Trabajos data scientist en Knoxville, TennesseeCrear alertas

Experience with data wrangling, evaluating data quality, transforming and cleaning data as appropriate for analysis. Complete required data preparation, including data input with guidance. Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling te

Location: Remote Length: 24 months Duties/Responsibilities: • Leads and coordinates the management and execution of all clinical trial activities in compliance with GCP and relevant regulatory guidelines. May act as Clinical Operations Leader (COL), accountable for trial performance., • Detailed management and oversight of regional/global trial activities, as Accountable for achieving site activations and enrollment milestones in assigned region., • Coordinates cross-functional study clinical team activities to ensure deliverables are completed with high quality, within agreed timelines, and on budget through information-sharing, ongoing study team meetings/discussions and ensuring effective risk management plan, • Develops and manages detailed project and other trial-related plans and documentation and provides regular study status updates to senior management., • Reviews and contributes to the development of clinical trial synopses, protocols, amendments, Case Report Forms (CRFs), IRB/Ethics applications, and recruitment materials., • Creates and/or reviews and approves specific study documents, g., informed consent forms, study guidelines, operations manuals, training materials, study plans. Liaises with CRO and legal to provide language acceptable for IRB’s/EC’s., • Drives timely and efficient execution of site feasibility assessments in close collaboration with Clinical Development, Medical Affairs, and Clinical Operations colleagues, including evaluation of site capabilities, patient population access, investigator experience, and therapeutic area expertise, to inform site selection decisions and ensure alignment with study objectives and enrollment targets., • Collaborates with regional MSLs (if applicable) to support investigator engagement activities. May support organization of investigator engagement meetings or events at industry congresses/conferences., • Accountable for development of action plans to address protocol compliance, safety, data, and administrative issues with investigator sites., • Participates in risk-based quality management (RBQM) activities to ensure data integrity and patient safety., • Implements risk-based monitoring (RBM) and centralized monitoring strategies in collaboration with CROs as applicable. NOTE: This is not applicable for early phase trials., • Supports COL with planning, and may attend and present at investigator meetings, kick-off meetings, monitoring training, and various CRO (or other vendor) meetings., • May attend site visits for CRO oversight and/or investigator engagement. Vendor & Contract Research Organization (CRO) Management • Responsible for end to end vendor management from study planning to close-out, through regular review of study metrics, milestone tracking, and quality assessments to ensure contractual deliverables are met., • Applies critical thinking skills and trial management experience to actively engage with vendors, to ensure proactive risk management, timely and thorough issue resolution, protocol compliance and compliance with local regulations as applicable., • Reviews vendor Statements of Work/agreements and provides input from a site management/operational lead perspective. Data Review • Collaborates closely with Data Management and other functional areas, vendors, and the CRO to achieve database lock milestones during the project lifecycle., • May work collaboratively with Clinical Scientist, Clinical Development Lead, and clinical study team to ensure ongoing review of patient profiles and data listings. Inspection Readiness • Supports inspection readiness preparation and maintenance throughout the life cycle of the trial, including but not limited to ensuring Trial Master File documents are appropriately filed, and reconciled at end of the study. Qualifications/Requirements: • Minimum of 7+ years of clinical trial management experience within pharmaceutical / biotechnology industry, managing the logistics of clinical trial, • Minimum 2+ years of indirect/influence management of team members, including coaching and mentoring for knowledge sharing and enhanced communication and leadership skills, • Experience in rare disease and/or orphan indications is, • Experience managing global, large and/or early phase complex studies and project teams is required., • Demonstrated experience managing global CROs and other specialty vendors is, • Thorough understanding of the drug development process and clinical trial execution, including ICH/GCP requirements and local regulations., • Demonstrated strong leadership skills and the ability to work successfully in matrixed team environment, • Can work independently with minimal oversight and proactively initiates before asked to assist colleagues and/or manager, • Possess critical thinking skills for problem-solving, conflict resolution, collaboration, and interpretation, • Excellent written and oral communication skills, as well as conflict management, time management and organizational skill, • Bachelor's degree preferred in the life sciences, healthcare, or related field.

As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. At least 5 years of experience with applying modern statistical marketing models, Bayesian

Leadership in data science: experience leading cross-functional teams of data scientists, data engineers, and data or cost analysts, and defining a data strategy aligned to organizational goals. Knowledge and experience performing cost estimating and analysis on major defense systems, including typi

Your daily Impact as Data Scientist. As an AI Engineering team member, you will have the opportunity to leverage cutting-edge data science, machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. You will collaborate closely with data analysts, accou

Shopmonkey has the structured data and workflows to support serious data science work, and you'll have the rare opportunity to help build the analytical and ML foundation from the ground up, shaping how data-driven decision making scales alongside a maturing platform and defining what the future of

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rul

People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Experience applying data science to compensation, recruiting, or broader workforce and organizational questions, including work with legally sensitive data. We need a Data Scientist with a proven track rec

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcome

We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metr

Founding AI Scientist - Pathology Foundation Models Remote (Must be US Based) The Role You will lead the strategy and development of pathology foundation models, shaping how they are designed, trained, evaluated, and deployed into clinical and pharmaceutical applications. This is a highly cross-functional role spanning research and production. You will define how foundation models integrate with biological context, multimodal data, and downstream decision-making systems moving beyond isolated model improvements to building end-to-end, real-world solutions. As an early-stage hire, you will play a key role in shaping both the technical direction and the organisation itself. Required Experience • Strong publication record in machine learning, including multiple first-author papers at leading conferences or journals, • Deep understanding of modern ML architectures (e.g. transformers, attention mechanisms, state-space models, mixture-of-experts), • Experience working with GPU clusters and large-scale ML infrastructure (e.g. Kubernetes, SLURM, or similar), • Solid software engineering skills and ability to build production-grade systems, • Excellent communication skills, with the ability to convey complex ideas to both technical and scientific audiences Preferred Background • Experience in oncology, cancer biology, or drug development, • Exposure to biomedical or healthcare foundation models, • Experience with multimodal and cross-modal learning systems, • Familiarity with healthcare regulatory frameworks (e.g. FDA, HIPAA), • Contributions to open-source ML ecosystems, • Experience working with distributed or community-driven research groups, • Previous experience in a startup or early-stage environment To apply please reach out to Sam Shinner at Discover International

Senior Bioinformatics Scientist ( ctDNA ), San Diego, CA / Remote (US) - $150,000 - $180,000 Are you passionate about advancing cancer diagnostics through cutting-edge bioinformatics and testing? Our client, an innovative biotechnology company focused on molecular diagnostics, is seeking a Senior Bioinformatics Scientist to lead the development of next-generation laboratory-developed tests in a highly collaborative and regulated environment. Who you are: • PhD in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a related quantitative field (or MS plus additional industry experience)., • 6+ years of experience in biotech, diagnostics, or regulated healthcare environments., • Hands-on experience developing NGS-based clinical assays, including ctDNA and MRD applications are a must., • Strong Python programming skills with experience building production-grade bioinformatics pipelines and following SDLC best practices., • Proven success working within CAP/CLIA, IVD, FDA, or similarly regulated development environments. What you'll do: • Lead bioinformatics strategy, development, optimization, and validation efforts for MRD diagnostic assays., • Design and execute analytical studies evaluating assay performance, including sensitivity, accuracy, reproducibility, and limit of detection., • Develop and maintain scalable bioinformatics pipelines for QC, variant calling, MRD detection, and reporting., • Collaborate with assay development, clinical, quality, regulatory, software, and data science teams to deliver validated solutions., • Mentor junior scientists and contribute to technical documentation, audits, and regulatory submissions. What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and education. The expected range for this role is $150,000-$180,000 per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience. What's next? Please email your resume to if you're excited to explore this opportunity with our client. We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!

Global Talent Search 2027 | Early and Mid-Career Research Talent We are seeking outstanding early- and mid-career researchers worldwide for international research and innovation opportunities. We collaborate with leading universities, research institutions, and innovative enterprises to connect emerging research talent with opportunities in scientific research, technological innovation, and long-term career development. Priority Research Areas Artificial Intelligence | Advanced Manufacturing | New Materials | Biotechnology & Pharmaceuticals | New Energy | Electric Vehicles | Data Science | Life Sciences | Environmental Science | Digital Economy | Strategic Technologies Who We Are Looking For We welcome PhD-qualified applicants at the following career stages: • Postdoctoral Researchers: PhD graduates currently undertaking postdoctoral research, with relevant expertise and demonstrated research potential., • Industry R&D Experts: Researchers with experience conducting independent research and a record of academic or applied research achievements., • Associate Professors and Above: Academics at the Associate Professor level or higher, with experience in research, teaching, or both. Applicants from universities may hold research-focused, teaching-focused, or combined appointments. Applicants from industry must hold a Scientist I position or above. Requirements: • A PhD degree in a relevant scientific, engineering, or technology discipline, • At least three years of research experience in an academic or industry setting, • A strong research track record, demonstrated through publications, patents, or other relevant achievements, • An interest in independent research and international collaboration Opportunities Selected candidates may have opportunities to: • Develop independent research directions, • Lead or participate in research and innovation projects, • Work with established research teams and leading institutions, • Engage in international academic and industry collaboration, • Explore long-term academic or industry career opportunities Attractive Compensation & Funding Competitive employment packages may include: • Annual Salary: Approximately USD 70,000 – USD 285,000+, depending on qualifications, experience, discipline, and host institution., • Government Talent Award: Eligible candidates may receive talent award up to USD 570,000, and housing support up to USD 240,000, • Outstanding researchers may also become eligible for additional research funding of up to USD 715,000. Additional support may include housing assistance, family-related support, and other applicable benefits, depending on the specific opportunity and candidate profile. If you are an early- or mid-career researcher looking to advance your research and explore new opportunities, we welcome you to connect with us. How to Apply Please send your CV and a brief summary of your research interests to . #Research #Innovation #GlobalTalent #PhD #Postdoc #EarlyCareerResearcher #RAndD #AI #Biotechnology #NewMaterials #NewEnergy

Data Analyst / Data Scientist (Utility Analytics). Analyze large utility datasets—including AMI usage, Customer Care & Billing (CC&B), and customer engagement data—to identify trends, patterns, anomalies, and quality issues. Utility Industry & AMI Data (MUST-HAVE):.

We are seeking an experienced AI Data Scientist to join Deltek’s growing AI Center of Excellence team to design, build, evaluate, and optimize enterprise AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), multimodal AI, Opensource AI Models, and

We're hiring a Remote Data Scientist for a fast-growing, well-funded fintech company. This is a hands-on, non-client-facing seat on a small data team - you'll apply Python, SQL, and applied statistics/ML to real product and risk questions, working closely with engineers and analysts, and presenting

Position: Data Scientist | AI & ML Analyst. Data Scientist | AI & Machine Learning. Data Scientist | AI & Machine Learning.

We're looking for a Junior Data Scientist to join a growing analytics team focused on building data-driven solutions and improving business performance through modern technologies. Collaborate with technical and non-technical teams to translate business needs into data solutions. Interest in AI-enab

Our client, a major legal company, is actively looking for a Senior Data Scientist to join their team! This is a fully remote position, however candidates must be located in the US and able to work EST hours. We are seeking a Data Scientist to develop and evaluate AI solutions for legal content work

Data Scientists and Quantitative Professionals. Assess data analysis, experimentation approaches, and data modeling techniques. Python, statistics, machine learning, and data analysis.

Leverage Verasight’s data pipelines and processing procedures to own the data collection and quality process from end to end, including: building contact lists and sampling frames, monitoring survey fielding, cleaning and analyzing survey response data, writing methodology documentation, and prepa

Description Remote Our client seeks a Principal Data Scientist to scale Data Science and AI capabilities for end-to-end payment optimization. The role will collaborate with ML engineers and product partners to design and deploy real-time models and intelligent decision engines, drive strategy and roadmaps, lead cross-functional initiatives, and mentor senior data science talent. The position balances strategic leadership with hands-on contribution across architecture, design reviews, code reviews, and select implementation to deliver production-grade ML solutions. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $85.00 to $95.00/hr. w2 Responsibilities • Define technical vision and strategy for data-driven product initiatives focused on payment optimization, aligned to business goals., • Develop scalable and reusable capabilities for real-time ML models including classification, ranking, optimization, rapid experimentation, and continuous monitoring., • Oversee and contribute to conceptualization, development, deployment, operation, validation, and maintenance of ML models and update systems., • Establish and enforce best practices for ML modeling while evaluating and adopting modern tools, frameworks, and infrastructure., • Foster a culture of innovation, experimentation, and collaboration while mentoring an elite team of data scientists., • Partner with product, engineering, data, and compliance teams to integrate ML into products and communicate complex concepts to varied audiences., • Collaborate with Data Science leaders to establish an operating model for ML R&D that optimizes end-to-end delivery of business value. Experience Requirements • Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field. PhD preferred., • 7+ years in ML research or engineering with 5+ years building large-scale, real-time ML systems in production, including hands-on experience., • Expertise in machine learning, statistical modeling, and data analysis with strong experience across the ML lifecycle and experimentation., • Proficiency in Python (Pandas, NumPy, scikit-learn) and strong SQL experience. NoSQL or graph databases are a plus., • Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions., • Exceptional communication skills with the ability to influence and collaborate across technical and business audiences, including executives., • Bonus: Experience in payments, fintech, or financial services. Knowledge of payment systems such as authorization lifecycle, tokenization, fraud and risk, and real-time payments. Experience with cloud platforms including AWS, GCP, Snowflake, Databricks, or Vertex AI. Agile development experience. Background in large companies, mature ML teams, or regulated industries. Education Requirements • Bachelor’s or master’s degree in a relevant field. PhD preferred.

They’re hiring a Principal Data Scientist to be the hands-on technical lead for the team that turns this data into statistical methods and machine learning models. Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data). You’ll guide the work of several data scientists, w

Field targeting-related data requests from PC and RevOps through the data team's PC request process. Data Engineering and Company engineering build and own pipelines, APIs, serving infrastructure, and every data share with PC. You lead the data science side end to end: requirements, feature definiti

As Scientist / Lead, Translational Data Platforms, you will play a pivotal role in shaping how researchers interact with complex clinical and multi-omic datasets, influencing platform strategy, developing innovative analytical capabilities, and helping build technologies that enable the next generat

We are seeking a Data Scientist, Associate to build RoboStrategy’s data capability from the ground up. Join the team at RoboStrategy as Data Scientist, Associate. Bring together shareholder records, 13F filings, DTC position reports and allocator databases into a single view connected to our CRM,

Data Scientist (Live Anywhere). Perform Exploratory Data Analysis (EDA). Proven track record of deploying models and data pipelines in cloud environments, preferably on GCP or other cloud platforms.

Perform deep EDA, data profiling, and quality audits to ensure model-ready data standards. Data Analysis & Pipeline Ownership. Identify, collect, clean, validate, and transform all data required for prediction model consumption.

You will work as a forward deployed data scientist: embedded with enterprise clients, turning ambiguous business problems into working analytical and AI solutions, and staying with the work until it runs in their environment. Strong practical data science skills, including working with messy enterpr

Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering. Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team. Lead end-to-end development of data science projects, includ

Title: Data Scientist Location: Remote US Duration:12 months Compensation: $55-75/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. No sponsorship available ABOUT THIS FEATURED OPPORTUNITY We are seeking a proactive, technically strong Data Scientist to support a Scaled Operations organization focused on global vendor operations, including content moderation, workforce planning, and operational performance. This role will work across both Data Science and Data Engineering, with a focus on analyzing operational data, developing performance benchmarks, maintaining dashboards, and troubleshooting vendor-facing data challenges. A key area of focus will be processes surrounding Average Handling Time (AHT); analyzing how long specific vendor tasks should take, working with the underlying data and dashboards, partnering with vendor stakeholders, and establishing and publishing updated benchmarks. THE OPPORTUNITY FOR YOU In this role, you will: • Analyze operational datasets to identify trends, performance gaps, anomalies, and opportunities for improvement., • Support measurement and benchmarking initiatives, including AHT and task-level performance benchmarks., • Build, maintain, and analyze dashboards used to monitor vendor and operational performance., • Partner with vendor managers and cross-functional stakeholders to translate operational questions into data-driven insights and recommendations., • Establish, validate, and publish new operational benchmarks., • Troubleshoot vendor-facing data challenges, including missing or inconsistent data, system discrepancies, permissions/access issues, and potential bugs., • Support data engineering needs related to vendor data and operational reporting., • Proactively identify additional issues, risks, and opportunities and independently drive work toward resolution., • Leverage AI-enabled tools where appropriate while maintaining strong analytical judgment and understanding of the underlying data. KEY SUCCESS FACTORS • 3-5+ years of relevant industry experience in Data Science, Data Analytics, Analytics Engineering, Data Engineering, or a related field., • Strong SQL and data analysis skills, including independently querying, manipulating, validating, and troubleshooting complex datasets., • Dashboarding and operational measurement experience, including analyzing performance metrics and developing data-driven benchmarks., • Working knowledge of data engineering concepts, with the ability to investigate missing or inconsistent data, permissions/access challenges, discrepancies, and potential bugs., • Highly proactive, curious, and independent problem solver who can take an ambiguous request, determine what needs to be investigated, uncover additional problems or opportunities, and drive work forward with limited direction. NICE TO HAVES • Experience supporting scaled operations, vendor operations, workforce planning, content moderation, or other large-scale operational environments., • Experience partnering directly with vendor managers or external-facing operational teams., • Experience working in an environment where Data Science, Analytics, and Data Engineering responsibilities overlap., • Experience using AI-enabled tools to improve analytical workflows while maintaining independent reasoning and validation., • Experience within a large, complex technology or product organization. About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about . INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact for assistance. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

ML Scientist, Statistical Modeling, Predictive Modeling, Paneling, Normalization, Cohorting, Causal Inference, Synthetic Control, Uplift Modeling, Transaction Data, Behavioral Modeling, Forecasting, Representation Learning, Privacy Preserving ML, Cleanrooms, Production ML Pipelines. Principal Data S

Working closely with Marketing, Product, Finance, and Technology, the Senior Data Scientist transforms complex data into actionable insights that improve business performance in a highly competitive telecommunications environment. The Senior Data Scientist, Advanced Analytics, develops machine learn

You’ll join our Data team, report to our Head of Data, and help shape how data science is used across the company. Skool is hiring its first ever Data Scientist. Own data science work across growth, product, and user engagement, from analysis through measured results.

Location: Las Vegas, Nevada Title: Environmental Scientist/Chemical Data Validator II Schedule (FT/PT): Regular Full Time Travel Required: No Government Clearance: Ability to Obtain North Wind Site Services is comprised of scientists and technical experts focused on providing program management

North Wind Group is seeking an Environmental Scientist/Chemical Data Validator I to review subcontracted laboratory data and ensure compliance with EPA, DOE, and DoD guidelines. The role focuses on data quality, QA/QC, and accurate reporting in a remote United States setting.

Prepare comprehensive written data validation reports and checklists with findings, including application of relevant data qualifications to affected data sets. Title: Environmental Scientist/Chemical Data Validator I. Title: Environmental Scientist/Chemical Data Validator I.

Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models. Additional incentives data is based on payments made in the past six months and is updated quarterly.

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models. Additional incentives data is based on payments made in the past six months and is updated quarterly.

Project Manager – Asphalt & Concrete.For 50 years, Byrne & Jones Construction has been a trusted leader across the Midwest, specializing in asphalt, concrete, sports facilities, microsurfacing, stabilization, park development, and design.Founded on the principles of integrity, quality, and excelle

Experience coordinating cross-functional teams involving software development, infrastructure, data, analytics, finance, and third-party vendors.

Dominion Group is a vertically integrated, multi-discipline real estate investment firm focused on developing, acquiring and operating generational real estate assets in the conventional multi-family housing, affordable housing and seniors housing sectors.We deliver superior value and returns to our

Senior Project Manager, RELEX Implementation.Location: Nashville, TN (100% On-site).Engagement Type: Contract-to-Hire.The Intersect Group is partnering with a leading retail organization that serves millions of customers through an extensive national store network and highly sophisticated supply cha