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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.

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

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

Data Review Scientist- Sequencing will be responsible for the analytical process work for the DNA sequence laboratory.

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 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 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.

We are seeking an Analytical Scientist to join a reputable pharmaceutical manufacturing company to conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. Design, validate, and resolve issues with analytical method

We are seeking an Analytical Scientist to join a reputable pharmaceutical manufacturing company to conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. Design, validate, and resolve issues with analytical method