SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. Role:As a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it. We have open roles on multiple teams including: - Emerging Products - focuses on 0-to-1 development of new offerings brought to market - Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud - Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices. Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.) Responsibilities: - Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. - Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products. - Research new types of fraud and develop new SentiLink products around identity verification. - Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering. - Write production-ready code that can be relied on for real-time decision making by our partners. - Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts. - Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access Requirements: - Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research - Strong foundation in machine learning, statistics, or applied data science - Experience with Python and common data science tools through coursework, research, internships, or personal projects - Demonstrated ability to analyze complex problems and build data-driven solutions - Strong communication skills and ability to explain technical ideas clearly - Interest in learning deeply about fraud, identity, and financial risk systems - Ability to write clean, maintainable code - Strong attention to detail and curiosity about real-world data problems - Candidates must be legally authorized to work in the United States and must live in the United States - Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems Salary Range:$120,000/year - $220,000/year + equity + benefits Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications. Perks: - Employer paid group health insurance for you and your dependents - 401(k) plan with employer match (or equivalent for non US-based roles) - Flexible paid time off - Regular company-wide in-person events - Home office stipend, and more! Corporate Values: - Follow Through - Deep Understanding - Whatever It Takes - Do Something Smart

Role Description This is a remote position based in Germany, and the employee’s home office will serve as their primary work location. The role includes travel throughout Germany and Europe for customer visits, installations, and training. RheoSense’s corporate headquarters is located in San Ramon, California, and the position will collaborate regularly with U.S.-based teams. This position will be hired through an Employer of Record (EOR) via Rippling. The EOR will serve as the legal employer in Germany and will administer payroll, statutory benefits, and employment compliance in accordance with all applicable German labor laws. Day-to-day work, responsibilities, and performance management will be directed by RheoSense, Inc. Your application will not be considered if you fail to meet the minimum qualifications listed below or do not submit a detailed cover letter and resume as required for the application screening process. Salary: €65,000–€80,000 base salary, plus eligibility for a performance-based bonus. The successful candidate’s starting base salary will be determined by permissible, non-discriminatory factors such as skills, experience, and geographic location. It is not typical for an individual to be hired at or near the top of the base range for this role. You are a scientifically driven, hands-on Application Scientist who thrives in a fast-paced instrumentation environment. You’re comfortable diagnosing issues on precision instruments, guiding customers through complex workflows, and translating scientific concepts into practical solutions. You collaborate seamlessly with internal teams and support business development efforts through technical expertise, demonstrations, and customer-focused insights. You bring professionalism, calmness under pressure, and a strong service-first mindset that ensures customer success. Job Responsibilities and Expectations - Provide scientific training, demonstrations, and workflow consultations for RheoSense instruments and software. - Translate viscosity, rheology, and microfluidic concepts into practical applications for customer workflows. - Guide customers in method development, data interpretation, and best practices for high-precision viscosity measurements. - Support customers both remotely and on site to ensure successful integration of RheoSense technologies. - Install, configure, and maintain RheoSense instruments at customer sites as needed. - Troubleshoot and resolve technical issues to ensure optimal instrument performance and minimal downtime. - Document service activities, customer interactions, and technical findings accurately and promptly. - Provide technical expertise during customer evaluations, demos, and discussions to support business development efforts. - Identify customer needs and communicate insights to sales, engineering, product development, and R&D teams. - Maintain a high level of professionalism and customer satisfaction during all field and remote interactions. - Travel throughout Germany and Europe as required. - Other duties as assigned. Qualifications - Master’s degree in a scientific or engineering discipline (e.g., Chemistry, Chemical Engineering, Materials Science, Mechanical Engineering, Biophysics); PhD highly desirable. - Hands-on experience with scientific instrumentation, analytical equipment, or laboratory measurement systems. - Demonstrated ability to translate scientific concepts into practical applications. - Technical aptitude for troubleshooting and resolving instrument or system issues. - Strong communication skills with the ability to explain complex concepts clearly. - Ability to work independently in a remote environment while collaborating with global teams. - Fluency in English; German proficiency strongly preferred. - Must reside in Germany and be able to travel domestically and within Europe. - Valid driver’s license. - Ability to lift, carry, or move equipment up to 40 lbs (18 kg). Preferred Qualifications - PhD in a relevant scientific or engineering discipline. - Experience with viscosity, rheology, microfluidics, or related technologies. - Prior applications scientist or customer-facing scientific support experience. - Hands-on experience with instrument installation, calibration, or field service. - Technical support experience for sales or business development. - Strong data analysis and scientific interpretation skills. - Proficiency in German; additional European languages are a plus. Physical Requirements - Ability to remain in a stationary position for extended periods while working at a computer, providing remote support, or participating in virtual meetings. - Ability to operate a computer, keyboard, mouse, and standard office equipment. - Ability to move within office and lab environments for instrument handling, installation, or collaboration. - Ability to lift, carry, or move equipment up to 40 lbs (18 kg) and perform hands-on tasks associated with instrument installation and field service work. - Ability to travel for onsite service visits, installations, and customer support across Germany and Europe. Closing Continuous Recruitment. We are accepting and reviewing all qualified applicants who meet the minimum requirements on an ongoing basis. Application Screening Process Applications will not be considered if minimum qualifications are not met or if a detailed cover letter and resume are not submitted. By submitting your application, you consent to the processing of your personal data for recruitment purposes in accordance with applicable data protection laws. Equal Opportunity Statement RheoSense welcomes applicants of all genders, backgrounds, and abilities. We value diversity and are committed to equal opportunity employment.

Role Description Wir begleiten Mediziner:innen durch ihre Promotion — von Methodik über Auswertung bis zur fertigen Dissertation. Unsere Klient:innen sind keine Studenten, sondern erwachsene Profis, die liefern müssen. Als Werkstudent:in arbeitest du direkt an realen Mandaten mit: - Statistische Auswertungen durchführen - Unterstützung bei der Methodendiskussion - Prüfung wissenschaftlicher Texte - Schrittweise Einarbeitung in eigenständige Klient:innen-Betreuung Das ist keine Kaffeekoch-Werkstudi-Stelle, sondern echte fachliche Verantwortung mit Senior-Backup. Qualifications - Immatrikuliert in Statistik, Psychologie (empirisch/quantitativ), Sozialwissenschaft (quant), Wirtschaftsmathematik, BWL mit Empirie-Schwerpunkt, Mathematik, Public Health (quantitativ) oder vergleichbar. - Bachelor ab dem 4. Semester oder im Master. - Frühere Semester nur bei klarem Stats-Tutor-Track. - Mindestens 12 Monate verbleibende Studienzeit. - Aktuelle Statistik-Praxis. - Erfahrung im Erklären von Methoden. - Strukturierte, methodische Arbeitsweise. - Eigenverantwortung und Verbindlichkeit. - Deutsch auf C2-Niveau. - Lust auf Privatwirtschaft, nicht auf Uni-Karriere. Requirements - Statistische Auswertungen in R, Python, SPSS und MAXQDA durchführen — unter Anleitung, mit wachsender Eigenständigkeit. - Methodenteile in Dissertationen auf Korrektheit und Klarheit prüfen. - Doktorand:innen einfache Methoden schriftlich und im Gespräch erklären. - Senior-Berater:innen bei komplexeren Mandaten zuarbeiten. - Eigene kleinere Mandate übernehmen, sobald du fachlich sicher bist. - KI- und Automatisierungstools einsetzen, um Auswertungen effizienter zu machen. Benefits - Vergütung: 25 € / Stunde — deutlich über dem üblichen Werkstudi-Niveau. - Arbeitszeit: 20 Stunden / Woche, flexibel mit dem Studienplan vereinbar. - Echte Aufgaben: Eigene Mandate, eigene Kund:innen, eigene Auswertungen. - Mentoring: Persönliche Einarbeitung durch Senior-Berater:innen. - Profi-Umfeld: MacBook, moderne Tools, KI-Stack. - Übergangs-Option: Übernahmeangebot in Festanstellung nach Studienabschluss. - Klare Strukturen: Max. 2–3 Personen pro Büro. Company Description Wir sind ein kleines Unternehmen mit hoher Schlagzahl und hoher Effizienz. Wir brauchen sorgfältige, einsatzbereite und mitdenkende Werkstudent:innen, die methodisch sauber arbeiten, lernen wollen und in einem wachsenden Unternehmen Verantwortung übernehmen.

Role Description The Program Evaluation, Education, and Research (PEAR) unit, within the Department of Undergraduate Medical Education (UME), is seeking a qualified candidate to serve as Data Manager. The PEAR unit provides a range of evaluation services within UME, which administers and oversees the four-year medical school curriculum for roughly four hundred students. Evaluation and related services include: - Administering end-of-course evaluations and longitudinal surveys. - Tracking students’ grades and performance on the USMLE licensing exams. - Producing an annual Location Report. The Data Manager will be tasked with: - Managing, administering, and reporting on end-of-course evaluations and/or other evaluation instruments. - Facilitating course review processes. - Collecting, cleaning, aggregating, analyzing, and reporting data for the Location Report. - Producing the Location Report in both printed and digital formats. - Distributing the Location Report to UNM stakeholders within UNM. - Presenting on evaluation findings, the Location Report, and/or associated processes. - Other duties as assigned. The successful candidate must have a demonstrated record of taking initiative and achieving desirable results on current and/or past work projects. The candidate should be motivated, tenacious, and organized; they must have the skills and abilities to manage multiple projects, tasks, and timelines concurrently. The candidate must be effective at working independently and collaborating with other team members as well as faculty, staff, and students within UNM, as well as representatives of other institutions as necessary. The candidate should be a critical thinker who can consider other people’s points of view with clarity and empathy, assess the costs and benefits of various approaches to problem-solving and interpersonal communications, identify stakeholder needs, and propose creative and flexible solutions to challenges. The candidate must have excellent spoken and written communication skills and a willingness to brief team members, the PEAR Director, administrators, and stakeholders regarding the status of various projects. The candidate must be detail-oriented and thorough in completing work tasks and willing to reflect on their actions to build on successes and learn from mistakes. Qualifications - High school diploma or GED; at least 6 years of experience directly related to the duties and responsibilities specified. - Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis. Requirements - Expertise in Microsoft Word, Excel, PowerPoint, and Access (and/or another relational database application). - Knowledge of and/or experience with graphics applications (e.g., Adobe Creative Cloud, Adobe Stock, Illustrator, Photoshop, InDesign, and Acrobat) is desired but not strictly required. - Familiarity with UNM’s Undergraduate Medical Education (UME) and Graduate Medical Education (GME) programs and curricula. - Familiarity with a physician’s training trajectory from UME to GME and into practice. - Experience using one45 or a comparable curriculum management system. Benefits - This is a benefits eligible position. - The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. - UNM offers educational benefits through the tuition remission and dependent education programs. Application Instructions Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application. Please attach 1) a cover letter and 2) an updated resume. Your cover letter (up to 500 words) should address each of the preferred qualifications listed on the job-posting summary. Finalists should also be prepared to provide official education transcripts if selected for hire. Applicants must be prepared to provide the names of three references (one should be current supervisor) that the hiring official can contact.