Analytical scientist jobs in Passaic, New JerseyCreate job alerts

Role Description** Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a **Kaggle Grandmaster profile.In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows.You wil

Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation.

A company is looking for a Field R&D Lead Data Scientist with an industrial focus.Key Responsibilities Engage deeply with analytical challenges in energy, manufacturing, or similar sectors Lead R&D projects and develop analytical deliverables using machine learning and AI techniques Represent th

Clinical Scientist Data Reviewer 6 month contract w/ renewal 3 days onsite in Jersey City, NJ We are seeking a Clinical Scientist Data Reviewer that will support the scientific planning efforts and collaborate with Clinical Research, Pharmacovigilance and Clinical Operations in the execution of one or more clinical trials or significant aspects thereof. In this position, you will have the opportunity to demonstrate technical skills and scientific acumen as part of a cross-functional clinical development team. You will be a key contributor and supporter in the clinical science activities of evidence generation for regulatory approval and/or engagement with physicians, including protocol development, study implementation, data analysis and reporting of results. This role will be focused on the detailed and critical safety data review efforts from study start-up through final CSR. The Clinical Scientist Data Reviewer is a crucial role in analyzing and interpreting clinical trial data to ensure accuracy, integrity, and compliance with regulatory requirements. There is additional room for growth and leadership opportunities in this role. Responsible for supporting specific aspects of clinical/scientific execution of clinical protocol(s). This may include: • Serving as a supportive clinical scientist data reviewer focused on safety, efficacy and critical data deliveries as part of the clinical trial team, • Supporting the clinical study team as part of the clinical sciences functional line which is closely aligned with the medical monitoring team in review and interpretation of clinical data/medical protocol deviations in collaboration with Clinical Research and Pharmacovigilance (as well as other functional areas in this matrix environment), • Collaborating cross-functionally in the development of Protocol and related study materials (e.g., ICF documents / amendments); partnering with Clinical Operations on critical and key study deliverables, • Ensure CRF design supports data collection in alignment with the Protocol in collaboration with Clinical Data Management/Programming, • Collaborating cross-functionally to review clinical data to ensure quality, completeness, and integrity of trial conduct, • Potential to provide tactical/scientific mentorship to other clinical scientists and move into Clinical Scientist lead role as well as focus on scientific growth and development, • Responsible for assisting with the generation, analysis, and presentation of clinical data, including manuscripts, abstracts, and oral presentations (including authoring documents and slide preparation as appropriate), • Apply proficient analytical knowledge and skills to understand how program objectives and design impact data analysis; identifies risks and designs mitigation strategies, • Promotes consistent first line medical/clinical data review techniques and conventions across studies/programs Qualifications • 6+ years of experience with a Post Graduate Degree or 8+ years of experience with a Bachelor’s degree in a relevant scientific discipline., • Experience in clinical drug development experience, or a PhD, Pharm D, or RN degree is preferred., • Experience within oncology preferred, • Solid knowledge of clinical research regulatory requirements (e.g., GCP and ICH), • Ability to manage multiple competing priorities with good planning, time management and prioritization skills, • Strong analytical skills with the ability to interpret clinical trial data and synthesize conclusions, • Proficient scientific expertise to propose, design, and execute clinical research and development studies, and authors documents related to clinical trials, such as medical monitoring plan, SAPs, informed consent and clinical components of the Clinical Study Reports, • Interact with key stakeholders across Clinical Development functional areas, • Role requires proactive approach, strategic thinking and leadership in driving toward clinical study goals, • Influence opinions and decisions of internal and external customers / vendors, across functional areas, • Problem solving, prioritization, conflict resolution and critical thinking skills, • Strong communication, technical writing, and presentation skills experience

Job DescriptionPrincipal Data Scientist – Data & AI (Hybrid) Global Technology Organization We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide. In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact. What You’ll Work On Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources. Lead the design and optimization of scalable data pipelines to support production-grade ML systems. Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions. Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness. Produce clear documentation and communicate insights effectively to both technical and non-technical audiences. Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies. Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required). 10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact. Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development. Proven experience deploying models in cloud-based or distributed environments. Who Thrives Here Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions. Strong analytical thinkers with exceptional communication skills. Collaborative professionals who enjoy working across engineering, product, and data teams. Individuals who embrace continuous learning and stay ahead of modern ML trends.Machine Learning, Machine learning technologies, Python, TensorFlow, TensorFlow, Pandas, PyTorch, ETL - Extract Transform Load, ETL - Extract Transform Load

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements • Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling., • Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying., • Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn)., • Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow)., • Strong analytical skills and the ability to work with large datasets to extract meaningful information., • Experience in data preprocessing, feature engineering, and model evaluation., • Excellent problem-solving abilities and strong communication skills to present findings effectively. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionQuality Control Analytical ScientistAllendale, NJ Lynkx Staffing LLC specializes in placing talented professionals in the Biotechnology, Pharmaceutical and Medical Devices industries in New Jersey. The QC Analytical Scientist will be a member of the Quality Control Department. As a Senior Member of the team the QC Analytical Scientist will be involved in various QC projects and should have a deep understanding of general QC flow and the Product Cycle. • Support internal and external customers to ensure that proper and timely execution of all aspects of the clinical analytical method life cycle across clients., • Support routine GMP testing as assigned. Mentor and train team members, • Evaluate corporate and regulatory requirements along with coordination of activities for implementation of these requirements., • Write the contents of Analytical Method Transfer and Validation life cycle documentation including master plans, protocols, test methods, and reports., • Create validation project plan i.e., timelines and resources and provides status updates to management. Utilize statistical tools for evaluation of method validation and trending data., • Identify, evaluate, and implement continuous business process improvements., • Perform troubleshooting activities with respect to methods/assays, equipment malfunctions and investigations (Deviations and OOS)., • Provide support during laboratory investigations., • Train QC personnel during method transfer and validation. Provide support during equipment qualification., • Consistently produce elevated level of documentation accuracy and clarity according to cGMP documentation practices., • Ability to set deadlines and prioritize work for self, group members, and support groups involved. Ability to review/approve work performed by coworkers for accuracy and alignment with procedures., • Indirectly may supervise cross functional teams including product development, QA, PMP, and Manufacturing.REQUIREMENT, • B.S Analytical Chemistry or other scientific field or MS/Ph.D. in Analytical Chemistry or other scientific field with demonstrated experience in Quality Control laboratories for biotechnology products., • 8-10 years of experience in the areas of method development, validation, and transfer., • Direct GMP Experience., • Proficiency in project management skills and tools., • Strong background and in-depth knowledge in analytical chemistry e.g. Flow Cytometry, ELISA, HPLC, CE, PCR, etc., • Extensive knowledge and experience of QC assay development, transfer and validation, along with cGMPs., • Strong Quality orientation with attention to detail required. Analytical and problem-solving skills required., • Excellent communication skills, both written and verbal, with all levels of the organization, including the ability to state opinions clearly, ask questions, seek clarification, communicate facts objectively, challenge when appropriate, and pursue issues to resolution., • Excellent presentation skills. Ability to communicate to upper management, across departments and within the immediate QC team., • Ability to create and manage work plans and timelines and independently manage competing priorities with limited instruction., • Highly motivated individual with good interpersonal skills that have proven effective in managing relationships and negotiating solutions while maintaining a level of approachability with colleagues both internal and external., • Must be familiar with GMP lab environment and Aseptic techniques.Working EnvironmentMust have the ability to work in a team-oriented environment and with clientsMust be able to work during the weekend, holidays, or overtime and as required by the companyMay be exposed to infectious diseases transmittable through human blood, tissues, or bodily fluidsMust utilize proper personal protective equipment (PPE) when handling all human specimens, gases, corrosive chemicals, and liquid nitrogenMust have the ability to work with specialized equipmentMust be able to handle the standard/moderate noise of the manufacturing facilityMay work with hazardous materials and chemicals Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Job Description About Us Catalyst Labs is a specialized talent partner with a focus on recruiting top-tier engineers across Software, Data, and AI-driven domains. We are deeply embedded in our clients’ technical hiring operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems Our Client: A fast-growing technology company that embeds top engineering talent directly into customer environments to solve high-impact operational and data challenges. They help enterprises rapidly build and scale mission-critical applications that drive measurable business outcomes. The company bootstrapped to generate $25M in revenue and raised $6.7M in total funding, supporting its continued growth and expansion. Location: Hudson Yards, NY Work type: Full time, Hybrid (travel required 10 to 30% of the time) Overview This role is centered around partnering directly with customers to solve their most valuable and complex problems. As a Forward Deployed Software Engineer, you will work hand-in-hand with stakeholders to design, build, and maintain high-impact applications that drive real business change. Your day-to-day work involves understanding mission-critical objectives, transforming enterprise data into operational workflows, and delivering tools that executives and frontline teams rely on to make informed decisions. You’ll move fast rapidly iterating, building systems from scratch, and enabling organizations to modernize their operations at exceptional speed. Beyond writing code, you will play a key role in reshaping how entire teams operate by delivering powerful, data-driven solutions that directly influence business outcomes. Key Responsibilities * Work closely with customer stakeholders to understand their most critical business objectives and translate them into high-impact technical solutions. * Architect, develop, and maintain applications that operationalize enterprise data and drive measurable business outcomes. * Build end-to-end workflows using large structured and unstructured datasets in production environments. * Iterate rapidly, often building systems from scratch, to help customers transform their operations at exceptional speed. * Collaborate directly with executives, operators, and cross-functional teams to deploy tools that meaningfully improve business processes. * Own projects autonomously taking full responsibility for delivery, implementation, and long-term success. * Embed with customer teams as needed, providing both technical expertise and on-the-ground support. * Travel to client sites as required (typically 10 to 33%) to support implementations and ensure successful adoption. * Work hybrid/on-site at company offices (London, New York, Washington D.C., or Denver) and at customer locations during key phases of deployment. Qualifications Required * Bachelor’s or Master’s degree in Computer Science or a related field. * 1 to 5 years of experience as a fullstack engineer, data engineer, or FDE * Strong analytical and problem-solving skills, with the ability to break down complex challenges and deliver practical, production-ready solutions. * Proficiency in Python and/or TypeScript. * Demonstrated experience building applications that leverage large datasets in real-world production environments. * Proven track record of delivering measurable outcomes through codewhether as a software engineer, data scientist, or technical analytics lead. * Ability to work independently and own outcomes end-to-end while also collaborating effectively with technical and non-technical stakeholders. * Excellent communication and interpersonal skills to work closely with customers and internal teams. * Willingness to travel for customer implementations (10 to 33% depending on project). * Enthusiasm for working hybrid-in-person at one of the company’s office locations and onsite with customers. Preferred * Experience working with Palantir Foundry and/or AIP. * Experience delivering production ML or LLM-based solutions. * Experience building production React frontend applications. * Familiarity with Spark, distributed computing, or large-scale data processing frameworks. Note: We adhere to strict data protection policies to ensure that your information is secure and only shared with potential employers with your explicit consent to ensure your confidentiality throughout the hiring process

Job DescriptionScientist – Engineer, MSAT The Scientist-Engineer, MSAT performs process and analytical experimental studies as part of a team that is effectively delivering cell therapy services to clients in accordance with defined scope of work, timelines, and budgets. This includes leading projects in process development, technology transfer and continuous improvement of our client's novel manufacturing processes. Our goal is to support our clients in developing commercially viable cell therapy products, so that they can become accessible to all. • Accountable for the design and execution of experimental studies in the laboratory, for example:, • Perform laboratory experiments for client projects, • Perform analytical testing for client projects, • Preparation and scheduling of laboratory equipment for experiments, • Provide technical leadership of client products during manufacturing and development, for example:, • Direct technical communication with clients during manufacturing and development, • Support manufacturing in identifying and resolving manufacturing process constraints, • Lead the generation of manufacturing and development documentation, for example:, • Generating experiment protocols and reports for development projects, • Generating draft batch records and other manufacturing documentation, • Generating manufacturing risk assessments, such as FMEA, • Perform data analysis to reach actionable conclusions, for example:, • Compile and analyze experimental data, • Present experimental data internally and externally to clients, • Supervise direct reports.REQUIREMENTS, • Bachelor's degree in relevant life science or engineering discipline, • Minimum of 3 years' experience in aseptic cell processing, cell culture and cell analytics under the guidance of scientific protocols, • Demonstrated ability to deliver projects to specific timelines and budgets, • Experience in working effectively and delegating tasks in a team-based environment, • Demonstrated ability in technical writing and the preparation of, protocols and reports, presentations and/or other communications, • Basic understanding of the technical principles, theories and concepts of cell therapy or similar products, • Aseptic processing, Good Manufacturing Practice (GMP), communication skills, specific process and analytical equipment, • This job may require occasional evening and weekend work.

Job DescriptionQuality Control Manager The Quality Control (QC) Manager plays a pivotal role in ensuring that QC is effectively serving in its support role to clinical and commercial production. The QC Manager will ensure that analytical testing for process check points, stability, and release assays are being carried out to certify that quality standards are upheld for all products produced at the facility. The goal is to ensure that the Quality Control group and company is constantly moving towards fulfilling its short-term and long-term objectives and does not diverge from its strategic guidelines. Under the direction of the VP, Global Quality Head, responsibilities of the QC Manager will include but are not limited to: • Leading, hiring, developing, training, and evaluating QC personnel, • Devising sound hiring strategies based on business needs, • Supervising and overseeing QC personnel in their roles for safe and efficient verification, approval, release/disposition of HCATS and/or client products/materials, • Delegating responsibilities and supervising the work of laboratory personnel, while providing guidance and motivation to drive maximum performance, • Ensuring and promoting compliance with applicable cGMP and GTP regulations, while ensuring compliance with company and client methodologies, • Assuring alignment and efficient continuity in laboratory practices between sites, • Serving as approver in investigations while overseeing timely closure of deviation reports, change controls, CAPAs, and applicable batch records, • Ensuring completion of all client QC requirements related to GMP cellular products and/or materials, • Overseeing QC role in material dispositions via deviation reporting system, CoAs, and/or client-based systems, if applicable, • Prioritizing, scheduling, and managing multiple projects and resources simultaneously, • Monitoring effectiveness of quality systems, change control activities and their completion, for both, internal and client audit findings, • Evaluating and investigating customer complaints and deviations; coordinating corrective and preventive actions as they relate to the Quality Control function, • Delegating maintenance, tracking, and trending aspects of the deviation reporting system, • Developing and maintaining Key Performance Indicators (KPIs) for laboratory testing, • Interfacing with vendors, suppliers, and in-house production personnel to ensure effective corrective and preventive actions are implemented for recurring product/process discrepancies, when applicable, • Interfacing with management at all levels for alignment on significant deviation resolution and corrective action implementation, • Delegating development, revisions, and implementation of Standard Operating Procedures as related to Quality Control activities, • Participating in and tracking group budget setting and cost containment drives, • Communicating and maintaining trust relationships with senior management, business partners, and clients, • Ensuring company policies and legal guidelines are communicated top-down in the company and that they are followed at all times, • Completing projects and special tasks as assigned by the Global Quality Head, • Off-schedule shifts during weekends and holidays based on business requirements a possibility, • On-call presence preferred while physical personal presence is not possible, • Candidate will oversee QC Scientist and QC Associate I, II, and III roles. The QC Manager will delegate responsibilities to direct reports to achieve the requisite business needs, while providing ongoing support to Manufacturing processes.REQUIREMENTS, • BA/BS/MS in a science or relevant field required, • Master’s in Business Administration or relevant field will be preferred, • 7 – 10 years’ experience in the pharmaceutical, biologics or related industry, • Prior cGMP experience required, • Prior QC laboratory, clinical laboratory, microbiology, hematology, blood banking, or immunology experience in a CGMP/GTP environment a must, • Experience in Flow Cytometry is a must, • 5 + Years experience leading a team is a must. Proven ability to lead, coach, and motivate employees, clearly communicate job requirements and effectively manage performance of assigned staff, • Sound understanding of current Good Manufacturing Practices (cGMPs), • Working knowledge of routine QC laboratory procedures such as flow cytometry and CBC analysis, endotoxin testing, equipment and systems, and understanding of production processes and validation, • Prior experience with reviewing Standard Operating Procedures, work instructions, protocols, methods, method validations preferred, • Proven experience in a supervisory or managerial position, • Demonstrable experience in developing strategic plans based on business needs, • Strong understanding of Quality Control in pharmaceutical/biotechnology/biologics industries, • Thorough knowledge of market changes and forces that influence the company, • Proficient with computer software: Microsoft Office, Visio, • Strong written, oral, and presentational skills, • Strong knowledge of QC Analytical testing methodologies, philosophies, method validation and method transfers, • Strong knowledge of quality systems and ability to interpret Quality standards for implementation and review, • Excellent organizational and leadership skills, • Excellent communication, interpersonal, and presentation skills, • Outstanding analytical and problem-solving abilities, • Strong business acumen, • Ability to think strategically, tactically (detail-oriented), and advise personnel in an effective manner, • Candidate must be detail oriented, can multi-task, work in a team environment, and have the flexibility to adapt to company growth as well as its evolving responsibilitiesWhile performing the duties of this job, the employee may occasionally be exposed to infectious diseases transmittable through human blood, tissues, or bodily fluids and are expected to utilize universal precautions with all human specimens. Other exposures may include gases (nitrogen), or corrosive chemicals (Clorox, potassium hydroxide), or exposure to liquid nitrogen. The noise level in the work environment is moderately noisy. Must have the ability to work in a team-oriented environment and with clientsMust be able to handle the standard/moderate noise of the manufacturing facility Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.