• Design, build, and maintain predictive machine learning models • Partner with GTM teams to design and analyze controlled experiments • Execute proactive, complex analytical deep dives to discover latent user behavior • Support the interpretation of Marketing Mix Modeling results • Define, instrument, and govern a unified Key Performance Indicator (KPI) framework • Translate complex statistical findings and model outputs into compelling business narratives • Work closely with Data Engineering to ensure data quality • Provide technical guidance to peers and stakeholders

Role Description We are seeking an experienced Data Scientist Senior to support enterprise analytics and reporting initiatives. This role will focus heavily on converting SQL stored procedures into Alteryx workflows and updating Tableau dashboards with new data sources. The ideal candidate will have strong expertise in SQL, ETL processes, Alteryx, Tableau, and advanced analytical methodologies. Location: Remote Duration: 6 months Key Responsibilities - Convert SQL stored procedures into scalable Alteryx workflows - Develop and enhance Tableau dashboards and reporting solutions - Work with large, complex data sets to solve business problems using statistical and analytical approaches - Design, build, and refine machine learning and predictive models - Source, cleanse, and prepare data for enterprise analytics initiatives - Support deployment and productionization of analytical models - Perform data validation, monitoring, and data drift analysis - Collaborate with stakeholders to deliver actionable insights and reporting solutions - Review and optimize code for efficiency, scalability, and best practices - Support compliance with organizational risk and regulatory standards Qualifications - Advanced SQL and ETL experience - Alteryx workflow development expertise - Tableau dashboard development experience - Experience with statistical analysis, predictive modeling, and machine learning techniques - Knowledge of SQL and NoSQL database technologies - Experience analyzing large and complex data sets - Strong analytical, communication, and problem-solving skills Requirements - Bachelor’s degree and minimum 5 years of related experience OR a combined minimum of 9 years of higher education and/or work experience including at least 5 years of related experience - Experience with statistical methodologies including A/B testing, hypothesis testing, and model bias evaluation - Experience working with cloud and on-premise hybrid data environments Preferred Qualifications - Master’s or PhD in Statistics, Economics, Finance, Computer Science, Engineering, or related quantitative field - Experience with econometric and statistical techniques such as logistic regression, time-series analysis, and panel data methods - Experience deploying enterprise-scale analytical and machine learning solutions - Financial services or regulated industry experience preferred - Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. To Apply To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Tana Stilloe at Tana.Stilloe@ctg.com . Kindly forward this to any other interested parties. Thank you! The expected base salary for this position ranges from $43.06 to $71.76/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

Role Description As the Senior Application Scientist, your primary role is to configure & support the implementation of Dotmatics Virscidian solutions in complex laboratory, scientific research, or scientific development environments. This role takes ownership of the implementation lifecycle — from project kickoff through go-live — ensuring that the scope of work and quotation commitments are delivered on time, on budget, and to the customer's scientific objectives. - Work closely with cross-functional teams such as project management teams, solution architects, product teams, and customers to understand their needs. - Analyze their data environment, assist in design and implementation of our solutions, and aid in integration with their data systems. - Responsible for demonstrations and training, technical support, and business development where appropriate. Working within our Professional Services team, the Senior Application Scientist will act as a partner to the customer to solve the challenging business needs of the customer with the Virscidian product suite. In this role you will get to: - Lead in discovery activities to identify key systems in scope (customer environment) for data integration. - Work alongside Principal Application Scientists & our customer to help identify optimal sourcing and integration strategy ensuring clarity of data requirements in complex laboratory settings. - Provide guidance and best practices on data sourcing for the creation of sustainable integrations and methods utilizing standard Data Ingestion technologies and architectural principles. - Configure, deploy, and validate application-specific workflows spanning laboratory automation, orchestration, data capture, and analytics within Virscidian. - Plan, coordinate, and supervise the integration of data from various sources. - Monitor the flow of data between databases, servers, and cloud services. - Identify and implement the best data integration (DI) architecture for the organization. - Conduct technical peer reviews and structured user acceptance testing (UAT) and sign-off processes to confirm that delivered solutions meet defined specifications. - Provide oversight and governance on projects where there are parallel activities. - Evaluate user requirements and provide estimates. - Train customers on how to use the configured solutions and deliver hands-on training to customer scientists and automation teams, ensuring effective adoption and long-term operational success. - Communicate and collaborate among cross-functional teams in a multinational environment (Project Managers, Developers, Architects). Qualifications - 8 years + experience deploying Scientific SaaS solutions into the life science industry/end user environments. - Master or PhD in Chemistry or Biology, with a preference in small molecule research. Requirements - Advanced experience in consulting customers (typical within the Scientific/Life Science community), with proven experience of SaaS Solution implementations. - Advanced understanding of the progression from manual to semi-automated to fully automated laboratory workflows. - Data integration: Planning, coordinating, and leading teams with the integration of data from various sources. - Ability to clearly document key business requirements. - Strong ability to focus on a data-first architecture and data scientist technology (Databricks, Snowflake) and data warehouse/lake technologies that support lab orchestration activities. - Experience with lab informatics software, building queries, web technologies, and knowledge of file transformations like CSV, XML, XLS, XLSX, and XSL. - In-depth user expertise in Oracle (SQL) as an enterprise tool. - Advanced knowledge of building and deploying APIs. - Delivering high-quality presentations and training, including the ability to present systems diagramming, UML (Universal Markup Language), and ERD (Entity Relationship Diagrams). - Ability to adjust communication style to speak to the audience with the ability to translate Scientific & Technical language into layman’s terms. Benefits - Dynamic, remote-friendly environment that fosters high integrity and collaboration. - Opportunity to join a collaborative, global team pushing the boundaries of scientific innovation. - Tangible impact on accelerating scientific progress and discovery.

Scientist - Human Tissue Science Center remote type Remote locations United States - Remote US - California - South San Francisco time type Full time job requisition id R-244145 Career Category Scientific Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Scientist - Human Tissue Science Center What you will do Let’s do this. Let’s change the world. Amgen is seeking a highly motivated individual to join the Human Tissue Science Center (HTSC), within Biospecimen Sciences / Precision Medicine. This position can be located Remote or Thousand Oaks, CA or South San Francisco, CA. In this vital role you will: - Design, execute, and manage complex human tissue studies in collaboration with Amgen internal teams, external vendors, and contract research organizations (CROs). - Ensure compliance with regulatory and ethical requirements related to human subject research, biospecimen collection, and associated data management. - Review clinical and biospecimen data to identify quality concerns related to specimens or associated clinical data, and drive resolution in partnership with sites, CROs, and management as needed. - Provide project-specific scientific and operational guidance to internal scientific staff and study teams. including alignment with current study objectives and future use requirements. - Author, review, and/or contribute to project-specific study design, biospecimen collection protocols, case report forms (CRFs), and SOPs. - Serve as a primary point of contact for key stakeholders, providing scientific direction, facilitating cross-functional support, and delivering technical expertise throughout the study and specimen lifecycle. - Proactively analyze issues and implement process improvements to enhance data quality, operational efficiency, and study execution. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications. Basic Qualifications: - Doctorate degree OR - Master’s degree and 2 years of directly related scientific experience OR - Bachelor’s degree and 4 years of directly related scientific experience Preferred Qualifications: - Degree in allied health, biological sciences, or life sciences. - Demonstrated experience in the management of human tissue studies, biospecimen operations, and/or clinical trials. - Proven ability to think critically, proactively anticipate challenges, and propose effective, results‑oriented solutions. - Strong capability to work collaboratively across functions, levels of management, and external partnerships, leveraging professional networks to motivate teams and enable cross‑functional collaboration. - Familiarity with medical and scientific terminology. - Prior knowledge or hands‑on experience in a histology, pathology, clinical laboratory, or research laboratory environment. - Demonstrated initiative, independence, adaptability, and willingness to learn, with the ability to embrace new challenges and maintain a strong commitment to quality. - Excellent interpersonal, verbal, and written communication skills, with the ability to convey complex information clearly to diverse audiences. - Highly detail‑oriented, proactive, and capable of working effectively both independently and in team‑based environments. - Proficiency with Microsoft Outlook, Excel, Word, SharePoint, and document management applications. - Familiarity with databases and data analysis or visualization tools such as StarLIMS, Concentriq, Smartsheet, Miro, Visio, Tableau, or similar platforms. - Strong organizational, time‑management, and project‑management skills, including the ability to prioritize work, plan and facilitate meetings, and track progress against action items. - Working knowledge of QA/QC, GxP, CAP, and CLIA regulatory frameworks. What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: - A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts - A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan - Stock-based long-term incentives - Award-winning time-off plans - Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Salary Range 117,640.00USD -159,160.00 USD