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Job Description Job Title: Food Scientist Job Description This role focuses on leading and executing product trials at commercial bakeries to qualify new suppliers and ensure that new products meet established sensory profiles and specifications. You will manage the scale-up of products from the laboratory to full manufacturing, conduct bench work and lab testing that accurately mimic factory processes, and oversee all trial-related documentation. The position requires regular travel to bakeries across the United States, independent project ownership as an R&D food scientist, and responsibility for managing ingredient specifications while supporting a high-visibility biscuit department initiative. Responsibilities • Lead and execute trials at commercial bakeries to qualify new product suppliers., • Ensure new products match the sensory profile and technical specifications of existing products., • Manage the scale-up of new products from laboratory development to full manufacturing processes., • Conduct bench work and lab testing that closely mimic the manufacturing process before factory trials., • Plan, lead, and document pre-trial and post-trial meetings, ensuring all trial-related records are complete and accurate., • Travel to bakeries across the United States for product trials approximately twice per month., • Work independently as an R&D food scientist, taking ownership of projects and driving them forward to completion., • Manage specifications for new ingredients, including creation, review, and maintenance of spec documentation., • Apply knowledge of ingredient functionality to design, optimize, and troubleshoot formulations., • Run trials in factory settings and pilot plants to validate product performance under manufacturing conditions., • Collaborate with cross-functional teams to support a year-long initiative in the biscuit department and contribute to other departments as needed., • Communicate trial results, observations, and recommendations clearly to stakeholders., • Ensure that lab and factory trials align with safety, quality, and operational standards. Essential Skills • Bachelors degree in Food Science, Chemistry, or a closely related field., • At least 2 years of experience in food manufacturing, including hands-on exposure to pilot plants, manufacturing sites, and bakeries for product testing., • Minimum of 2 years of R&D experience in a food-related environment., • Proven experience leading and running trials in a factory setting., • Strong bench work and laboratory testing experience, including the ability to design tests that mimic manufacturing processes., • Demonstrated knowledge of specification management for ingredients and finished products., • Solid understanding of ingredient functionality and its impact on product performance and sensory attributes., • Experience in food manufacturing with exposure to savory products; beverage manufacturing experience is acceptable when combined with strong manufacturing experience., • Experience in new product development and research and development within food manufacturing., • Ability to work independently and drive R&D projects from concept through scale-up. Additional Skills & Qualifications • Experience working with commercial bakeries and large-scale food production environments., • Comfort with frequent travel for trials and on-site collaboration at manufacturing locations., • Strong analytical and problem-solving skills for troubleshooting formulations and processes., • Effective communication skills for leading meetings and presenting trial results., • Adaptability to support different product categories, including biscuits and other departments, based on business needs., • Interest in working with well-known, recognizable consumer brands., • Ability to manage multiple projects and trials while maintaining accurate documentation and specifications. Work Environment • This role operates within a dynamic food manufacturing and R&D environment that combines laboratory work, pilot plant activities, and factory-floor trials., • You will follow a hybrid schedule, typically spending 34 days per week in the office when not traveling, with approximately two trips per month to bakeries across the United States for trials., • While on site, you will have access to laboratory equipment, manufacturing facilities, and pilot plant resources to conduct bench work and scale-up activities., • The workplace offers practical amenities such as free lunch for contractors and employees Monday through Friday and espresso machines available to everyone., • Travel arrangements for trials can be booked through the internal travel team or paid upfront by you and reimbursed according to policy., • The environment emphasizes collaboration across departments, with opportunities to support a year-long biscuit department project and potentially move into other areas or permanent roles based on performance, all while working with exciting and widely recognized food brands.Job Type & Location This is a Contract position based out of Little Falls, NJ. Pay and Benefits The pay range for this position is $30.00 - $37.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Contract position based out of Little Falls, NJ. Application Deadline This position is anticipated to close on Oct 29, 2026. Workplace Type This is a fully onsite position in Little Falls,NJ. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job DescriptionOur Client, a Medical Research company, is looking for a Medical Laboratory Scientist - Traveler for their Clifton, Nj location. Responsibilities: • Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result;, • Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens;, • Analyze specimens using approved testing procedures (see department SOPs)., • Review and release test results., • Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines., • Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations and all maintenance performed;, • Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance., • Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor., • Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications., • Follow department's procedure in reporting STATS or Critical results to clients., • If applicable, answer questions from customers or other lab personnel., • Maintain complete records of all testing performed on-site., • Maintain general appearance of the department., • Make sure reagents/test kits have received dates, expiration dates, and if applicable opened dates., • Review/train on new procedures., • Attend monthly department and any additional training/educational meetings., • Participate in all applicable safety training sessions. Know the location and contents of the safety manual. Know the location/use of all applicable safety equipment., • If needed, participate in government or regulatory agency inspections., • Perform other duties as directed by supervisor. Requirements: • Required Knowledge: A solid understanding of basic laboratory testing is required for this position. The successful candidate must possess good computer skills and be able to adapt to working in multiple computer systems. Must have knowledge of QC and QA as well as knowledge of all areas of the laboratory., • BS in Medical Technology preferred; or BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493. 1433 published in March 14, 1990., • Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation). United States educated candidates must provide a detailed original transcript., • A successful candidate should possess or be eligible for national certification as an MT / MLT from a recognized organization (ASCP or AMT)., • Work Experience:, • 1 year Clinical experience (high complexity testing) preferred., • Minimum of 1 year of clinical laboratory experience in highly complex testing for those with BS/BA in Chemistry or Biology., • National and State licensure as required., • Special Requirements:, • Must have the ability to establish work priorities and handle several procedures simultaneously., • Must interact with other departments., • Contact with clients may be required, good customer service skills are important., • Must protect patient confidentiality at all times., • State of Credentials Licenses Required:, • MLS (ASCP) preferred Why Should You Apply? • Health Benefits, • Referral Program, • Excellent growth and advancement opportunities

Job Description Job Title: Quantum Optics Scientist (Post-Doc) Location: Hoboken, NJ Department: Tomorrow About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description We are seeking a Postdoctoral Researcher in Quantum Optics to join our research and development team focused on QCi’s entropy quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role emphasizes theoretical modeling and simulation of quantum photonic devices and systems and requires strong expertise in quantum optics. The successful candidate will collaborate closely with both the high-performance computing application team and the entropy computing hardware team to advance QCi’s next-generation computational technologies. Duties and Responsibilities • Develop and apply theoretical models of quantum photonic devices and systems relevant to entropy quantum computing., • Perform simulations of optical components, integrated photonic circuits, and light matter interactions to guide device design., • Explore new architectures in quantum optics that enhance the efficiency and scalability of entropy-based computing solutions., • Contribute to algorithm–hardware co-design by identifying opportunities where photonic implementations provide competitive advantages., • Explore and develop quantum algorithms compatible with entropy computing in collaboration with the scientific computing group at QCi., • Publish and present research outcomes in journals and conferences. Required Skills and Experience • PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field with a focus on theoretical quantum optics., • Deep expertise in quantum optics, including fields such as quantum coherence, entanglement, cavity/circuit QED, or nonlinear optics., • Strong background in mathematical modeling and numerical simulation of photonic or quantum systems., • Proficiency in scientific programming languages such as Python, MATLAB, or C++., • Demonstrated research record with publications in leading journals., • Strong communication skills and ability to work collaboratively across interdisciplinary teams. Preferred Qualifications • Familiarity with quantum information science, quantum computing, or related computational approaches., • Experience with integrated photonics, waveguide-based systems, or light–matter interaction models., • Knowledge of statistical physics approaches to open quantum systems and noise modeling., • Industry, government, or academic R&D experience in quantum technologies., • Experience mentoring junior researchers or working in collaborative project teams. Quantum Computing Inc. (QCi) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

Job DescriptionAbout Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needsProblem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical visionLeadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Compensation Base salary range: $150,000 – $240,000 per year. The salary range represents Dyania Health's good-faith estimate of the base compensation for this position at the time of posting. Actual compensation will depend on factors such as experience, qualifications, skills, and other job-related considerations. This position may also be eligible for participation in Dyania Health's employee stock option plan. Benefits Benefits available to eligible employees include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Life and disability Insurance Work Arrangement Hybrid position requiring approximately 3–4 days per week in our Jersey City, NJ office, with approximately 1 day per week remote.

Job DescriptionMedical Laboratory Scientist Location: Clifton, NJ Onsite Flexibility: Onsite Contract Details • Position Type: Contract, • Contract Duration: 6 months, • Pay Rate: $40.00 / Hour (USD), • Shift / Schedule: Dayshift / EST Monday to Friday, 9:00 AM to 5:30 PM with weekend rotations, • Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Job Summary This position is responsible for performing clinical laboratory testing in accordance with established laboratory procedures, regulatory requirements, and quality standards. The successful candidate must possess a solid understanding of basic laboratory testing, good computer skills, and the ability to adapt to working in multiple computer systems. Knowledge of QC and QA as well as knowledge of all areas of the laboratory is required. Key Responsibilities • Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting, and maintaining records of patient test results., • Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens., • Analyze specimens using approved testing procedures (see department SOPs)., • Review and release test results., • Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines., • Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations, and all maintenance performed., • Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance., • Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered, or immediately notify the senior technologist or supervisor., • Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications., • Follow the department's procedure in reporting STATS or Critical results to clients., • If applicable, answer questions from customers or other lab personnel., • Maintain complete records of all testing performed on-site., • Maintain general appearance of the department., • Make sure reagents/test kits have received dates, expiration dates, and if applicable opened dates., • Review/train on new procedures., • Attend monthly department and any additional training/educational meetings., • Participate in all applicable safety training sessions; know the location and contents of the safety manual; know the location/use of all applicable safety equipment., • If needed, participate in government or regulatory agency inspections., • Perform other duties as directed by supervisor.Required Skills, • Solid understanding of basic laboratory testing, • Good computer skills with the ability to adapt to working in multiple computer systems, • Knowledge of QC and QA, • Knowledge of all areas of the laboratory, • Ability to establish work priorities and handle several procedures simultaneously, • Ability to interact with other departments, • Good customer service skills; contact with clients may be required, • Ability to protect patient confidentiality at all timesEducation Requirements, • BS in Medical Technology preferred; or BS/BA in Chemistry or Biology; or Associates degree in a Laboratory Science or Medical Technology; or previously qualified as a Technologist under 42 CFR 493.1433 published in March 14, 1990, • Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation), • United States educated candidates must provide a detailed original transcript, • Candidate should possess or be eligible for national certification as an MT / MLT from a recognized organization (ASCP or AMT), • National and State licensure as requiredRequired Experience, • Minimum of 1 year of clinical laboratory experience in highly complex testing required for candidates with a BS/BA in Chemistry or BiologyNice-to-Have Experience, • 1 year of clinical experience in high complexity testing preferredBenefits, • Medical, Vision, and Dental Insurance Plans, • 401k Retirement FundAbout the Client This client is a world-leading provider of diagnostic information services in the healthcare industry, serving one in three adult Americans annually and supporting half of the physicians and hospitals across the United States, with laboratory operations extending internationally. With nearly 50,000 employees, the organization operates at national scale while delivering the diagnostic insights that drive clinical decisions, guide treatments, and ultimately save lives. The company employs laboratory scientists, technologists, logistics professionals, and business talent who work across clinical, patient-facing, and technical support functions all united by a culture built around enriching employee experience, expanding opportunity, and elevating belonging. About GTT GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada. Job Number: 26-16662 Industry: Healthcare #gttqst

Job DescriptionApplied AI Researcher New Jersey, Jersey city GenAI / NLP / Agentic AI / Applied Machine Learning LevelResearch-focused Individual ContributorTarget / alternate titlesApplied Scientist; Research Scientist - NLP; AI Research Scientist; ML Researcher; NLP Scientist; GenAI Researcher; Applied ML ScientistCore keywordsapplied research, LLM, NLP, transformers, RAG, retrieval, model evaluation, experiments, robustness, embeddings, synthetic data, multimodal, PyTorch, Hugging Face, banking AI, AWS AI, AIRPRecruiter red flagsAcademic-only profile with no applied delivery; weak experimental design; cannot translate research into AIRP-ready business or engineering requirements; no awareness of regulated data constraints. Role purpose Bridge advanced AI research and practical enterprise use cases by validating models, methods, and prototypes that can become production-grade AIRP solutions. The role focuses on measurable business value, rigorous experimentation, model behavior, and safe translation of research into banking-relevant applications. Client-specific emphasis • Research must be grounded in enterprise business use cases, not generic AI experimentation., • Candidates should understand how model, retrieval, data, evaluation, latency, cost, and safety decisions affect production delivery on AIRP., • Cloud/AWS awareness is valuable because successful research outputs must be handed off to engineering teams building on AWS-hosted AIRP.Primary ownership, • Applied research agenda for LLMs, NLP, RAG, evaluation, multimodal AI, and agentic workflows relevant to enterprise use cases., • Prototypes, experiments, benchmark design, model-selection recommendations, and production-readiness evidence., • Research-to-production handoff with AI engineering, AIRP platform, product, risk, and governance teams.Key responsibilities, • Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI., • Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, enterprise usefulness, and production feasibility., • Prototype AI solutions for KYC, credit underwriting, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening., • Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, business outcome metrics, and risk-specific acceptance criteria., • Assess prompt optimization, RAG, fine-tuning, instruction tuning, synthetic data generation, distillation, and model adaptation techniques., • Document model limitations, data assumptions, hallucination patterns, bias risks, performance boundaries, and control recommendations for regulated deployment., • Collaborate with engineers to convert prototypes into production-ready AIRP requirements, including latency, cost, observability, security, and AWS/cloud deployment considerations., • Track emerging AI research and translate relevant advances into practical recommendations for the enterprise.Must-have candidate profile, • Advanced degree preferred, usually MS or PhD in AI, ML, computer science, statistics, computational linguistics, mathematics, or related field., • Strong foundation in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI., • Hands-on experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation., • Python skills with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent research frameworks., • Ability to design rigorous experiments and communicate findings to technical, product, business, risk, and governance stakeholders., • Ability to translate research results into production requirements suitable for an AWS-hosted enterprise platform.Preferred experience, • Research or applied science experience in banking, finance, compliance, risk, legal, operations, financial crime, sanctions, or enterprise knowledge systems., • Experience with AWS Bedrock, SageMaker, vector search, MLflow, Databricks, model evaluation tooling, or cloud-based experimentation environments., • Publications, patents, internal research contributions, open-source AI contributions, or prior research-to-production handoffs., • Familiarity with Responsible AI, model validation, privacy constraints, audit documentation, and regulated deployment environments. Regards, Sr. Technical Recruiter Shubham Chandra Shubham.c@echoitsol.com

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the role Join Syndio to sell mission‑driven, category‑defining tech. We help companies get pay right. For almost a decade, we have led in pay equity software and now, with Decisions, we are delivering instant, explainable guidance for offers, promotions, and adjustments right where work happens. Decisions embeds fairness with policy‑aligned recommendations and auditable guardrails, helping customers hire faster, reduce attrition, strengthen compliance, and improve performance. You'll help the world's largest employers move from fixing pay once a year to getting it right every time by partnering with CHROs, Heads of Total Rewards, Legal, and Talent Acquisition. Because we're creating a category, we need AE comfortable with ambiguity: testing new approaches, learning fast, and folding what works into your talk track. Expect high impact, true enterprise rigor, and a product you can be proud to sell. Why this job is exciting • Own the full sales cycle, from generating pipeline to close. You'll partner with our ADRs and Marketing, and when there are gaps, you fill them and advocate for what your territory needs., • Define and execute territory plans and account plans to ensure you exceed your goals., • Build and manage a healthy pipeline of complex, multi-stakeholder deals, navigating buying committees and RFPs that can involve 10–15 people., • Quarterback the demo: run core product demos yourself, and partner with our Solutions Engineering team to tailor deeper demos around the value, business case, and story each buyer needs to hear., • Participate in the RFP process for prospects, including qualifying leads to ensure a good fit and providing a final review of all responses., • Operate with the mentality that sales is a team sport, and bring in Syndio SMEs (e.g. lawyer, labor economist, data scientist, testifying expert, CEO) to help you win and exceed your goals., • Get in front of customers: we're building a stronger in-person motion, with travel about 1–2 times per quarter for onsites, executive meetings, and events., • Operate as a self-directed owner of your territory in a fully remote, distributed team. You'll build your own structure and cadence rather than wait to be told what to do next.About you, • You have more than 7+ years experience in sales, and 5 years as a closer, • Consistent overachievement in complex enterprise sales, where complexity means the deal, not just the deal size: multiple departments, long cycles, and many steps to close, • You multi-thread naturally, building relationships with 3–5+ core stakeholders on a deal and selling to executives, with a tailored value story for each, • You've sold somewhere scrappy. When something wasn't built yet, or a client asked a question you couldn't answer, you figured it out instead of waiting for a team to do it for you, • You forecast accurately because you know your deals: you spot what's missing and work with your manager to close the gap, • You can run a confident product demo and tell the story behind it, and you know when to bring in a Solutions Engineer, • You have experience in outbound prospecting and generating leads in your territory, • You are proficient in Salesforce, LinkedIn Sales Navigator, Outreach (or equivalent), and Gong. You use AI tools (e.g. Claude/ChatGPT, Gong AI, Clay) as a normal part of how you research accounts, prep for calls, and personalize outbound, not as a novelty, and you bring ideas for where technology can help the team, • You have a highly disciplined approach to selling, • You are savvy, capable of curating a thoughtful approach to pay equity, diversity and inclusion, and workplace fairness for each individual client, • You're comfortable operating in ambiguity, building your own playbook when one doesn't fully exist yet, rather than waiting for one, • You bring a positive attitude, hustle, and persistence to your role, • You are an excellent communicator, able to build relationships quickly with your colleagues, clients, and prospects, • You're consultative, not scripted. You're curious, a great listener who knows where to poke and prod with prospects to inspire them to take action and drive organizational change, • You know how to drive a deal and proactively lead prospects and customers (rather than reacting to their requests), • You are proficient with spreadsheets, presentation, and project management business applications, • You are committed to our mission of workplace equity and passionate about Syndio productsExtra credit, • Experience selling to compensation and total rewards professionals, • Overall understanding of the HR technology landscape, • Background selling compensation, HR, Business Intelligence/Analytics solutions, • Experience selling an AI-native or AI-augmented product, where the pitch itself has to explain how the AI works, not just what it does, • A track record of in-person, field-based selling: onsites, coffees, and events that build relationships beyond ZoomRole progression We're rebuilding onboarding with AI built in across every function, so new AEs ramp faster, with a ramped quota through your first year. • Within 2 months, you'll know the core of Syndi, understand Essentials and Decisions, the pay equity and compensation space, and the vocabulary our buyers use. You'll be leading discovery calls and core demos, and you'll have a territory plan., • Within 3–6 months, you'll be building pipeline across your territory through outbound, events, and in-person meetings, and leading sales efforts at large enterprise accounts with SE support., • Within 6 months, you'll be confident in your role and will provide input into other areas of the business (e.g. marketing & product) based on what you're hearing from prospects. For reference, our most recent AE hire closed their first deal within 6 months and exceeded quota the first year.Why you'll love it here:, • ???? Competitive Compensation. For this role our base salary is targeted at $145,000- $150,000 base per year with a $290,000 - $300,000 at target earnings, with no cap. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • ???? Syndio Equity. So you can share in Syndio's success., • ???? Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave., • 16 weeks of paid parental leave, • ???? Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • ???? Life Insurance & Disability. Syndio covers the full premium., • ???? 401(k). To help you save for your future., • ????Remote-first working model, with travel about 2-3 times per quarter #LI-Remote The Interview overview Below you'll find an outline of the interview plan for our Account Executive position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min interview with a member of our Talent Team, • 45 minute zoom interview with the Hiring Manager, • 45 minute zoom interview with a sales leader and one of our Account Executives, • Zoom interview with a member of our executive team, • Final presentation to a panel - 60 minutes, • In person meet & greet At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Our client, a hugely successful, innovative, and well established bakery products company is experiencing enormous growth and now seeking a Director, Innovation & R&D as an addition to staff: Job Title: Director, Innovation & R&D Department: R&D/Innovation; ‘Bake Excellence’ Reports to: Ownership Collaborates with: Baking Direct Reports: Food Scientists/Technologists; Application Chefs/Bakers; Lab Techs. Overview: ‘Imagineer’ and oversee all aspects of Research and Development activities related to the creation and betterment of our company’s bread and baked goods products. Collaborate with Baking, Quality, Operations, Engineering and other Departments to qualify, optimize, and commercialize these new products and their processing, always with the goal to meet and exceed our customers' demands and expectations. This position requires a resourceful background in food science, baking technologies, and project management, along with exceptional leadership and collaboration skills. Presence Expectations: • Presence in the Facility, spanning five work days per week;, • ‘On the R&D/Production Floor’ Presence during trials, troubleshooting, initial commercializing;, • ‘In the Lab’ during Reviews and Meetings;, • ‘On the Road’ for Food and/or Ingredient Shows and Conferences; occasional Presentational or Technical visits to Customers; at will to seek new ideas. _ Essential Company-Wide Duties: • Be a ‘Bake Excellence’ Steward who supports and protects the Mission and Culture of our Company., • Exemplify Transformative Leadership., • Maintain a Safe and Sanitary Working Environment for all employees., • Support highest level Food Safety Program and Culture. Infuse Purpose, Clarity, Energy, and Opportunity to your Department and Workforce. • Promote and Support Training and Growth of Personnel, inclusive direct training by you to those who directly report to you; while, equally, showing those directly under you the foundations to train those directly under them; etc., • Create a Platform of Walk-Throughs, Meetings, Huddles and Reviews that are efficient, informative, and preliminary for ensuing follow up actions; you shall moderate those meetings that need your direct involvement., • Support your departments with measured and sensible Metrics, which will become consolidated into accurate and detailed Reporting, presented daily, weekly, monthly, quarterly, etc. Departmental and Positional Responsibilities: Intimately Know Our Products, Our Equipment’s Capabilities, Our Markets, Our Customers- and their needs; • Structure a 3 Year Plan for New Products, engaging Marketing and Consumer Trends;, • Create and exercise a Stage-Gate Process that will collaborate with supporting personnel and departments to ideate and imagineer the development and subsequent commercialization of new bakery products, including, but not limited to, new breads, bread-based snacks, filled / folded handheld breads, par baked breads, frozen dough, non-flour based baked goods and sweet goods;, • Develop and maintain quality control procedures for test raw materials, ingredients, and finished products to ensure consistent product quality and food safety during testing and development., • Establish proper laboratory and kitchen procedures to ensure the proper testing of products, use of equipment, delivery of samples to customers and preparation of presentations for visiting customers and clients., • Manage sensory evaluations and laboratory testing to monitor and improve product attributes and shelf life., • Stay updated with food safety regulations and industry standards to ensure products meet all necessary requirements., • Work with Baking, Processing and continuous Improvement to provide improvements and/or savings to products and production;, • Attend, present and represent the company at food shows, supplier/customer events, Customer presentation and/or ‘pilot’ runs;, • Travel to different markets, both domestic and global, to keep abreast with changing Consumer trends; QUALIFICATIONS • College educated, though no specification as to major;, • Baking or Culinary Scientist or Equivalence, • ‘Foodie’ Friendly, • Project-Management highly skilled, • Minimum 15 years of experience working within the Food Industry; minimum 10 years of those years involved in R&D/Innovation; vast experience working with ‘Bakery’ _ COMPENSATION • $165K to $200K Base Annual Salary, pending Qualifications, • Incentives based on Scorecard and/or mutually agreed Goals and Timelines, • Medical, 401K Programs, • 20 PTO Days annually, • Major Holidays This is a growth opportunity with an industry leader!

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity 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-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected char

Our core values define who we are as an organization and serve as the foundation of our code of ethics.Arbor Research expects all employees to embody and demonstrate in our day-to-day work.We expect each staff member to learn from and teach one another and ask each to exhibit curiosity and respect

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence.Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care.With one of the largest proprietary radiology report datasets in the world,

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 w

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.

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

Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4–6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics • Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics., • Design and execute advanced statistical analyses to identify business trends, risks, and opportunities., • Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets., • Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization., • Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues., • Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development • Design and implement end-to-end machine learning pipelines from data ingestion to deployment., • Perform feature engineering, feature selection, and data transformation to improve model performance., • Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies., • Optimize machine learning algorithms for scalability, accuracy, and interpretability., • Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration • Partner with data engineering teams to build scalable data pipelines and analytical data models., • Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms., • Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication • Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics., • Present analytical findings, model results, and recommendations to both technical and non-technical audiences., • Translate complex data science concepts into business-friendly insights and actionable recommendations., • Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting • Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools., • Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: • MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field., • 5+ years of applied machine learning, data science, or AI experience in a professional setting., • Demonstrated experience owning projects or major workstreams from initial problem definition through delivery., • Excellent programming skills in Python to include strong overall OOP experience., • Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks., • Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider., • Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI., • Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining., • Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar., • Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services., • Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous., • Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams., • Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders., • High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: • Hands-on experience with the C3 AI platform., • Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role., • Experience delivering AI solutions for large enterprises or Fortune 500 clients., • Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries., • Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization., • Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

An established global trading firm is opening a new chapter in AI.Having built one of the most respected proprietary trading businesses in the world, it is now creating a dedicated AI group and expanding the central team behind it.The group’s research covers deep learning, foundation models, gener

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

PhD talent recruitment and R&D empowerment.We cooperate with leading global tech innovators to build an elite, flexible research platform for doctoral talents.Centering on high-potential fields including AI, New Energy and Advanced Manufacturing, we connect industrial cutting-edge R&D needs with out

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

The successful candidate will work closely with investment and technology professionals to translate advanced machine learning research into actionable trading signals, operating within a collaborative environment where scientific rigour and independent thinking are highly valued. Collaborate with r

As The Mark Foundation continues to expand its global research portfolio, we are seeking an accomplished scientist to join our team as a Scientific Director or Senior Scientific Director, depending on the candidate’s experience and qualifications, to help shape the future of cancer research and ex

Artificial Intelligence | Advanced Manufacturing | New Materials | Biotechnology & Pharmaceuticals | New Energy | Electric Vehicles | Data Science | Life Sciences | Environmental Science | Digital Economy | Strategic Technologies.

Noetive is a research lab building recursive self-improvement to develop intelligence for the physical economy.At Noetive, you'll push the frontier of what foundation models can do across language, vision, and world model development, designing and running experiments on pre and post-training, reas

Working directly with leading frontier AI organizations, the team develops novel evaluation frameworks, applied AI systems, and real-world data that help advance the capabilities of frontier models. Seed-stage frontier AI infrastructure company with offices in San Francisco and New York building the

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.

As a Senior AI Research Scientist, you will bridge cutting-edge AI research with production engineering to build intelligent systems that create measurable business impact. Rather than conducting research in isolation, you will be responsible for transforming advanced AI capabilities into scalable,

STEM Expert (MSc./PhD) (Remote | $60–$120/hr) Position: STEM Expert (MSc./PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity 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 STEM disciplines is not required. Key Responsibilities • Solve complex scientific, mathematical, and technical problems within your area of expertise., • Review AI-generated solutions for scientific, mathematical, and factual accuracy., • Identify incorrect assumptions, reasoning errors, and overlooked constraints., • Use Python or other programming languages for calculations, simulations, and validation., • Provide rigorous, technically accurate solutions and feedback. Required Qualifications • Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics., • Practical proficiency in Python or another programming language., • Strong scientific, mathematical, or quantitative problem-solving skills., • Experience using coding agents in technical workflows. Preferred Qualifications • Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries., • Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work. 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.

This opportunity is for experienced.AI research and evaluation project.You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through.You'll create research prompts, build supporting data rooms using real source-grounded i

Join occasional expert calls of 30 to 60 minutes with research teams who want to understand how experts approach a specific problem. 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 a

Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work.

Drug Discovery Scientist Position: Drug Discovery Scientist Type: Hourly Contract Compensation: $60–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Drug Discovery Scientists to contribute to an advanced AI research and evaluation project focused on pharmaceutical research and development. You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through incomplete, indirect, and potentially misleading scientific evidence. You'll create research prompts, build supporting data rooms using real source-grounded information, develop rigorous grading frameworks, and validate the resulting tasks. The role is ideal for experts who can distinguish genuine scientific reasoning from pattern matching and confidently evaluate the quality of complex research conclusions. Responsibilities • Design challenging, realistic drug discovery research problems based on authentic scientific workflows., • Develop research scenarios where the correct conclusion must be derived from multiple pieces of evidence rather than directly stated., • Build comprehensive data rooms using real, source-grounded scientific data and documentation., • Ensure every decisive scientific value and piece of evidence can be traced back to a reliable source., • Create detailed grading documents and evaluation rubrics that assess scientific reasoning and substantive conclusions., • Evaluate AI-generated research outputs for scientific accuracy, logical consistency, and defensibility., • Run verification and calibration processes to ensure tasks are reproducible, appropriately difficult, and objectively scorable., • Identify weaknesses in task design, evidence, or evaluation criteria and revise them accordingly., • Provide expert judgment on scientific questions, task difficulty, and the quality of AI reasoning., • Collaborate with project reviewers and other domain experts to refine research tasks. Required Qualifications • Professional expertise in one or more of the following areas:, • Mechanistic enzymology, • Structure-guided peptide design, • Structure-guided antibody design, • Fragment-based drug discovery, • Structure-based medicinal chemistry, • PhD or equivalent industry experience in drug discovery, medicinal chemistry, chemical biology, biochemistry, or a closely related field., • Strong understanding of drug discovery research methodologies and scientific evidence evaluation., • Ability to construct complex scientific problems with defensible conclusions., • Strong analytical and critical-thinking skills., • Ability to evaluate scientific reasoning quality, not simply final answers., • Strong scientific writing and documentation skills., • Comfortable working independently in a remote research environment., • Ability to commit at least 20 hours per week. Preferred Qualifications • Experience designing or evaluating drug discovery research strategies., • Strong background in structure-based drug design, protein–ligand interactions, enzymology, or molecular discovery., • Experience working with scientific literature, experimental datasets, structural data, and research documentation., • Experience developing research assessments, scientific benchmarks, or evaluation frameworks., • Familiarity with open-source scientific tooling and computational research workflows., • Experience evaluating AI-generated scientific research or technical outputs is a plus., • Strong ability to distinguish defensible scientific conclusions from unsupported assumptions or superficial reasoning. Compensation • Competitive compensation of $60–$90/hour., • Hourly contract engagement., • Fully remote., • Minimum commitment: 20 hours/week., • Up to 40 hours/week available., • Claude Max subscription required for the project and fully reimbursed., • Work conducted through a browser-based research studio and Claude Code. Application Process • Apply to the role, • Complete the required screening questions, • Provide details about your drug discovery and scientific research experience, • Complete the relevant scientific assessment, • Participate in the evaluation/interview stage, • Complete onboarding and tooling setup, • Begin designing and evaluating drug discovery research tasks

Contractor (Part-Time, approximately 15 hours/week).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 scien

You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through. Strong background in structure-based drug design, protein–ligand interactions, enzymology, or molecular discovery. Provide details about your drug discovery

What we are looking for Verasight is building the future of survey research with unparalleled data quality and a re-imagined respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect national policy, academic research, the direction of Fortune 500 companies, and important public conversations. We are looking for a Data Scientist to help us expand our capacity to field high quality surveys for our clients. This role will apply and expand Verasight’s code base to execute rigorous and replicable data collection, analysis, quality control, and reporting methods. We are a scrappy team and you will have an opportunity to help expand access to high quality survey data. We depend on colleagues who are diverse, team oriented, novel thinkers, and passionate about redefining the data landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc How to Apply Does this position sound like a good fit? 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) Responsibilities • Leverage Verasight’s data pipelines and processing procedures to own the data collection and quality process from end to end, including: building contact lists and sampling frames, monitoring survey fielding, cleaning and analyzing survey response data, writing methodology documentation, and preparing client deliverables, • Manage multiple simultaneous projects throughout all stages of the project life cycle, identifying potential roadblocks early and proactively proposing solutions, • Contribute, in collaboration with the Verasight team, innovative methods of automation and expand the data science team “toolbox” to suit a wide variety of data needs, • Conduct internal experimentation and research to hone Verasight’s approach to survey research, • Bring a creative and solutions-oriented mindset Required Qualifications • Experience coding in R, including writing custom functions, package development, REST API integration, and writing reusable and well documented code, • Enthusiasm for bringing AI tools (such as Claude Code) to survey research, • Knowledge of quantitative survey research methodologies, statistical concepts, and the ability to apply them to solve novel problems, • Innovative, independent mindset and a willingness to learn new technical and statistical skills when needed to tackle emerging challenges, • Strong communication skills to suit a highly-collaborative fast-paced remote work environment, • Experience managing multiple ongoing projects with competing deadlines, • Commitment to working in an inclusive environment Preferred Qualifications • Experience with commonly used survey software platforms, such as Qualtrics, • Familiarity with GitHub for collaborative code development, • Practical experience using voter file data (e.g., L2, Catalist, TargetSmart), • Knowledge of survey weighting practices, including population benchmark data (e.g., Census) and poststratification techniques (e.g., raking), • Experience writing SQL, • Familiarity with JavaScript, • 2+ years of survey or social science research experience Benefits • Competitive salary based on experience, • Health insurance, • 401k with company matching, • Opportunity to travel to represent Verasight at conferences, • 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.

Quest Diagnostics is hiring a Medical Laboratory Scientist II in Hackensack, NJ. This role is a hospital-based position at HUMC. Perform test procedures of moderate/high complexity requiring the exercise of independent judgement and responsibility in those specialties in which they are qualified by education, training and experience. Pay range: $32.00 - $50.73 / hour; employee may be eligible to receive shift differential of 10% for some or all hours worked on second shift and 15% for some or all hours worked on third shift. Additional details on shift differential will be provided if an offer is extended. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Successful candidates may be eligible to receive annual performance bonus compensation. We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include: • Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours, • Best-in-class well-being programs, • Annual, no-cost health assessment program Blueprint for Wellness, • healthyMINDS mental health program, • Vacation and Health/Flex Time, • 6 Holidays plus 1 "MyDay" off, • FinFit financial coaching and services, • 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service, • Employee stock purchase plan, • Life and disability insurance, plus buy-up option, • Flexible Spending Accounts, • Annual incentive plans, • Matching gifts program, • Education assistance through MyQuest for Education, • Career advancement opportunities, • and so much more!, • Must demonstrate proficiency in all areas of testing and be proficient troubleshooting all applicable instruments/procedures in the department., • Provides support to the department in the areas of quality control, troubleshooting complex problems, customer support, instrument and equipment maintenance, staff training, process improvement and the completion of special projects as assigned., • Perform and report on assigned analytical tests in accordance with applicable Standard Operating Procedures (SOP) ensuring that applicable quality control requirements are met., • Actively support and comply with laboratory policies and procedures for specimen handling and processing, test analysis, reporting and maintaining records of patient test results., • Adhere to analytical schedules to maintain turnaround time of results including STATS or critical results to clients., • Ensure reagents/test kits have received dates, expiration dates and if applicable opened dates., • Perform and document QC analysis to ensure accuracy of clinical data and proper instrument function. Make quality control decisions regarding the disposition of an assay or test., • Responsible for informing supervisory personnel of all problems associated with the proper performance of test procedures., • Report any actual or potential deviation from standard or accepted testing procedures and cooperate fully with any investigation of same., • Enter test results into the Laboratory Information System for standardized report to be generated for physician review and interpretation., • Maintain laboratory areas and equipment in a safe, functional and sanitary condition., • Complete training and competency checklists as appropriate., • May assist supervisor with training of other laboratory personnel., • Adheres to all established CLIA, HIPAA, OSHA and laboratory safety requirements., • Required to use (a) personal protective equipment, (b) engineering controls and/or (c) work practice controls as directed by management., • Answer questions from clients or other lab personnel, if applicable., • Participate in government or regulatory agency inspections, if needed., • May be required, in the absence of a Supervisor, to assume lead responsibilities if qualified and delegated., • Other duties as assigned. This is not an exhaustive list of all duties and responsibilities, but rather a general description of work performed by the position. Required Work Experience: One (1) year full-time experience or training (high complexity testing) in a clinical laboratory setting. Preferred Work Experience: Minimum of 3 years clinical experience with most current year in present department. Physical and Mental Requirements: • The normal performance of duties may require lifting and carrying objects: Objects 1 to 10 pounds are lifted and carried frequently; objects 11 to 25 pounds are lifted and carried occasionally; objects 36 to 50 pounds are seldom lifted or carried and objects over 50 pounds are not to be lifted or carried without assistance., • Ability to stand and work at the bench for long periods of time., • Frequent walking and/or standing., • May be required to use a wide variety of manual and automated pipettes and laboratory instruments and apparatuses all of which demand significant manual dexterity. Knowledge: • Comprehensive theoretical and operational job knowledge in designated specialty required., • Knowledge of organizational/departmental policies and procedures., • BS/BA in Medical Technology, Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493. 1433 published in March 14, 1990., • Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation). United States-educated candidates must provide a detailed original transcript., • Other state specific requirements may apply depending on BU's state testing certifications. Check with local HR or QA departments. Skills: • Proven leadership and problem-solving skills., • Must be detail-oriented, have the ability to work independently, establish work priorities and to handle several tasks simultaneously for maximum department efficiency., • Interpersonal skills necessary to deal courteously and effectively with supervisors, co-workers and clients., • Communication skills necessary to handle telephone inquiries from clients., • Ability to deal with client information in a confidential manner., • Proficiency in Microsoft Office (Word, Excel and Outlook) and Laboratory Information Systems. Education • Associates Degree Laboratory Science or Medical Technology (Preferred), • Bachelor's Degree BS in Medical Technology, Biology or Chemistry (Preferred) Licenses and Certifications • ASCP Certification (Preferred) MLS, Medical Laboratory Scientist, Medical Lab Scientist, Med Tech, Medical Technologist, CLS, Clinical Lab Scientist Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status. • Job Identification 62642, • Job Category Laboratory Operations, • Posting Date 06/30/2026, 07:25 PM, • Job Schedule Full time, • Job Shift Evening, • Locations 30 Prospect Ave, Hackensack, NJ, 07601, US, • Workplace On-site daily, • Regular or Temporary Regular

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