data scientist

job summary: We have a 1 year contract opportunity for a Data Quality Engineering & Operations Manager. This role is fully remote working mainly MST hours.    location: Telecommute job type: Contract salary: $65 - 75 per hour work hours: 8am to 5pm education: No Degree Required   responsibilities: What You'll Do Product Ownership & Strategy - Own the enterprise data quality strategy, roadmap, and backlog aligned to data governance objectives and business priorities - Define success metrics for data quality, including coverage, incident reduction, SLA performance, analytics trust, and AI impact through well-documented and enforceable policy, standard and procedures - Drive adoption and value realization of data quality policy and standards from Monte Carlo, ensuring it is used consistently and effectively across domains Delivery & Operations - Translate business, governance, analytics, and AI requirements into actionable data quality rules, thresholds, and monitoring - Configure and operationalize Monte Carlo to monitor data freshness, volume, distribution, schema changes, and anomalies - Ensure data quality controls are implemented across: o Source and operational datasets o Curated analytics and semantic layers o AI training, feature, and inference pipelines - Own day-to-day data quality operations, including alert triage, root cause analysis, and remediation coordination Data Quality for Operations & Analytics - Establish and operationalize data quality standards for: o Critical data elements (CDEs) used in decision-making o Management and regulatory reporting datasets o Enterprise metrics, KPIs, and dashboards - Use Monte Carlo observability signals to proactively identify upstream issues impacting reports and analytics - Improve trust and adoption of analytics through transparent quality metrics and reporting Data Quality for AI & Advanced Analytics - Establish and operationalize data quality standards for AI and ML use cases, including: o Training and validation data completeness and representativeness o Label accuracy and consistency o Schema, volume, and distribution drift detection o Bias, outlier, and feature stability monitoring - Partner with data science teams to identify AI-critical datasets and features - Use Monte Carlo monitoring and anomaly detection to identify data issues that could impact model performance or reliability People & Stakeholder Leadership - Manage and mentor Data Quality Engineers responsible for rule development, monitoring, and issue analysis - Collaborate with Data Engineering, Analytics, Data Science, Privacy, and Business Data Owners - Communicate data quality health, trends, and risks to governance and executive stakeholders What We're Looking For - 7+ years of experience in data, analytics, or data management roles with a strong focus on data quality - 3+ years in a people-lead role supporting data or analytics platforms - Hands-on experience implementing or operating Monte Carlo or similar data observability platforms - Strong understanding of data quality dimensions across operational, analytical, and AI use cases - Experience working with modern data platforms (cloud data warehouses/lakehouses, ETL/ELT pipelines, BI tools) Nice to Have - Experience working within a formal Data Governance organization - Familiarity with data observability, anomaly detection, and data drift concepts - Experience supporting AI/ML or advanced analytics use cases - Background in regulated industries Why This Role - Own and evolve an enterprise data quality capability powered by Monte Carlo - Influence how data is trusted across reporting, analytics, and AI - Operate within a mature Data Governance function with executive sponsorship - Combine product ownership, platform leadership, and team management   qualifications: We are seeking a Data Quality Engineering and Operations Manager to lead the design, delivery, and operation of enterprise data quality capabilities across operational systems, analytics platforms, and AI pipelines. This role sits within the Data Governance function and owns data quality as a product-ensuring data is accurate, complete, timely, and trusted wherever it is used. You will own the data quality roadmap and backlog, manage a team of Data Quality Engineers, and leverage Monte Carlo as a core data observability and quality monitoring platform to detect, prioritize, and resolve data quality issues at scale Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

job summary: This is an incredible opportunity to join a high-impact team of Data Scientists and Engineers dedicated to unleashing the full potential of clinical data assets. You will act as a vital bridge between complex technical datasets and executive decision-making, utilizing advanced analytics to ensure protocol compliance and patient safety across major therapeutic areas like Oncology and Neurology. Based out of a state-of-the-art global research facility known for its commitment to patient-centric innovation and cutting-edge pharmaceutical development, this role offers a dynamic environment where your storytelling and analytical skills directly influence the success of Phase II and III clinical trials. You will step into a fast-paced, matrixed organization that prioritizes data visibility through sophisticated dashboards and Risk-Based Quality Management (RBQM) activities. As a key consultant for cross-functional stakeholders, you will help decrease current workloads by managing a robust portfolio of studies, translating raw data into actionable business requirements. With a strong potential for conversion and a culture that fosters entrepreneurial thinking, this role is perfect for a professional who thrives on variety and wants to be at the forefront of the digital transformation in clinical research.   location: Telecommute job type: Contract salary: $70.00 - 78.21 per hour work hours: 9 to 5 education: Bachelors   responsibilities: Study Management: Manage and execute the analytical needs for a portfolio of 13-15 clinical trials simultaneously, ensuring therapeutic alignment and data integrity. Stakeholder Consultancy: Partner with cross-functional teams to gather user requirements, translating complex analytical findings into layman's terms for business stakeholders. RBQM Implementation: Support the creation of Risk-Based Quality Management deliverables, including Key Risk Indicators (KRIs) and Quality Tolerance Limits (QTLs). Advanced Visualization: Design and deploy high-fidelity dashboards and visual analytics to enable real-time data review and study-specific reporting. Algorithm Development: Develop prototypes, test methods, and algorithms using R or Python to provide insights into clinical development processes. Regulatory Compliance: Ensure all analytical work products adhere to GCP, ICH Guidelines, and federal regulations throughout the trial lifecycle. Process Innovation: Identify use cases for Machine Learning (ML) and Artificial Intelligence (AI) to drive innovation in data-driven insights.  qualifications: Required Skills Bachelor's degree in Statistics, Analytics, Bioinformatics, Data Science, or a related field. Minimum of 3 years of analytics-related experience specifically within clinical research and the pharmaceutical industry (non-academic). Proven proficiency in R programming for statistical analysis. Expert-level experience with data visualization tools such as Spotfire, Tableau, or Power BI. Direct experience with Phase II and III clinical trials and clinical data datasets. Experience performing Risk-Based Quality Management (RBQM) or Risk-Based Monitoring (RBM) activities. Strong background in stakeholder management and gathering technical requirements in a matrixed organization. Preferred Skills Master's degree in a quantitative or scientific field. Advanced proficiency in Python or other statistical packages. Working knowledge of Machine Learning (ML) and Artificial Intelligence (AI) applications. Familiarity with Phase I and IV clinical trial processes. Demonstrated leadership competencies and ability to manage multiple high-priority projects in a fast-paced environment. #LI-ST1   skills: Data Analysis, R Language Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

job summary: Step into a high-impact role where your expertise in advanced analytics directly influences the trajectory of clinical development. You will act as an internal consultant, bridging the gap between complex data science and real-world clinical applications to optimize how life-saving trials are executed. This role offers the chance to pioneer the use of agentic frameworks and generative AI in a highly regulated, innovative environment. You will be joining a team located at a sprawling, state-of-the-art global headquarters in Lake County, known for its collaborative research hubs and commitment to cutting-edge medical advancement. Whether working hybrid or remote, you will be part of an elite group dedicated to turning raw clinical data into actionable insights that improve patient outcomes.   location: Telecommute job type: Contract salary: $52.00 - 59.19 per hour work hours: 9 to 5 education: Masters   responsibilities: Design and develop prototypes, test methods, and algorithms using advanced ML and NLP to create insights across the clinical development continuum. Lead the integration of agentic frameworks, such as LangGraph and OpenAI agents, to orchestrate tool-use and optimize retrieval pipelines (RAG). Collaborate with cross-functional teams as a lead analytics consultant to design work products and identify emerging risks in clinical trials. Establish design principles and standards to ensure analytical consistency and optimized user experiences across global projects. Support the creation of standard KPIs, reports, and predictive models to evaluate trial progress and validate business assumptions. Ensure all analytical outputs strictly adhere to GCP, ICH Guidelines, and federal regulations regarding clinical development. Mentor junior team members on emerging statistical methodologies and best practices in data science.  qualifications: Required Skills: Master's degree or PhD in a quantitative field. 3-5 years of analytics-related experience specifically within clinical research. Advanced proficiency in R and Python (or comparable statistical packages). Expert-level experience with Machine Learning (ML) and Natural Language Processing (NLP). Minimum 1 year of hands-on experience with agentic frameworks (LangGraph, OpenAI agents), LLMs, vector databases, and RAG pipelines. Preferred Skills: Prior experience specifically with clinical trial data sets. Experience with precision medicine analytics. Strong familiarity with orchestration and tool-use within AI frameworks. #LI-BM1   skills: R Language, SOP Development, Good Clinical Practice (GCP), International Council for Harmonization (ICH) Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.