241 Data Analysis jobs in Seattle

SystImmune is a biotech company dedicated to developing innovative therapies for various diseases. We are seeking an experienced Machine Learning Scientist with expertise in data mining to join our team. The successful candidate will play a key role in analyzing pre-clinical and/or clinical data to uncover new protein targets and identify potential drug optimization opportunities for immunotherapy in cancers and other diseases. We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. Responsibilities: Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations. Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases. Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams. Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals. Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations. Requirements: Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field. 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as TensorFlow, or PyTorch. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Domain Knowledge: Strong understanding of clinical trial design, biostatistics, and immunotherapy principles. Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Nice to Have: Familiarity with containerization using Docker. Knowledge of data security and compliance regulations such as HIPAA. Experience with agile development methodologies and version control systems such as Git. Company Culture: At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the diversity of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply. About Our Team: Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you. What to Expect: As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career. Compensation and Benefits: The expected base salary range for this position is $100,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. #J-18808-Ljbffr

Technology has revolutionized how we approach job hunting, and this book streamlines the process into a fast, efficient system that works. Instead of relying on outdated advice, The 2-Hour Job Search focuses on strategies that deliver real results in less time. Job title: Machine Learning Frontier Scientist, Data Mining Company: Systimmune Job description : SystImmune is a biotech company dedicated to developing innovative therapies for various diseases. We are seeking an experienced Machine Learning Scientist with expertise in data mining to join our team. The successful candidate will play a key role in analyzing pre-clinical and/or clinical data to uncover new protein targets and identify potential drug optimization opportunities for immunotherapy in cancers and other diseases.We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. Responsibilities: Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations. Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization. Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases. Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams. Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals. Communication: Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations. Requirements: Master’s or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field. 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis. Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as TensorFlow, or PyTorch. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Domain Knowledge: Strong understanding of clinical trial design, biostatistics, and immunotherapy principles. Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Nice to Have: Familiarity with containerization using Docker. Knowledge of data security and compliance regulations such as HIPAA. Experience with agile development methodologies and version control systems such as Git. Company Culture: At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the diversity of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply. About Our Team: Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you. What to Expect: As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career. Compensation and Benefits: The expected base salary range for this position is $100,000 – $80,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role.SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.Powered by JazzHR Expected salary : $1000 18000 per year Location : Redmond, WA Job date : Sun, 29 Jun 2025 04:42:04 GMT Apply for this job now! Explore career opportunities and trends in the tech industry with Tech Careers. From job tips to industry insights, stay informed about how to advance your tech career. Read the latest articles here at Techcratic. Your email address will not be published. Required fields are marked * #J-18808-Ljbffr

• Own supply chain analytics projects from inception to completion, demonstrating initiative and ownership.
• Investigate and resolve complex supply chain issues, applying your analytical prowess and problem-solving skills.
• Analyze extensive datasets using Excel, SQL, and Power BI to uncover actionable insights.
• Monitor, manage, and enhance key performance indicators (KPIs) to align with organizational objectives.
• Collaborate with cross-functional teams to optimize planning, support cumulative planning, and improve information flow.
• Drive issue resolution with a results-oriented approach and a commitment to accountability.

• Bachelor's degree in Supply Chain, Business, Analytics, or a related field.
• 2+ years of experience in data analysis, preferably within a supply chain context.
• Proven ability to work independently and manage projects effectively.
• Advanced Excel skills (pivot tables, complex formulas, data visualization).
• Working knowledge of SQL for data querying and manipulation.
• Experience creating and maintaining Power BI dashboards.

• Direct experience in supply chain operations.
• Familiarity with supply chain processes, including planning vs. actualization and cumulative planning.

The main focus is on creating insights and reporting using Power BI based on existing data sources. Candidates will be expected to build Power BI reports and generate insights throughout the year. location: Redmond, Washington job type: Contract sala Analyst, Business, Intelligence, Staffing, Technology

This is a 5+ month contract with possible extension up to 18 months. This is a hybrid position requiring 1 day a week onsite in Redmond, WA. Join a leading technology company as a Business Intelligence Analyst and make a direct impact on supply chain operations. This role offers an opportunity to leverage your analytical skills to optimize processes, solve complex challenges, and drive improvements. You will play a key role in ensuring efficient supply and demand matching, contributing to the seamless operation of a global tech organization. Partner with Aquent to explore this exciting opportunity! As a Business Intelligence Analyst, you will focus on supply chain optimization, particularly in power planning and resource allocation. You will analyze data, identify shortages and surpluses, and develop solutions to maintain balance. This role suits a data-driven individual who thrives in a fast-paced, collaborative environment. Responsibilities: Manage supply chain analytics projects from start to finish, demonstrating initiative and ownership. Investigate and resolve complex supply chain issues using analytical and problem-solving skills. Analyze large datasets with Excel, SQL, and Power BI to derive insights. Monitor and improve KPIs to meet organizational goals. Collaborate with cross-functional teams to optimize planning and improve information flow. Drive issue resolution with a results-oriented and accountable approach. Must-Have Qualifications: Bachelor’s degree in Supply Chain, Business, Analytics, or related field. At least 2 years of experience in data analysis, preferably in supply chain. Ability to work independently and manage projects effectively. Advanced Excel skills (pivot tables, formulas, data visualization). Knowledge of SQL for data querying and manipulation. Experience creating and maintaining Power BI dashboards. Nice-to-Have Qualifications: Experience in supply chain operations. Familiarity with supply chain processes like planning vs. actualization and cumulative planning. The targeted hourly compensation range is $40 to $45, based on education, experience, certifications, and location. About Aquent Talent: Aquent Talent connects top talent in marketing, creative, and design with leading brands. Our eligible talent access benefits like subsidized health, vision, dental, paid sick leave, retirement plans with matching, and free online training through Aquent Gymnasium. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. We value diversity and inclusion, fostering an environment where everyone can contribute, grow, and thrive. Client Description Join a global technology leader committed to innovation and empowering people and organizations worldwide. Collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture emphasizes growth, inclusion, and purpose—where your ideas are valued and your work makes a difference. With flexible work options and a supportive environment, you’ll have the tools to succeed both personally and professionally. Be part of something meaningful. Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics. #J-18808-Ljbffr

We are looking for a Business Intelligence Analyst to perform the following job duties. Requirements Development and Enhancement of Data Analytics Platforms : Job Duty: Consulting on and designing predictive models, data analytics pipelines, and data-driven platforms to support decision-making for financial, operational, and marketing insights. Creating machine learning models, predictive algorithms, and data visualization dashboards using Python, R, and SQL. Utilizing big data frameworks like Spark and Hadoop for data processing. Implementing ETL processes and maintaining data pipelines on Azure Data Factory and Databricks. Building cloud-based solutions on Azure for large-scale data analysis. Data Analysis, Business Intelligence, and Model Building Job Duty: Analyzing large datasets to extract meaningful insights and patterns, supporting stakeholder decision-making with data-driven recommendations. Developing business intelligence dashboards, defining KPIs, and automating reports using Power BI and Azure Synapse. Conducting statistical analysis, A/B testing, and time series forecasting for business insights. Supporting data governance and data quality initiatives to ensure data integrity and compliance. Statistical Tools: Excel, Power BI, Jupyter Notebooks. Data Engineering and Data Management Job Duty: Building and maintaining data pipelines, ensuring data integrity, and optimizing data storage and retrieval on Azure. Setting up data infrastructure on Azure Data Lake Storage, Azure SQL Database, and Azure Synapse. Building ETL processes using Azure Data Factory and managing data warehouse architecture. Coordinating with engineering teams for data model optimization and data integration. Model Evaluation and Deployment Job Duty: Deploying models into production, monitoring performance, and iterating on model improvements. Deploying models using Azure Machine Learning services. Monitoring model performance, fine-tuning algorithms, and retraining models for accuracy. Collaborating with DevOps for continuous integration and continuous deployment (CI/CD) pipelines. Minimum Education: Bachelor’s degree in Computer Science, Information Systems, or Computer Information Systems, or equivalent combination of education and experience. About the Company Novateur Inc is an IT consulting company that puts its customers first. We offer a range of services designed to help businesses of all sizes get the most from their technology investments. Our team is made up of experienced and knowledgeable professionals who understand the importance of delivering high-quality solutions quickly and efficiently. Our mission is to help our customers succeed by providing tailored solutions that meet their unique needs. We strive to maintain the highest level of customer satisfaction, and our commitment to excellence is evident in everything we do. #J-18808-Ljbffr