Title: Senior Scientist Location: Allentown, PA Job Description: What we offer Explore a world of opportunities with us. Look ahead with us and help shape innovative solutions to make our world more sustainable and life healthier, more vibrant and more comfortable. At Evonik, you have the chance to explore, thrive, and grow alongside 33,000 colleagues. Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork. Bring your fresh perspective, develop your strengths, break out your mold, and find a career that fits your dreams with us. Click on the link below to learn what our employees have to say about Evonik: https://careers.evonik.com/en/about/meet-the-team/ Provide technical service and product technical support to Coatings Additives distributors, sales and customers, including supporting joint technical visits with sales and distributors to local customers in the US and Canada. Ensure long term business growth by demonstrating technical service competencies and bringing innovation to customers as well as to local distributors. Identify, design and develop technical projects, built over a global base, in order to satisfy the defined market needs. Manage, plan and execute laboratory work for customer projects, application development projects and product development programs to support product and market development strategies to drive the CAD business in the Transportation / Leather / Plastic coatings segment. Optimize the use of laboratory resources, assigned by the BL CAD and maintain raw material’s inventory list, according to project requirements and aligned with ESHQ. Support laboratory safety programs and initiatives. RESPONSIBILITIES - Support Global Industry and Market Teams by independently performing a broad range of activities – experiments, tests and laboratory processes and procedures – requiring specialized knowledge of formulating techniques, spray application, and raw material product information to test products in coating formulations supplied by customers or raw material suppliers. This includes supporting development and implementation of strategies and new product developments to gain market penetration of CAD technologies into Transportation / Plastics / Leather coatings segment. - Develop, recommend and implement new or revised tests to promote existing and new products and the development of new market areas. - Provide technical support to customers by customer visit, telephone and emails. This includes technical visits with field sales force to present products and technology. - Prepare presentations, technical reports, summaries and analysis of his/her work. - Attend and deliver papers at industry trade shows and conferences. - May supervise or train other laboratory personnel in the performance of specialized work. May oversee the activities of other employees assigned to support a specific project (lower level scientists, technicians, interns). - Maintains team raw materials list. Writes Safe Work Practices and supports Design Hazard Reviews, Management of Change and other safety documentation as needed. - Participate in on-site safety program and activities REQUIREMENTS - Minimum requirement: Bachelor’s degree in Chemistry, Chemical Engineering, or a related scientific field with 7+ years of experience in formulating coatings for Transportation/Plastic applications. - Preferred qualifications: Ph.D. with 1-2 years of relevant experience or Master’s degree with 3-4 years of experience relevant coatings/additives experience. - Strong coatings formulating experience in relevant coatings field strongly preferred along with strong chemistry background - Position requires ability to formulate, make and apply coatings samples in the lab, including by spray techniques. - Ability to set goals and work independently in designing and conducting experiments, organizing data and analysis of the results. - Good problem-solving skills. - Computer proficiency required with emphasis on Excel spreadsheet capabilities and PowerPoint. - Possesses effective and convincing verbal and technical writing skills in English language. - Proficiency in German language a plus. - Ability to travel domestic and internationally and make technical presentations to customers as needed to proactively support technical sales The Evonik Group adopts an Equal Employment Opportunity (EEO) approach. Candidates are assessed based on their educational qualifications, experience, job competencies and potential and shall not be discriminated against on the basis of race, ethnicity, age, gender, religion, nationality, disability or sexual orientation or other classifications protected by local, state, or provincial regulations. Your Application To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at www.evonik.com/en/careers.html. Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.

Role Description As a Senior Data Scientist at Atria, you will generate the medical insights and forecasts that shape how our clinicians care for members and how Atria runs as a practice. You'll work with one of the most distinctive longitudinal datasets in medicine: deep per-member baselines (whole-genome sequencing, advanced imaging, comprehensive labs, movement analysis, lifestyle inputs) revisited on cadence over years and linked across full family lineages, alongside the operational data of how a multi-disciplinary care team actually delivers that care. Your work spans both sides of that equation: surfacing clinically meaningful patterns clinicians can act on, and building the analyses, forecasts, and operational models that help Atria deliver better care more efficiently. What you'll do - Generate medical insights from Atria's longitudinal clinical data: surface early signals of disease, characterize how members respond to interventions, and identify population-level trends clinicians can act on. - Build forecasting models on clinical and operational signals: disease progression, biomarker trajectories, member engagement, demand and capacity planning, and other time-series problems. - Lead or contribute to operational analytics: visit patterns, throughput and scheduling, panel composition, vendor performance, member journeys, and the quiet efficiency questions that compound over a year. - Design and execute studies in partnership with clinicians: clear questions, well-controlled comparisons, honest error analysis, and writeups that hold up to clinical scrutiny. - Design and analyze experiments (A/B tests, staged rollouts, quasi-experiments) with appropriate attention to power, multiple comparisons, and the difference between "statistically significant" and "actually mattered". - Author and maintain curated views and dbt models in our Snowflake gold layer, documented well enough that clinicians and operational staff can use them confidently without a Slack DM to you every Tuesday. - Build dashboards and analytical tools in Omni Analytics that clinicians and operational leaders actually use to make decisions. - Partner with the AI Scientists and AI Engineers on the boundary where analytical work meets model training and production systems: contributing ground truth, evaluation datasets, and the clinical framing that keeps their models pointed at the right problem. - Translate clinical and operational questions into well-formed analytical problems, and translate results back into clear recommendations. The translation in both directions is most of the job. - A bias to deliver. You would rather have a clear answer to a real question in front of a clinician next week than a beautiful methodology that ships next quarter. - A scrappy streak. You can pick up an unfamiliar dataset, statistical method, or clinical concept on a Wednesday and have a credible first cut by Friday. - A serious drive to keep getting better. You read other people's analyses, papers, and code. You treat being wrong as cheap information rather than an event requiring counseling. Qualifications - Experience in data science, analytics, or applied statistics: 5+ years, with at least 2 in healthcare, biomedical, or another regulated longitudinal-data domain. - Strong foundation in statistics and probability: you can defend a confidence interval, a regression specification, and a sensible forecasting baseline honestly. - Solid working knowledge of forecasting and time-series methods (classical and modern), regression modeling, and applied ML for tabular data (gradient boosting and related). - Familiarity with the design and analysis of experiments and quasi-experiments: enough to know when an A/B test is the right tool, when it isn't, and what to do about it. - Strong Python (pandas, scikit-learn, statsmodels, and at least one forecasting library) and SQL that you write without apologizing for. - Comfort with a cloud warehouse (Snowflake preferred) and modern data tooling such as dbt and a workflow orchestrator (Dagster, Airflow). - Track record of partnering with domain experts and turning their questions into defensible analytical work: clinicians, ops leaders, or comparable stakeholders. - Clear written and visual communication: tight executive summaries, defensible methods sections, and charts that have titles, axes, and a point. - Interest in healthcare and the responsibility that comes with working on data that affects patient care. Nice to have - Graduate degree in a quantitative field (statistics, biostatistics, epidemiology, computer science, applied math, or a relevant clinical/biological science), or a strong track record of analytical work in lieu of formal credentials. - Experience with causal inference methods. - Experience with modern forecasting toolkits and hierarchical or probabilistic forecasting. - Familiarity with modern deep learning tools (PyTorch, Hugging Face ecosystem): enough to collaborate productively with AI Scientists and Engineers. - Familiarity with a BI tool (Omni, Looker, Mode, Tableau). - Published peer-reviewed clinical, biomedical, or operations research. - Any prior work in healthcare, biology, or another regulated domain. Salary $180,000 - $260,000 Base Salary + performance-based bonus Benefits - Excellent health and wellness benefits, fully covered by Atria, effective date of hire. - OneMedical membership for employees & dependents, giving access to 24/7 virtual care. - Fertility & family planning. - Company-covered preventive health screenings through partner hospitals (calcium score). - Fitness Perks, including Wellhub +. - 401k contributions and 4% match starting after 6 months.

• Provides data management support, oversight and/or accountability for one or more clinical trials • Take the lead with the trial customer(s) and other internal and external partners to establish, align and confirm data management expectations • Creating, planning, and tracking content, format, quality, and timing of data management deliverables • Gathers content and integration requirements for eCRF and other data collection tools • Establishes conventions and quality expectations for clinical data • Set timelines and follow-up to ensure delivery of all Data Management milestones • Performs trial level oversight controls • Creates clinical data management documents ensuring appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency • Ensures compliance with regulatory guidelines and the documentation matrix • Ensures real-time inspection readiness of all Data Management deliverables

• Du bist zentrale Ansprechperson für Kundenberatung, Einkauf, Abrechnung und Controlling in allen Stammdaten-Fragen • Du übersetzt Kundenverträge und Informationen aus der Kundenberatung in korrekte Einstellungen in DML und Maconomy sowie Kreditoren in SAP/Ariba • Du pflegst und verwaltest zentrale Stammdaten in unserem Mediaabwicklungssystem DML • Du entwickelst Stammdatenprozesse aktiv weiter wie z.B. klare Guidelines, einheitliche Standards, Abbau von Komplexität • Du identifizierst Automatisierungspotenziale und arbeitest an ihrer Umsetzung mit • Du schulst interne Anwender und unterstützt beim Aufbau von Key-User-Kompetenz in den Teams • Du unterstützt bei Finance-Prozessen und trägst zur datenbasierten Steuerung der Gruppe bei