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Job Description About Graphenix Development Inc. (GDI) GDI is creating the future of energy storage. GDI’s battery technology will allow electric vehicles to go much farther and batteries to last much longer. When a battery is running low, it will charge in a fraction of the time needed by conventional lithium-ion batteries. But that’s not good enough, not even close. GDI is focused on safety, and we’ve got the technology to prove it. But even that’s not enough, which is why we need your help to make the apex lithium-ion battery needed throughout the new economy. GDI is an investor-backed company focused on electrode development, manufacturing, and advanced materials. Our team has decades of experience and holds over 40 patents. We create cutting-edge technology that will make the world a better place. Position Summary We are seeking a Battery Materials QA/QC Technician to support internal quality assurance, incoming materials inspection, and process improvement activities within a battery research and development laboratory setting. This position will be responsible for inspecting and evaluating incoming anode materials, collecting and analyzing quality data, assigning numerical quality grades, and communicating results to battery engineers and scientists. The successful candidate will operate specialized scanning and inspection equipment with proprietary/internal software to evaluate incoming electrode materials against established quality specifications and criteria. The role will combine hands-on laboratory work with data analysis, root cause investigation, quality trending, and process improvement. This is an excellent opportunity for an early-career scientist or technician interested in developing expertise at the intersection of battery materials, quality control, data analysis, and manufacturing process development. Key Responsibilities Incoming Material Inspection & Quality Control Receive, identify, sample, and inspect incoming anode materials according to established procedures and specifications. Operate specialized scanning and imaging equipment to inspect incoming electrode materials for defects, variation, and other quality characteristics. Utilize internal software and analytical tools to process inspection data and evaluate material quality. Analyze scanned material data and assign numerical quality grades based on established quality criteria. Identify material defects, abnormalities, dimensional variation, surface characteristics, and other indicators of potential quality issues. Compare incoming material quality against specifications, historical data, and established acceptance criteria. Maintain accurate and complete records of incoming material inspections and quality grades. Identify and document out-of-specification or unusual material conditions. Maintain full traceability of material lots, samples, inspection results, and quality grades. Data Analysis & Quality Trending Analyze inspection and quality-control data to identify trends, patterns, variation, and potential sources of material or process instability. Develop and maintain spreadsheets, databases, reports, prepare presentations, and other tools used to track material quality. Monitor quality metrics and communicate changes or trends to engineering and R&D personnel. Compare material quality across suppliers, lots, batches, and processing conditions. Support development of statistical methods and quantitative approaches for evaluating material quality. Help establish and refine quality thresholds and acceptance criteria using historical and experimental data. Identify correlations between incoming material characteristics and downstream electrode-processing or cell-performance results. Root Cause Analysis & Corrective Action Participate in investigations of material-quality issues, defects, and unexpected process results. Perform structured root cause analysis using inspection data, historical trends, process information, and laboratory observations. Work with engineers and scientists to identify potential relationships between incoming material quality and downstream process performance. Support investigation and documentation of nonconformances and out-of-specification results. Help evaluate corrective and preventive actions designed to reduce defects and improve material consistency. Track the effectiveness of corrective actions through subsequent inspection and quality data. Engineering & Process Improvement Support Provide engineers and scientists with timely feedback regarding incoming material quality and observed trends. Communicate material-quality findings that may impact electrode processing, yield, or battery performance. Work collaboratively with engineering teams to identify opportunities for process improvement and yield enhancement. Support development of experiments and data-collection plans designed to investigate quality issues. Assist engineers in correlating material inspection results with downstream process and performance data. Provide quantitative feedback that can be used to optimize material specifications, processing parameters, and quality-control criteria. Contribute to continuous-improvement initiatives focused on reducing defects, minimizing material variation, and increasing overall process yield. Laboratory & R&D Support Follow established SOPs, work instructions, safety procedures, and quality-control protocols. Maintain inspection equipment and perform routine checks to ensure equipment is operating properly. Assist with calibration and verification of inspection and measurement equipment. Prepare and maintain material samples for additional laboratory characterization when required. Work closely with battery scientists, engineers, technicians, and other laboratory personnel. Assist with other battery-materials testing and laboratory activities as needed. Required Qualifications Associate's or Bachelor's degree in Materials Science, Chemistry, Chemical Engineering, Mechanical Engineering, Battery Technology, or a related technical field; equivalent technical experience may be considered. 0–5 years of experience in laboratory testing, quality control, materials characterization, manufacturing, or a related technical environment. Strong attention to detail and ability to consistently identify differences and abnormalities in material or inspection data. Comfortable working with computer-based inspection and analysis systems. Strong quantitative and analytical skills. Ability to accurately collect, organize, analyze, and document data. Proficiency with Microsoft Excel or similar data-analysis tools. Ability to follow standardized procedures while recognizing when results fall outside expected conditions. Strong written and verbal communication skills. Ability to work collaboratively with engineers, scientists, and laboratory personnel. Preferred Qualifications Experience with battery materials, electrodes, lithium-ion batteries, or battery manufacturing. Experience inspecting or characterizing anode or cathode materials. Experience operating scanning, imaging, microscopy, or other inspection equipment. Experience working with specialized laboratories. Experience with statistical analysis, data visualization, SPC, or quality trending. Familiarity with root cause analysis methodologies such as 5 Whys, fishbone/Ishikawa analysis, or similar structured problem-solving approaches. Experience working with material specifications, Certificates of Analysis, and lot-level traceability. Experience with laboratory information management systems (LIMS) or quality-management systems. Familiarity with DOE and experimental data analysis. Experience working in a battery R&D or manufacturing environment. Key Performance Areas Success in this role will be measured by the technician's ability to: Enjoy hands-on laboratory work Accurately and consistently inspect incoming anode materials. Produce reliable, repeatable material-quality grades. Identify quality trends and potential issues early. Maintain accurate material and inspection records. Support timely root cause investigations. Translate inspection data into useful information for engineers and scientists. Identify opportunities to reduce defects and material variation. Contributes to increasing process yield and improving overall material quality. Career Development This position provides an opportunity to develop practical expertise in battery materials characterization, quality engineering, automated inspection, statistical data analysis, root cause analysis, and process improvement. The role is well suited for an early-career candidate interested in progressing toward positions in battery materials engineering, quality engineering, process engineering, or battery R&D. Location: Rochester, NY. Compensation: GDI offers competitive market compensation as well as medical, dental, vision, and a 401k matching plan, and stock options. This position is full-time and pays hourly at the rate of $23-30 per hour. Eligibility: Applicants must be authorized to work in the United States and have reliable transportation. Please send a cover letter and resume to: apply@graphnx.com GDI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices and laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Third Party Agency and Recruiter Notice Agencies that present a candidate to GDI must have an active, non-expired, GDI Services Agreement with the GDI Human Resources Department. Additionally, agencies may only submit candidates to positions that they have been engaged to work on by a GDI Human Resources Department. All resumes must be sent to the GDI Human Resources department under these terms, or they will be considered a GDI candidate. Powered by JazzHR 6GswWdAOst

We're Hiring: Senior Research Scientist | LLMs, Conversational AI & Applied Machine Learning An exceptionally well-funded, high-growth AI unicorn is looking for a Senior Research Scientist to join its research team and help shape the next generation of intelligent AI systems. Backed by some of the world's most prominent venture capital investors, this company is building sophisticated AI agents that are already transforming how major industries operate. This is a rare opportunity for an accomplished researcher to move beyond purely academic research and own ambitious research initiatives, influence the technical roadmap, and see their work deployed into real-world AI products at scale. What You'll Be Working On • Leading cutting-edge research across large language models, conversational AI, machine learning, and AI safety., • Developing novel ML approaches, predictive models, and advanced evaluation methodologies., • Taking research from initial hypothesis and experimentation through to production deployment., • Helping define the company's long-term research direction and technical strategy., • Collaborating with exceptional researchers and engineers to solve complex, open-ended problems. Who We're Looking For • PhD in Computer Science, Mathematics, Theoretical Physics, or a closely related quantitative discipline., • 5+ years of postdoctoral research experience in academia or industry., • Strong academic research credentials, ideally with publications at leading conferences or journals., • Exceptional mathematical foundations, statistical reasoning, and programming ability., • Researchers who thrive on intellectual challenges and want greater ownership over the impact of their work. Why This Opportunity Stands Out • Research ownership: Shape the research agenda rather than simply execute someone else's roadmap., • Real-world impact: Work on AI systems already solving meaningful problems in production., • Exceptional financial backing: Join a rapidly scaling AI unicorn with significant resources and long-term ambition., • High-caliber environment: Work alongside ambitious researchers in a fast-moving, technically demanding organization., • Career acceleration: An opportunity to influence both scientific direction and product development as the company continues to scale.

Type: Temp (3–6 months) • Location: Remote US TZs Roles: Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager What You’ll Do (90% of your time) Sourcing (high-volume, targeted) • Build curated hit-lists (companies, labs, OSS repos, arXiv/Google Scholar, conference rosters)., • Run 120+ tailored outreaches/week; iterate subject lines/copy; track reply → screen conversion., • Deliver 12–20 net-new qualified prospects/week across the four roles. Screening (technical + fit) • 20–30 min calibration screen: LLM/ML fundamentals (serving, RAG, evals, fine-tuning), systems depth, and product sense., • Validate artifacts: repos, papers/preprints, benchmarks, shipped features., • Record structured notes to scorecards; advance/decline within 24 hours. Interviewing (structured, signal-rich) • Run/host first-rounds and working sessions:, • FDE: customer debug + rapid proto scenario., • Sr ML: system design for inference/training + MLOps trade-offs., • Research/Alignment: paper deep-dive, eval design, interpretability/RLHF discussion., • AI PM: PRD outline + model/metric trade-offs + experiment plan., • Keep panels on-script; capture evidence, not vibes. Must-Haves • 4+ yrs tech recruiting (2+ in AI/ML or deep eng). Comfortable doing first-pass tech screens., • Fluency with ATS + LinkedIn Recruiter; hands-on with GitHub search and academic sources., • Tight communicator; zero tolerance for sloppy pipelines.

Job Type: Flexible Contract (Remote) Job Summary: We are hiring experienced clinical and research scientists, including clinical laboratory scientists, translational researchers, assay development scientists, postdoctoral researchers, and advanced doctoral candidates, for a contract project that tests whether frontier AI agents can carry out real work in clinical and translational science. You will design research-grade tasks drawn from your own laboratory practice that a leading AI model cannot solve, then review how and why the model fails. We are especially interested in scientists with hands-on flow cytometry experience in clinical or research settings. What you will do: • Design self-contained tasks drawn from the practice of clinical and translational science, such as interpreting a multi-color immunophenotyping dataset from a hematologic oncology case, gating raw FCS files to identify an abnormal cell population, evaluating whether an assay validation meets its acceptance criteria, identifying the flaw in a translational study design, and reconciling a laboratory result that conflicts with the clinical picture., • Assemble the materials each task needs, including data files, protocols, case context, and reference ranges, write a reference solution, and define clear criteria or automated checks that determine whether a solution is correct. Because laboratory data is noisy and interpretation involves judgment, criteria need to be precise or use well-justified tolerances., • Run your task against a frontier AI agent, review its attempt with the same rigor you would apply to a case sign-out or a manuscript under peer review, and refine the task until the failure reflects a real gap in the model's scientific capability rather than ambiguity or trick wording., • Work with reviewers to bring each task to acceptance. Who we are looking for: • A PhD in biochemistry, immunology, cell biology, molecular biology, pharmacology, clinical laboratory science, or a closely related field. Advanced doctoral candidates with substantial hands-on laboratory experience are also encouraged to apply., • Hands-on experience in both clinical and research settings, such as work in a CAP or CLIA-accredited laboratory alongside academic, biotech, or pharmaceutical research., • Hands-on experience in at least one of the following areas: clinical flow cytometry and immunophenotyping, assay development and validation, cell-based and immunological assays, clinical chemistry, molecular diagnostics, biomarker analysis, or translational research supporting therapeutic development., • For flow cytometry candidates: experience analyzing raw data yourself, ideally including FCS files and FlowJo or comparable analysis software, rather than only overseeing analysis., • Working knowledge of Python or R for data analysis. Familiarity with the command line and Git is a plus., • Experience in assay validation, training or mentoring other scientists, peer review, or designing course assignments and assessments is a strong advantage, because the work draws on the same skills. Why Cobalt AI: • Advance frontier AI where it counts. Apply your scientific expertise to the data that frontier labs cannot obtain any other way, where your reasoning directly shapes how the next generation of models works through clinical and experimental problems., • Grow professionally. Expand your influence through evaluation projects, advisory roles, and research collaborations, while deepening your understanding of how frontier models are trained and assessed., • Work with a top-tier network. Collaborate with scientists from leading institutions, biotech companies, and clinical laboratories on high-impact, flexible work., • Set your own schedule. Flexible 10 to 40 hour weeks that fit around your research position and your life., • Competitive pay. Rates vary by project and are determined by a number of factors, including scope, skillset, and experience.

Job Type: Flexible Contract (Remote) Cobalt is hiring experienced biologists to review and build tasks that test whether frontier AI models can reason through real experimental science. Your job is to judge whether a model’s reasoning about an experiment is correct, and to explain precisely where it goes wrong when it is not. We are especially looking for scientists with hands-on flow cytometry experience. If you are the person in your lab who spots the flawed control, the mislabeled gate, or the conclusion the data does not support, this role is built around that skill. What you will do • Review AI-generated answers to experimental biology problems end to end, including the experimental design, the methods, the data interpretation, and the final conclusion, and confirm that each step is scientifically sound and consistent with the others., • Write realistic problems from your own area of expertise, along with reference solutions that show the reasoning a skilled scientist would follow, not only the final answer., • Look for ways a model could reach a correct-looking answer without sound reasoning, such as relying on a textbook pattern that does not fit the data, ignoring a missing control, or overlooking an artifact, and document each issue clearly., • Judge whether a model’s failure reflects a real gap in scientific reasoning, or instead reflects an ambiguous question, missing information, or an unfair reference answer., • Write clear, specific feedback and work with task authors through revisions until each task meets the acceptance standard., • Join occasional expert calls of 30 to 60 minutes with research teams who want to understand how experts approach a specific problem. Example tasks you might review include designing a multicolor flow cytometry panel for a given set of markers and instrument, critiquing a gating strategy and identifying where a population was misassigned, explaining why compensation errors produced a false double-positive population, and judging whether a reported difference between treatment groups is supported by the data. Who we are looking for • PhD in biology, immunology, cell biology, biochemistry, or a closely related life sciences field., • Hands-on laboratory experience, gained through research, a thesis, a postdoctoral position, a core facility, or industry work. You should be comfortable reading an experimental protocol and saying whether it would work., • Strong working knowledge of experimental design, including controls, replicates, and when a difference between two results is meaningful., • Careful, direct written communication. Much of the job is explaining precisely what is wrong and why., • No prior experience with AI is required. Strong advantages • Hands-on flow cytometry experience, including panel design, compensation, gating, and data analysis, using instruments such as the BD FACSymphony or Cytek Aurora and software such as FlowJo, FCS Express, or OMIQ., • Experience with spectral or mass cytometry, or with clinical flow cytometry such as leukemia and lymphoma immunophenotyping., • Experience managing or working in a core facility, training other scientists, or serving as a peer reviewer for a journal. Why Cobalt AI • Shape how AI understands science. Your judgment directly determines which tasks are used to measure what leading models can and cannot do in biology., • Use your expertise in a new way. You will see up close how frontier models reason about experiments and where they break., • Fit the work around your current role. Set your own schedule, with flexible weeks that can scale up or down around your research and other commitments., • Grow with us. Strong reviewers can move into task design, project leadership, and research collaborations on future projects.

People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data. We need a Data Scientist with a proven track rec

Communicate research findings and technical decisions clearly through design documents, experiment reviews, and presentations to technical and clinical partners. Mentor less experienced researchers and engineers through project collaboration, code and experiment reviews, and technical guidance. Stro

The Associate Research Scientist specializes in implementation science, qualitative and mixed methods research, and applied health services research. A successful Associate Research Scientist typically advances to Research Scientist in one to three years. Participate in successful proposals for new

The Research Assistant will be tasked with assisting in clinical trial testing as part of the Rochester General Hospital Research Institute. May also assist with research projects as a part of RGHRI. Responsibilities: • Assists senior team members in conducting research projects, collecting samples and analyzing data., • Performs sample collections or experiments with limited guidance of senior team members., • Analyzes data with limited guidance of senior team members., • Collects blood specimens via venipuncture and skin puncture according to physician orders applicable to regulations, policies and procedures to ensure complete and accurate specimens for testing., • Adheres to established safety guidelines inclusive of the use of appropriate equipment and practices., • Obtains the required specimens, labels and transports specimens to specified area., • Prepares specimens for processing and completes paperwork associated with the test ordered., • Manages incoming calls while providing necessary information, • Greeting patients and/or their representatives and providing direction as needed., • Scheduling or pre-scheduling patient appointments, if applicable., • Interviewing the patient and/or their representative for necessary information and completing the registration process as defined by policy., • Verification of insurance eligibility/coverage and obtaining necessary authorizations when applicable., • Ensures the accuracy of all data collected while meeting the regulatory requirements as outlined by department policy., • Exhibits effective communications skills when dealing with patients, physicians, hospital personnel., • Flexibility and transportation to multiple Patient Service Centers or other affiliated centers required., • Prepares specimens for processing and completes paperwork associated with the test ordered., • Processes clinical specimens: receives samples, labels, logs and enters sample numbers into an electronic database., • Performs microbiology and immunology tests using appropriate equipment and practices (training will be provided)., • Ensures the accuracy of all data while meeting the regulatory requirements as outlined by department policy., • Exhibits effective communications skills when dealing with study team personnel., • Flexibility in schedule of work required. Minimum Qualifications: • Associates degree in related field required for experiment-based duties and preferred for clinical-based duties, • Ability to follow training and testing protocols as established within RGHRI, • Functions with direction from Research Scientist or Research Associate, Lead Licensure/Certification Skills: • None Preferred Qualifications: • Bachelor's degree for experiment-based duties, • Medical Assistant Certification for clinical-based duties, • Phlebotomy Certificate for clinical-based duties, • Minimum 1 year experience in related field, • Computer skills, • Phlebotomy training or willing to become trained Education: AS (Required) Licenses / Certifications: Physical Requirements: Moderate - Clinical - Moderate clinical roles are patient facing roles that require continual movement, including standing, walking, and lifting 2050 lbs., along with pushing and pulling medical equipment and assisting with patient positioning. Employees perform frequent bending, twisting, and reaching while completing fine motor tasks in busy or confined clinical environments. High sensory acuity is essential for monitoring patient status and responding to alarms or safety concerns. Emotional and cognitive demands are substantial, involving decision-making under pressure, responding to emergencies, and maintaining sustained focus. Environmental exposures include infectious agents, bodily fluids, chemicals, and radiation. TB testing, mask-fit testing, and physical exams are common requirements. For disease specific care programs refer to the program specific requirements of the department for further specifications on experience and educational expectations, including continuing education requirements. Any physical requirements reported by a prospective employee and/or employee's physician or delegate will be considered for accommodations. Pay Range: $18.10 - $20.00 City: Rochester Postal Code: 14621 The listed base pay range is a good faith representation of current potential base pay for a successful full time applicant. It may be modified in the future and eligible for additional pay components. Pay is determined by factors including experience, relevant qualifications, specialty, internal equity, location, and contracts. Rochester Regional Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, predisposing genetic characteristics, marital or familial status, military or veteran status, citizenship or immigration status, or any other characteristic protected by federal, state, or local law.

Applied Scientist (Remote | $245–$280/hr).

Collaborate remotely with cross-functional R&D teams to bridge academic research and industrial scenarios, boosting research achievement commercialization;. A minimum of 3 years of post-PhD experience in industrial R&D, academic research or professional research institutions with solid theoretical a

Contractor (Part-Time, approximately 15 hours/week).This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization.The role is highly coding-intensive, with a focus on Pyth

ML Engineer (MSc. or PhD) (Remote | $60–$120/hr) Position: ML Engineer (MSc. or PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents. Key Responsibilities • Develop and validate machine learning models, training pipelines, and inference systems., • Implement model components, data pipelines, evaluation systems, and numerical methods., • Build reproducible workflows using Python and command-line tools., • Debug numerical and system-level issues and optimize memory usage and performance., • Create, solve, review, and validate challenging machine learning engineering tasks. Required Qualifications • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field., • Strong professional or research experience in machine learning., • Practical proficiency in Python and experience using coding agents., • Ability to implement, debug, and validate complex machine learning workflows. Preferred Qualifications • Experience at an established technology company, AI laboratory, or research organization., • Exceptional academic or open-source engineering experience demonstrating relevant expertise. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

Strong professional or research experience in machine learning. Experience at an established technology company, AI laboratory, or research organization.

Applied Scientist (Remote | $245–$280/hr).An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning.Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quali

Noetive is a research lab building recursive self-improvement to develop intelligence for the physical economy. We're looking for a PhD or equivalent research track record, deep fluency in modern deep learning (PyTorch, distributed training, LLM fine-tuning and RL), a strong publication or open-sou

This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all S

Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required. Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics. This opportu

Founding AI Scientist - Pathology Foundation Models Remote (Must be US Based) The Role You will lead the strategy and development of pathology foundation models, shaping how they are designed, trained, evaluated, and deployed into clinical and pharmaceutical applications. This is a highly cross-functional role spanning research and production. You will define how foundation models integrate with biological context, multimodal data, and downstream decision-making systems moving beyond isolated model improvements to building end-to-end, real-world solutions. As an early-stage hire, you will play a key role in shaping both the technical direction and the organisation itself. Required Experience • Strong publication record in machine learning, including multiple first-author papers at leading conferences or journals, • Deep understanding of modern ML architectures (e.g. transformers, attention mechanisms, state-space models, mixture-of-experts), • Experience working with GPU clusters and large-scale ML infrastructure (e.g. Kubernetes, SLURM, or similar), • Solid software engineering skills and ability to build production-grade systems, • Excellent communication skills, with the ability to convey complex ideas to both technical and scientific audiences Preferred Background • Experience in oncology, cancer biology, or drug development, • Exposure to biomedical or healthcare foundation models, • Experience with multimodal and cross-modal learning systems, • Familiarity with healthcare regulatory frameworks (e.g. FDA, HIPAA), • Contributions to open-source ML ecosystems, • Experience working with distributed or community-driven research groups, • Previous experience in a startup or early-stage environment To apply please reach out to Sam Shinner at Discover International

Global Talent Search 2027 | Early and Mid-Career Research Talent We are seeking outstanding early- and mid-career researchers worldwide for international research and innovation opportunities. We collaborate with leading universities, research institutions, and innovative enterprises to connect emerging research talent with opportunities in scientific research, technological innovation, and long-term career development. Priority Research Areas Artificial Intelligence | Advanced Manufacturing | New Materials | Biotechnology & Pharmaceuticals | New Energy | Electric Vehicles | Data Science | Life Sciences | Environmental Science | Digital Economy | Strategic Technologies Who We Are Looking For We welcome PhD-qualified applicants at the following career stages: • Postdoctoral Researchers: PhD graduates currently undertaking postdoctoral research, with relevant expertise and demonstrated research potential., • Industry R&D Experts: Researchers with experience conducting independent research and a record of academic or applied research achievements., • Associate Professors and Above: Academics at the Associate Professor level or higher, with experience in research, teaching, or both. Applicants from universities may hold research-focused, teaching-focused, or combined appointments. Applicants from industry must hold a Scientist I position or above. Requirements: • A PhD degree in a relevant scientific, engineering, or technology discipline, • At least three years of research experience in an academic or industry setting, • A strong research track record, demonstrated through publications, patents, or other relevant achievements, • An interest in independent research and international collaboration Opportunities Selected candidates may have opportunities to: • Develop independent research directions, • Lead or participate in research and innovation projects, • Work with established research teams and leading institutions, • Engage in international academic and industry collaboration, • Explore long-term academic or industry career opportunities Attractive Compensation & Funding Competitive employment packages may include: • Annual Salary: Approximately USD 70,000 – USD 285,000+, depending on qualifications, experience, discipline, and host institution., • Government Talent Award: Eligible candidates may receive talent award up to USD 570,000, and housing support up to USD 240,000, • Outstanding researchers may also become eligible for additional research funding of up to USD 715,000. Additional support may include housing assistance, family-related support, and other applicable benefits, depending on the specific opportunity and candidate profile. If you are an early- or mid-career researcher looking to advance your research and explore new opportunities, we welcome you to connect with us. How to Apply Please send your CV and a brief summary of your research interests to . #Research #Innovation #GlobalTalent #PhD #Postdoc #EarlyCareerResearcher #RAndD #AI #Biotechnology #NewMaterials #NewEnergy

You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through.

This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical w

Develop research scenarios where the correct conclusion must be derived from. Collaborate with project reviewers and other domain experts to refine research tasks. Provide details about your drug discovery and scientific research experience.

Verasight was founded by and for academic researchers. We are building the future of survey research with unparalleled data quality and a re-imagined survey respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect academic research, national policy, the direction of Fortune 500 companies, and the public conversation. We are looking for a Data Engineer to build the tools and data infrastructure behind our survey research. We are a scrappy team, and you will work directly with our data science team to build Verasight and to expand access to high-quality survey data. This role reports to the VP of Data Science. We depend on colleagues who are diverse, team-oriented, novel thinkers, and passionate about redefining the survey research landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Does this position sound like a good fit? In addition to applying on LinkedIn, email us at • Include this role's title in your subject line (it'll help us to sort through the emails), • Include your CV/Resume, a one-paragraph statement of interest, and a link to your GitHub profile (if available) Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc About the Role Our data scientists field surveys, clean and weight data, monitor panel quality, and deliver results to clients. Much of the tooling that makes that work fast and trustworthy includes R packages for reporting, pipelines for survey fielding and recruitment, cost and margin tracking, panel quality monitoring, and AI-assisted tools that turn questionnaires into live surveys. You will help own and extend that tooling. Your customers are our data scientists. Your job is to understand how they work well enough to build tools that make their work faster, more reliable, and easier to audit. You'll see the whole system end to end and ship right-sized solutions. Responsibilities • Build and maintain internal tools, packages, and pipelines (largely R and Python) that remove bottlenecks from survey fielding, data cleaning, weighting, reporting, and panel monitoring, • Work alongside data scientists on live projects to learn their workflows before automating them, so the tools fit how people actually work, • Respond quickly when a data scientist hits a wall; you'll often be the first call, • Scope problems well: decide whether a need calls for a script, a package, a scheduled job, a service, or nothing at all, • Use AI coding and analysis tools as a real part of your workflow, verify what they produce, and help shape what responsible AI use looks like at Verasight, • Partner with Verasight leadership on where our data infrastructure should go, solving today's problems in ways that help us move into the future. Required Qualifications • 2+ years writing code that other people depend on, in Python or R, and willingness to work in the other, • Comfort with SQL and relational databases, • Working fluency with Git, GitHub, and code review, • Some experience with cloud services or managed platforms (we use AWS, Supabase, Railway, and Vercel, among others); we care more that you can learn a platform and less about the specific stack you’re most comfortable with today, • Sound security instincts: you keep secrets out of code, think about who can access what, and handle sensitive data carefully, • Hands-on experience using AI tools to write or review code, and informed opinions about where they help and where they don't, • Excellent written communication, including clear READMEs and short design notes, • Willingness to operate independently and desire to constantly innovate, • Commitment to working in an inclusive environment, • Preferred: experience with survey data or Qualtrics, R package development, CI/CD (GitHub Actions), containers or infrastructure-as-code, scheduled data pipelines, familiarity with survey methodology (weighting, sampling, data quality checks) We don't require a computer science degree, experience at a large tech company, or years on a specific big-data stack. If this sounds like you and you're unsure about a bullet, apply anyway. Benefits • Competitive salary based on experience, • 401(k) with company matching, • Health insurance, • Gain experience working directly with government agencies, nonprofits, academic researchers, and corporations, • Remote work About Us Founded by Peter Enns (Cornell Professor of Government & Public Policy) and Ben Leff (Stanford GSB and ex. Goldman Sachs), Verasight was built by and for academic researchers. Our customers include national media organizations, Fortune 500 companies, national and state government agencies, investors, brands, and researchers. We are looking for bold leaders to join our team to re-invent what it means to collect and analyze survey data.

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develops methodology and processes for prioritization and scheduling of projects.Analyzes problems and determines root causes.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

About the Company We are an international academic and technology exchange platform dedicated to fostering global research and innovation. Working with world-leading universities, institutes, and listed companies, we host international programs, conferences, and academic events to attract top scholars worldwide. Our mission is to build competitive research teams and accelerate cross-border knowledge, technology, and talent exchange, driving scientific advancement across disciplines. About the Role You have the autonomy to select your laboratory and hold absolute authority over it. Opportunity to establish your own research group and grow into a Young PI. Full support for international collaborations, academic conferences, and project partnerships. Responsibilities • You have the autonomy to select your laboratory and hold absolute authority over it., • Opportunity to establish your own research group and grow into a Young PI., • Full support for international collaborations, academic conferences, and project partnerships. Qualifications • PhD degree from a globally recognized university or leading research institute, • Strong academic background with proven independent research capability, • Demonstrated record of high-quality publications or project leadership, • Willingness to collaborate with Chinese academic or industrial partners, • Open to outstanding applicants of all nationalities Required Skills • STEM or related applied disciplines, • International research, industry, or innovation experience, • Expertise aligned with strategic areas such as:, • New energy and green technologies, • Advanced materials and manufacturing, • Biomedicine and life sciences, • Artificial intelligence, data science, digital technologies, • Semiconductor and high-end equipment, • Open to all nationalities, • No geographic relocation requirement Preferred Skills • Strong academic background with proven independent research capability, • Demonstrated record of high-quality publications or project leadership, • Willingness to collaborate with Chinese academic or industrial partners Pay range and compensation package • Annual Salary: USD 200,000 – 300,000+ (negotiable based on qualifications), • Research Startup Funding: up to USD 400,000, • Housing & Settlement Support: up to USD 400,000 (talent housing, rental subsidies, or property purchase assistance), • Additional Support:, • Comprehensive “one-stop” onboarding and long-term service support, • Career Development Opportunities, • Clear promotion path: Scientist → Senior Scientist Equal Opportunity Statement Open to outstanding applicants of all nationalities. We are committed to fostering an inclusive environment that values diversity and supports equal opportunity for all individuals regardless of nationality or background.

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