearhead data-driven investment decisions, financial planning, and controllership, directly impacting our global strategy and revenue growth. 
 
Key job responsibilities 
<ul><li>Develop and maintain key performance indicators (KPIs) and analytics dashboards for WWSO Core leadership, including productivity metrics</li><li>Design and implement advanced financial models and analytical tools to support critical decision-making</li><li>Create and implement business mechanisms that are scalable to help your business partners make data-driven decisions</li><li>Conduct in-depth analysis and present findings directly to senior leaders</li><li>Lead the annual financial planning and budgeting process</li></ul> 
A day in the life 
<ul><li>Support existing business review mechanisms (WBR, MBR etc.) and build new metric frameworks for Geo Specialist coverage. Work with teams on get-to-green plans, and measuring and assessing future risks.</li><li>Analyze key pipeline and productivity metrics to drive business investment and outcomes</li><li>High visibility with the AWS Specialist and Partner Finance Director and Go-to-Market Specialists leaders</li></ul> 
About the team 
This role sits within a deeply collaborative team that operates at the intersection of strategy and execution, forging senior-level business partnerships and enabling Go-To-Market solutions spanning the full portfolio of AWS Services and the corresponding Sales teams.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of tax, finance or a related analytical field experience</li><li>Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience</li><li>6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience</li><li>Knowledge of SQL/ETL</li><li>Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)</li><li>Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results</li><li>MBA, or CPA</li><li>6+ years of applying key financial performance indicators (KPIs) to analyses experience</li><li>6+ years of building financial and operational reports/data sets that inform business decision-making experience</li><li>6+ years of creating process improvements with automation and analysis experience</li><li>7+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 104,900.00 - 179,500.00 USD annually 
USA, VA, Arlington - 95,400.00 - 163,200.00 USD annually 
USA, WA, Seattle - 95,400.00 - 163,200.00 USD annually</div>

Finance Manager, ASWS WWSO Finance

University Of Washington

<div>Job Description
As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world.
UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty.
UW Medicine works to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty medical care to people of the region, and preparing tomorrow&rsquo;s physicians, scientists and other health professionals. Within the large UW Medicine health system, the School of Medicine (SoM) is a world leader in biomedical research, with the largest biomedical research program at a public university based on National Institutes of Health funding and ranking among the top research universities internationally.
The Clinical Trials Office (CTO) supports the clinical research mission of UW Medicine. The CTO is an operational unit within the SoM&rsquo;s Office of Research and Graduate Education charged with providing multi-service support to clinical researchers bringing important new therapies to our patients in compliance with evolving regulatory requirements.
This position is a specialist role for the institutional clinical research billing and revenue cycle management within the CTO Clinical Research Budget and Billing (CRBB) program. The position will require experience in systems complexity, including OnCore and its interface with Epic, understanding and operationalizing a billing grid, and other systems designed to improve and enhance institutional and multi-institutional clinical research billing and post-award services and support. Ability to work collaboratively in a group setting in a fast-paced environment is crucial in this role.
Clinical Trials Office is a central clinical research operation with compliance responsibilities and services across the vast portfolio of clinical trials in UW Medicine. The CTO operation has direct impact on UW reputation with major global biotech and biopharma sponsors, the availability of funded clinical trial opportunities in UW pipeline, and UW patients' access to novel therapies. In addition, the CTO plays a key role in mitigating institutional financial and reputational risks by ensuring strict compliance with the CMS and the FDA regulations and guidelines. CTO Clinical Research Billing Specialist is a key position in maintaining secure and fully compliant CTO operation.
POSITION PURPOSE
The Clinical Research Billing Specialist position will enable the Clinical Research Billing Manager and Lead to coordinate and engage in the planning and implementation of new processes and systems without negatively impacting day-to-day unit management, responsiveness to customer concerns, proper training of new and existing members of the team and quality control of the unit's output. This position will provide appropriate handling of customer concerns possible due to the incumbent's extensive experience. The role will assist in managing the significant change CRBB has undergone and will assist in planning for and accommodating the new work and work flows that will be outcomes of upcoming systems changes (e.g., CTMS Target 3 rollout). The Clinical Research Billing Specialist will:
<ul><li>Support Billing team through day-to-day problem-solving in collaboration with or in the absence of Clinical Research Billing Manager and Lead;
</li><li>Maintain a partial portfolio of research billing review, while managing unit work assignments and performing quality control review;
</li><li>Be a day-to-day resource to the Billing team; and
</li><li>Identify inconsistencies across the work product created by team members and recommend solutions in collaboration with colleagues and the unit's Manager and Lead
</li></ul>DUTIES AND RESPONSIBILITIES
Epic Research Billing Workflows (30%)
<ul><li>Research Billing Review:
<ul><li>Ensure charges route according to study billing grid, and in accordance with Epic charge documentation
</li><li>Prioritize high-dollar and aging accounts
</li></ul></li><li>Charge Review and Claim Edit: Ensure research charges/claims have required coding for billing
</li><li>No Rules and other escalations: Handle research billing questions escalated from Research Billing Coordinators and other departments
</li></ul>Epic Single Business Office (SBO) Research Invoicing Workflows (30%)
<ul><li>Ensure timely generation of SBO invoices
</li><li>Receive and process invoice corrections, including claims of &ldquo;missing&rdquo; charges
</li><li>Process invoice payments
</li><li>Follow up on aging research invoices to ensure payment
</li></ul>OnCore Clinical Trials Management System (CTMS)/Epic Interface (20%)
<ul><li>Ensure accurate handoff from OnCore to Epic when study is activated or amended
</li><li>Ensure accurate handoff from OnCore to Epic when subject enrollment updated
</li><li>Perform Quality Control (QC) of study and enrollment records, providing feedback to study teams as needed
</li></ul>Patient Claims Review (10%)
<ul><li>Respond to questions regarding patients&rsquo; research study participation and the relationship to patient billing
</li><li>Escalate issues to Team Lead or Manager as appropriate
</li></ul>Medicare Rules: Application and Training (10%)
<ul><li>Understand and exercise independent judgment and discretion in the interpretation and application of the Medicare National Coverage Determination for Routine Costs in Clinical Trials, and all relevant UW Medicine clinical research budgeting and billing policies and procedures
</li><li>As needed, provide training and education to Clinical Research Budget &amp; Billing (CRBB) colleagues, School of Medicine investigators, research staff and practice site staff on research billing policies, procedures and tools
</li><li>Provide excellent customer service and accurate guidance to clinical research study teams regarding clinical research billing policies and procedures
</li><li>Assist in development of content for CRBB website and outreach documents
</li><li>Assist faculty, staff and others in interpreting internal and external research billing policies
</li></ul>MINIMUM REQUIREMENTS
<ul><li>A Bachelor&rsquo;s degree in science, business, healthcare administration or related field and at least two years related experience or equivalent combination of experience and education.
</li></ul>Additional Requirements.
<ul><li>Prior experience with Epic Resolute (Hospital and/or Professional Billing).
</li><li>Demonstrated team leadership skills. Ability to make positive contributions and work effectively and efficiently in a group environment.
</li><li>Exceptional customer service skills.
</li><li>Strong written and oral presentation skills. Ability to communicate effectively with all levels of staff, faculty, management and collaborators.
</li><li>Ability to understand and convey complex policy, financial and scientific/technical information in a manner that is understandable to a wide audience.
</li><li>Ability to teach and mentor others in group settings, in one-on-one sessions and remotely.
</li><li>Ability to prioritize and organize work independently in a fast-paced, high-volume setting.
</li><li>Demonstrated skill in using Microsoft Excel and Access.
</li></ul><h3 class="jobSectionHeader">DESIRED QUALIFICATIONS
</h3><ul><li>Five years&rsquo; experience with healthcare and/or research billing, clinical research study coordination or management, health system operations, or other related research or healthcare experience.
</li><li>Experience in an academic medical setting.
</li><li>Experience with Epic&rsquo;s Research Billing module.
</li><li>Experience with a CTMS, preferably OnCore.
</li><li>Accounting and finance experience.
</li><li>Knowledge of the Medicare Clinical Trials Policy and other federal, state and institutional clinical research regulations.
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$66,000.00 annual
Pay Range Maximum:
$84,000.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Clinical Research Billing Specialist - Clinical Trials Office

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

Explore 23+ Ai ml computational science specialist in Seattle this April. Find roles across top companies and apply now to boost your career.