This page tracks remote data scientist openings that are location-eligible for Minnesota.
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Celerion Can Take You from First-In-Human through Proof-of-Concept.
• Deliver comprehensive data management services across all study phases • Independently own assigned data management studies and deliverables from startup through database lock, proactively identifying risks, resolving issues, communicating status, and escalating when appropriate • Ensure clinical databases are complete, accurate, and compliant with Sponsor and regulatory standards • Serve as primary Sponsor contact for data management activities • Lead data management communications and coordinate with internal and external teams to ensure timely delivery of study milestones and progress updates • Train site staff (CRCs, CRAs, PIs) and client teams on EDC systems • Oversee CRF lifecycle from design to final delivery • Conduct User Acceptance Testing (UAT) and ensure database setup aligns with specifications • Develop and manage essential study documents (e.g., Data Management Plan, CRF Completion Guidelines, Validation Plans, SAE Reconciliation Plans) • Review and clean clinical data, manage queries, and reconcile third-party data • Coordinate database lock and final data delivery • Identify risks and proactively resolve project issues • Provide exceptional service to internal and external stakeholders
Chemistry is the key to drug discovery, but chemical data is stuck in the twentieth century. We’re generating precise chemical datasets purpose-built to propel drug discovery into the information age — and we’re doing it on a larger scale and faster than has ever before been possible. Terray Therapeutics is a biotechnology company led by pioneers and long-time leaders in artificial intelligence, synthetic (medicinal) chemistry, biology and preclinical development, automation, and nanotechnology. Chemical datasets generated using our novel ultra-dense microarray technology work seamlessly with our integrated machine learning and computational platform to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design. With a chemistry engine that measures billions of interactions daily and becomes increasingly precise with every cycle, we can answer an unprecedented array of questions — deriving insights that enable us to predictably create drugs for patients in need.
Role Description Terray Therapeutics is seeking a highly motivated and experienced in vivo scientist with expertise in models of autoimmunity and inflammation to join our Translational Biology team. In this role, the candidate will serve as a scientific and operational lead for outsourced in vivo pharmacology and nonclinical safety/toxicology studies, with responsibilities including study design, execution and monitoring, vendor oversight, project management and cross-functional coordination. The position will report to the Director of Translational Biology. - Provide scientific leadership and oversight for in vivo pharmacology studies focused on inflammation, autoimmunity, or related therapeutic areas in support of advancing our pipeline programs. - As the pharmacology representative, collaborate cross-functionally with preclinical teams, project leads, and external consultants to advance our pipeline programs through in vivo studies. - Lead and monitor outsourced in vivo pharmacology and nonclinical safety/toxicity studies conducted at CROs, ensuring scientific rigor, protocol compliance, data quality, and timely execution. - Contribute to study design, protocol development and review, endpoint selection and data interpretation. - Review study reports, datasets and summaries to ensure scientific accuracy and completeness. - Coordinate study timelines, logistics, milestones, budgets and deliverables across multiple external vendors and internal stakeholders. - Manage CRO relationships, including vendor selection, performance oversight, issue resolution and communication. - Maintain study documentation, ensuring compliance with regulatory requirements and company policies. - Present study updates and recommendations to project teams and leads. - Support contract management activities (scopes of work, purchase orders, invoice tracking). Qualifications - Ph.D. degree in biology, immunology, pharmacology, toxicology, or a related field. - 3+ years of experience in biotech or pharmaceutical industry supporting nonclinical drug development programs. - Strong scientific background in inflammation, immunology, or immune-related diseases. - Extensive experience with rodent in vivo pharmacology and translational disease models. - Strong scientific data analysis, interpretation, and problem-solving skills. - Strong understanding of nonclinical drug development workflow. - Experience managing or monitoring outsourced studies at CROs. - Demonstrated project management and organizational skills with the ability to manage multiple studies and priorities simultaneously. - Excellent written, verbal, and presentation skills. - Ability to work effectively in cross-functional teams and to thrive in a highly collaborative research environment. Requirements - Experience with vendor oversight, contract management, and budget tracking. - Experience supporting IND-enabling and preclinical development programs. - Knowledge of GLP and non-GLP study conduct and non-clinical assessment. - Familiarity with IACUC regulations and animal welfare standards. Benefits - Compensation: $120,000 – $175,000 annually, depending on experience. - Participation in the Company’s stock option plan. - 3% retirement safe harbor contribution. - Fully paid health, dental, vision insurance for employees, spouses, partners, and families. - Above-market life insurance and disability coverage. - Additional benefits to explore during the offer process.
• Build AI-assisted workflows and internal tooling • Prototype and productionize LLM-enabled applications • Develop scalable analytics and decision-support systems • Improve self-service data access safely and responsibly • Reduce operational burden through automation and intelligent systems • Help evolve internal governance and semantic consistency practices
Role Description Help support Auto and Home Actuarial team update Base Rate Offset tool into Python. This role requires strong Python skills as well as self-learning skills. - Contributes to the development and implementation of predictive analytics through the application of advanced statistical and analytical techniques in order to deliver data-driven insights supporting business objectives. - Uses appropriate modeling techniques to address business needs. - Utilizes broad knowledge of advanced modeling techniques and procedures to develop new modeling techniques and skills. - Conducts appropriate evaluation of model performance. - Designs and publishes reports to communicate results and track model performance. - Develops various programs including predictor and response variable programs. - Reviews programs to ensure they conform to quality standards. - Supports preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models. - Creates ad-hoc data analyses, as needed. - Communicates analytics to other modelers as well as to non-technical business partners. - Contributes to the continuous improvement of the modeling process. Qualifications - English Proficiency: Fluent (We work 100% in English) Requirements - Python - Advanced - SQL - Intermediate - Power BI - Intermediate - Excel - Intermediate Benefits - Competitive salary and performance-based bonuses - Comprehensive benefits package - Career development and training opportunities - Flexible work arrangements (remote) - Dynamic and inclusive work culture within a globally renowned group - Private Health and Dental Insurance - Pension Plan - Meals tickets - Life Insurance
Chemistry is the key to drug discovery, but chemical data is stuck in the twentieth century. We’re generating precise chemical datasets purpose-built to propel drug discovery into the information age — and we’re doing it on a larger scale and faster than has ever before been possible. Terray Therapeutics is a biotechnology company led by pioneers and long-time leaders in artificial intelligence, synthetic (medicinal) chemistry, biology and preclinical development, automation, and nanotechnology. Chemical datasets generated using our novel ultra-dense microarray technology work seamlessly with our integrated machine learning and computational platform to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design. With a chemistry engine that measures billions of interactions daily and becomes increasingly precise with every cycle, we can answer an unprecedented array of questions — deriving insights that enable us to predictably create drugs for patients in need.
Role Description Terray is currently seeking a motivated and creative senior associate data scientist. As an integral member of our Computational and Data Sciences (CDS) team, the candidate will be responsible for analyzing and visualizing data from our computational discovery platforms. - Collaborate with project teams in applying platform tools to identify and prioritize hits for follow-up synthesis, testing, and pipeline progression. - Work closely with computational and assay teams to perform hit validation analyses to evaluate how tArray platform binding profiles translate to off-platform assays. - Partner with screening teams to develop and refine target-specific screening strategies. Qualifications - BS/MS in Cheminformatics, Computational Chemistry, data science, or a related scientific discipline with a strong interest in programming and data-driven research. - Understanding of chemical structures, molecular properties, and compound profiling in the context of high-throughput screening and hit identification. - Working knowledge of Python for scientific data analysis, automation, and workflow support, including experience with libraries such as pandas, numpy, scipy, and matplotlib. - Strong expertise in SQL, including building and querying custom tables for internal workflows. - Strong problem-solving and data analysis skills with the ability to communicate scientific insights effectively. - Experience working with large, real-world scientific or laboratory datasets. - Familiarity with Linux environments and version control tools (e.g., Git). Requirements - Exposure to machine learning methods such as clustering, regression, or pattern recognition is a plus. - Exposure to cheminformatics or scientific software tools (e.g., RDKit, Spotfire, MOE, Schrodinger) is a plus. Benefits - Compensation: $120,000 – $182,000 annually, depending on experience. - Participation in the Company’s stock option plan. - 3% retirement safe harbor contribution. - Fully paid health, dental, and vision insurance for employees, spouses, partners, and families. - Above-market life insurance and disability coverage. - Additional benefits to explore during the offer process.
• Design and implement scalable batch and real-time data processing systems across large and complex datasets. • Build and optimize ETL and streaming data pipelines using modern GCP big data technologies. • Lead development decisions around model choices, data architecture, data modeling, pipeline orchestration, analytics infrastructure, and production systems. • Develop statistical models and analytics capabilities that support product intelligence and operational insights. • Design and maintain production-grade data workflows using technologies such as Airflow, Dataflow, PubSub, and PySpark. • Contribute across multiple areas of the data ecosystem, including data engineering, monitoring and governance, visualization, and analytics tooling. • Establish monitoring, observability, and governance practices for data quality, pipeline reliability, and production health. • Partner closely with Engineering to operationalize scalable data infrastructure and analytics systems. • Collaborate with Product to shape intelligent, data-driven product capabilities and user experiences. • Act as a technical leader and thought partner across data engineering, analytics, infrastructure, and applied modeling initiatives. • Help evolve internal tooling and frameworks that improve scalability, reliability, and operational efficiency across the platform.
Driving Customer Success Through Finance Transformation: Advanced Processes, Analytics, & AI.
• Design, develop, and deploy machine learning and predictive analytics models. • Analyze large and complex datasets to identify trends, insights, and business opportunities. • Build scalable data science solutions and optimize model performance. • Collaborate with data engineering and business teams to define project requirements and deliver analytical solutions. • Develop data pipelines, feature engineering processes, and model evaluation frameworks. • Implement AI/ML algorithms for forecasting, classification, recommendation, and automation use cases. • Present analytical findings and recommendations to technical and non-technical stakeholders. • Ensure data quality, governance, and compliance standards are maintained. • Mentor junior data scientists and support best practices across the team. • Stay updated with emerging technologies and advancements in Data Science and AI.
Role Description Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL, TN, GA, FL, TX, MO, SD, NC. Responsibilities - Ability to analyze complex data sets and create actionable insights - Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits - Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits - Prepares and analyzes data, including locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling - Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality - Performs validation and testing to confirm the accuracy of the information created - Interprets results of analyses, identifies trends and issues, and develops recommendations to support business objectives - Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided - Facilitates the design and development of product features - Interviews subject matter experts, customers, and other stakeholders to identify and clarify requirements - Establishes rapport with stakeholders and ensures that their questions and concerns are clearly documented - Presents on-time delivery of requirements and user stories/specifications - Supports the creation and maintenance of project documentation - Writes user stories and technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases, and specific workflows Qualifications - Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations - 2+ years of experience working in Data Science - Professional experience with, and more than a basic understanding of AI technology - Proficient in building process flow diagrams and data mapping - Experience with agile development and software development life cycle (SDLC) processes - Proficiency with SQL programming - Extensive experience working in a BI environment and familiarity with data warehouses - Extensive experience in gathering and documenting business requirements - Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps - Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results - Excellent written and verbal communication skills
NielsenIQ is an industry leader in data analytics and global measurement. The company delivers information to partners, retailers, and manufacturers through pow
Role Description As the Head of Measurement Science and Innovation, you will be the primary architect of modernizing our foundational survey-based datasets while maintaining the historical continuity and research quality our clients depend on. This is a high-impact, executive-level role that sits at the intersection of traditional research rigor and modern data science. You will lead a team of highly skilled scientists and researchers, with the goal of bridging the gap between legacy measures and a future-focused, integrated analytic ecosystem. - Strategic Leadership & Vision - Modernize Legacy Assets: Lead the strategic evolution of legacy-based datasets; balancing historical continuity with the need for modernized methodologies and market positioning. - Define Evolutionary Pathing: Establish clear roadmaps for recalibrating or re-architecting legacy methodologies while rigorously protecting client trust, trendability, and long-term credibility. - Integrate Data Ecosystems: Champion a vision where legacy data serves as a foundational component within a broader, integrated analytic ecosystem that includes census-level and behavioral data. - Strategic Decision Leadership: Serve as senior arbiter in resolving tensions between protecting historical benchmarks and pursuing methodological innovations. - Scientific Rigor & Innovation - Data Fusions & Integrations: Direct complex data integration projects that combine traditional survey data with first-party datasets, census-level data, and large-scale behavioral inputs. - Methodological Authority: Act as the organization’s primary authority on research rigor, overseeing standards for sampling, weighting, data linkage, and reproducibility. - Reconcile Complex Datasets: Develop robust frameworks to reconcile discrepancies in coverage, granularity, and timing between consumer surveys and large-scale administrative data. - Enforce Quality Standards: Establish and oversee best-in-class research protocols to ensure all analytic approaches are transparent, defensible, and appropriate for high-stakes decision making. - Product, Market and Business Alignment - Strategic Repositioning: Partner with product and commercial leaders to clarify the unique value of legacy datasets and identify where complementary data sources are required to meet client needs. - Commercial Methodology Alignment: Collaborate with senior stakeholders to ensure analytic strategies and methodological updates directly support core business objectives and market demands. - Change Management Frameworks: Establish communication protocols for methodological shifts, ensuring stakeholders understand the impact of updates on trends and benchmarks. - Client Advisory, Communication, and Thought Leadership - Trusted Technical Advisor: Act as senior consultant to internal teams and clients, translating complex statistical concepts into compelling narratives that inform strategy and forecasting. - Modernize Measurement Strategy: Advise clients on transitioning from reliance on legacy measures to adopting modern, integrated approaches to media measurement and research design. - Industry Influence: Serve as a thought leader on emerging challenges in data science and measurement. - Talent Development - Cultivate Expertise: Mentor and develop senior researchers and data scientists, fostering a culture of scientific rigor, curiosity, and continuous learning. Qualifications - 12+ years of experience in Data Science, Measurement Science, or Research Methods, with at least 5 years in a senior leadership position. - Proven track record of evolving legacy, survey-based products into modern integrated data assets without losing historic trendability or sacrificing data quality. - Direct expertise in: - Survey sampling design, weighting, and inference - Data fusion, record linkage, and multi-source data integration - Working with census-level and large-scale population datasets - Deep mastery of statistical methodologies, including sampling, weighting, and reconciliation of disparate data sources. - Ability to explain complex methodological concepts clearly to non-technical audiences, including clients, stakeholders, and executives. - Experience navigating the organizational and commercial tensions of modernizing “gold standard” legacy measures. - Advanced degree in quantitative field such as Statistics, Data Science, Economics, Social Sciences, or a related discipline. - Demonstrated success influencing stakeholders and gaining buy-in on methodological decisions in ambiguous or high-pressure environments. Requirements - This role has a market-competitive salary with an anticipated base compensation of the following range: $174,600 - $250,000. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. - This role might also be eligible for a sales-based incentive or performance-based bonus. Benefits - Comprehensive healthcare plan (medical, Rx, dental and vision). - Flexible spending accounts and Health Savings Account (including company contributions). - Life and AD&D insurance. - 401(k) retirement plan including company matching contributions. - Disability insurance. - Tuition Reimbursement. - Discretionary paid time off program and 11 paid holidays. - Flexible working environment. - Volunteer time off. - LinkedIn Learning. - Employee-Assistance-Program (EAP).
* By applying to this position, we’ll create your Simera Professional Key (SPK) — a unique key that helps you connect with employers, stand out, and secure the right match.
Role Description We are looking for a detail-oriented Data Entry Professional to accurately input and maintain data in our systems. The ideal candidate will have fast typing skills, excellent attention to detail, and the ability to handle confidential information. If you are organized, reliable, and have a keen eye for accuracy, we’d love to hear from you! Roles & Responsibilities - Input data from source documents accurately and efficiently. - Verify data accuracy by cross-checking information. - Maintain and update databases and records. - Identify and correct data discrepancies. - Organize and store documents digitally and securely. - Generate reports and retrieve data as requested. - Assist in data analysis and reporting tasks. - Maintain confidentiality of sensitive information. - Collaborate with team members to ensure data consistency. - Perform regular backups to secure data integrity. Requirements - Proven experience as a Data Entry Professional or similar role. - Excellent typing speed and accuracy. - Strong attention to detail and data accuracy. - Proficiency in Microsoft Office Suite (Excel, Word). - Familiarity with data entry software and databases. - Good organizational and time management skills. - High school diploma or equivalent is required. - Ability to handle confidential information with integrity. Benefits - By applying to this position, we’ll create your Simera Professional Key (SPK) — a unique key that helps you connect with employers, stand out, and secure the right match.
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Python, SQL, Google Cloud Platform, Excel, Cloud, Performance Optimization
