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

Title: Data Scientist Senior - Model Development Location: San Antonio, Texas; Charlotte, North Carolina; Colorado Springs, Colorado; Phoenix, Arizona; Plano, Texas; Tampa, Florida Type: Full-Time Job Description: Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Bank AI/ML team is looking to fill several Senior Data Science positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred. As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, growing the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: - Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. - Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. - Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. - Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. - Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. - Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. - Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. - Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. - Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. - Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. - Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. - Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. - Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. - Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: - Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. - 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. - 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. - 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. - Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). - Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. - Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. - Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. - Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. - Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. - Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. - Experience guiding and mentoring junior technical staff in business interactions and model building. - Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: - Medium or large bank experience. - Strong knowledge of Python and/or SAS. - Control partner collaboration experience. - Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

Title: Data Scientist Senior - Model Development Location: continental U.S Type: Full-Time Job Description: Job ID R0115804 Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Bank AI/ML team is looking to fill several Senior Data Science positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred. As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, growing the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: - Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. - Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. - Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. - Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. - Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. - Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. - Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. - Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. - Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. - Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. - Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. - Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. - Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. - Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: - Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. - 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. - 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. - 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. - Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). - Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. - Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. - Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. - Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. - Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. - Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. - Experience guiding and mentoring junior technical staff in business interactions and model building. - Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: - Medium or large bank experience. - Strong knowledge of Python and/or SAS. - Control partner collaboration experience. - Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.