Within this team, research spans every step of the product life cycle, from understanding people’s latent needs before they build products, to assuring the products they build deliver world class user experiences, to measuring the impact of the products once they are in use.

For this position, our client is looking for experienced individuals who will help elevate the practice of research with creative but rigorous qualitative and/or design research methods.

At Marketplace and Commerce, they’re building experiences that will fundamentally change the course of commerce – helping every person discover things they love with input from their communities, while providing economic opportunity for everyone. Sellers are a vital part of the ecosystem and you can be a vital part of their lives. Help build the best seller experience on Marketplace by deeply understanding their needs.

Location: Seattle, WA
Benefits: Health, Dental, Vision and accrued PTO

Requirements:

  • 4+ years of UI/UX experience with a Bachelor’s degree.
  • OR will have 2+ years of UI/UX experience with a Masters/PhD.
  • Degrees/education should be in a human behavior related field, such as HCI, Psychology, Sociology, Anthropology, Communication, Information Science, Media Studies, Computer Science or Economics
  • Mixed methods (Qualitative leaning, but Quantitative is necessary as well): Perhaps what’s needed is a rapid feedback survey or it could be a diary study or a 1:1 interview. You get to decide what’s appropriate depending on what you’re trying to answer.
  • Product leadership: A solid product thinker who can connect the dots and help sway product decisions based on rich research insights.
  • Champion of quality: You care about the experience and represent the voice of Marketplace sellers in meetings and in every product decision.
  • Excellent collaborator: You establish deep relationships and collaborate with product teams within and outside of Marketplace

Job Summary

The research associate will contribute to a funded initiative to develop and demonstrate ultramicroelectrode arrays that take advantage of state-of-the-art materials including amorphous silicon carbide and novel, emerging electrode coatings. The project requires experience in a class 1000 cleanroom using industry-standard microfabrication techniques including but not limited to photolithography, e-beam lithography, sputtering and plasma enhance chemical vapor deposition. In addition, the research associate will perform characterization of ultramicroelectrode arrays through electrochemical bench testing and collaborate with a multi-disciplinary team to perform in vivo recording, stimulation, and electrochemical analyses.

Minimum Education and Experience

Ph.D in a related field.

Preferred Education and Experience

Applicants should have a Ph.D., or equivalent, in a closely related engineering discipline (e.g., material science, electrical engineering, or bioengineering). The research associate must also have excellent oral and written communication skills and a strong interest in microfabrication techniques. The research associate should have expertise and experience in a cleanroom environment and familiarity with electrochemical characterization techniques such as impedance spectroscopy and cyclic voltammetry.

Essential Duties and Responsibilities

  • Conduct research in the design and development of ultramicroelectrode arrays leveraging amorphous silicon carbide including managing the development of multielectrode array fabrication processes and the evaluation of these arrays in rodents.
  • Mentor and collaborate with PhD students
  • Interact with collaborating senior investigators from other institutions
  • Managing a diverse of short and long-term projects
  • Write and edit progress reports and peer-reviewed manuscripts
  • Contribute to the development of grant proposals
  • Physical Activities Working Conditions Additional Information Special Instructions Summary

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. All of which has allowed the UW to be nationally recognized as a “Great College to Work For” for six consecutive years.

The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. IHME carries out a range of projects within different research areas including: the Global Burden of Diseases, Injuries, and Risk Factors; Future Health Scenarios; Costs and Cost Effectiveness; Local Burden of Disease; Resource Tracking; and Impact Evaluations. The aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.

IHME has an excellent opportunity for a Research Scientist whose work will focus on model-based geostatistics (MBG) join our Vaccine Coverage and Vaccine-Preventable Disease team. The purpose of this position is to help devise and apply innovative methods in geospatial analysis to produce high-quality and policy-relevant estimates of health and health-related indicators at the most granular level possible.

We are looking for someone ready to advance in their career in global health research. As a Research Scientist you will be a lead on your research team by contributing to research design and training and mentoring junior staff. IHME researchers analyze and produce key estimates for their assigned research team and will assess all available relevant quantitative data – including those on causes of death, epidemiology, and a range of determinants such as education and income – from surveys, vital registration, censuses, literature, registries, and administrative records.

You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone that is capable of keeping your team on track to meet deadlines and research objectives. You have experience with the publication process, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering and technical advances and are able to translate these into your research. This position is contingent on project funding availability.

Responsibilities

  • Exhibit command of one or more of the research areas at IHME, including the methodology and its components.
  • Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions and inform team leaders.
  • Develop, quality check, and distribute complex data sets to be used in epidemiological and statistical analyses.
  • Develop and implement new computational and statistical methods. Create, test, and use relevant computer code (R, Java, C, C++, or Python). Maintain, modify, and execute analytic machinery that results.
  • Draft presentations, manuscripts, and contribute to funding proposals. Lead and co-author scientific articles in peer-reviewed journals.
  • Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques
  • Provide ideas and content for the development of internal trainings. Teach established trainings.
  • Contribute to research design.
  • Communicate with external collaborators in order to best understand the nature, key characteristics, and context of the data, engage in critiques of the analytic results, and disseminate findings.
  • Develop and maintain relationships with designated collaborators. Respond to and, as appropriate, integrate feedback from collaborators into the analyses. Work directly with collaborators to understand data to which they have access, and to in turn help them understand the methods being applied. Help to manage and orchestrate joint strategies for analysis.
  • Other duties as assigned that fall within reasonable scope of research team.As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.
    REQUIREMENTS:
  • Master’s in public health, epidemiology, computer science, mathematics, or other relevant subject plus four years’ related experience, or equivalent combination of education and experience.Additional Requirements:
  • Excellent analytic, critical thinking, and quantitative skills.
  • Results and detail-oriented individual that can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key.
  • Experience devising and executing statistical modeling techniques.
  • Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code.
  • Ease in designing, executing, and troubleshooting code in at least one of the following programming languages: R (strongly preferred), Python, Java, C, C++.
  • Excellent written and oral communication skills required, including track record of success in co-authorship on multiple scientific papers, presenting results, and representing research at meetings.
  • Ability to work both independently and in collaboration with a team
  • A long-term interest in a research scientist position contributing to the overall mission of our researchEquivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
    DESIRED
  • PhD or MD in public health, epidemiology, computer science, statistics, mathematics, or related field plus two years’ experience preferred.
  • Experience with machine learning, data mining, and analytic techniques.
  • Experience mentoring and developing junior employees on soft and technical skills.
  • Experience with project management methods.
  • Peer-reviewed publication record.CONDITIONS OF EMPLOYMENT
  • Weekend and evening work sometimes required.Application Process
    The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Workforce Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your “My Jobs” page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.

Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.

The University of Washington is a leader in environmental stewardship & sustainability , and committed to becoming climate neutral.

The University of Washington is an equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 / 206-543-6452 (tty) or dso@uw.edu .


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Email: mansour.fahimi@gfk.com , Phone: 240-477-4570


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Market Research , Modeling & Forecasting , Operations Research , Time Series Analysis and Forecasting

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Judi Field

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Market Research , Modeling & Forecasting , Operations Research , Segmentation , Temporal & Spatial Statistics

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Market Research , Survey Design & Analysis

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General Advanced Methodological Techniques , Market Research , Statistical Software – SPSS , Survey Design & Analysis , Technical Writing & Editing

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Email: 2608rg@gmail.com , Phone: (981) 823-6739


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Affiliation: University of Texas Medical Branch , Houston , TX

Email: waynergf@gmail.com , Phone: (281) 360-7584


Nicole Furnish

Operations Research

Affiliation: Government , Woodhaven , MI

Email: nicole.f.furnish@us.army.mil , Phone: 517-256-0137


Laurence George

Biometrics & Biostatistics , Non Parametric Statistics , Operations Research , Risk Assessment & Analysis , Systems Analysis & Programming

Affiliation: Problem Solving Tools , Livermore , CA

Email: pstlarry@yahoo.com , Phone: (925) 447-4969


Andrew Ghattas

Market Research , Modeling & Forecasting , Operations Research , Segmentation , Temporal & Spatial Statistics

Affiliation: Logos Analytics , Kansas City , MO

Email: Andrew.E.Ghattas@gmail.com , Phone: 4408976342


Christopher Gray

Data Collection Procedures , Modeling & Forecasting , Operations Research , Risk Assessment & Analysis , Technical Writing & Editing

Affiliation: GraYRook Security Group LLC , Austin , TX

Email: chris@grayrook.com , Phone: (408) 401-6671


Vaneeta Grover

Experimental Design , Modeling & Forecasting , Operations Research , Statistical Process Control , Statistical Software – SAS

Affiliation: Chemours , Hockessin , DE

Email: vkgrover@yahoo.com , Phone: (302) 239-2753


Rajan Gupta

Biometrics & Biostatistics , Market Research , Operations Research , Statistical Software – SPSS , Technical Writing & Editing

Affiliation: University of Delhi , Delhi , Not Provided

Email: 2608rg@gmail.com , Phone: (981) 823-6739


David Guy

Graphics , Modeling & Forecasting , Operations Research , Statistical Software – Other , Time Series Analysis and Forecasting

Affiliation: R Statistical Consulting , Flemington , NJ

Email: info@RStatisticalConsulting.com , Phone: (917) 941-5890


David Han

Data Collection Procedures , General Advanced Methodological Techniques , Operations Research , Statistical Process Control , Statistical Training

Affiliation: University of Texas , San Antonio , TX

Email: David.Han@utsa.edu , Phone: (210) 458-7895


Jaclyn Hester

Operations Research , Risk Assessment & Analysis

Affiliation: Lockheed Martin Aeronautics Company , Fort Worth , TX

Email: jaclyn.hester@gmail.com , Phone: (256) 655-2585


Monica Jackson

Experimental Design , Operations Research , Statistical Software – SAS , Statistical Training , Temporal & Spatial Statistics

Affiliation: American University , Washington , DC

Email: monica@american.edu , Phone: (404) 808-9060


Monica Jackson

Experimental Design , Operations Research , Statistical Software – SAS , Statistical Training , Temporal & Spatial Statistics

Affiliation: American University , Washington , DC

Email: monica@american.edu , Phone: (404) 808-9060


Mark Kinchen

Data Collection Procedures , Operations Research , Sampling & Sample Design , Statistical Software – SAS , Survey Design & Analysis

Affiliation: Air Force Research Labs/ School of Aerospace Medicine , Dayton , OH

Email: mark.kinchen@us.af.mil , Phone: (937) 938-3267


Dennis Kunimura

Data Collection Procedures , Modeling & Forecasting , Operations Research , Probability , Risk Assessment & Analysis

Affiliation: g4b Analytics LLC , Layton , UT

Email: dennis.kunimura@gmail.com , Phone: (801) 719-9516


Lawrence Leemis

Operations Research , Probability , Quality Management, 6-Sigma

Affiliation: The College of William and Mary , Williamsburg , VA

Email: leemis@math.wm.edu , Phone: (757) 221-2034


Richard Leu

Bayesian Methods , Modeling & Forecasting , Operations Research , Statistical Software – Other , Statistical Training

Affiliation: Cosmic Lens Consulting , Austin , TX

Email: richard.leu@cosmiclensconsulting.com , Phone: (512) 789-8263


Christopher McKinney

Biometrics & Biostatistics , General Advanced Methodological Techniques , Operations Research , Quality Management, 6-Sigma , Statistical Process Control

Affiliation: McKinney Statistical Services , Denver , CO

Email: cj.mckinney@live.com , Phone: (970) 397-1087


Mansour Naraghi

Market Research , Modeling & Forecasting , Operations Research , Statistical Software – SAS , Statistical Training

Affiliation: OR , , Not Provided

Email: mnaraghi@hotmail.com , Phone: (425) 556-5927


Ramani Natarajan

General Advanced Methodological Techniques , Modeling & Forecasting , Operations Research , Segmentation , Statistical Process Control

Affiliation: Slalom, Inc. , Evanston , IL

Email: ramani.natarajan@gmail.com , Phone: (312) 344-0405


Thomas Nunnikhoven

Modeling & Forecasting , Operations Research , Statistical Software – SAS

Affiliation: International Paper , Memphis , TN

Email: thomas.nunnikhoven@ipaper.com , Phone: (901)419-7564


Patrick O”Reilly

Decision Theory , Market Research , Modeling & Forecasting , Operations Research , Time Series Analysis and Forecasting

Affiliation: Colorado School of Mines , Denver , CO

Email: pg.oreilly@gmail.com , Phone: (303) 883-7330


Marie Oldfield

Data Collection Procedures , Modeling & Forecasting , Operations Research , Quality Management, 6-Sigma , Time Series Analysis and Forecasting

Affiliation: RSS, ASA, IMA , Portsmouth , International

Email: marieoldfield@hotmail.com , Phone: +771 556 2606


Danny Rithy

Modeling & Forecasting , Operations Research , Statistical Software – Other , Statistical Software – SAS , Time Series Analysis and Forecasting

Affiliation: California Polytechnic State University , San Luis Obispo , CA

Email: drithy@calpoly.edu , Phone: (510) 913-1617


Thomas Sexton

Operations Research , Sampling & Sample Design , Statistical Training , Survey Design & Analysis

Affiliation: Stony Brook University , Farmingville , NY

Email: Thomas.Sexton@StonyBrook.edu , Phone: (631) 632-7181


Brian Taylor

Data Collection Procedures , Non Parametric Statistics , Operations Research , Sampling & Sample Design , Statistical Software – SAS

Affiliation: Army Test & Evaluation Command , Arlington , VA

Email: BmTaylor@Comcast.net , Phone: (703) 312-8885


Iuliana Teodorescu

Bayesian Methods , Decision Theory , Operations Research , Statistical Software – SAS , Time Series Analysis and Forecasting

Affiliation: University of South Florida , Tampa , FL

Email: iuliana.teodorescu@gmail.com , Phone: (813) 468-7889


Nathaniel Tymes

Non Parametric Statistics , Operations Research , Risk Assessment & Analysis , Statistical Software – Other , Statistical Software – SPSS

Affiliation: Wright State University-Lake Campus , Celina , OH

Email: ntymesjr@gmail.com , Phone: (419) 586-0814


Joseph Venezia

Biometrics & Biostatistics , Operations Research , Statistical Software – SAS

Affiliation: US Army , Natick , MA

Email: jvma7620@gmail.com , Phone: 508.816.4497


Federico Vicario

Decision Theory , Modeling & Forecasting , Operations Research , Statistical Training , Systems Analysis & Programming

Affiliation: Statistical Consultant , C.A.B.A. , International

Email: federicovicario@yahoo.com.ar , Phone: 5.41E+12


James Weber

Graphics , Modeling & Forecasting , Operations Research , Statistical Training , Systems Analysis & Programming

Affiliation: University of Illinois , Gurnee , IL

Email: JamesSWeber@gmail.com , Phone: (847) 638 5876


Karim Yaakoubd

Modeling & Forecasting , Operations Research , Probability , Statistical Software – SAS , Systems Analysis & Programming

Affiliation: American Statistical Association , Newark , DE

Email: karimyaakoubd@gmail.com , Phone: 352-682-2284

Choosing a Research Design

Choosing a research design for your research study occurs early in your dissertation process, but where do you begin? How do you know whether a descriptive or experimental design is 

what’s best for your particular project?

 Select an article below to learn more.


applying-to-grad-school

Diving Deeper into Limitations and Delimitations

If you are working on a thesis, dissertation, or other formal research project, chances are your advisor or committee will ask you to address the delimitations of your study. When faced with this request, many students respond with a puzzled look and then go on to address what are actually the study’s limitations. If you’re […]

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Research Design 101: Research Methods for Students

Research Design 101: Research Methods for Students

Which of the many different types of research design is best for you? One thing that you will want to consider early in your dissertation process is the design of your research study. By the time you start your dissertation or thesis, you have probably taken graduate and undergraduate courses about research methods; however, it […]

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To Dig or Not To Dig: What is Archived Data?

To Dig or Not To Dig: What is Archived Data?

Deciding on a dissertation or thesis topic can be a difficult task in and of itself. Deciding on a dissertation or thesis topic and collecting data based on your topic can at times seem impossible. It may be tempting to find an archival data set that might be tailored to fit your research study. There […]

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Stating the Obvious: Writing Assumptions, Limitations, and Delimitations

Stating the Obvious: Writing Assumptions, Limitations, and Delimitations

During the process of writing your thesis or dissertation, you might suddenly realize that your research has inherent flaws. Don’t worry! Virtually all projects contain restrictions to your research. However, being able to recognize and accurately describe these problems is the difference between a true researcher and a grade-school kid with a science-fair project. Concerns […]

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Finding the Minimum Sample Size

Finding the Minimum Sample Size

When completing your thesis or dissertation, you will most likely be collecting data and running some statistical analysis on the data that you collect. When writing proposals for their theses and dissertations, students commonly overlook a priori power analysis which can be critical in their study. What is power? Statistical power is the ability for […]

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Data Collection Methods

Data Collection Methods

Regardless of the topic of your dissertation or thesis, it is highly likely that at some point you will need to collect data. Below are some common data collection methods. Remember, you will want to collect data in a way that fits your research design and questions. Self-Report Self-report is a type of research design […]

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Getting Involved in Research

Getting involved in research as an undergrad strengthens your CV and other application materials for grad school. It is also a great way to network with peers and mentors, to emerge in your field of study, and to practice formal research.

Select an article below to learn more.


Summer Fun in Research Programs

Summer Fun in Research Programs

The school year is very busy for many undergraduate students, so what better time is there to get some helpful research experience than during summer? Most undergraduate students have more time available to devote to research projects during the summer than they do during the school year, so summer can be the perfect time for […]

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Being Part of a Research Team

Being Part of a Research Team

Being part of a research team as an undergraduate student can be very rewarding, and undergraduates should actively seek out student research opportunities. Being part of research teams can provide undergraduate students with the opportunity to apply knowledge learned in the classroom to real-world situations. Being part of research teams provides undergraduates with an excellent […]

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Student Research Opportunities

Student Research Opportunities

Experience in your prospective field is significant on applications for graduate school. Internships are a good way to gain hands-on experience and to explore your field outside of the classroom. You will need little or no prior work experience in the field to qualify for a research opportunity. In fact, the whole point of internships […]

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Importance of Research to Grad School Admission

Importance of Research to Grad School Admission

GRE scores, GPAs, transcripts, letters of recommendation, quality of undergrad school, admission essays, and personal statements are all important to the admission process to get into graduate school; however, research is a unique and important way to distinguish you as a qualified candidate to admissions committees. In fact, some universities even require that you have […]

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