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biological data analysisscientific reading comprehensionassessment and question creationwritten and verbal communicationremote team collaborationmicro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings. Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity. Job Title: Biology Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Analyze, review, and interpret complex biological documents, research papers, and data sets to create high-quality assessment content., • Formulate and vet biology-related questions focused on data retrieval, computation, and critical analysis., • Deliver clear explanations and detailed feedback to enhance AI model understanding., • Collaborate with a remote, interdisciplinary team to ensure ongoing content accuracy and quality., • Contribute domain-specific expertise to support the continuous improvement of AI systems., • Work independently to meet deadlines and achieve high productivity with minimal supervision., • Uphold rigorous standards for written and verbal communication in English. Required Skills and Qualifications: • Minimum 2 years of professional experience in biology, either in academia, laboratory settings, or relevant industry roles., • Demonstrated ability to analyze and synthesize complex biological information from diverse sources., • Strong written and verbal English communication, with an emphasis on clarity and detail., • Excellent reading comprehension, particularly in interpreting research and technical documents., • Experience creating or reviewing problem sets, assessments, or scientific analyses., • Ability to work autonomously and efficiently in a remote environment., • High attention to detail and commitment to quality. Preferred Qualifications: • Advanced degree (Master’s or PhD) in Biology or closely related field., • Experience collaborating with multidisciplinary teams or involvement in cross-functional projects., • Familiarity with computational biology or data analysis tools.

Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios. Apply advanced subject matter knowledge to evaluate and solve complex engineering problems. Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology.

Job DescriptionJob Title: AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most. Key Responsibilities Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance. Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making. Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria. Author and review investment memos, due diligence reports, research summaries, and technical documentation. Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards. Conduct independent research and fact-checking to validate financial information. Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills Critical Thinking Analytical Reasoning Quality Assurance Prompt Engineering AI Output Evaluation Financial Analysis Technical & Report Writing Business Communication Content Review & Editing Fact Checking Data Interpretation Data Annotation Problem-Solving Independent Research Attention to Detail Preferred Qualifications Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance. Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research. Strong analytical, critical thinking, and problem-solving skills. Excellent written communication and professional editing abilities. Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus. Master's, MBA, JD, PhD, or another advanced degree is preferred. Commitment to producing high-quality, accurate, and well-documented work.

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job Description SUMMARY: The Principal Scientist (Vector) – Manufacturing Sciences and Technology will be responsible for designing, leading, executing and overseeing internal and external studies and teams to support product and process optimization and automation, aseptic process validation and requalification campaigns, technology transfer activities, BLA supporting process and product characterization studies, BLA authoring, investigation into deviations and root cause analysis, change management and any activities required by the MS&T organization. This position bridges deep viral-vector knowledge with external manufacturing management and internal DS/DP manufacturing ensuring outsourced vector production (LVV) meets yield, quality, and regulatory requirements. DUTIES AND RESPONSIBILITIES: The following reflects management’s definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign or reassign duties and responsibilities to this job at any time due to reasonable accommodation or other reasons. • Provide technical leadership and support for technology transfer, process optimization, and technology evaluation to support development and commercialization of new and existing products., • Develop, qualify, and execute phase-appropriate studies for the characterization and development of multiple pipeline products, • Leads process lifecycle management for both commercial and approaching BLA CGT programs., • Collaborate with Quality Assurance, Regulatory Affairs, Analytical Sciences, Supply Chain, and Facilities to align strategic priorities and project timelines., • Utilize statistical process control tools to monitor manufacturing metrics, prepare continued process verification reports, and ensure inspection readiness., • Mentor junior scientist and foster a culture of collaboration and technical excellence. May manage a small to mid-sized team, • Represent Manufacturing Sciences and Technology team in cross-functional technical meetings., • Aseptic process lead and oversight: coordinate across multi disciplines, including QA, QC Micro, Manufacturing, MS&T, Regulatory, Engineering, for aseptic process validation activities, ensuring timely execution and audit readiness., • Provide aseptic process technical expertise and guidance for risk assessments, validation documentation., • Act as SME for sterility assurance topics, supporting investigation and leading continuous improvement to improve the aseptic simulation program., • Facilitate product transfers by aligning aseptic validation approaches., • Review and approve change controls, ensuring validation impact assessments, and appropriate testing to maintain validated states., • Support the execution of improvement projects, liaising with all the relevant parties to ensure accurate execution., • Support with any internal or external audit. Lifecycle management: • Lentiviral process subject matter expert (SME) for deviations, root cause investigations, root-cause analyses, and CAPAs related to LVV vector production., • Manage lentiviral vector manufacturing process lifecycle governance., • Evaluate lentiviral manufacturing process changes, shipping validation parameters, deviations, and out-of-trend events., • Interface with contract development and manufacturing organizations for external lentivirus production., • Author, review, and defend lentiviral vector process QUALIFICATIONS: Required: • B.S., M.S. or Ph.D. in cell and/or molecular biology, engineering, or relevant discipline with a minimum of 4 years (PhD), 8 years (M.S.) or 10 years (B.S.) of industry experience., • Proven understanding of aseptic techniques, FDA/EU regulatory requirements and guidelines for validation., • Knowledge and experience in developing manufacturing processes with understanding of regulatory constraints relating to cGMP, Annex 1, and ATMP guidance., • Experience in working in cross-functional environments, and with internal/external partners to perform process transfer for cGMP production., • Proficiency in project management and resource planning • Strong understanding of adeno-associated virus (AAV), or lentivirus vector (LVV) production is required Desirable: • Experience managing or providing oversight of CROs/CMOs, • Experience with regulatory submissions (IND, BLA, MAA) for advanced therapies., • Proficiency in Quality by Design (QbD) principles and statistical data analysis. The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PHYSICAL DEMANDS: • Frequently required to stand, • Frequently required to walk., • Frequently required to sit., • Frequently required to talk or hear., • Occasionally required to lift light weights (less than 25 pounds), • Specific vision abilities required for this job include: close vision, color vision and ability to adjust or focus

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities • Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models., • Create high-quality data by developing difficult problems in your domain to inform the future of AI innovation., • Collaborate with AI research teams to enhance model reasoning and outputs., • Work independently and asynchronously to meet deadlines and improve AI model performance., • Provide structured feedback to elevate training data quality and downstream performance. Qualifications Must-Have • PhD or advanced degree (or equivalent industry experience) in Medicine / Healthcare, Statistics and Data Science, AI / ML Research, Computer Science, Game Development, or Mechanical / Aerospace Engineering., • High attention to detail., • Exceptional written and verbal communication skills. Start Date • Applications reviewed on a rolling basis. Interview Process • Complete a short interview and task (20–30 mins)., • Paid for up to 1 hour of onboarding time including this and onboarding videos if hired. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job DescriptionMaterials Science Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Materials Science Expert to support an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. You'll solve, validate, and review materials-engineering tasks and create reproducible, programmatic solutions. No prior AI experience is required. Key Responsibilities • Solve and validate computational materials science problems., • Build material structures, compositions, and simulation inputs., • Run and analyze atomistic, electronic, molecular-dynamics, continuum, or electrochemical simulations., • Use Python to automate simulations, parameter sweeps, and data analysis., • Analyze mechanical, thermal, electrical, chemical, and structural properties., • Diagnose convergence, numerical, modeling, and physical-assumption issues., • Compare results with experiments, literature, and expected physical trends., • Review AI-generated solutions and develop reliable reference solutions.Required Skills, • Materials Science & Engineering, • Computational Materials Modeling, • Materials Simulation & Analysis, • Python, • Scientific Computing, • Structure–Property Relationships, • Numerical Validation & Troubleshooting, • Technical Problem-SolvingTools Experience with tools such as LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or equivalent CLI/API-based software. Familiarity with NumPy, SciPy, pandas, Matplotlib, or Jupyter is beneficial. Qualifications • MS/PhD in Materials Science, Metallurgy, or related field; or Mechanical/Chemical Engineering with strong materials specialization., • Experience in computational materials modeling, simulation, characterization, or materials R&D., • Strong Python and programmatic engineering-tool experience., • Ability to explain modeling assumptions, validate results, and distinguish computational errors from physical behavior.

Job DescriptionDescription: We're a robotics company building autonomous systems that operate in complex, dynamic environments. We're hiring a Manipulation Engineer to design, implement, and deploy manipulation algorithms for arms mounted on dynamic legged robots operating in the real world. You'll build task and motion planning, grasping, and control pipelines in real-time software, and own their performance all the way down to hardware. This role suits engineers who thrive on high-velocity problem solving, deep technical ownership, and hands-on testing and validation. How leveling works This is one role, open at the Senior, Staff, or Lead level. The responsibilities below reflect the core of the role at every level. You don't need to decide which level fits you before applying. The selected candidate will be placed at the level commensurate with the skills, scope, and experience they demonstrate through the interview process, and the offer will align with that level. Senior and Staff are individual-contributor positions. Lead carries the same technical scope plus people-leadership responsibilities, for candidates who want them. What you'll do (all levels) • Architect end-to-end manipulation frameworks, from high-level task planning down to perception and low-level joint control, • Develop trajectory planning, obstacle avoidance, and real-time motion generation, • Implement grasping strategies using proprioception and vision, for rigid and deformable objects, • Use physics-based simulators to develop and validate manipulation policies with high-fidelity transfer to hardware, • Write clean, maintainable C++ and Python, and debug system performance across simulation, hardware experiments, and fleet data, • Collaborate with mechanical, perception, embedded, and systems teams to ensure end-to-end performance and robustness, • Contribute to long-term architectural decisions Senior Manipulation Engineer • Typically reached with 5+ years of relevant experience, or 3+ years following a PhD, • Owns a defined technical area of the manipulation stack and delivers independently end to end, • Mentors less-experienced engineers, • Track record of shipping manipulation software to real hardware Staff Manipulation Engineer • Typically reached with 8+ years of relevant experience, • Drives technical direction and architecture across the team's area, • Sets engineering standards and multiplies the output of others, • Demonstrated influence beyond their own deliverables, across teams or an entire manipulation stack Lead Manipulation Engineer • Typically reached with 10+ years of relevant experience, including experience guiding engineers, • Staff-level technical scope plus people-leadership responsibilities: direct reports, hiring, performance, and team planning, • Demonstrated ability to grow engineers and run a healthy, productive teamRequirements: Core qualifications (all levels) • A strong background in robotic manipulation, with hands-on experience on multi-DOF arms in real systems. We weigh what you've built and shipped over where your degree is from. An advanced degree in Robotics, Mechanical, Electrical, Aerospace Engineering, CS, or a related field is one path in. Equivalent industry experience is another., • Strong foundations in motion planning, control theory, optimization, and dynamical systems, • Deep understanding of coordinate transformations, forward/inverse kinematics, Jacobians, and robot dynamics, • Experience with motion planning tools (e.g., MoveIt, OMPL, or custom optimization-based planners), • Experience with multi-body dynamics, modeling, and simulation (e.g., MuJoCo, Gazebo, Isaac, Bullet/PyBullet), • Experience with ROS 2 and real-time middleware, • Proficiency in modern C++ (C++17/20) and Python, • Experience with Unix/Linux environments and software engineering best practices (version control, CI/CD), • Master’s or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a related field., • 3+ years of hands-on experience in robotic manipulation, specifically with multi-DOF (Degree of Freedom) arms., • Strong foundations in motion planning, control theory and optimization, along with experience in dynamical systems., • Deep understanding of coordinate transformations, forward/inverse kinematics, Jacobians, and robot dynamics., • Experience with motion planning software tools (e.g., MoveIt, OMPL, or custom optimization-based planners)., • Experience with multi-body dynamics, modeling, and simulation (e.g., MuJoCo, Gazebo, Isaac, Bullet/PyBullet)., • Experience with ROS 2 and real-time middleware., • Proficiency in modern C++ (C++17/20) and Python for development and tooling., • Experience with Unix/Linux environments and software engineering best practices (version control, CI/CD). Preferred qualifications • Experience with legged or humanoid robots, • Experience applying Reinforcement Learning, Vision Language Models, or Vision-Language-Action models to robotic decision-making and task planning, • Familiarity with 3D perception, point cloud processing, and vision-based feedback in manipulation loops, • Background in whole-body control frameworks (operational space control, MPC, and similar), • Experience with force-feedback control or hand-eye calibration, • Publications or significant open-source contributions in robotics or machine learning, • Demonstrated ability to lead technical efforts and mentor engineers What we offer • Work with state-of-the-art robots in challenging real-world environments, • Hands-on hardware experience alongside strong software and simulation infrastructure, • A collaborative, technically rigorous culture with emphasis on learning and ownership, • Access to real robots, real data, and real impact, • The anticipated starting base salary for this position is $140,000 to $185,000 per year, placed by level as described above Location Philadelphia, PA (no remote candidates considered at this time). Opportunities to work from home with prior approval. Travel No travel required. Compensation Competitive base, full benefits and highly motivating equity incentive package. Flexible time-off policy. Focus on output and ability to work with a stellar team of interdisciplinary functions. Background Check Clear standard background checks, pre-hire, post hire and anytime during employment as required. Residency Requirements Permanent Residency Required. Physical Requirements • Prolonged periods of standing, sitting at a desk and working on a computer., • Must be able to lift 10 pounds. Assistive equipment available

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Molecular Biology Experts - US Type: Contract Compensation: $70–$105/hour Location: Remote Role Responsibilities • Collaborate with research and engineering teams to identify and address gaps in AI model molecular biology reasoning., • Design challenging, domain-specific tasks and document solutions, including primers for PCR, qPCR, plasmids, expression vectors, and CRISPR editing constructs., • Review molecular biology tasks and model outputs against expert-quality solutions, providing clear feedback on correctness and biological reasoning., • Develop guidelines and rubrics for sequence design quality, focusing on primer melting temperature, specificity, and codon optimization., • Work with other subject matter experts to ensure training data consistency and accuracy. Qualifications Must-Have • PhD strongly preferred in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or related life science field., • Experience designing nucleic acid constructs, including primers, plasmids, vectors, gRNA, sgRNA, mRNA, and HDR templates., • Strong peer-reviewed publication record, especially first-author work in journals like Nature, Cell, and PNAS., • Ability to commit to at least 20 hours/week on weekdays., • Strong written communication skills. Preferred • Previous experience in AI training, model evaluation, or data annotation. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job DescriptionDescription: About Century Therapeutics: Century Therapeutics (NASDAQ: IPSC) is a biotechnology company advancing a pipeline of induced pluripotent stem cell (iPSC)-derived cell therapies with the potential to meaningfully address autoimmune diseases, including type 1 diabetes, and cancer. The company’s therapies are derived from its iPSC cell foundry and leverage its novel immune evasion engineering technology, Allo-Evasion™. Century believes its approach to developing off-the-shelf cell therapies will expand patient access and provide advantages over existing cell therapies which will ultimately advance the course of care. Role: Century Therapeutics is seeking an Engineer who is self-motivated, innovative, and results-oriented to develop, characterize, implement, and support Century’s next generation of induced pluripotent stem cell (iPSC)-derived cell therapies. The successful candidate will be expected to culture, differentiate, and characterize induced pluripotent stem cells (iPSCs) and their effector cell derivatives, design and perform process/product development studies, and analyze, interpret, and trend data. This role requires extensive collaboration with internal and external teams. The successful candidate will need strong scientific background, interpersonal skills, organizational skills, effective communication skills, and the ability to work collaboratively with other groups across organizations. The work expectation for this role is 5 days per-week on-site. The expected annual salary range for this role is approximately $130,000 - $150,000 depending on experience. Additional benefits offered include but are not limited to an annual performance-based bonus (prorated by start date), medical, dental, and vision insurance, matching 401K plan, and 20+ days per-year of PTO (prorated by start date). Additionally, employees not requiring sponsorship are preferred. Requirements: Candidate responsibilities will include, but are not limited to: • Execute high-quality cell culture and differentiation experiments, ensuring accuracy, reproducibility, and adherence to established protocols., • Design and execute bioreactor studies to understand the impact of process parameters such as agitation, mixing, aeration, feeding strategy, media composition, cell/aggregate density, and vessel scale on cell growth, differentiation, yield, and product quality., • Perform and analyze flow cytometry assays, interpret and present data to guide ongoing research and development efforts., • Analyze process and product data to identify relationships between critical process parameters, cell attributes, and differentiation outcomes and use these insights to drive process improvements., • Collaborate cross-functionally with Drug Product Development, Analytical Development, Manufacturing/MSAT, Quality, and other teams to support process integration, technology transfer, and clinical manufacturing readiness., • Maintain detailed and organized electronic laboratory notebooks (ELNs), documenting procedures, observations, data analysis, and conclusions in compliance with internal quality standards., • Stay current with emerging literature and technologies related to iPSC biology, beta-cell/islet differentiation, bioreactor processing, cell therapy manufacturing, and process scale-up., • Author and review CMC documents for regulatory filings (e.g. IND, BLA) in collaboration with other parts of organization., • Foster a collaborative and scientifically rigorous team culture. Qualifications: • BS, MS, or PhD degree in a relevant biological, technical, or cell engineering field with the following relevant professional experience: PhD: 0-2 years, MS: 8-10 years, BS: 10-12 years Requirements: • Demonstrated hands-on experience with mammalian cell culture and bioreactor-based processing, including operation, experimental design, process monitoring, data analysis, and troubleshooting., • Experience with media/feed optimization and design of experiments to improve cell growth, differentiation, yield, and process robustness., • Strong understanding of cell biology and physiology; experience with iPSCs, stem-cell differentiation, pancreatic/beta-cell biology, or other complex differentiation processes is highly desirable., • Understanding of bioprocess characterization, technology transfer, process validation concepts, cGMP, and GLP., • Experience supporting translation of development processes into GMP manufacturing environments is desirable., • Excellent written and verbal communication skills, with demonstrated ability to communicate technical findings and recommendations to multidisciplinary teams., • Strong attention to detail, scientific rigor, critical thinking, and ability to prioritize and execute across multiple activities in a fast-paced environment. Century Therapeutics is not accepting unsolicited resumes from search or staffing firms. All resumes submitted by search or staffing firms to any employee at Century Therapeutics via email, the internet, or directly without a valid written search agreement for this role, and without having been asked to participate in this by Talent Acquisition, will be deemed the sole property of Century Therapeutics, and no fee will be paid in the vent the candidate is hired. Firms not authorized to submit candidates will not be eligible for any fee or ownership claim. Century Therapeutics Inc. is an Equal Employment Opportunity/Affirmative Action Employer - Minority/Female/Disability/Veteran. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status or any other characteristic protected by federal, state, or local law.

Job DescriptionAerodynamics Expert Role Type: Contractor Location: Global, Remote Schedule: ~15 hrs/week, Flexible Pay: $80–$130/hour micro1 is seeking Aerodynamics Experts to support an AI training project involving CFD, aerodynamic analysis, engineering simulations, and Python. No prior AI experience is required. Key Responsibilities • Solve and validate aerodynamic and fluid-dynamics problems., • Develop computational models, geometries, meshes, and solver configurations., • Run and automate CFD workflows using Python and CLI-based tools., • Analyze lift, drag, pressure, velocity, and other simulation results., • Diagnose mesh, convergence, stability, turbulence, and boundary-condition issues., • Perform validation, sanity checks, and mesh-independence studies., • Review AI-generated engineering solutions for technical accuracy.Required Skills, • Aerodynamics, • Fluid Mechanics & CFD, • Python, • Computational Modeling & Simulation, • Mesh & Solver Configuration, • Numerical Validation & Troubleshooting, • Technical Problem-SolvingQualifications, • MS/PhD in Aerospace/Mechanical Engineering, or BS + 1–2 years of relevant aerodynamics experience., • Strong aerodynamics and CFD knowledge with practical Python experience., • Experience with CLI/programmatic tools such as OpenFOAM, SU2, Gmsh, FEniCSx, SciPy, or equivalent., • Ability to clearly communicate technical reasoning and engineering trade-offs.

Job DescriptionDescription: About the role We're a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack lets our robots understand, localize, and navigate the world in real time, and we care as much about robust, maintainable engineering as we do about raw algorithm performance. We're hiring a Perception Engineer to design and build the SLAM, state estimation, and computer vision our robots rely on in the field. You'll take perception algorithms from research to reliable, production-ready software, working alongside our robotics, controls, and systems engineers. This role is ideal for someone who enjoys bridging the gap between theory and deployment, turning academic algorithms into efficient, well-engineered systems. How leveling works This is one role, open at the Senior, Staff, or Lead level. The responsibilities below reflect the core of the role at every level. You don't need to decide which level fits you before applying. The selected candidate will be placed at the level commensurate with the skills, scope, and experience they demonstrate through the interview process, and the offer will align with that level. Senior and Staff are individual-contributor positions. Lead carries the same technical scope plus people-leadership responsibilities, for candidates who want them. What you'll do (all levels) • Design and implement SLAM and localization systems (visual, visual-inertial, lidar, or multi-sensor), • Develop and integrate computer vision pipelines for feature extraction, tracking, mapping, and scene understanding, • Implement and optimize estimation algorithms (filtering and optimization-based methods), • Fuse data from cameras, IMUs, lidars, and depth sensors, • Evaluate perception performance using real-world data and metrics, • Optimize algorithms for real-time performance and robustness, • Collaborate with controls and planning teams to support downstream autonomy, • Maintain clean, well-tested, production-quality code, • Contribute to tooling, datasets, and evaluation frameworks Senior Perception Engineer • Owns a defined technical area of the perception stack and delivers independently end to end, • Mentors less-experienced engineers, • Track record of shipping perception software to real systems Staff Perception Engineer • Drives technical direction and architecture across the team's area, • Sets engineering standards and multiplies the output of others, • Demonstrated influence beyond their own deliverables, across teams or an entire perception stack Lead Perception Engineer • Staff-level technical scope plus people-leadership responsibilities: direct reports, hiring, performance, and team planning, • Demonstrated ability to grow engineers and run a healthy, productive team Requirements: Required qualifications (all levels) • Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field, plus 2+ years of relevant work experience; OR a PhD in a related field., • A strong background in robotics perception or computer vision, with hands-on experience implementing SLAM or localization in real systems. We weigh what you've built and shipped over where your degree is from. An advanced degree in Robotics, CS, EE, or a related field is one path in. Equivalent industry experience is another, and just as welcome., • Solid understanding of 3D geometry and coordinate transformations, camera models and calibration, feature-based and/or direct visual methods, and probabilistic state estimation, • Proficiency in C++ and/or Python, • Experience working in Linux environments, • Familiarity with robotics software stacks such as ROS / ROS 2, • Strong debugging and data analysis skills Preferred qualifications • Experience with SLAM frameworks such as ORB-SLAM, VINS, Cartographer, or GTSAM, • Lidar-based perception and mapping, • Familiarity with deep learning perception models, • Experience deploying perception systems on real robots, • GPU acceleration (CUDA, OpenCL), • Dataset curation and annotation, • A graduate degree, or publications and research in robotics or computer vision What we offer • Work on cutting-edge robotics perception problems with real-world constraints, • The opportunity to own and evolve core autonomy components, • A collaborative, engineering-driven team culture, • Access to real robots, real data, and real impact, • The anticipated starting base salary for this position is $140,000 to $185,000 per year, placed by level as described above Location Philadelphia, PA. This is a full-time, on-site role. No remote candidates will be considered at this time. Travel None required, though domestic and international opportunities exist for engineers who want field exposure. Compensation Competitive base salary, full benefits, and a highly motivating equity incentive package. Flexible time off policy. We focus on output, impact, and the ability to work alongside a stellar interdisciplinary team. Additional Information Clear standard background checks are required pre-hire, post-hire, and at any time during employment. Permanent U.S. residency is required.

Job DescriptionMechanical Engineering Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Mechanical Engineering Expert to support an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. You'll solve, validate, and review structural, thermal, mechanical, and multiphysics engineering tasks. No prior AI experience is required. Key Responsibilities • Solve and validate mechanical engineering problems involving design, analysis, simulation, and testing., • Translate engineering requirements into analytical and computational models., • Create and modify geometry, meshes, materials, loads, constraints, and solver inputs., • Perform structural, thermal, dynamic, fatigue, buckling, and vibration analyses., • Use Python to automate simulations, parameter sweeps, optimization, and post-processing., • Analyze stress, strain, displacement, temperature, deformation, frequency response, and safety factors., • Diagnose geometry, mesh, convergence, boundary-condition, and modeling issues., • Compare simulation results with calculations, experiments, and expected physical behavior., • Review AI-generated engineering solutions and develop reproducible reference solutions.Required Skills, • Mechanical Engineering & Applied Mechanics, • Engineering Design & Analysis, • Structural & Thermal Analysis, • Computational Modeling & Simulation, • Python, • CAD, Meshing & Simulation, • Numerical Validation & Troubleshooting, • Technical Problem-SolvingTools Experience with CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or equivalent CLI/programmatic engineering tools. Python tools such as NumPy, SciPy, SymPy, pandas, Matplotlib, and Jupyter are beneficial. Qualifications • MS/PhD in Mechanical Engineering or related discipline, or BS in Mechanical Engineering with 1–2+ years of relevant professional experience., • Strong mechanical-engineering fundamentals and simulation experience., • Practical Python and programmatic engineering-tool experience., • Ability to select and justify materials, loads, boundary conditions, assumptions, and model fidelity., • Ability to validate results and clearly explain engineering decisions and trade-offs.Process Application ~30-minute AI interview Technical assessment (if required) Hiring manager review.

Job DescriptionJob Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives., • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation., • Develop, refine, and evaluate prompts for AI models., • Conduct quality assurance and rubric-based evaluations of AI-generated outputs., • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content., • Provide actionable feedback and recommendations to improve AI model performance., • Collaborate remotely with project teams to support continuous AI improvement.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical & Report Writing, • Business Communication, • Content Review & Editing, • Data Interpretation, • Data Annotation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations., • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations., • Strong professional writing, business communication, and technical editing skills., • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities., • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus., • Candidates with strong academic or professional achievements are encouraged to apply

Job DescriptionJob Title: AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most. Key Responsibilities • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity., • Create, refine, and evaluate prompts to improve AI-generated technical outputs., • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback., • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals., • Perform independent research and fact-checking to validate technical information., • Interpret and annotate technical data to support AI model training and evaluation., • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.Required Skills, • Critical Thinking, • Analytical Reasoning, • Quality Assurance, • Prompt Engineering, • AI Output Evaluation, • Technical Documentation, • Technical & Professional Writing, • Content Review & Editing, • Data Annotation, • Fact Checking, • Independent Research, • Business Communication, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role., • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews., • Strong critical thinking, analytical reasoning, and structured problem-solving skills., • Excellent written communication and technical editing abilities., • Experience with AI coding tools or automated documentation tools is a plus but not required., • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.

Job Description Pay Range: $85.00hr - $90.00hr Job Overview: The Senior FPGA Engineer will be part of the key design team, responsible for the delivery of FPGAs for defense applications. The candidate will architect and implement FPGA designs, with hands-on design and debugging primarily using Ethernet, I2C, SPI, and AXI protocols. The organization utilizes state-of-the-art EDA flows and methodologies including Mentor EDA (Simulator Questa Prime, Verification IP, UVM framework, Clock Domain Crossing, Reset Domain Crossing, Questa Lint), Client (DC/Primetime/Synplify), and Xilinx/Client/Microchip EDA (Vivado/Libero/Quartus). This is a high-impact role within the organization to ensure robust quality and delivery of communication products for National Security. Work Environment: The work environment is mainly computer and office based. Responsibilities: • Derive FPGA design specifications from system requirements., • Develop detailed FPGA architecture for implementation., • Implement design in RTL (VHDL) and perform module level simulations., • Perform Synthesis, Place and Route (PAR) and Static Timing Analysis (STA)., • Perform RTL quality using: Lint, Reset Domain Crossing (RDC), Clock Domain Crossing (CDC), and Static Formal EDA., • Generate verification test plans and perform End to End Simulations., • Support Board and FPGA bring up., • Validate design through HW/SW integration test with test equipment., • Support product collateral for NSA certification. Qualifications: • Bachelor of Science (BS), Masters (MS), or PhD from an accredited course of study in engineering, engineering technology (chemistry, physics, mathematics, data science, or Electrical/Electronics/Computer Engineering/Computer Science)., • 5-7+ years of experience designing FPGA products with VHDL., • Experience with Xilinx FPGAs and Vivado., • Experience with Revision control systems., • Experience with Earned Value Management (EVM)., • Strong verbal, written, and presentation skills., • Active DoD Security Clearance. Preferred Additional Skills: • Experience with mapping algorithms to architecture., • Experience in C++ (OOP)., • Experience with protocols such as Ethernet, TCP/IP, PCIe, NVMe, or USB., • Experience with Xilinx SoC design with SDKs and PetaLinux OS., • Experience with High-Level Synthesis (HLS) with Vivado HLX or Mentor Catapult. Due to nature of job The candidate must have Ability to sit or stand for extended periods of time. Benefits: Our Benefits Include: • Medical, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Health Savings Account (HSA), • Disability Insurance (Short-Term and Long-Term), • Life and AD&D Insurance, • Paid Sick Leave (where required by applicable state or local law), • Supplemental Insurance Plans, • Identity Theft Protection, • Pet Insurance, • Employee Wellness Programs, • Employee Assistance Program (EAP), • Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job DescriptionCircuit Design Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Circuit Design Expert to support an AI training project involving electronic hardware, circuit design, simulation, verification, EDA workflows, and Python. You'll design, analyze, validate, and review real-world circuit solutions. No prior AI experience is required. Key Responsibilities • Design and analyze analog, digital, power, mixed-signal, or RF circuits., • Translate requirements into schematics, netlists, HDL, models, and simulation inputs., • Run simulation, synthesis, and verification workflows using CLI/programmatic tools., • Use Python to automate simulations, parameter sweeps, and result analysis., • Evaluate voltage, current, power, gain, bandwidth, noise, timing, stability, and related outputs., • Diagnose component, parasitic, layout, signal/power integrity, thermal, and manufacturing issues., • Compare simulations with analytical calculations and hardware measurements., • Review AI-generated circuit solutions and create reproducible reference solutions.Required Skills, • Circuit Design & Analysis, • Analog/Digital/Mixed-Signal/RF Design, • Circuit Simulation & Verification, • EDA & CLI-Based Workflows, • Python, • Hardware Debugging & Validation, • Signal & Power Integrity, • Technical Problem-SolvingTools Experience with ngspice, Xyce, Yosys, Verilator, KiCad, SPICE simulators, HDL tools, or equivalent programmatic EDA software. Python tools such as PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, or similar are beneficial. Qualifications • MS/PhD in Electrical Engineering or related field, or BS in Electrical Engineering with 1–2+ years of professional circuit-design experience., • Proven experience designing circuits that were fabricated, integrated, shipped, or taped out., • Strong Python and programmatic EDA/tool experience., • Experience with hardware bring-up, laboratory validation, design verification, or post-fabrication debugging., • Ability to explain circuit behavior, assumptions, and design trade-offs clearly.Process Application ~30-minute AI interview Technical assessment (if required) Hiring manager review. Compensation & Start Output-based compensation is paid per approved task. Selected experts are expected to start their first task within 24–48 hours of onboarding.

Job DescriptionJob Title: Technical Problem Author – Engineering Role Type: Contractor Location: Remote Job Overview We are seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project focused on advancing next-generation AI systems in engineering. In this role, you will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance. Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate technically sound solutions. No prior AI experience is required—your domain expertise and technical judgment are what matter most. Scope of Work • Author and evaluate advanced technical problems across areas such as Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design, and related disciplines., • Review AI-generated technical responses for correctness, engineering accuracy, completeness, and practical relevance., • Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts., • Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions., • Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment., • Provide structured written feedback and clear explanations to improve AI-generated technical reasoning., • Collaborate remotely with technical experts and project participants to maintain high-quality deliverables., • Document technical insights, identified weaknesses, and recommendations to support continuous improvement of AI models and problem sets.Required Skills, • Mechanical Engineering, • Aerodynamics, • AutoCAD, • Technical Problem Authoring, • Engineering Analysis, • Technical Documentation, • Analytical Reasoning, • Technical Review & Validation, • Written and Verbal CommunicationPreferred Qualifications, • Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial professional industry experience., • At least 5 years of hands-on technical experience in a relevant engineering field; deeper experience is preferred for Aerodynamics, Circuit Design, and Mechanical Engineering roles., • Demonstrated experience creating technically rigorous problems, such as through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs., • Experience with technical publications, patents, industry awards, competition results, committee participation, or other evidence of recognized technical expertise., • Professional-level English proficiency with excellent written and verbal communication skills., • Familiarity with industry-standard engineering tools such as AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment relevant to your specialty., • Ability to work independently and remotely while consistently delivering high-quality technical content within project timelines.Compensation Structure Compensation is output-based, with experts paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on the expert's experience and workflow. Minimum submission requirements apply, and selected experts are expected to complete a minimum number of tasks per week. Start Timeline & Availability Roles are typically filled within 48 hours. Selected experts should be prepared to begin their first assignments within 24–48 hours of completing onboarding. If you are an experienced engineer with strong technical judgment and a passion for creating rigorous engineering problems, this is an opportunity to apply your expertise to the development of advanced AI systems.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Relationship Manager III within PNC's Business Credit organization, you will be based in Philadelphia, PA or Baltimore, MD. As part of PNC's Asset Based Lending (ABL) team, this role manages a portfolio of commercial lending relationships and serves as a key client-facing representative throughout the credit process. The Relationship Manager is responsible for delivering a high level of service, coordinating amendments and renewals, and applying strong financial and credit analysis skills to support sound credit decisions and ongoing portfolio performance. Credit training or prior credit experience is highly valued. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. The Relationship Manager is responsible for: • Setting relationship strategies and directing relationship management activities with existing clients to ensure client retention, risk management and revenue growth., • Independently handling the origination, negotiation and documentation of credit and non-credit products and services with high levels of complexity., • Expanding and retaining client relationships to generate revenue and deepen share of wallet., • Leveraging an established and effective network of internal and external relationships to enhance the client experience., • With oversight as applicable, negotiating workout options with customers to reduce risks and losses. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions., • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills: Book Of Business, Client Relationship Building, Credit Processes, Credit Products, Customer Engagement, Decision Making, Financial Analysis, Identifying Sales Opportunities Competencies: Accuracy and Attention to Detail, Business Acumen, Collateral Management, Credit Analysis and Verification, Customer Experience Management, Effective Communications, Financial Engineering, Regulatory Environment - Financial Services Work Experience: Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education: Bachelors Certifications: No Required Certification(s) Licenses: No Required License(s) Language Assessments: No Required or Preferred Language Assessments Base Salary: $146,300.00 $271,700.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Generally, this opening is expected to be posted for two business days from 09/22/2026, although it may be longer with business discretion. PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com. If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

The laboratory of Dr. Murad Mamedov at The Wistar Institute is recruiting a Postdoctoral Fellow. The Mamedov Lab uses CRISPR screens and functional genomics to understand how the human immune system detects and kills cancer cells. We focus on understanding how human γδ T cells sense cellular stress in tumors, with the goal of developing novel and broadly accessible immunotherapies. We are seeking a highly motivated Postdoctoral Fellow to lead high-impact projects focused on T cell receptor (TCR) tumor ligand discovery, CRISPR screening and engineering of human γδ T cells, and T cell detection of stress-remodeled cancer cells. This work will build on and significantly expand beyond our published work on human γδ T cell recognition and killing of cancer cells (Nature, PMID: 37648854). The successful candidate will have expertise in one or more of the following: T cell biology, cancer immunology, in vitro cancer models, genomics, or gene editing. Candidates should be nearing completion of or already have a PhD in a relevant field (immunology, cancer biology, genetics, cell biology, and so on). Candidates should also have at least one first-author peer-reviewed publication. In addition to the online application, interested individuals should submit the following as a single PDF to Dr. Murad Mamedov (mmamedov@wistar.org): (1) CV; (2) one-page cover letter detailing scientific interest in the lab, potential interest areas for research projects, and career aspirations; and (3) contact information for three references. We offer a competitive salary and an excellent benefits package. The Wistar Institute is in Philadelphia, in the heart of the University of Pennsylvania campus. Wistar provides resources for cutting-edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. Wistar is committed to accelerating research advances from bench to bedside through brilliant science and distinctive approaches to collaboration among scientific investigators and academic and industry partners. Wistar’s dynamic environment supports the advancement of discoveries that will change the future of human health. For more information about The Wistar Institute visit our website at www.wistar.org. It is the policy of the Institute to provide equal employment opportunities to all individuals regardless of race, citizenship, ethnicity, color, creed, religion, marital status, national origin, ancestry, sex, age, veteran status, mental or physical disability (including HIV and AIDS), pregnancy, caregiver status, domestic or sexual violence victim status, sexual orientation, gender identity and expression, or on the basis of genetic information, or any other characteristic protected by federal, state, or local law, with respect to all terms and conditions of employment.

VintaBio is seeking a GMP Operations Lead to join our Technology & Manufacturing team. This team is responsible for technology development, process development, and both non-GMP and GMP manufacturing of viral vector products. This is a hands-on leadership role for an experienced professional with deep expertise in upstream or downstream viral vector manufacturing within a GMP environment. The GMP Operations Lead serves as both a technical leader and people leader, overseeing GMP readiness, manufacturing execution, post-production activities, and continuous process improvement while managing a small team of scientists. The ideal candidate combines strong technical expertise with a passion for operational excellence, cross-functional collaboration, and team development. This individual will help drive successful GMP manufacturing campaigns while ensuring compliance, quality, and operational efficiency. Essential Responsibilities • Lead and coordinate all MSAT-owned GMP pre-production activities, including batch record authoring, material readiness, scheduling, planning, and manufacturing preparation., • Oversee on-the-floor execution of GMP manufacturing campaigns and lead the team responsible for hands-on manufacturing activities., • Manage GMP post-production activities, including deviations, batch record review and closure, documentation, data analysis, trending, reporting, and CAPA implementation., • Maintain and continuously improve MSAT SOPs and supporting GMP documentation., • Coordinate GMP training activities for MSAT team members to ensure readiness and compliance., • Lead MSAT-owned activities supporting Aseptic Process Simulations (APS)., • Partner with Process Development and Manufacturing teams to ensure successful scale-up and seamless transfer into GMP production., • Develop and implement tools to support process risk assessments, failure mode analyses, and other GMP readiness activities., • Establish and monitor key performance indicators (KPIs) to measure operational performance and drive continuous improvement., • Develop and maintain GMP readiness trackers to provide visibility across cross-functional teams., • Collaborate closely with Quality Control, Quality Assurance, Supply Chain, Facilities, Manufacturing, and other internal partners to ensure successful execution of GMP manufacturing campaigns. Team Leadership • Lead, coach, mentor, and develop a small team of scientists within the Technology & Manufacturing organization., • Foster a collaborative, inclusive, and high-performing team environment that supports employee engagement and professional growth., • Provide regular coaching, performance feedback, and development opportunities., • Support hiring, onboarding, training, and retention of team members., • Promote a culture of continuous improvement, accountability, adaptability, and operational excellence. Additional Responsibilities • Perform other related duties as assigned. Qualifications Required Qualifications • Bachelor's degree in Chemical Engineering, Biological Engineering, Biotechnology, Biology, Biochemistry, or a related scientific discipline., • Minimum experience requirements:, • Bachelor's degree with 6+ years of relevant industry experience, • Master's degree with 4+ years of relevant industry experience, • PhD with 2+ years of relevant industry experience, • Demonstrated experience supporting GMP manufacturing of viral vector products., • Strong expertise in either upstream or downstream viral vector processing., • Deep understanding of GMP manufacturing, compliance requirements, and documentation practices., • Experience with process execution, experimental design, data analysis, and technical problem solving., • Strong organizational, communication, and cross-functional collaboration skills., • Proven ability to lead projects, influence stakeholders, and successfully manage competing priorities. Preferred Qualifications • Master's or PhD in a relevant scientific discipline., • Previous experience leading or mentoring technical teams., • Experience supporting commercial-scale manufacturing or late-stage biologics., • Experience implementing operational improvements, KPI development, or Lean/continuous improvement initiatives. Technical Skills • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint), • Experience with Microsoft Visio, • Familiarity with data analysis and visualization tools, • Experience working within GMP documentation systems is preferred Why Join VintaBio? At VintaBio, you'll have the opportunity to work alongside talented scientists and manufacturing professionals who are advancing next-generation gene therapy manufacturing. You'll play a key role in bringing innovative therapies closer to patients while helping build scalable GMP operations in a collaborative, science-driven environment.

Position Summary Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey. This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that meet client needs and extend our Human Capital service offerings. Recruiting for this role ends on 10/30/2026. Work you'll do The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support large language model (LLM)-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as retrieval-augmented generation (RAG), embeddings, vector search, and governed access to structured and unstructured data and work directly with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights. You will be part of a blended onshore/offshore delivery team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.Build and maintain scalable data pipelines, dashboards, and reporting frameworks using Structured Query Language (SQL) and Tableau (or equivalent visualization platforms).Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.Support business development efforts including proposals, client presentations, and thought leadership content.Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable. A successful candidate would possess these skills: Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to others The team HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes. Qualifications Required: Bachelor’s degree in a Science, Technology, Engineering, and Mathematics (STEM) field (e.g., Computer Science, Engineering, Statistics, Data Science)2+ years of experience in data science, data engineering, or analytics.2+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.1+ years of experience with machine learning concepts, large language model applications, or AI-augmented analytics workflows.2+ years of experience using Python or R for statistical modeling and data wrangling, including proficiency in Databricks or Snowflake.Ability to travel 0–25%, on average, based on the work you do and the clients and industries/sectors you serve.Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: Advanced degree, including a Master of Science (MS) or Doctor of Philosophy (PhD), and/or relevant certifications.Direct experience in client-facing or consulting environments, with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle Human Capital Management (HCM), Salesforce), or in Human Resources (HR) data domains.Experience operationalizing large language model operations (LLMOps) and machine learning operations (MLOps) capabilities, including evaluation, monitoring, governance workflows, and model/prompt/version management.Cloud experience on one or more of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns.Experience explaining complex data and technology concepts, articulating risks and trade-offs, documenting decisions, and collaborating across product, data science/ML, data engineering, platform, and security teams.Experience in analytics product development—building repeatable tools, models, or platforms rather than one-off deliverables—and ethics and privacy practices, including recognizing consent, personally identifiable information (PII), and bias boundaries and escalating appropriately. 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 Deloitte, 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 $91,100 to $179,500. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #HCFY27` Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 371729 Job ID 371729 Data and Analytics | Artificial Intelligence and Data ScienceSame job available in 43 locations

AVEVA is creating software trusted by over 90% of leading industrial companies.Salary Range:$124,200.00 - $236,900.00This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. Position: Experienced Software DeveloperQualifications: Experience designing and developing in C#/.NET frameworkEmployment type: Full-time regular (flexible working options available)Location: Philadelphia, PA – HybridBenefits: Competitive salary; 20 Vacation days with increase for time served; high quality healthcare; 401(k) with 6% employer match; FSA and supplemental insurance; paid parental leave; 3 days paid volunteering; summer Fridays; flexible lifestyle benefits (fitness/tuition reimbursement)As an Experienced Software Developer, your responsibilities will include: Recognizing, articulating, and making technical decisions / trade-offs around multiple dimensions (scaling, reliability, performance, maintenance, etc.) that have an impact on your team.Designing, developing, testing, debugging, and maintaining high-quality software applications and cloud-native services.Building scalable, fault-tolerant solutions on Microsoft Azure using modern cloud architecture and engineering best practices.Designing and implementing microservices, REST APIs, and distributed systems that support enterprise-scale applications.Developing AI-enabled solutions by integrating Large Language Models (LLMs) into enterprise applications while evaluating trade-offs between performance, cost, latency, and model capabilities.Required Skills:Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, Physics, Electrical, Mechanical, or Chemical Engineering, or a related technical field, or equivalent practical experience.5+ years of professional software development experience building enterprise applications using object-oriented programming languages such as C#, .NET, C++, or JavaScript.Demonstrated ownership of medium-to-large engineering initiatives from design through deployment with minimal supervision.Strong experience designing and building microservices, REST APIs, and distributed systems.Experience developing cloud-native applications on Microsoft Azure (AWS or Google Cloud experience is also valuable).Strong understanding of SQL and NoSQL databases and designing scalable data architectures.Experience working with Large Language Models (LLMs) and understanding the trade-offs between model capability, latency, scalability, and operational cost.Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions.Experience with AI standards and frameworks such as Model Context Protocol (MCP), Agent2Agent (A2A), Semantic Kernel, Microsoft AI Foundry, or Microsoft Agent Framework (MAF).Experience with graph technologies, including GraphRAG, graph databases, knowledge graphs, ontologies, and semantic data modeling concepts to support AI-driven solutions.Experience evaluating AI outputs, including automated testing, validation, and quality measurement techniques.Experience building and integrating enterprise AI applications using Kubernetes, Docker, CI/CD, and DevOps best practices.Experience working in Agile/Scrum environments with Infrastructure as Code (IaC) and modern cloud-native development practices.Excellent communication, collaboration, and problem-solving skills with the ability to explain complex technical concepts to both technical and non-technical audiences.Designing Retrieval-Augmented Generation (RAG) solutions and leveraging GraphRAG techniques to improve contextual accuracy and knowledge retrieval.Implementing AI orchestration frameworks and agent-based architectures using technologies such as Semantic Kernel, AI Foundry, Microsoft Agent Framework (MAF), Model Context Protocol (MCP), and Agent2Agent (A2A).Applying prompt engineering techniques, tool calling, and agent orchestration to build intelligent, production-ready AI applications.Working with graph technologies and applying knowledge graph and ontology concepts to enhance AI-driven solutions.Delivering software on time while providing accurate estimates and consistently meeting delivery commitments.Understanding and proactively following team processes, engineering best practices, documentation standards, and code quality guidelines.Being persistent in resolving technical challenges, collaborating with cross-functional teams when necessary to drive solutions.Providing technical support for products, including troubleshooting complex customer issues and production escalations.Communicating technical designs through architecture documentation, design reviews, and technical presentations.Providing thoughtful feedback during code reviews, architecture discussions, and engineering design sessions.Continuously expanding knowledge of modern software engineering practices, cloud technologies, AI frameworks, and emerging industry trends.Mentoring junior developers by providing technical guidance, coaching, and support to help them grow professionally.Taking an active role in recruiting, interviewing, and onboarding new engineering talent.R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the center of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration, and inclusivity. If you want to build applications that solve big problems and do impactful work, join us!USA Benefits include:Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K.It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: aveva.com/en/about/careers/benefits/Hybrid workingWe work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.Hiring processInterested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.Find out more: aveva.com/en/about/careers/hiring-processAbout AVEVAAVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more: aveva.com/en/about/careers/AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.SummaryLocation: Philadelphia, Pennsylvania, United States of AmericaType: Full time

Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8. Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.Why Campbell’s…Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.Campbell’s offers unlimited sick time along with paid time off and holiday pay.If in WHQ – free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.Giving back to the communities where our employees work and live is very important to Campbell’s. Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually.Campbell’s has a variety of Employee Resource Groups (ERGs) to support employees.HOW YOU WILL MAKE HISTORY HERE…As a Senior Data Scientist, you will serve as a hands-on technical leader responsible for scoping, developing, and operationalizing advanced statistical, machine learning, and AI solutions that deliver measurable business value for Campbell’s. You will partner with business and technical leaders across the organization to transform complex, ambiguous challenges into scalable, production-ready analytics products. Through your expertise, leadership, and mentorship, you will elevate data science capabilities, influence strategic decision-making, and help position Campbell’s as a data-driven market leader and preferred retail partner.The Company is only considering candidates who do not, now or in the future, require employer sponsorship to legally work in the United States.WHAT YOU WILL DO…Lead the end-to-end development of advanced analytics solutions, including Machine Learning, Deep Learning, Artificial Intelligence, Optimization, Simulation, Data Mining, and Multivariate Statistical techniques such as clustering, regression, PCA, hypothesis testing, and factor analysis.Translate complex and unstructured data into actionable insights by sourcing, cleansing, engineering, and validating data while ensuring reproducibility, quality assurance, and model governance.Own the deployment, monitoring, and lifecycle management of production models in partnership with Data Engineering and ML Engineering teams, including CI/CD, drift detection, model retraining, and performance monitoring.Partner with stakeholders across Supply Chain, Finance, Marketing, Sales, and R&D to identify high-impact opportunities and develop data science solutions that generate measurable business outcomes and ROI.Design and lead experimentation strategies, including A/B testing and quasi-experimental approaches, to evaluate business initiatives and support data-driven decision-making.Develop compelling visualizations, presentations, and business narratives that translate technical findings into actionable recommendations for senior leadership and non-technical audiences.Collaborate with data engineering teams to enhance data and machine learning platforms, evaluate emerging technologies, and recommend improvements that increase scalability, speed, and reliability.Mentor and coach junior data scientists through code reviews, methodology guidance, technical leadership, and best practices.Contribute to the development of analytics standards, reusable assets, technical documentation, recruiting efforts, training programs, and data science communities of practice across the organization.WHO YOU WILL WORK WITH…Data Science, Data Engineering, and ML Engineering teamsSupply Chain, Finance, Marketing, Sales, and R&D leadersBusiness stakeholders and decision-makers across Campbell’sInternal analytics communities and cross-functional project teamsSenior leadership teams responsible for strategic business initiativesExternal retail partners as part of joint value creation opportunitiesWHAT YOU BRING TO THE TABLE… (MUST HAVE)Master's degree in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative field; equivalent practical experience will also be considered.4+ years of hands-on experience developing and deploying advanced analytics, machine learning, and statistical models in production environments.Strong foundation in data science methodologies, including probability, statistics, supervised and unsupervised learning, forecasting, experimentation, causal inference, and optimization.Advanced proficiency in Python and/or R with experience building scalable, modular, tested, and version-controlled analytical solutions.2+ years of experience working with SQL and modern data platforms such as Snowflake, Databricks, Spark, or comparable technologies.Experience developing and deploying machine learning solutions using libraries and frameworks such as pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, and statsmodels.Experience with MLOps and software engineering best practices, including Git, Docker, MLflow, CI/CD processes, model monitoring, and production support.Ability to design experiments, establish success metrics, quantify business impact, and effectively communicate findings to both technical and non-technical audiences.Strong problem-solving, stakeholder management, and communication skills with the ability to influence decision-making and drive adoption of analytical solutions.Demonstrated experience leading complex projects and mentoring junior team members.IT WOULD BE GREAT IF YOU HAVE… (NICE TO HAVE)PhD in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative discipline.Experience with optimization modeling and tools such as Gurobi, PuLP, or similar frameworks.Experience with cloud-based analytics and machine learning platforms, particularly Microsoft Azure, including Databricks, Synapse, AKS, Azure Functions, and cloud storage services.Experience building analytical applications, dashboards, or decision-support tools using Power BI, Tableau, Plotly Dash, or similar technologies.Familiarity with feature stores, advanced production MLOps frameworks, and large-scale model governance practices.Experience within Consumer Packaged Goods (CPG), retail, or related industries.Expertise in business domains such as demand forecasting, pricing and promotions, marketing mix modeling, assortment optimization, trade spend analytics, or supply chain optimization.Experience contributing to recruiting, training, and capability-building initiatives within data science or analytics organizations.Compensation and Benefits:The target base salary range for this full-time, salaried position is between $109,400-$150,400Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.SummaryLocation: USA - NJ - CamdenType: Full time

Philadelphia, PennsylvaniaHybridFull Time$160k - $180k A leading financial services firm is hiring a Lead Java Engineer to join their engineering team. You must currently reside in the Greater Philadelphia area to be considered. They are seeking deep expertise in Core Java to work on mission-critical, real-time infrastructure. This is not a framework, web services, or cloud role — candidates with that background will not be the right fit. To succeed here, you need a strong command of JVM internals, concurrency, and performance-focused engineering in high-throughput, low-latency environments. This is an environment where technical depth is genuinely valued and rewarded, with strong compensation, excellent benefits, and clear pathways for growth.Required Skills & Experience10+ years of experience in Core Java development Deep understanding of JVM internals Strong command of multithreading and concurrency At least a BS in Computer Science or related field Desired Skills & ExperienceIndustry experience MS or PhD What You Will Be Doing Tech Breakdown 100% Java Daily Responsibilities 90% Hands On 10% Leadership Duties The OfferBonus eligible You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation Time Equity 401(k) + Company Match Wellness Incentives Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Professional Engineering license or the willingness to obtain a P. Exponent is currently seeking a Managing Engineer for our Vehicle Engineering Practice in Philadelphia, PA. Engineering field, preferably pertaining to mechanics and dynamics.

Analyze and implement software requirements.Format, validate and upload data.Perform database schema changes.Automate existing manual tasks through use of script development.Make changes to the software code to resolve defects and make it more reliable.Perform debugging and root cause analysis for i

We are hiring an AI/ML Engineering Intern for a 3-6 month internship (with potential for extension) to contribute to our research and engineering efforts remotely within the United States.

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo