Scientist jobs in Highland Park, NJ - 1,831 jobs

A Product Development Scientist role involves a wide range of activities, including developing and optimizing new product formulations and processes, conducting laboratory testing and evaluations. Key responsibilities include batching several iterations, ensuring technical accuracy in product development through stability studies, and documentation. Working with the team, time management, attention to detail, strong analytical skills, strong communication, following the timeline. Required Skills FORMULATION Experience is required Consumer Products - Skin Health BA Degree 2 to 4 years' experience About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: I.Prudvi kumar Email: ******************************* Internal Id: 26-00383

A recognized company in New Jersey is actively seeking a new Senior Scientist to join their growing Health Economics Resources initiatives. In this role, the Senior Scientist will be responsible for supporting the design, execution, and communication of observational studies using diverse RWD sources. Responsibilities: Support implementation of strategies to demonstrate the unmet need in disease with focus on outcomes meaningful to payers, clinical decision-makers, and regulators Assist with research to generate evidence necessary to demonstrate product differentiation and value for commercial/market access needs support clinical development, regulatory and safety needs (real-world evidence and epidemiology studies) Partner with CORE asset leads in development and execution of RWE studies delivered through hands-on analytics execution Evaluate new and emerging data modalities (e.g., claims, EHR, social determinants of health, genomics, biomarkers, clinical notes) and conduct feasibility assessments to match study objectives with optimal RWD sources (claims, EHR, registries, patient-generated data) Execute studies by managing table shells, analytic data file, analysis plan, programming, statistical methods, and quality control per regulatory and scientific standards Conduct quality assurance and code validation, review programming code and data Draft analysis reports and support the final publication/presentation of results Perform other duties, as needed Qualifications: 3+ years of experience in Real-World Evidence Generation and Epidemiology Analytics Graduate (PhD or Masters) degree in Epidemiology, Biostatistics, Public Health, or related field Working knowledge of the structure and caveats of Healthcare Claims Databases, Electronic Medical Records and/or Hospital Billing Data, Cancer Registry Data (SEER), Linked Dataset, etc. Knowledge in Epidemiologic and Statistical concepts, such as confounding, bias, cumulative incidence, incidence rate, regression models, survival analyses. Knowledge of Research Design and an ability to apply appropriate Statistical Methods common in outcomes research & epidemiology (survival analysis/modeling, regression analysis, IPTW, MAIC, causal inference, etc) Hands-on proficiency in Statistical Programming (SAS, R, Python) on Real-World Oncology Claims / EHR Data & AI/ML frameworks Solid problem solving and time management skills Great interpersonal skills Excellent communication skills (written and verbal) Strong attention to detail Highly organized Able to multitask efficiently and effectively Desired Skills: Oncology experience

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical manufacturing client in Summit, NJ . No Third-Party, No Corp to Corp, No Sponsorship Now or Future Title: Product Development Scientist - Formulation Location: Skillman NJ Hybrid Work Locations; Skillman, NJ 4 days/week then in Summit, NJ 1 day per week. Hours: 8:30am to 5:00pm (Monday through Friday). May fluctuate based on needs. Contract Duration: 10 months, with likely extension Pay Rate: $43.28 per hour (w2) *PLEASE NOTE: Apply only if you have FORMULATION Experience this is required Job Description: Consumer Products - Skin Health A Product Development Scientist role involves a wide range of activities, including developing and optimizing new product formulations and processes, conducting laboratory testing and evaluations. Key responsibilities include batching several iterations, ensuring technical accuracy in product development through stability studies, and documentation. Working with the team, time management, attention to detail, strong analytical skills, strong communication, following the timeline. FORMULATION Experience is required BA Degree 2 to 4 years' experience

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads-automating sourcing, pricing, contracting, delivery, and measurement with AI-so work that took months now happens in minutes. We're on a mission to transform a $600B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work-finally being paid in proportion to the value they create. That shift is accelerating: Unilever's CEO has said the company will move roughly half of its ad budget into social and creators-Unilever is among the world's largest advertisers, spending around $9-10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio's investors include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes' list of Next Billion Dollar Startups, 2025. We've raised $16M to date, our product is already used and loved by the world's leading marketers and creators- and we're just getting started. Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step-from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We're expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you'll have an immediate impact-shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions-what we build, how we price, and where we scale-so creators and brands win together. If you're curious, collaborative, and excited to own outcomes in a fast-moving environment, let's talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you've likely ever worked before - with far greater reward A positive, honest, empathetic, and curious teammate What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO - Take the time you need to recharge Comprehensive Health Coverage - Top medical plan through Aetna Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan - Invest in your future while you build your career $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! - We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! - Your workout, right downstairs The estimated base compensation for this role is between $130,000 & $ 225,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits. #J-18808-Ljbffr

Business: Disney Direct to Consumer Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. What You'll Do Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep Analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data Sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer . Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences. #J-18808-Ljbffr

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

The Subscriber & Commerce Data Science team at Disney Streaming builds machine learning models to optimize payment processes, detect and prevent fraud, and forecast customer lifetime value across our streaming platforms, including Disney+, Hulu and ESPN+. We play a key role in growing the business by increasing payment success, reducing fraud, improving retention, and enabling value measurement through user-level lifetime value (LTV) modeling. We're hiring a Data Scientist to help design, build and deploy machine learning solutions that solve key business challenges. In this role, you'll work closely with Product, Engineering, Analytics and Finance to deliver models that enhance the customer experience and drive measurable business impact. Responsibilities Develop, optimize, and maintain models for payment optimization, fraud detection, and LTV prediction. Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation. Collaborate with Product and Engineering to deploy models into production environments and monitor performance. Design and analyze A/B tests and other experiments to assess model impact. Implement batch and real-time inference pipelines for fraud detection and payment optimization use cases. Insights & Strategy Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights. Translate complex data into clear, data-driven recommendations to improve business outcomes. Cross-functional Collaboration Partner with stakeholders to translate business needs into machine learning problems. Collaborate with Engineering to improve data pipelines, experimentation frameworks, and model monitoring. Communicate insights effectively to technical and non-technical stakeholders. Basic Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience developing and deploying machine learning models in production. Proficiency in SQL and Python (e.g. Pandas, NumPy, Scikit-learn, LightGBM); experience with distributed computing tools such as Spark or PySpark. Preferred Qualifications Deep expertise in statistical modeling and machine learning, including Bayesian methods. Familiarity with tools like Databricks, Snowflake, Airflow, GitHub. Experience designing and analyzing A/B tests and other experiments. Experience with data visualization and exploration tools such as Tableau, Looker. Ability to choose and justify appropriate modeling and statistical techniques for varied problems. Comfortable working in fast-paced environments with evolving priorities. Excellent communication skills with both technical and non-technical audiences. The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year and in New York City, NY is $120,300 to $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

EDO is the TV outcomes company - a leading platform measuring Convergent TV advertising. Combining real-time engagement signals with world-class decision science, EDO maximizes creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO's investment-grade data align advertising investments to business results - with detailed competitive, category, historical, and predictive intelligence. EDO is headquartered in Los Angeles and New York City. We also have an office space in San Francisco. We recognize the benefits of hybrid working and want to create the best balance to ensure we can continue working together effectively. For this role, we have a hybrid work policy of 2 days a week in any EDO office. The Role Data Scientists at EDO drive EDO's modeling and analytical methodology to measure the effect that television and streaming ads have on consumer behaviors, primarily consumers' online search and website visits. What You Will Do Enhance EDO's AdEngage platform that measures the effectiveness of linear and streaming TV ads, and enable it to process new types of data and serve new client needs. Test out new methods for modeling ad effectiveness on trillion-event data sets spanning millions of households for several years. Develop reusable tools and building blocks for connecting data sets. Build, diagnose, and tune models, then automate the modeling and diagnostics. Work on a small team and take ownership of high impact projects. What We Are Looking For 3+ years professional experience doing hands-on analysis and writing clean, reusable code in Python. Interpersonal and communication skills to work effectively on a distributed team. Experience building and tuning XGBoost (or similar GBM) models, and with cross-validation techniques, and familiarity with a handful of other modeling tools. Experience with git and exposure to unit testing concepts. Understanding of biased data and adjustment methods including weighting and resampling. Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily). Building models of sales lift, running controlled experiments, modeling marketing effectiveness. Familiarity with panel datasets, especially ones with missing data and attrition. Development and test pipelines, continuous integration. Development of feature engineering pipelines and DBT. Implementing or auditing policy compliance in data pipelines and workflows. EDO offers engineering teams a full suite of GenAI tools to assist in developing their work, and resources to best enable use of these tools, as desired. EDO offers a competitive compensation package. Components of compensation include: Mid-stage equity and competitive salary Flexible Time Off Medical, dental and vision coverage, deeply discounted by EDO 401(k) plan, FSA, HSA When in an office, employee meals, snacks, and more fully paid for The base salary range for this position is $120,000 to $150,000, PLUS equity in a mid-stage company. Compensation will be determined based on the skills, qualifications, experience, location and the level of education attained of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. EDO is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

Job Title: Formulation Scientist - Skin Health Duration: 10-Month Contract Work Hours: Monday - Friday, 8:30 AM - 5:00 PM Locations: Skillman, NJ 08558 (4 days/week) / Summit, NJ 07901(1 day/week; may fluctuate based on business needs) Experience Required: 2 to 4 years of formulation experience (mandatory) Education: Bachelor's Degree (BA/BS) required Key Responsibilities: Develop and optimize new product formulations and manufacturing processes. Perform laboratory testing, evaluations, and multiple formulation iterations (batching). Conduct stability studies to ensure technical accuracy and product performance. Maintain accurate and detailed documentation throughout the product development lifecycle. Collaborate effectively with cross-functional teams. Manage timelines efficiently while maintaining attention to detail. Apply strong analytical and problem-solving skills. Communicate findings, progress, and challenges clearly and professionally. Required Skills & Qualifications: Strong formulation experience (required) Background in Consumer Products, preferably Skin Health Excellent time management and organizational skills High attention to detail Strong analytical and communication skills Ability to work collaboratively in a team environment

JAI Development is a food and beverage innovation lab specializing in product formulation and production operations management across diverse product categories. JAI Development helps emerging CPG brands reach their goals. JAI Development partners with a network of industry professionals to support these brands. The company has worked on award-winning projects at both local and national levels. Role Description This is a full-time on-site role for an Associate R&D Beverage Formulator located in Brooklyn, NY. The Associate R&D Beverage Formulator will be responsible for assisting with the formulation of new beverage products, conducting research and development activities, and utilizing laboratory skills to test and refine product formulations. Day-to-day tasks include supporting the R&D team with analytical assessments, collecting and analyzing data, and effectively communicating findings and progress within the team. Qualifications Experience in Research and Development (R&D) and strong Research skills Proficient in Laboratory Skills and Analytical Skills Excellent Communication skills Highly organized with attention to detail Bachelor's degree in Food Science, Chemistry, or related field Ability to work collaboratively and independently in an on-site setting Experience in the food and beverage industry is a plus Desire to work in a fast-paced environment, collaborating with a team of professionals. Detail oriented, striving for perfection but ability to learn from failure.

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

Are you an experienced Biochemist - High-Throughput Screening with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Biochemist - High-Throughput Screening to work at their company in Rahway, NJ. Primary Responsibilities/Accountabilities: The Chemical Biotechnologies Group at the client is seeking an experienced researcher to support our high-throughput capabilities. The mission of the group is to invent, develop, and implement biomolecules and biocatalytic processes to advance the client's pipeline and our impact on the scientific community. This position in our biochemistry team is responsible for lysing E. coli cell pellets to liberate enzyme in solution or generate enzyme from in vitro transcription translation (iv TT) mix, setting up reactions using this solution as a catalyst solution, quenching reactions and prep them for HPLC analysis, running the HPLC, and analyzing the data generated in support of our protein directed evolution workflow. The candidate will perform high throughput workflows with 96 or 384 well formats using various automation instruments. The candidate will have hands-on, extensive experience with instrumentation essential for monitoring substrates and products profiles for reactions, especially Agilent UPLC systems. In this position, the candidate will have the opportunity to work with a diverse group of team members to effectively coordinate efforts and operate multiple projects. The candidate ensures activities of assignments are executed such that project deliverables and timelines are met. The candidate is responsible for good housekeeping and performing work in a safe manner in the work area by applicable safety equipment and personnel protective equipment (PPE). Qualifications: Bachelor's degree in Molecular Biology, Synthetic Biology, Bioengineering, Biochemistry or related field with +5 years' of experience, or MS with +2 years of experience, or PhD. Experienced in high-throughput screening and automated liquid handling (Biomek or Tecan liquid handling systems) and various analytical methods (HPLC, LC-MS, spectrophotometry, gel electrophoresis, FPLC). Proficient in preparing chemical and biochemical reactions Experience with protein handling and biochemical, biophysical, and/or phenotypic protein characterization techniques (e.g., activity assays, SDS-PAGE, UV-Vis spectrophotometry). Understanding of experimental design and data analysis principles Strong organizational skills and attention to detail Excellent teamwork and multitasking Good documentation of experimental reports Software Skills: MS office (Word/Excel) Preferred: Experience with one or more of the following: next-generation sequencing, directed evolution, protein expression or microfluidics Experience in protein characterization and purification Experience in protein expression platforms (yeast, bacillus, mammalian) is a plus Experience with data analysis using Python, R, Excel, or similar tools Industry experience is preferred.

Under close supervision, completes tasks as directed. Adheres to set objectives and standards. Ordering raw materials, making batches, and keeping track of experiments in a lab notebook. Performs and tracks stability on all formulas made. Needs to be detail-oriented. Open communication to bring to the attention of the chemists/manager of any stability issues. Interface with support groups for testing requests via IT system. BS, Chemistry or related field required * 0-3 Years of Experience.

About Us: At the Center for Food as Medicine and Longevity, we are pioneering the integration of nutrition and healthcare. By leveraging food's therapeutic potential, we aim to revolutionize how diseases are prevented, treated, and managed. We are embarking on an ambitious project to provide comprehensive academic literature reviews and practical guidance on using food and dietary supplements to treat various diseases and improve healthspan. How to Apply: (YOU MUST SEND AN EMAIL TO **********************) Key Responsibilities: Conduct in-depth research on the therapeutic use of food and dietary supplements for various health conditions and healthspan improvement. Draft detailed academic literature reviews, ensuring all information is thoroughly researched and supported by scientific evidence. Integrate research findings into coherent, accessible content that bridges scientific evidence with practical health advice. Manage and organize research materials, references, and drafts using Zotero. Edit and refine content to ensure clarity, accuracy, and engagement. Qualifications: Post-doc or recent Ph.D., MD, or DrPH graduate from a distinguished institution in science, nutrition, public health, or a related field Exceptional research, writing, and organizational skills Ability to develop and maintain guides on the impact of food and dietary supplements on various health conditions and longevity Expertise in conditions such as diabetes, heart disease, anxiety, depression, chronic respiratory diseases, and digestive disorders Commitment to producing scientifically robust and practical guides for healthcare providers and the public Why Join Us: Contribute to impactful work that has the potential to change lives and reshape healthcare Gain valuable experience in research, writing, and the intersection of nutrition and medicine Work with a passionate team dedicated to promoting health equity and innovative healthcare solutions Publication and Recognition Opportunities: Use the research material as a first author for narrative and/or systematic reviews Contribute to the development of resource guides, and your name will appear on our website as the key researcher for specific diseases and health span states. Compensation and Work Structure: This position offers a unique blend of academic and professional opportunities. While the postdoc will be compensated, this role also has a significant volunteer academic component. Stipend: $400 - $600 per literature review per assigned topic, such as Muscle Elasticity, Glowing and Radiant Skin, etc. Additional tasks outside pre-approved literature reviews will only be paid at approximately $25-30 per hour with prior written agreement. How to Apply: We want to hear from you if you're ready to contribute to this impactful project! You MUST send an email to ********************** with the following: A brief, informal introduction about yourself Your interest in this position Recent work and achievements A demonstration of your exceptional writing and organizational skills Your resume as an attachment Visit foodmedcenter.org for more information about our work and mission. Applications submitted through any other method will not be considered. Industry: Non-profit Organizations Employment Type: Part-time

Job Title: Analyst, Data Scientist Salary: $70,000-$90,000 Contact: ******************************** is not available for C2C or C2H and the client is unable to sponsor at this time. About the Company We are partnering with a leading organization in the textiles and apparel sector, known for its commitment to innovation, quality, and operational excellence within the retail industry. The company is focused on enhancing business processes and delivering exceptional value to its customers through data-driven decision-making. Role Overview The Analyst, Data Scientist plays a critical role in developing and maintaining reporting tools, including metrics, dashboards, and analytical platforms. This position supports strategic and operational decision-making by applying data analysis to identify insights, maintain process controls, and drive continuous improvement across the organization. Key Responsibilities Manage reporting requests from field operations by defining technical requirements and developing reports, metrics, and dashboards using SQL and Power BI Design and build advanced Power BI dashboards leveraging DAX, Power Query, and other advanced features Perform data cleaning and analysis, translating complex analytical results into clear, actionable insights Collaborate with business stakeholders and IT teams to align on project objectives and deliverables Support strategic initiative planning through prioritization, estimation, and analysis Gather, document, and maintain detailed business and technical requirements Participate in problem-solving sessions with business users and leadership to address analytical challenges Lead change management efforts and deliver training to end users as needed Serve as a liaison between business teams and IT to resolve system issues and improve processes Provide regular project updates and communicate issue resolution status to stakeholders Qualifications Bachelor's degree in Engineering, Mathematics, Computer Science, or a related field 1-2 years of experience developing business or technology solutions Strong proficiency in Power BI, including DAX and Power Query Solid understanding of data warehousing and business intelligence concepts Ability to read and write SQL Familiarity with R, Python, and machine learning concepts (theoretical or practical) is a plus Advanced skills in Microsoft Office tools, including Excel, PowerPoint, Word, Visio, and SharePoint Experience in a corporate retail environment is preferred This role is ideal for a proactive, analytical professional who thrives in a fast-paced environment. The successful candidate will demonstrate strong communication and collaboration skills and the ability to work effectively across cross-functional teams.

A leading media and entertainment company in New York City is seeking a Data Scientist II to develop and deploy machine learning solutions. The role involves collaborating with Product and Engineering teams to optimize payment processes and enhance customer relationships. Ideal candidates will have a Bachelor's degree and over 3 years of experience in machine learning model development. Competitive compensation is offered, including a salary range of $120,300 to $161,300 per year. #J-18808-Ljbffr

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

A major media and entertainment company seeks a data scientist to design and improve machine learning models that analyze subscriber behavior. The role includes deep analysis of data and collaboration with business stakeholders to drive growth and retention. Applicants should possess a Bachelor's degree in mathematics or statistics and 3+ years of machine learning experience, including proficiency in Python and SQL. This position is located in California, USA and offers opportunities to contribute vital insights to major entertainment platforms. #J-18808-Ljbffr

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr