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Research Opportunities

For Research Experience Seekers:

If you are looking for research positions in the field of psychology, then you have come to the right place! Below you will find a spreadsheet where researchers in the Department of Psychology and beyond advertise their most recent research position openings. Positions vary in their research topics, eligibility, compensation, and responsibilities. To find the perfect one for you, you can use the filter function in the spreadsheet. 

How to Use the Link: 

Click on the “Filter views” button

• “Create new filter view”
• Some popular filters include “Area”, “Compensation”, and “End Date for This Recruitment”

Position “Listing” Link

Tips for Getting Positions

• Once you have found the right position(s), you may directly contact the researcher(s) using the “Contact” information listed on the form.
• Sign up for the research position opening listserv ( psych-research-op [at] stanford.edu ( psych-research-op[at]stanford[dot]edu ) ) to receive notifications of new position openings. 
• We encourage everyone from any socio-demographic background to participate in and conduct research! For more information, please refer to the departmental Diversity Statement .
• Should I get involved in research? : A collection of interviews from current and former undergraduate/postgraduate/postdoctoral researchers, research staff, and faculty members about why early involvement in research is important.
• How to get involved in research? : A collection of tips and tricks for more successful research position applications.

For Research Position Recruiter:

If you are a researcher hoping to advertise the position openings in your group, you can fill in the forms below. Your postings will be immediately available to interested research experience seekers. While the positions do not need to be in the Department of Psychology, please note that most research experience seekers are looking for research experience related to psychology and neuroscience (broadly defined).

• You are more than welcome to make multiple postings. 
• If you made a mistake in the posting, you can edit your response in the form using the link (a red box that says “Edit response”)  in the automatically generated email.
• Postings will be removed after the indicated “End Date for This Recruitment”, but please feel free to repost, if needed.

Position “Posting” Link

Tips for Posting Opportunities

• Please keep the application process equal and inclusive. For more information, please refer to the departmental Diversity Statement .
• Prompt replies to applicants are encouraged upon receiving their application and keeping applicants informed of the interview/lab visit schedules.

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Data Manager II - Research - Remote

• Rochester, MN

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The Data Manger II assists in the development, implementation and evaluation of the performance of protocol processes and programs. The position assists with development, review and update of department/division materials and review of processes, including IT practices, within the department/division. The position utilizes measurement tools, system design and standard reports to effectively manage and review processes, as well as delays and progression of the protocol through the development process. Individual communicates verbally and through documentation all pertinent reporting information and provides associated follow-up. Responsible for performing quality control and quality assurance reviews of protocols and documentation submitted on protocols to assure compliance. Responsible for accuracy and timeliness in completing study compliance activities, data collection, storage and retrieval of protocol-related data. Position reviews and maintains records, documents trends and applies measurement reporting skills using IT systems and other appropriate tools. Individual provides consultative expertise regarding regulatory and policy requirements and works with team members to ensure internal and external processes functioning and consistent with applicable policies and regulatory requirements. Position provides input into standard operating procedures and working instructions and acts as a liaison between Mayo and external/internal organizations while ensuring internal and external standards are adhered to and appropriate approvals have been obtained. Individual carries out staff training and mentoring as necessary and is an active member on task forces and special projects as assigned. In addition, position assists in the preparation for site visits and audits.

Associates degree preferred or a HS Diploma with at least 2-3 years of clinical experience or commensurate experience in either a health care or research setting. Must have the ability to work independently with minimal direction. Must possess excellent written and oral communication skills, maintain confidentiality of information, demonstrate good decision-making and judgment and have attention to detail and follow-through skills. Must have the capacity to comprehend complex structures and connections and be willing to adapt within a rapidly changing environment. Requires strong organizational skills and the ability to prioritize and handle a variety of tasks simultaneously. Must have the ability to exercise good judgment in ambiguous situations under pressure and have strong coping skills. Preferred experience in clinical research and/or project or operations management. IT skills with ability to understand all aspects of protocol management and problem solving is preferred. Past performance should demonstrate effective communications, as well as strong human relation, organizational and self-directive skills.

Visa sponsorship or transfer  is not available for this position.  Mayo Clinic does not participate in the F-1 STEM OPT extension program.

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Remote data scientist jobs at U.S. companies

We, at Turing, are looking for experienced data scientists who can perform business/product analysis, define key metrics, and set product team goals. Come and be a part of the top 1% of data scientists and grow with the best minds.

Find remote software jobs with hundreds of Turing clients

Job description, job responsibilities.

• Identify business challenges and opportunities for product/service improvements.
• Use analysis to make strategic or tactical recommendations.
• Apply data cleaning and wrangling expertise, quantitative analysis, and data mining.
• Partner with product and engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute product decisions and launches.
• Forecast and set product team goals and design and evaluate experiments.
• Monitor key product metrics and understand the root causes of changes in metrics.
• Build and analyze dashboards and reports.
• Build key datasets to empower operational and exploratory analysis.
• Propose what to build in the next roadmap.
• Understand ecosystems, user behaviors, and long-term trends.
• Identify new levers to help move key metrics.
• Build models of user behaviors for analysis or to power production systems.
• Influence product teams by presenting data-based recommendations.
• Communicate the state of business, experiment results, etc., to product teams.
• Spread best practices to the analytics and product teams

Minimum requirements

• Bachelor’s Degree/MA or Ph.D. focusing on Business, Math, Economics, Finance, Statistics, Science, or Engineering.
• Knowledge of quantitative data analysis, report writing, and presentation of findings.
• Expertise with data querying languages (e.g., SQL)
• Proficiency in scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, MATLAB).
• Fluency in English to collaborate with engineering managers and other team members
• Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones

Preferred skills

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data.
• Applied statistics or experimentation (i.e., A/B testing) in an industry setting.
• Expertise in communicating the results of analyses to product or leadership teams to influence strategy

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Start working on your dream job

Once you join turing, you’ll never have to apply for another job., learn how to create a perfect resume.

Turing.com lists out the do’s and don’ts behind a great resume to help you find a top remote data scientist job.

How to Become a Data Scientist?

Data scientists are analytical specialists who use technology and social science knowledge to identify patterns and manage data. They utilize industry expertise, contextual awareness, and criticism of current assumptions to solve business problems.

Before we explore how to become a data scientist, let’s look at the scope and rapid rise of remote data science jobs.

What is the scope of Data Science?

Data science is a buzzword in the tech world right now, and with good reason, it's a big step forward in how computers learn. The need for data scientists is high, and this increase is due to the evolution of technology and the generation of vast amounts of data, also known as big data.

• Data Scientist:-

A data scientist uses artificial intelligence, machine learning, and analyzes data to discover patterns and trends to make data driven decisions.

• Data administrator:-

A data analyst filters out business-relevant data. They monitor data flow and trends and assist their teams.

• Data Engineer:-

A Data engineer is in charge of assuring the integrity and performance of the organization's databases, as well as the data's security. They must be conversant with standard relational databases, disaster recovery and database backup methods, and reporting tools.

What are the roles and responsibilities of Data scientists?

• Undertake research to extract data from multiple sources.
• Use web scraping, APIs, and surveys to collect unstructured data.
• Use machine learning tools to organise, process, clean and validate the data.
• Communicate predictions and results to management and IT teams through excellent data visualizations and reports.

Essentials of becoming a Data scientist

For getting a data scientist job you need bachelor's degree or master’s degree in data science or computer science field. It will enhance your problem-solving abilities through critical and analytical thinking. But if you don’t have a data science degree in that case  you may need to learn to job-related skills through short-term specialized courses or boot camps like:

Learn the required skills to become a data scientist like:

• Programming
• Big data tools
• Data warehousing and structures
• Machine learning techniques
• Data mining, cleaning, and munging
• Data visualization 
• Statistics, probability and math

Data scientists might focus on a specific industry or gain expertise in areas like artificial intelligence, machine learning, research, or database administration. 

It can be helpful to have an online portfolio. You can create a data scientist resume and showcase your best projects and achievements to prospective employers. 

Your first data science job may not include the title of a data scientist but may have an analytical function instead. Once you learn to operate as part of a team and master the best practices, moving on to more senior roles will be easier.

For senior remote scientist jobs, is a master's degree necessary? It varies by profession. Some practicing data scientists have a bachelor's degree or have completed a data science boot camp.

Once you've landed a job interview, prepare responses to most asked data science interview questions . Since data scientist roles can be very technical, you may be asked technical and behavioral questions.

Here are a few questions:

• What are the advantages and disadvantages of a linear model?
• What exactly is a random forest?
• To identify all duplicates in a data collection, how would you use SQL?
• Explain your machine learning experience.
• Give an example of a moment when you didn't know how to address a problem. What exactly did you do?

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Skills required to become a Data scientist

When looking for  data science jobs , you’ll need certain skills to be proficient in regardless of your role.

1. Math and statistics

Any competent data scientist should have a solid foundation in math and statistics. Companies, especially those that are data-driven, require a data scientist to know statistical techniques. Calculus and linear algebra are important as they are linked to machine learning techniques.

2. Analytics and modeling

A data scientist is expected to be proficient in this field and be able to examine data, perform tests, and develop models to acquire new insights and anticipate probable outcomes based on a foundation of critical thinking and communication.

3. Machine learning methods

While expert-level expertise in this field is not usually required, some familiarity is expected. Knowledge of decision trees, logistic regression, and other essential aspects enabled by machine learning is sought after.

4. Programming

A data scientist must have excellent programming abilities and expertise in Python, R, Perl, C/C++, SQL, Java and other languages. However, it's worth mentioning that the specific languages may differ depending on the job requirements and the nature of the data science tasks involved.

5. Data visualization

Data visualization allows data scientists to effectively convey key messages and propose solutions. Understanding how to  simplify complex data into digestible chunks and utilizing visual aids such as charts and graphs is a fundamental skill for every data scientist.

6. Intellectual curiosity

A good data scientist should be driven to learn more about what the data says and how that knowledge may be applied on a larger scale.

7. Communication

Data cannot communicate until manipulated, which means that a data scientist must have solid communication abilities.

8. Business acumen

A certain amount of business acumen is necessary for a data scientist to use data in a useful way for their company properly. You must completely understand the company's primary objectives and goals and how they affect the job you need to accomplish. You must also be able to develop solutions that satisfy those objectives with a cost-effective and simple-to-implement approach.

How to get Data scientist jobs?

Turing offers some of the best remote data science job opportunities. You can quickly grow in your career by working on challenging yet rewarding technology and business challenges. Join our network of the world's top developers to find long-term, full-time data science remote jobs with higher compensation and promotion prospects.

Why become a Data scientist at Turing?

Elite us jobs.

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Data scientists?

Every Turing data scientist has the opportunity to set their own pace. Turing, on the other hand, will propose a salary at which we are certain we can find you a successful and long-term position. Our suggestions are based on our analysis of market conditions as well as customer preferences.

Frequently Asked Questions

To become a data scientist, you need a diverse set of skills:

• Proficiency in programming languages like Python, R, and SQL
• Understanding of statistics and machine learning
• Ability to visualize data using tools such as Matplotlib
• Expertise in data manipulation with Pandas
• Effective communication and strong problem-solving abilities
• Familiarity with data science libraries
• Solid foundation in mathematics

Coupled with experience and a passion for deriving insights from data, these skills form the cornerstone of a successful career in data science.

To apply for data scientist work from home jobs at Turing, follow these steps:

• Upload your resume
• Complete an assessment of your work experience
• Take tests related to your tech stack
• Complete a coding challenge

If you’re successful, you’ll proceed to an onboarding call.

Turing's AI Matching Engine evaluates your skills, experience and expertise based on your test and coding challenge results. It then matches you with the suitable jobs, considering your talent, availability, and location.

Yes, data scientists are in high demand. Ongoing technological advancements and an increased reliance on data for decision-making will drive this growth. The rise of AI and machine learning applications further amplifies the need for data science across various industries.

Additionally, remote work options have broadened access to data science opportunities. This allows professionals from diverse backgrounds to pursue careers in this field.

Turing uses a two-way approach, combining automated tests and an AI Matching Engine. This method effectively matches skilled engineers with remote job opportunities at top-tier Silicon Valley companies. Developers typically spend between 3 to 6 hours on a combination of tests, coding challenges, and interviews during the hiring process.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

No, the service is absolutely free for software developers who sign up.

Yes. Becoming a Data Scientist is highly lucrative both in terms of career growth and finance. Silicon Valley companies are always looking for talented Data Scientists and are ready to pay excellent salaries. To apply for such jobs, visit Turing.com. You can join a network of the world’s best Data Scientists and get full-time, long-term remote Data Scientist jobs at Turing.com

Turing hosts a diverse range of companies actively seeking to hire remote data scientists. These companies span various industries, including technology, finance, auto, healthcare, and more. Please check our data science jobs pages for the latest openings.

Data Science offers a variety of career opportunities across different industries. Some key roles for individuals with a background in Data Science include:

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• AI Research Scientist
• Business Intelligence Analyst
• Data Engineer

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

Long working hours are frequent when working on big problems/projects, and performance expectations are always high. But many companies, especially Silicon Valley companies, offer great work culture to reduce stress and keep employees motivated. To work with such companies, visit Turing.com. Via Turing, you can get full-time, long-term remote Data Scientist jobs.

Several cities have open remote data scientist jobs. Some of the top ones include Hyderabad , Bangalore , Kolkata , Pune .

Consider applying to Turing for remote data science positions. Turing offers full-time, long-term data scientist roles that you can pursue from anywhere in the world.

Turing offers competitive salaries to its developers ensuring they have the opportunity to earn salaries that match their skills and experience.

At Turing, data scientists have the flexibility to set their own prices. However, Turing provides a recommended salary to help find profitable long-term opportunities.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

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Explore remote developer jobs, remote llm quality analyst - mathematics.

A well-supported AI research company is looking for candidates with good math skills and a knack for solving problems. Ideal candidates should be comfortable with high school-level math, able to solve problems, explain solutions clearly, and work efficiently within deadlines.

What does day-to-day look like:

You'll be tackling diverse high school math problems and crafting clear explanations. Here are a couple of examples of the types of problems you might encounter:

• Solve a system of linear equations using matrices and explain the process step-by-step.
• Use integration techniques to find the area of a region bounded by a parabola and a line.

Note: A strong foundation in high school mathematics is required, but no other specialized domain experience is needed.

Requirements:

• Strong skills in algebra, geometry, trigonometry, and calculus at the high school level.
• Ability to approach problems systematically and creatively.
• Desktop/Laptop with reliable internet connection and necessary software for mathematical computations.

Preferred Qualifications:

• Bachelor's degree in Mathematics, Engineering, Physics, or a related field (or equivalent demonstrated math skills)
• Familiarity with standardized test formats and requirements for 12th standard mathematics exams.
• Knowledge of mathematical software and tools is a plus (e.g., Latex, Google Collab).
• Competitive compensation.
• Flexible hours and remote work
• Opportunity to work on cutting-edge AI projects with leading LLM companies
• Potential for contract extension based on performance

Application Process:

• Step 1: Online Math Assessment
• Step 2: Interview(If you pass the assessment)
• Step 3: Optional Mock Teaching Session

Remote Subject Matter Expert - Mathematics

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What Do We Know About Psi? The First Decade of Remote Viewing Research and Operations at Stanford Research Institute

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Research Scientist I, Forest, Rangeland, and Fire Sciences

• University of Idaho
• Moscow, ID, USA
• Sep 13, 2024

Job Description

• Perform complex scientific analyses
• Adjust experimental designs as necessary based on experimental data analysis
• Direct the development of recommendations for project solutions
• Perform peer review of scientific projects, studies, or applications and making recommendations
• Prepare peer reviewed publications or presentations
• Resolve complex project specific technical and regulatory issues
• Establish work priorities and performance standards, hiring, training, evaluating staff, assigning, and reviewing work
• May be responsible for technical project management to include developing the scope of work, budgeting, scheduling, reporting, implementing field projects, and approving scientific documents
• Participate in the development of grant proposals as named project contributor
• Other duties as assigned
• Completed Ph.D. in Natural Resources, Geography, or Environmental Science (or related fields with a strong remote sensing or geospatial analytical focus)
• Three years of research experience related to the domain of this position
• Experience working as part of an interdisciplinary research team
• Experience with supercomputing environments
• Strong understanding of artificial intelligence and deep learning frameworks
• Experience mentoring graduate students
• Experience of the principles of statistics, sampling theory and probability theory
• Experience with R, Python, SQL family
• Experience in geometric data analysis with a focus on forestry related objects
• Experience publishing research in high-impact, refereed journals
• Written and oral communication skills

Application Details (to apply use the Apply Now button below.)

How to Apply: Please click the "Apply Now" button below or visit: https://uidaho.peopleadmin.com/

Jobs at the University of Idaho. When inquiring or applying for positions at the University of Idaho, please also reference AcademicCareers.com

Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and professional and administrative staff employment opportunities at the University of Idaho and at other institutions of higher education in the region on www.AcademicCareers.com To receive email alerts when new jobs at the University of Idaho are posted, job seekers can sign up at new job openings at the University of Idaho

Why U of I?

Are you brave and bold? Come be a part of the Vandal family!

The University of Idaho is committed to promoting access and inclusion, which is supported by the Office of Equity and Diversity.   A variety of programs, services and policies promote our diversity initiatives and contribute to a respectful, responsive environment that supports the entire university population.

We offer a competitive benefits  package that includes core benefits such as medical, dental, and vision, as well as retirement and other exciting supplemental benefits that enhance the employment experience and life at U of I.

Work/Life Balance

Employee Assistance Plan: Benefit Services offers a robust employee assistance program  that is free and confidential. It provides eligible employees and their families with the opportunity to discuss personal problems with a professional counselor, receive unlimited telephone and Internet access to resource and referral information and obtain other self-help information.

Time Away from Work: The university offers a generous paid time off package  for benefit-eligible employees, as well as 12 paid holidays a year.

Lactation Rooms: Designated locations  across campus offer private rooms and resources for mothers to breastfeed or pump.

Campus Recreation: Student Recreation Center memberships are available to board-appointed U of I faculty, staff and their spouses. Employees must use payroll deduction for memberships.   

Eligible employees can purchase wellness passes  for the Student Recreation Center using payroll deduct.

Events: Check out what university events  are being offered, including seminars, classes, arts/entertainment, and social gatherings.

Educational Resources: Benefit-eligible employees and their families can enroll in University of Idaho courses at discounted rates using the education benefit .

U of I Children's Center: University employees have access to a year-round, child-centered child care center , conveniently located on campus. Fees vary depending on age and schedule.

About the area

Located in the beautiful rolling hills of the Palouse, Moscow  is a great place to live, work and play! In addition to housing our residential campus, this safe, close-knit community offers amazing restaurants, arts and entertainment, shopping, recreational activities, and breathtaking natural beauty. 

Area Resources:

Moscow Chamber of Commerce

City of Moscow

Latah County

The University of Idaho also provides state-wide impact through other campus locations including:

Coeur D'Alene

Idaho Falls

Boise 

If you have any questions about pursuing a career at U of I, contact [email protected] or 208-885-3611.

To see additional information about our job opening(s) or to apply, please click on the “Apply Now” button at the bottom of our job posting.

Jobs at the University of Idaho. When inquiring or applying for jobs at the University of Idaho, please also reference AcademicCareers.com

Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and professional and administrative staff employment opportunities with the University of Idaho and at other institutions of higher education in the region on AcademicCareers.com To receive email alerts when new jobs at the University of Idaho are posted, please sign up for new job openings at the University of Idaho.

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LOCATIONS A World of Opportunity

From the heart of Northern California’s Silicon Valley, to our centers across the globe, to our growing remote workforce, our mission to innovate, research and educate unites us while our commitment to diversity fuels future success.

Palo Alto, California

Located between San Francisco and San Jose, California, Stanford has several facilities and campuses that call their home Palo Alto.

Stanford Campus

• Sitting on 8,180 acres of foothills and flatlands, Stanford Campus is home to approximately 16,000 students, 2,000 faculty members and 13,000 employees
• At the forefront of sustainability, Stanford Campus includes more than 100 high-performance and energy-efficient buildings, and is the recipient of dozens of accolades and awards for its green initiatives

Research Park

• Nestled between Palo Alto's peaceful foothills and the neighboring shops and restaurants, this is where people come together to collaborate, discover, and break new ground
• With over 10 million square feet and 700 acres, our Research Park provides easy access to a dense network of recreation trails
• Located on 426 acres overlooking Stanford University's main campus and the communities of Palo Alto and Menlo Park, our SLAC campus supports 1,500 employees
• One of 10 Department of Energy (DOE) Office of Science laboratories operated by Stanford University on behalf of the DOE

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Redwood City, California

Located on the San Francisco Peninsula and five miles north of Stanford Campus, Stanford Redwood City is a center of excellence for critical areas that support the university’s mission of research and education.

• Sitting on 35 acres of land, Stanford Redwood City provides workspace for more than 2,700 employees
• Our four modern office buildings, café and outdoor promenade and plazas, child care center, parking garage and employee wellness center are on a path to providing 100% renewable energy by the end of 2021

We believe that expanding job opportunities around the world allows us to be more diverse and is key to future success

• Stanford Centers around the world include: Chile, China, France, Germany, Ghana, India, Italy, Japan Kenya, South Africa, Spain and the United Kingdom
• Staff across our global locations support programs and initiatives such as the Bing Overseas Study Program, transforming businesses in developing economies, research and disease education and prevention efforts