technical research scientist

Prolific

<div>
 
 AI Trainer &ndash; Research Scientists
 
 
 
 
 
 About Prolific
 
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 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.
 
 
 
 
 The role
 
 
 
 
 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.
 
 
 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.
 
 
 
 
 What you&rsquo;ll be doing in the role
 
 
 
 
 Completing AI training tasks such as analyzing, editing, and writing research-focused content
 
 
 Judging the performance of AI on research design, methodology, and scientific reasoning prompts
 
 
 Improving cutting-edge AI models using your experience in research and experimentation
 
 
 
 
 What you&rsquo;ll bring
 
 
 
 
 Experience working as a Research Scientist or in a closely related research role
 
 
 A strong understanding of scientific methodology, experimental design, and data analysis
 
 
 A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
 
 
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 
 
 A reliable and fast internet connection and access to a computer
 
 
 A Paypal account to receive payment from our clients*
 
 
 
 
 Why Prolific is a great platform to join as a Domain Expert participant
 
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 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)

Uber

<div>
 
 Employer:
 
 Uber Technologies, Inc.
 
 
 
 Job Title:
 
 Sr Data Scientist, Tech
 
 
 
 Job Location:
 
 New York, New York
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Rate of Pay:
 
 $261,248 to $313,498 per year
 
 
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 
 
 
 Duties:
 
 Build prototype software solutions to automate business processes to drive operational efficiency. Leverage data to understand business problems and opportunities for automation, enabling teams to action levers that drive incremental business value without increasing manual burden. Conduct architecture and code reviews with Engineering teams to enable prototype solutions through internal and external APIs, finding opportunities to apply new AI technologies and tools. Monitor and track performance of automated activities to ensure business continuity and re-assess relevance periodically, and move beyond the prototype stage where relevant in partnership with Engineering and Product teams. Manage an in-person team that carries out similar duties as above, and oversee a remote team of analysts that create dashboards and reports to communicate results and monitor key metrics, through analysis and building data pipelines. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. Supervise at least 1 Data Scientist / 15-2051; Data Scientists. May telecommute.
 
 
 Employer will accept a Bachelor's degree in Business, Economics, Engineering (Any), Data Science, Analytics, Computer Science, or related field, followed by five years of progressive, post-baccalaureate experience in the job offered or in a related occupation.
 
 
 
 Position Requires
 
 
 
 <ul>
 <li>
 R or Python;
 </li>
 <li>
 SQL;
 </li>
 <li>
 Designing and overseeing data products, analytics, and automation solutions;
 </li>
 <li>
 Leading technical teams in automation, analytics, or data science;
 </li>
 <li>
 Developing end-to-end prototype solutions to automate business processes and improve efficiency;
 </li>
 <li>
 Identifying opportunities for business and operation optimization and efficiency;
 </li>
 <li>
 Machine learning and AI capabilities and identifying use cases to drive automation;
 </li>
 <li>
 Deploying code and developing best practices for automation capabilities.
 </li>
 </ul>
</div>

Sr Data Scientist, Tech

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. 
 
We are seeking a talented Applied Scientist to join our advanced robotics team, focusing on developing and applying cutting-edge simulation methodologies for advanced robotics systems. This role centers on research and development of physics-based simulation techniques, sim-to-real transfer methods, and machine learning approaches that enable rapid development, testing, and validation of robotic systems operating in complex, real-world environments. 
 
Key job responsibilities 
<ul><li>Advance physics-based simulation fidelity for contact-rich manipulation and locomotion</li><li>Design and build high-performance simulation tools integrated into a robotics design stack</li><li>Translate research ideas into robust, verifiable data</li><li>Develop methods to quantify and reduce simulation-to-reality gaps across design, safety, and control</li><li>Architect scalable simulation solutions for rigid and deformable body dynamics</li><li>Build simulation pipelines optimized for a digital twin level of fidelity</li><li>Establish frameworks for continuous simulation improvement using real-world hardware</li><li>Collaborate with engineering, science, and safety teams on simulation requirements and validation</li></ul> 
About the team 
Our team is building a comprehensive robot simulation and modeling platform for advanced robotics development, combining locomotion and manipulation capabilities. We operate at the cutting edge of physics simulation, reinforcement learning, hardware-in-the-loop (HIL), and sim-to-real transfer, collaborating with world-class robotics engineers, scientists, and mechanical designers in a fast-paced, innovation-driven environment. 
 
This role uniquely combines fundamental research with real-world development. You will pursue core research questions in physics-based simulation while seeing your work translated into real robots, validated on real hardware. Working alongside Robot scientist and designers, you will help transform research ideas into scalable, quantifiable simulation capabilities that directly impact how robots are designed and built.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Currently has, or is in the process of obtaining, a PhD in computer science, computer engineering, or related field</li><li>2+ years of science, technology, engineering or related field experience</li><li>Deep expertise in physics-based simulation, including rigid and deformable dynamics, contact mechanics, computational geometry, and numerical methods</li><li>Experience designing and optimizing physics-based simulation systems for high-performance and large-scale computing environments</li><li>Strong programming skills in C++ and Python, with an emphasis on maintainable, performance-critical code</li><li>Working knowledge of modern physics engines such as MuJoCo, Isaac Lab, Drake, and Newton</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with reinforcement learning and policy training in simulation</li><li>Familiarity with differentiable physics, learned simulation models, or neural physics engines</li><li>Background in contact-rich manipulation or legged locomotion simulation</li><li>Experience with robotics model formats and pipelines (e.g., URDF, SDF, USD)</li><li>Expertise in GPU-accelerated computing and algorithms</li><li>Experience deploying simulation-trained policies on real robotic systems</li><li>Demonstrated research leadership, from project conception through publication and deployment</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually 
USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist II

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
If you&rsquo;re curious, empathetic, and passionate about video technologies&mdash;and excited about applying innovative machine learning techniques&mdash;we want you as a team member! This is a position where you&rsquo;ll get to be innovative and creative while working on challenging and impactful problems in the video space. You will prototype and integrate advanced models at scale, powering experiences used by customers all over the world, from small start-ups to major broadcasting companies. 
 
As a Senior Applied Scientist on the team, you&rsquo;ll be both a leader and a key technical contributor. A successful candidate has strong expertise in applied science (machine learning, artificial intelligence, data analysis) as well as effective communication and leadership skills, with experience mentoring and collaborating across disciplines. You must have a proven track record of delivering on your team&rsquo;s most critical and challenging projects and the ability to listen empathetically to differing opinions, building consensus to guide the team toward a deeper understanding of a problem. You&rsquo;ll need to be able to take ambiguous and complex problems and develop innovative models and algorithms that balance customer needs and timelines with long-term maintainability and scalability. 
 
If you&rsquo;re excited about media services and you want to grow your machine learning and applied science skills in a supportive environment, join our team and help customers get inspiring and compelling video content to their viewers! 
 
Key job responsibilities 
<ul><li>Building prototypes, optimizing and deploying advanced machine learning models into production to solve complex challenges in video processing, understanding, and content monetization</li><li>Collaborating with product management, engineers, and data scientists to design and drive the delivery of new customer-focused features and enhancements</li><li>Developing scalable solutions to enhance quality, improve the performance, and resiliency of our video services through data-driven modeling and experimentation</li><li>Participating in code and model reviews to help the team identify sharp edges, estimate edge cases, anticipate challenges, follow Amazon&rsquo;s best practices for AIML, and improve the quality of scientific and engineering work</li><li>Mentoring team members on machine learning best practices, advanced modeling techniques, and service improvements, fostering continuous growth in technical and research skills</li><li>Contributing to operational tooling and improvements, including building metrics, dashboards, and monitoring solutions to ensure our systems and models perform reliably at scale</li><li>Contributing towards publication of applied research work in conferences internally or externally</li></ul> 
About the team 
At Elemental, we focus on career growth and work with you to find projects that will help you succeed individually in your career while making the team successful. We will do our part to ensure you are challenged, while providing you with the tools, resources, and mentorship to support your development as a scientist. 
 
We recognize that you spend a large number of your hours at work and we value the importance of feeling fulfilled and satisfied in your role. We will collaborate with you to create a work environment that makes you most productive and contented, recognizing that it looks different for everyone. We also respect your life outside of work, and we are flexible in how you manage your schedule so you can find a flow that fits your life. 
 
AWS Infrastructure Services (AIS) 
 
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Extensive experience developing and deploying large-scale machine learning systems, particularly in video processing or computer vision</li><li>Expertise in large language models or demonstrated ability to develop this expertise quickly</li><li>Deep expertise in modern deep learning frameworks and production ML systems</li><li>Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually 
USA, OR, Portland - 167,100.00 - 226,100.00 USD annually</div>

Applied Scientist III, AWS Elemental

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 
 
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 
 
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. 
 
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! 
 
Key job responsibilities 
 
Develop foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video and text 
Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories 
Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences 
Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses 
Effectively communicate technical and non-technical ideas with teammates and stakeholders 
Stay up-to-date with advancements and the latest modeling techniques in foundation models, multimodal learning, and time series analysis 
Publish your research findings in top conferences and journals 
 
A day in the life 
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. 
 
About the team 
Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually 
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist II, Prime Video Personalization and Discovery Science

King Abdullah University of Science and Technology

Department/Division: Research Translation HubJob Title: Research Translation Engineer - BiotechnologyReports to: Manager, Research TranslationPosition SummaryReporting to the manager of research translation, the Biotechnology Research Translation Engineer will provide technical support and research translation guidance to KAUST researchers across a broad range of projects focused on preclinical drug discovery, assay development and biotech for food and agriculture. The job holder will contribute to the early-stage development and deployment of advanced technologies spanning vaccine development, in-vitro assays, NGS workflows, plant genetics and CRISPR plant editing. This role requires working collaboratively alongside researchers, technologists, and industrial partners to convert scientific innovations into functional systems. Activities span early‑stage research translation, technology scale‑up, field deployment, pilot‑unit engineering, technical assessments, and system performance optimization.Major Responsibilities&middot; Lead and provide technical support for drug discovery, vaccine development and gene editing research translation projects.&middot; Design and optimize cell-based assays, optimize genomic library preparation, and validate experimental protocols for translation into commercial or clinical applications.&middot; Convert research concepts into Target Product Profiles / Intended Use statements, user needs, and product requirements.&middot; Run TRL assessments, gap analyses, and maturation roadmaps for biotech/genomics platforms.&middot; Manage vendor engagements (CROs, sequencing providers): SOWs, timelines, QC and acceptance criteria.&middot; Establish project governance: milestones, risk register, reporting cadence, and stakeholder alignment.&middot; Collect and document feedback and identify necessary metrics to measure and optimize various product parameters against functional requirements&middot; Contribute to project planning, cost estimation, and technical feasibility studies; track milestones and communicate progress to project leads and stakeholders.&middot; Participate in project reviews, risk assessment and managementPersonal Requirements:Competencies&middot; Experience translating biology into screening cascades for preclinical discovery.&middot; Deep understanding of cell biology techniques, biological assay development, and modern genomics workflows.&middot; Understanding of microbial or plant biotechnology workflows (strain engineering, functional genomics, CRISPR plant editing, crop improvement, plant assays, or transformation strategies).&middot; Knowledge of vaccine development, diagnostic assay design and multi-omics analysis.&middot; Knowledge of the research and development value chain, including technology readiness assessment.&middot; Knowledge of intellectual property implications for scientific research projects.&middot; Strategic planning, organization, time management, analytical, and critical thinking skills with the ability to identify and solve problems, make decisions, and implement changes.&middot; Demonstrated ability to analyze workflows in order to streamline and improve business processes and workflows&middot; Ability to work independently using own initiative, handle multiple and complex tasks and prioritize ongoing and new work assignments and deliver high-quality work against tight deadlines.&middot; Strong analytical, communication, and documentation skills.&middot; Ability to work across multiple projects and interdisciplinary teams.&middot; Experience preparing technical reports, reviewing grant proposals, or regulatory submissions.Qualifications&middot; A degree in Cell Biology, Genetics, Molecular Biology, Bioengineering, or a highly related field.Experience&middot; 6 to 10 years of industry experience.&middot; Demonstrated delivery of validated assays or workflows for high throughput screening, gene editing or similar application.&middot; Extensive hands-on experience in molecular biology, next-generation sequencing (NGS) technologies, and cell culture optimization.&middot; Experience with material &amp; test specs generation, protocol &amp; report writing, process &amp; test development, design verification, and validation.&middot; Familiarity with quality systems (GLP/GMP) and regulated laboratory practices; experience interfacing with CLIA/CAP labs is a plus.&middot; Experience in supporting technical (R&amp;D) teams to ensure timely delivery of biological innovations.&middot; Knowledge of technology readiness levels, prototyping methodologies, and translationalresearch pathways.Work Location: In person

Research Translation Engineer - Biotechnology

Duke University

<div>
 School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
 
 
 
 Be You.
 
 
 
 At Duke University School of Medicine, we celebrate individuality, curiosity, and the power of interdisciplinary thinking. As a
 
 Research Technician I (Computational Biology &amp; Bioinformatics)
 
 , you&rsquo;ll join a collaborative and inclusive research environment where your quantitative skills, creativity, and scientific interests directly contribute to advancing cancer and brain tumor genomics.
 
 
 In the lab of
 
 Dr. Yi Zhang
 
 , you&rsquo;ll work alongside computational scientists, cancer biologists, clinicians, and engineers to develop and apply innovative data science approaches that help uncover biological insights from complex genomics data.
 
 
 
 Be Bold.
 
 
 
 This role is designed for early-career scientists who are excited to push boundaries in
 
 machine learning, integrative genomics, and cancer biology
 
 .
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Develop and implement novel machine learning and data analysis methods for large-scale multi-omics datasets, including:
 </li>
 <ul>
 <li>
 Bulk and single-cell RNA sequencing
 </li>
 <li>
 Spatial transcriptomics
 </li>
 <li>
 Single-cell and bulk multi-omics
 </li>
 <li>
 Genetic variation and functional genomics data
 </li>
 </ul>
 <li>
 Apply computational methods to integrative genomics studies focused on:
 </li>
 <ul>
 <li>
 Cancer genomics
 </li>
 <li>
 Tumor microenvironment
 </li>
 <li>
 Brain tumors
 </li>
 </ul>
 <li>
 Collaborate closely with Dr. Yi Zhang and lab members on computational method development and biological interpretation.
 </li>
 <li>
 Partner with interdisciplinary collaborators across Duke and external institutions in quantitative genomics and data science.
 </li>
 <li>
 Communicate scientific findings through writing, presentations, and peer-reviewed publications.
 </li>
 <li>
 Contribute to an open, collaborative research culture through code sharing and open-source development.
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For (Preferred Qualifications)
 
 
 
 <ul>
 <li>
 BS or MS (completed within the last 1&ndash;3 years or to be completed within 1 year) in a quantitative discipline such as:
 </li>
 <ul>
 <li>
 Computational Biology, Bioinformatics, Computer Science
 </li>
 <li>
 Bioengineering, Biostatistics, Statistics, Mathematics
 </li>
 <li>
 Electrical Engineering, Biomedical Data Science, or related fields
 </li>
 </ul>
 <li>
 Experience (or strong interest) in data analysis method development and computational implementation.
 </li>
 <li>
 Proficiency in Python or R, Linux/Unix shell scripting; experience with genomics pipelines and GitHub is a plus.
 </li>
 <li>
 Strong motivation to analyze genomics data and extract meaningful biological insights.
 </li>
 <li>
 Interest or experience in areas such as:
 </li>
 <ul>
 <li>
 Cancer genomics
 </li>
 <li>
 Tumor microenvironment
 </li>
 <li>
 Single-cell and spatial omics
 </li>
 <li>
 Immunology, gene regulatory networks
 </li>
 <li>
 Non-coding genome, genetic variants, and functional genomics
 </li>
 </ul>
 <li>
 Excellent communication skills, including scientific writing and presentations.
 </li>
 <li>
 A demonstrated ability&mdash;or strong potential&mdash;to publish in peer-reviewed journals.
 </li>
 <li>
 Enthusiasm for working in a multidisciplinary, collaborative research environment.
 
 </li>
 </ul>
 
 Choose Duke.
 
 
 
 Dr. Yi Zhang is an
 
 Assistant Professor at Duke University School of Medicine
 
 , with faculty appointments in
 
 Neurosurgery; Biostatistics &amp; Bioinformatics; Biomedical Engineering; and Cell Biology
 
 , and is a member of the
 
 Duke Brain Tumor Omics Program
 
 at the Preston Robert Tisch Brain Tumor Center.
 
 
 
 Her Training Includes
 
 
 
 <ul>
 <li>
 PhD in Bioengineering, University of Illinois at Urbana&ndash;Champaign
 </li>
 <li>
 Postdoctoral training at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health
 
 
 </li>
 </ul>
 Dr. Zhang has published over
 
 20 peer-reviewed articles
 
 in leading journals such as
 
 Cell, Nature Communications, Cancer Discovery, Genome Biology, Nature Machine Intelligence,
 
 and
 
 Neuro-Oncology
 
 . She is the recipient of multiple prestigious awards, including the
 
 NIH NIGMS R35 Award
 
 ,
 
 EECS Rising Star
 
 , and
 
 Emerging Scholars in Genomics
 
 .
 
 
 
 At Duke, You&rsquo;ll Benefit From
 
 
 
 <ul>
 <li>
 A supportive, inclusive, and international research culture
 </li>
 <li>
 Access to world-class collaborators in computer science, genomics, cancer biology, immunology, and neurosurgery
 </li>
 <li>
 Resources and mentorship to help you grow a successful scientific career
 
 
 </li>
 </ul>
 
 Ready to Make a Difference?
 
 
 
 Join us at Duke University School of Medicine and help advance the future of cancer and brain tumor genomics through data-driven discovery.
 
 
 
 Apply today.
 
 
 
 
 Knowledge, Skills And Abilities
 
 
 
 N/A
 
 
 Level Characteristics
 
 
 N/A
 
 
 
 Minimum Qualifications
 
 
 
 Education
 
 
 Work requires an Associate's degree in botany, biology, zoology, psychology or other science related scientific field.
 
 
 
 Experience
 
 
 
 None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
 
 
 Degrees, Licensures, Certifications
 
 
 None required above education/training requirement OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
 
 
 
 Anticipated Pay Range:
 
 Duke University provides an annual base salary range for this position as USD $18.00 to USD $26.49. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.
 
 
 Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/
 
 
 
 Equal Opportunity Employer:
 
 Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status.
 
 
 Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas&mdash;an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
 
 
 
 Essential Physical Job Functions
 
 
 
 Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).
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