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clinical data scientist

CommonSpirit Health

<div><b>Job Summary and Responsibilities</b><div><br>
This job is responsible for staffing/leading collaborative efforts to design, develop, test, implement and maintain data modeling and analytics solutions for use in clinical, quality and population health improvement. Work includes representing data in contexts to include reports, dashboards, quantitative analytic models and interactive analysis tools. An incumbent will conceptualize and develop analytic solutions to help address Virginia Mason Franciscan Health's (VMFH) complex challenges using a variety of data science, analytic techniques, and tools. Work includes anticipating and supporting the information needs of VMFH clinical and business partners, enabling data-driven decision-making, and contributing to a culture of collaborative analytics throughout the organization. Working with front-line clinicians, administrative leaders and information systems personnel, an incumbent will expand advanced clinical analytics capabilities and relevant components of the data and analytics infrastructure while maintaining high standards of data governance in alignment with industry and regulatory standards.</div><div></div><div><br>
Work requires knowledge of hierarchical and relational database design and application development including but not limited to SQL server, SSIS, VBA, ODBC, AWS. Requires experience in working with Epic EMR data sets in Clarity and Caboodle. Also requires familiarity with EMR reporting and business intelligence tools and expertise with respect to data architecture, technical documentation and end-user training/support.</div><div></div><div><br>
Key Responsibilities Include:</div><div></div><div><br>
Direct querying aqainst the Epic EMR data sets in Clarity and Caboodle (This requires Epic certification)</div><div></div><div><br>
Facilitates data-influenced decision making across VMFH; creates actionable insights from data to assist all levels of management and clinical leadership in making key business and clinical quality decisions.</div><div></div><div><br>
Strives to become a recognized internal subject matter expert and consultant on clinical, quality, data governance and population health data and data sources.</div><div>
Develops, validates, applies and maintains scalable data models including visualizations, statistical models and predictive/prescriptive (machine learning) models.</div><div></div><div><br>
Continuously reviews and updates deliverables to align with current regulatory, contracted and evidence-based quality metrics; researches and applies industry best practices in clinical population health analytics and data management.</div><div></div><div><br>
Works directly with clinicians and business intelligence staff to assure the integrity of clinical data used for analytics and reporting, including supporting initiatives to define and validate new clinical data mart tables.</div><div></div><div><br>
Builds competencies, under the direction and mentorship of higher-level colleagues, in advanced predictive analytics methods and data consolidation.</div><div></div><div><br>
Consults with stakeholders to discuss/understand business needs/requirements and to identify viable technological solutions/opportunities; prepares detailed specifications/record layouts and/or current/revised work flow diagrams from which interfaces/applications/databases will be written.</div><div></div><div><br>
Designs, develops (including complex coding) and documents interfaces/applications/databases that address user needs and meet professional development standards; develops scenarios and scripts to test new/updated tools to ensure desired functionality and that results produced are in line with objectives; troubleshoots/debugs problematic performance/issues; transfers programs to production environment when testing has been completed successfully; prepares and conducts end-user training as necessary.</div><div></div><div><br>
Maintains/updates interfaces/applications/databases once implemented; makes changes in tables/logic and tools; adds and deletes codes and other information; works with IT staff and other resources when systems are being upgraded to identify impact on existing interfaces.</div><div></div><div><br>
Serves as point-person for all issues and/or malfunctions involving the technical aspects of the assigned programs/tools; receives general alerts in the event of a problem, runs internal diagnostics to identify problems, troubleshoots and identifies causes/issues and executes timely resolution that may involve reconfiguration or re-programming of internal code.</div><div>
Provides internal consulting for departments in overall data management concepts/tools and select special applications to facilitate automation of end-user processes and workflows.</div><div></div><div><br>
Performs necessary procedures to ensure the safety of information systems assets and to protect systems from intentional or inadvertent access or destruction; implements security procedures to accommodate system and user requirements.</div><div></div><b><br>
Job Requirements</b><ul><li><div><br>
Bachelor's degree of Science in a Quantitative Discipline (BS in mathematics, statistics, health services research, informatics, epidemiology or research-oriented MPH) and three years of related work experience in quantitative data analysis, including one year in healthcare context.</div></li><li><div>
Or any equivalent combination of education and experience which provides the required knowledge, skills and abilities to perform the essential functions of the position.</div></li><li>
EPIC Certification required.</li></ul><div></div><b><br>
Where You'll Work</b><div><br>
Virginia Mason Franciscan Health has a rich history of providing exceptional healthcare, dating back to 1891. Building upon a legacy of compassionate care and innovation, our organization has evolved over the years through strategic partnerships and integrations to expand our reach and services across the Puget Sound area.<br>
<br>
Today, as Virginia Mason Franciscan Health, we remain deeply committed to healing the whole person &ndash; body, mind, and spirit &ndash; in the communities we serve. This commitment is strengthened by the diverse expertise and shared values brought together through our growth.<br>
<br>
Our dedicated providers offer a full spectrum of health care services, from routine wellness to complex disease management, all grounded in rigorous research and education. Our comprehensive network of 10 hospitals and nearly 300 care sites strategically located across the greater Puget Sound region reflects our ongoing commitment to accessibility and comprehensive care.<br>
<br>
We are proud of our pioneering medical advances and numerous awards and accreditations that reflect our dedication to excellence. When you join Virginia Mason Franciscan Health, you become part of a team that delivers top-quality, professional healthcare in modern, well-equipped facilities, and contributes to a legacy of service built on collaboration and shared purpose.</div><b><br>
Pay Range</b><br>
$45.06 - $67.03 /hour</div>

Clinical Data Scientist

University Of Washington

<div><p><b>Job Description
</b></p><p></p><p><b>Who we&rsquo;re looking for:
</b><br>
The UW Medicine - Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a <b>Medical Laboratory Scientist (MLS) 1 </b>with the <b>Molecular Microbiology Team </b>at the University of Washington Medical Center &ndash; Montlake.
</p><p>The Molecular Microbiology Lab has been offering broad-range detection of bacteria, AFB, and fungi for UW Medicine patients and beyond for more than two decades. Providers from all over the United States send precious specimens to our laboratory. We have a very lively and talented group of MLSs and Clinical Laboratory Technicians (CLTs) who work as a team to deliver timely test results. We stay at the cutting edge of molecular technology as we routinely launch new tests and improve our current ones.
</p><p>The MLS 1 performs laboratory tests, interprets results, and reports results in the laboratory information system, effectively playing a key role in patient care. This role supports other MLSs, faculty, and students and communicates courteously and clearly with hospital and laboratory staff to resolve problems. Additionally, the MLS 1 establishes and maintains a positive attitude toward self, others, and the workplace.
</p><p></p><div><p><b>W </b><b>ork schedule </b><b>:
</b></p></div><div><ul><li><p>100% FTE, Monday-Friday, 12-20:30
</p></li></ul></div><div><p><b>What </b><b>you&rsquo;ll </b><b>contribute:
</b></p></div><div><ul><li><p>Performs various PCR tests for the identification of bacteria, yeast and parasite in the Molecular Diagnostic Division per laboratory protocols .
</p></li></ul></div><div><ul><li><p>Performs DNA extraction by manual methods and sets up PCR reactions, real-time PCR reactions and DNA sequencing reactions. Understands and operates a variety of molecular laboratory equipment ( Qiacube and EZ2 DNA extractor, Qiagility liquid handler, ZAG DNA analyzer, 3730xl DNA sequencer , Illumina MiSeq DNA sequencer , Biomek Nxp , and NGS Star, and performs basic maintenance and troubleshooting.
</p></li></ul></div><div><ul><li><p>Exhibits a working knowledge of the laboratory information system software and teaches it to others. Uses Molecular database ( mmdb ) to enter data, print worksheets, analyze DNA sequences and prepare case reports. Uses DNA analyzing software such as BLAST, ClustalW .
</p></li></ul></div><div><ul><li><p>Understands quality control requirements and follows policies to validate results. Works independently to manage average workloads and knows when to request assistance in case of heavier workloads.
</p></li></ul></div><div><ul><li><p>Performs work accurately and precisely and recognizes, corrects and documents errors when they occur. Interacts with health care providers in a professional manner. Knows what results are critical or reportable and follows the policies and procedures for reporting them to appropriate medical staff, epidemiology or Public Health Laboratory. Assists with the evaluation of new tests/equipment and research projects as required .
</p></li></ul></div><div><ul><li><p>Instructs new employees, medical laboratory students, medical students, residents and fellows in routine procedures and is patient and tolerant with them. Continues education and maintain certification by attending Lab Medicine &amp; Pathology seminars, in services, staff meetings and/or by reading scientific journals and participating in CAP proficiency surveys.
</p></li></ul></div><div><ul><li><p>Performs other tasks in the laboratory as assigned.
</p></li><p></p><li><div><div><p><b>What </b><b>you&rsquo;ll </b><b>need:
</b></p></div><div><p><i>Requirements for an MLS Trainee </i>:
</p></div><div><ul><li><p>Accredited bachelor&rsquo;s degree in medical laboratory science OR equivalent education/experience AND
</p></li></ul></div><div><ul><li><p>Eligible to take the Medical Laboratory Scientist or categorical certification examination from the American Society for Clinical Pathology (ASCP) within 18 months from date of hire. Failure to attain the certification within 18 months of date of hire may result in a recommendation for termination.<br>
</p></li></ul></div></div><p></p><div><div><p><i>Requirements for an MLS 1 </i>:
</p></div><div><ul><li><p>Accredited bachelor&rsquo;s degree in medical laboratory science OR equivalent education/experience AND
</p></li></ul></div><div><ul><li><p>Current Medical Laboratory Scientist certification with the American Society for Clinical Pathology (ASCP) or equivalent certifying organization OR certification with specialty organization appropriate to the laboratory division AND
</p></li></ul></div><div><ul><li><p>One (1) year of experience as a Medical Laboratory Scientist Trainee. Up to one (1) year of on-the-job experience performing clinical testing in a Medical Laboratory Science Program externship may count toward the experience requirement.<br>
</p></li></ul></div><p></p><div><p><b>Desire </b><b>d </b><b>q </b><b>ualifications:
</b></p></div><div><ul><li><p>Experience in molecular biology lab work.<br>
</p></li></ul></div><p></p><div><p><b>What </b><b>we </b><b>offer:
</b></p></div><div><ul><li><p>Re location incentive for eligible new employees.
</p></li></ul></div><div><ul><li><p>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</p></li></ul></div><div><ul><li><p>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</p></li></ul></div><div><ul><li><p>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</p></li></ul></div><div><ul><li><p>Excellent healthcare, dental, disability, retirement, and other plan options.
</p></li></ul></div><div><ul><li><p>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</p></li></ul></div><div><ul><li><p>And much more!<br>
</p></li></ul></div><p></p><div><p><b>About </b><b>the Department of Laboratory Medicine &amp; Pathology </b><b>:
</b></p></div><div><p>A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the <b>Department of Laboratory Medicine &amp; Pathology </b>at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.<br>
</p></div></div><p></p><div><p>Please visit our website to learn more about our department.<br>
</p></div><p></p><div><p><b>About UW Medicine </b><b>:
</b></p></div><div><p>UW Medicine is Washington&rsquo;s only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine&rsquo;s mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow&rsquo;s physicians, scientists and other health professionals.
<br>
<br>
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that include Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.<br>
</p></div><p></p><div><p>Become part of our team . Join our mission to make life healthier for everyone in our community.
</p></div></li></ul></div><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$37.70 hourly
<p><b>Pay Range Maximum:
</b></p>$55.62 hourly
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>SEIU Local 925 Healthcare Prof/Lab Tech
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>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.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>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 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>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 .</p></div>

MEDICAL LABORATORY SCIENTIST 1, LAB MED - LAB MED DEVELOP - S S (12)

Capgemini

<div>
 <p>
  <strong>
   Data Scientist
  </strong>
 </p>
 <p>
  Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  As a Data Scientist , you will lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of Generative AI models. Your role will involve leveraging your extensive experience to design robust, scalable, and innovative data architectures that align with the unique requirements of General Artificial Intelligence (GenAI) applications.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
  </li>
  <li>
   Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
  </li>
  <li>
   Build and maintain data engineering solutions on cloud platforms using hyperscaler services.
  </li>
  <li>
   Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
  </li>
  <li>
   Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes).
  </li>
  <li>
   Understanding indexing and vectorization to use with Generative AI prompt engineering.
  </li>
  <li>
   Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models.
  </li>
  <li>
   Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI.
  </li>
  <li>
   Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations.
  </li>
 </ul>
 <p>
  <strong>
   Required Skill and Experience
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Bachelor's degree in computer science, data engineering, or a related field with 3+ year's experience (Master's preferred).
  </li>
  <li>
   Proven experience in data engineering, MLOps, ETL, and database management, QL and data manipulation languages.
  </li>
  <li>
   Azure, Python, Java, or Scala.
  </li>
  <li>
   data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark).
  </li>
  <li>
   highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets
  </li>
 </ul>
</div>


Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.<br>
<br>
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.<br>
<br>
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.<br>
<br>
Key job responsibilities<br>
<br>
Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models<br>
Working with technical and non-technical stakeholders across every step of science project life cycle<br>
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models<br>
Innovating by adapting new modeling techniques and procedures<br>
Presenting research results to our internal research community</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ 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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience effectively communicating complex concepts through written and verbal communication</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, Amazon Stores Finance Science

<div><p><b>Job Description
</b></p><p></p><p><b>Who we&rsquo;re looking for:
</b></p><p>The UW Medicine - Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a <b>Clinical Laboratory Technician (CLT) 2 </b>with the <b>Microbiology Team </b>at the University of Washington Medical Center &ndash; Montlake.
</p><p></p><p>CLT 2s in the Microbiology Laboratory are experienced specimen processors that provide excellent patient care by performing inventory, ordering, receiving, and quality control on supplies.
</p><p></p><p><b>Work schedule:
</b></p><ul><li>FTE 100%
</li><li>Monday to Friday with rotating weekends and holidays
</li><li>Day shift on Monday to Friday. Weekends and holiday may vary
</li></ul><p></p><p><b>What you&rsquo;ll contribute:
</b></p><ul><li>Uses hc1 to track and resolve problems regarding specimen quality, including labeling, stability and tube type. Refers technical questions to AD Medical Laboratory Scientist or Setup Medical Laboratory Scientist Lead.
</li><li>Monitors training of new employees and students and assesses status at the completion of the training.
</li><li>Performs or guides other qualified employees in doing direct observations for annual competency assessments.
</li><li>Performs blood culture volume monitoring quarterly and prepares the data to be sent to responsible areas.
</li><li>Inventories reagents in setup.
</li><li>Sets up quality control on media or for reagents when the CLT Lead is not available.
</li><li>Trained in inventory and purchasing when the CLT Lead is not available.
</li><li>Ensures the procedures and documents in Media lab are up to date. Makes minor edits to procedures. Reviews any major procedure changes. Keeps the printed backup for all manual up to date.
</li><li>Helps create the annual competency quizzes and any new procedure quizzes.
</li><li>Be a resource for CLT 1s.
</li></ul><p></p><p><i>Also performs CLT 1 duties:
</i></p><ul><li>Possesses working knowledge of the laboratory information system including accessioning test requests, tracking specimens and looking up results.
</li><li>Batches and un-batches specimens from other divisions and transports them appropriately.
</li><li>Operates the WASP to process approved specimens, performs daily and monthly maintenance and troubleshoot errors.
</li><li>Processes bacterial and fungal cultures for all specimen types
</li><li>Prepares and stains direct smears including, but not limited to, Gram stains, KOH preps, Trichromes, and malaria preps.
</li><li>Answers phone calls and directs questions to appropriate personnel.
</li><li>Interacts with health care providers and responds to questions concerning specimens in a professional manner.
</li><li>Trouble shoots specimen issues and enters cases in hc1.
</li><li>Follows procedures and knows where to find information in Media Lab.
</li><li>Collects and cleans glassware, collects and disposes of biological waste, and unpacks supplies and reagents.
</li><li>Possess working knowledge of the operation, maintenance and troubleshooting of laboratory equipment, such as the biological safety cabinet, centrifuges, cytocentrifuges, stomachers, fume hoods, incubators, dry baths, refrigerators and freezers.
</li><li>Sets up bacterial susceptibility testing including disk diffusion, gradient strips and microtiter panels.
</li><li>Communicates with co-workers so that specimen processing flows smoothly through breaks and between shifts.
</li><li>Demonstrates a helpful, courteous and respectful manner with co-workers.
</li>Keeps work area clean, organized and stocked.<br>
<li>
</li></ul><p></p><p><b>What you&rsquo;ll need:
</b></p><ul><li>High school graduation or equivalent AND two years of chemical, clinical, or public health laboratory experience.
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul><p></p><p><b>What we offer:
</b></p><ul><li>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</li><li>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</li><li>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</li><li>Excellent healthcare, dental, disability, retirement, and other plan options.
</li><li>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</li><li>And much more!
</li></ul><p></p><p><b>About the Department of Laboratory Medicine &amp; Pathology:
</b></p><p>A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the <b>Department of Laboratory Medicine &amp; Pathology </b>at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.
</p><p></p><p>Please visit our website to learn more about our department.
</p><p></p><p><b>About UW Medicine:
</b></p><p>UW Medicine is Washington&rsquo;s only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine&rsquo;s mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow&rsquo;s physicians, scientists and other health professionals.
<br>
<br>
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that include Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
</p><p></p><p>Become part of our team . Join our mission to make life healthier for everyone in our community.
</p><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$27.98 hourly
<p><b>Pay Range Maximum:
</b></p>$40.05 hourly
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>SEIU Local 925 Healthcare Prof/Lab Tech
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>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.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>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 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>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 .</p></div>

Clinical Laboratory Technician 2, UWMC Microbiology Lab

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.<br>
<br>
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul><br>
A day in the life<br>
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ 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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, Amazon Music - DISCO

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale.<br>
<br>
We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale.<br>
As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
<br>
<br>
Key job responsibilities<br>
In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.<br>
Specific responsibilities include:<br>
<ul><li>Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features</li><li>Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings</li><li>Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases</li><li>Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance</li><li>Develop and refine annotation guidelines and quality frameworks for evaluation tasks</li><li>Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies</li><li>Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements</li><li>Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts</li><li>Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets</li></ul><br>
About the team<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Hybrid Work<br>
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ 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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of working with or evaluating AI systems 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><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually<br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, AWS Quick Data

Explore 312+ Clinical data scientist in Seattle this May. Find roles across top companies and apply now to boost your career.