research scientist

NTENT

<div><div><b>Research Scientist</b></div>
<div></div><div><b>Position:</b> Full time</div>
<div><b>Location:</b> Carlsbad office</div>
<div></div><div><b>About Us:</b></div>
<div>NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company&rsquo;s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.<br>
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We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.</div>
<div><br>
<b>About the Opportunity:</b><br>
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.</div>
<div></div><div>We are looking for a <b>Research Scientist</b> to join our team and drive research and development efforts for our News Platform and systems that evaluate the quality of documents and detect misinformation.</div><br>
<div></div>
<div></div><div><b>Duties and Responsibilities:</b></div>
<ul><li>Partner with product managers, machine learning scientists and engineers to formalize appropriate research questions that are relevant to our News Platform.</li>
<li>Conduct independent research, perform extensive literature reviews, sort through prior published work to find potential solutions.</li>
<li>Design experiments and lead data collection efforts.</li>
<li>Work with large amounts of text data and leverage statistical and machine learning methods.</li>
<li>Communicate and transfer solutions to production together with scientists and engineers.</li>
<li>Communicate ideas, methods, opportunities, and results to cross functional partners.</li></ul><br>
<div></div><div><b>Skills and Qualifications:</b></div>
<div></div><ul><li>Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social Sciences or other quantitative field.</li>
<li>3+ years of professional experience or equivalent experience in a research lab. Recent PhD graduates are especially encouraged.</li>
<li>Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing, entity recognition and extraction etc.)</li>
<li>Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.</li>
<li>End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.</li>
<li>Proficient with Python or R.</li>
<li>Experience with Spark, PySpark.</li>
<li>Exceptional written, verbal, and visual communication.</li>
</ul>
<div></div><div><b>The following experience is a plus:</b></div>
<ul><li>Experience in the news domain (fact checking, detecting misinformation etc.) and knowledge of journalistic principles highly desired.</li>
<li>Experience in computational journalism highly desired.</li>
<li>Publication track record is a big plus!</li>
</ul>
<div></div><div>The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.</div>
<div></div><div>We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.</div></div><div></div>

Research Scientist

The University of Texas at Austin

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  Job Posting Title:
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 Research Scientist
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  Hiring Department:
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 Department of Women's Health
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  Position Open To:
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 All Applicants
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  Weekly Scheduled Hours:
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 40
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  FLSA Status:
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 Exempt
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  Earliest Start Date:
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 Immediately
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  Position Duration:
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 Expected to Continue
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  Location:
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 AUSTIN, TX
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  Job Details:
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  Purpose
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 The Research Scientist will support the research projects within the department led by faculty, fellows and residents. This position will provide the following types of support to ensure research projects run smoothly, meet the study specific objectives and within the specified timelines: study design and development, database development and support, data collection and management, data analysis, and publication and presentation development.
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  Responsibilities
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  Data Management:
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   Develops methodologies and databases for collecting data using REDCap, Qualtrics and other data collection platforms.
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   Manages data for clinical/non-clinical trials in all stages of study from different sources: collection, extraction, quality control, cleaning, data manipulation, preparation.
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   Provides insight into current health data architecture and possible solutions to barriers.
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   Monitors for compliance with federal and state regulations as well as internal and partner requirements (such as IRB approval, Dell Medical School policies) needed to access or share health data.
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   Serves as an internal resource to faculty, fellows, and residents to answer questions related to data access, data aggregation, and data management.
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   Works closely with analysts and informatics staff and with external data teams in Dell Medical School&rsquo;s partner institutions.
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   Receives, manages and delivers requested data tasks; works with data requestors to translate data requests into logical queries using standard language and tools.
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  Statistical Consulting and Study Collaboration:
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   Collaborates with investigators to develop statistical analysis plan.
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   Carries out statistical analyses independently/completes statistical responsibilities for more complex projects with supervision.
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   Performs power and sample size calculations.
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   Helps to define research questions and then translates into appropriate methodologies and statistical analyses.
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   When applicable, provides feedback about study design, protocols and feasibility as it relates to given timelines and setting.
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   When applicable, assists with the interpretation of data.
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   When applicable, assists with the preparation of data for presentations and publications.
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   Regularly attends division research meetings, lab meetings and 1:1 meetings with collaborators inside and outside of the institution.
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  Required Qualifications
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   Master's degree in a related field
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   10 years of professional experience with complimentary experience in a data-related field such as data analysis and data management or a PhD and 5 years of professional experience with complimentary experience in a data-related field such as data analysis and data management.
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   2 years&rsquo; experience with biostatistical and epidemiological knowledge for descriptive statistics, data cleaning/validation, clinical data quality assurance and outcomes, or research design.
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   Proficient in a range of statistical techniques and procedures.
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   Ability to use R and SAS.
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   Ability to perform power and sample size calculations.
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   Experience developing REDCap databases.
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   Ability to work in high-performing and multidisciplinary teams.
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  Relevant education and experience may be substituted as appropriate.
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  Preferred Qualifications
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   PhD in related field or DrPH from accredited university.
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   Management and analysis of large, complex clinical research trials.
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   Familiarity with Gpower and PASS.
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   Familiarity with SmartSheet, Qualtrics and other data management programs.
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 Salary Range
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 $80,000 + depending on qualifications
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 Working Conditions
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   May work around standard office conditions
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   Repetitive use of a keyboard at a workstation
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   Occasional weekend, overtime, and evening work to meet deadlines
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 Required Materials
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   Resume/CV
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   3 work references with their contact information; at least one reference should be from a supervisor
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   Letter of interest
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  Important
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  for applicants who are NOT current university employees or contingent workers:
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 You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
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 <strong>
  Important for Current university employees and contingent workers:
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 As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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  Employment Eligibility:
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 Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
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  Retirement Plan Eligibility:
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 The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
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  Background Checks:
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 A criminal history background check will be required for finalist(s) under consideration for this position.
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  Equal Opportunity Employer:
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 The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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  Pay Transparency:
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 The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information.
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  Employment Eligibility Verification:
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 If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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  E-Verify:
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 The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university&rsquo;s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
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   E-Verify Poster (English and Spanish) [PDF]
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   Right to Work Poster (English) [PDF]
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   Right to Work Poster (Spanish) [PDF]
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  Compliance:
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 Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
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 The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
</div>


NYU Langone Health

<div>
 1156464_RR00116215 Job ID: 1156464_RR00116215
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 <br/>
 NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 <br/>
 <br/>
 <em>
  For more information, go to
 </em>
 <em>
  med.nyu.edu
 </em>
 , and interact with us on
 <em>
  LinkedIn
 </em>
 ,
 <em>
  Glassdoor
 </em>
 ,
 <em>
  Indeed
 </em>
 ,
 <em>
  Facebook
 </em>
 ,
 <em>
  Twitter
 </em>
 <em>
  and
 </em>
 <em>
  Instagram
 </em>
 .
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 <strong>
  Position Summary
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 We have an exciting opportunity to join our team as a Research Scientist.
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 In this role, the successful candidate is responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory.
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  Job Responsibilities
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   Formulates and conducts research on problems of considerable scope and complexity.
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   Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance.
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   May manage the operations of a lab for the Principal Investigator by supervising Post Docs and technicians. Oversees the maintenance and upkeep of all instruments and laboratory facilities.
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   Ensures timely and accurate completion of research projects.
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   May provide students with technical guidance and direction in the operation of various sample preparation techniques, extraction lines, and equipment as well as general laboratory practices and safety protocols.
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   May seek grant funding from external sources in support of their independent research projects with consent of the PI and the Department Chair. May participate in writing grant proposals.
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   May be responsible research/lab quality control and compliance.
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   May develop protocol for the collection and quality of research data.
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   Develops research techniques and methodologies.
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   May determine and establish laboratory policies, procedures and practices.
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   Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.
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   Makes decisions and recommendations that have a major impact on extensive scientific research activities.
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   Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences.
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   May make significant contributions to scientific papers. Is a resource/ author/ co-author for reports and presentations.
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   May provide recommendations for equipment purchases and for the redesign of lab space.
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   May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems.
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   May serve on internal committees to help further goals of research projects and bring new expertise to the research program.
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   Performs other related duties as assigned.
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   Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission.
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  Minimum Qualifications
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 To qualify you must have a MS degree and 2-4 years of experience or equivalent combination of education and experience.
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  Preferred Qualifications
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 Substantial experience from having completed Post Doc training. Established a record of publications
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 <em>
  Qualified candidates must be able to effectively communicate with all levels of the organization.
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 </em>
 NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
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 NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
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 View Know Your Rights: Workplace discrimination is illegal.
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 NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $58,500.00 - $81,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
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 To view the Pay Transparency Notice, please click here
</div>


Valvoline Global Operations

<div>
 <strong>
  Why Valvoline Global Operations?
  <br/>
  <br/>
 </strong>
 At
 <strong>
  Valvoline Global Operations
 </strong>
 , we&rsquo;re proud to be
 <strong>
  The Original Motor Oil
 </strong>
 , but we&rsquo;ve never rested on being first. Founded in 1866, we introduced the world&rsquo;s first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of
 <strong>
  Aramco
 </strong>
 , one of the world&rsquo;s largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.
 <br/>
 <br/>
 With a global presence, we develop
 <strong>
  future-ready products
 </strong>
 and provide
 <strong>
  best-in-class services
 </strong>
 for our partners around the world. For us, originality isn&rsquo;t just about where we began; it&rsquo;s about where we&rsquo;re headed and how we&rsquo;ll lead the way.
 <strong>
  We are originality in motion.
  <br/>
  <br/>
 </strong>
 Our Corporate Values&mdash;Care, Integrity, Passion, Unity, And Excellence&mdash;are At The Heart Of Everything We Do. These Values Define How We Operate, How We Treat One Another, And How We Engage With Our Partners, Customers, And The Communities We Serve. At Valvoline Global, We Are United In Our Commitment To
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 <ul>
  <li>
   Treating everyone with care.
  </li>
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   Acting with unwavering integrity.
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   Striving for excellence in all endeavors.
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   Delivering on our commitments with passion.
  </li>
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   Collaborating as one unified team.
   <br/>
   <br/>
  </li>
 </ul>
 When you join
 <strong>
  Valvoline Global
 </strong>
 , you&rsquo;ll become part of a culture that celebrates creativity, innovation, and excellence. Together, we&rsquo;re shaping the future of automotive and industrial solutions.
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 <strong>
  How You&rsquo;ll Make An Impact
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Research Scientist
 </strong>
 , this role is responsible for developing and continuously improving Valvoline driveline and EV lubricant products, including transmission, gear, transfer case, and electric vehicle fluids. The position collaborates closely with regional Product Strategy and OEM teams to drive innovation in product concepts and performance claims, while conducting performance and quality testing to support formulation approvals and renewals. This role manages documentation for industry and OEM specifications, supports blending plant operations through production and new product introduction, and provides leadership to scientists by guiding project execution, ensuring safety compliance, and fostering professional development.
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 <strong>
  Responsibilities Include
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  <br/>
 </strong>
 <ul>
  <li>
   Work with a Safety First mindset
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   Lead the formulation development of new EV lubricant fluids including those for hybrid transmissions and battery electric vehicles by evaluating and selecting additives, base oils, and other materials to meet differentiated performance requirements set by OEMs.
  </li>
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   Understand the mechanical requirements of EV hardware and applications to formulate products to meet the needs of an EV lubricant. Able to complete a root cause failure analysis if needed
  </li>
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   Assist in the development of new Driveline lubricant fluids for China region, including those for light-duty and heavy-duty transmissions, gear oils, and transfer cases by evaluating and selecting additives, base oils, and other materials to meet differentiated performance and product application requirements.
  </li>
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   Present data and claims of Valvoline products to technical and engineering teams during customer meetings in support of the Valvoline OEM team.
  </li>
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   Design and manage novel testing protocols to validate new product formulations in support of differentiated claims, product licensing, OEM approvals, and regulatory compliance.
  </li>
  <li>
   Support Product Strategy, Sales, Marketing, Key Accounts, and Customer Care by delivering technical expertise, product training, and guidance on performance claims.
  </li>
  <li>
   Lead a team of scientists, ensuring safety compliance while providing direction and mentorship to support successful project execution and career growth.
  </li>
  <li>
   Provide technical support to Valvoline's blending plants, including production troubleshooting, new product introductions, and updates to quality specifications.
  </li>
  <li>
   Additional duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum B.S. in Chemistry or Engineering Discipline with direct experience.
  </li>
  <li>
   Masters or Doctorate in Tribology, Mechanical Engineering, Chemistry, or Automotive/Materials Engineering Preferred.
  </li>
  <li>
   Experience formulating finished lubricants, either for an oil marketer, additive supplier or base oil manufacturer.
  </li>
  <li>
   Knowledge of transmission, gear, and EV specifications and qualification procedures is advantageous.
  </li>
  <li>
   Experience with analytical test methods and laboratory methods is beneficial, especially surface evaluation such as SEM.
  </li>
  <li>
   Candidate should have experience organizing and managing complex projects and working with tight deadlines.
  </li>
  <li>
   Knowledge of the lubricant market, including competitors and product landscape.
  </li>
  <li>
   Mathematical modeling of Driveline hardware.
  </li>
  <li>
   Collaborative skills to advance projects both internally and externally.
  </li>
  <li>
   Strong communication/presentation skills
  </li>
  <li>
   Computer Skills - specifically Outlook, Excel, Power Point, SAP and QC software
  </li>
  <li>
   Statistical methods and design of experiments
  </li>
  <li>
   People management with a focus on empowerment and development
  </li>
  <li>
   Working Conditions / Physical Requirements: Ability to lift up to 50 pounds.
  </li>
  <li>
   Travel Requirements: Up to 20% travel requirement, some international travel.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits That Drive Themselves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Health insurance plans (medical, dental, vision)
  </li>
  <li>
   Health Savings Account (with employer base deposit and match)
  </li>
  <li>
   Flexible spending accounts
  </li>
  <li>
   Competitive 401(k) with generous employer base deposit and match
  </li>
  <li>
   Incentive opportunity*
  </li>
  <li>
   Life insurance
  </li>
  <li>
   Short and long-term disability insurance
  </li>
  <li>
   Paid vacation and holidays*
  </li>
  <li>
   Employee Assistance Program
  </li>
  <li>
   Employee discounts
  </li>
  <li>
   PTO Buy/Sell Options*
  </li>
  <li>
   Tuition reimbursement*
  </li>
  <li>
   Adoption assistance*
  </li>
  <li>
   Terms and conditions apply, and benefits may differ depending on position or tenure
   <br/>
   <br/>
  </li>
 </ul>
 Valvoline Global is an
 <strong>
  equal opportunity employer
 </strong>
 . We are dedicated to fostering an environment where every individual feels valued, respected, and empowered to contribute their unique perspectives and skills. We strictly prohibit discrimination and harassment of any kind, regardless of race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity, or any other legally protected characteristic.
 <br/>
 <br/>
 We are committed to ensuring accessibility throughout our recruitment process. If you require a reasonable accommodation to participate in any stage of the recruitment or selection process, please contact us at:.
 <br/>
 <br/>
 <ul>
  <li>
   Email: Valvolineglobalcareers@valvolineglobal.com
   <br/>
   <br/>
  </li>
 </ul>
 This contact information is solely for accommodation requests. For inquiries about application status, please use the appropriate channels listed in your application materials.
 <br/>
 <br/>
 <strong>
  Are You Ready to Make an Impact?
  <br/>
  <br/>
 </strong>
 At Valvoline Global, we&rsquo;re looking for passionate and talented individuals to join our journey of innovation and excellence.
 <strong>
  Are you ready to shape the future with us? Apply today.
  <br/>
  <br/>
 </strong>
 Requisition ID: 2257
</div>


New York University

<div></div><div><div><div><div><div><div>New York University: NYU - NY: Arts and Science (A&amp;S): Physics Department
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>New York, NY
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Mar 31, 2026
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The Assistant Research Scientist supports ongoing research within the Center for Quantum Information Physics under the supervision of Professor Javad Shabani. The role involves active participation in laboratory research alongside graduate and undergraduate students, contributing to projects in material development for superconducting quantum electronics. Responsibilities include assisting with process design and development, device fabrication, and materials characterization. The position also involves maintaining research documentation, supporting collaborations within the group, and contributing to the overall progress of sponsored research activities.</p>
<p>
This position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.</p>
<p><b>
In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $18.00/hr.</b><b> New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer</b><b>.</b></p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p>Bachelors in related field</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div><p></p>

Assistant Research Scientist (Shabani)

Prolific

<div>
 <strong>
  AI Trainer &ndash; Research Scientists
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   About Prolific
   <br/>
   <br/>
  </strong>
 </em>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  <strong>
   The role
   <br/>
   <br/>
  </strong>
 </em>
 We&rsquo;re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world&rsquo;s biggest AI labs. If you have the necessary experience, we&rsquo;ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a Domain Expert participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
 <br/>
 <br/>
 <em>
  <strong>
   What you&rsquo;ll be doing in the role
   <br/>
   <br/>
  </strong>
 </em>
 Completing AI training tasks such as analyzing, editing, and writing research-focused content
 <br/>
 <br/>
 Judging the performance of AI on research design, methodology, and scientific reasoning prompts
 <br/>
 <br/>
 Improving cutting-edge AI models using your experience in research and experimentation
 <br/>
 <br/>
 <em>
  <strong>
   What you&rsquo;ll bring
   <br/>
   <br/>
  </strong>
 </em>
 Experience working as a Research Scientist or in a closely related research role
 <br/>
 <br/>
 A strong understanding of scientific methodology, experimental design, and data analysis
 <br/>
 <br/>
 A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
 <br/>
 <br/>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 <br/>
 <br/>
 A reliable and fast internet connection and access to a computer
 <br/>
 <br/>
 A Paypal account to receive payment from our clients*
 <br/>
 <br/>
 <em>
  <strong>
   Why Prolific is a great platform to join as a Domain Expert participant
   <br/>
   <br/>
  </strong>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 <br/>
 <br/>
 <ul>
  <li>
   Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Links to more information on Prolific
  <br/>
  <br/>
 </strong>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 Privacy Statement
 <br/>
 <br/>
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
</div>


AI Training - Research Scientist (PST)

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 <br/>
 <br/>
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  </li>
  <li>
   You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  </li>
  <li>
   Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualification:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  </li>
  <li>
   Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
  </li>
  <li>
   Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
  </li>
  <li>
   Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
  </li>
  <li>
   Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
  </li>
  <li>
   Familiarity with software engineering best practices (version control, documentation, etc)
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3 year PhD student and above
  </li>
  <li>
   Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
  </li>
  <li>
   Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
  </li>
  <li>
   Hands-on experience working at the intersection of AI and Biology
  </li>
  <li>
   Experience in large-scale distributed training and inference
  </li>
  <li>
   Open-source contributions, especially if used by others
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 <br/>
 <br/>
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Research Scientist Intern

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Research Scientist Intern