Data Analyst and Investigation Engineer (biocompatibility)

Job Title Data Analyst and Investigation Engineer (biocompatibility) Job Description Lead advanced scientific data analysis across biocompatibility and toxicological domains, synthesizing complex datasets spanning material science, laboratory studies, and regulatory inputs. Apply rigorous statistical methods (e.g., regression, DOE, reliability analysis) to generate defensible insights that support biological safety and product evaluation decisions. Design and operationalize scalable data infrastructure and analytical pipelines using SQL, Python, R, and related tools to ensure efficient data processing and reuse. Build automation workflows and maintain structured datasets that link materials, chemistry, biological endpoints, and reprocessing outcomes for consistent, end-to-end analysis. Develop and deliver data visualization and reporting solutions that translate complex scientific findings into clear, actionable insights for cross-functional stakeholders. Create dashboards, semantic models, and self‑service tools that enable engineers, toxicologists, and regulatory teams to make informed, data‑driven decisions. Support regulatory and quality‑driven deliverables and validation activities, including BEPs, BERs, TRAs, and cleaning/disinfection assessments. Ensure all analytical outputs are traceable, reproducible, audit‑ready, and aligned with quality system standards and documentation best practices. Drive data governance, security, and compliance across analytical systems and workflows, partnering closely with Information Security, Quality, and Regulatory teams. Enforce best practices in data handling, software validation, AI usage, and risk management while supporting secure deployment, monitoring, and remediation of analytical tools and platforms. Qualifications You’ve acquired 2+ years of experience in data analytics, with the ability to analyze, interpret, and merge large datasets across multiple systems or platforms. Your skills include: Proficiency in Excel with a demonstrated ability to perform advanced formulas & functions (VLOOKUP/XLOOKUP), pivot tables & data analysis, and data automation & workflow efficiency (macros/tools like Power Query). Experience using Python (or similar languages) to develop tools for data manipulation and analysis. An understanding of SAP (or similar ERP) and experience building dashboards with Power BI or Tableau – preferred. You have a Bachelor's or Master's Degree in an Engineering discipline, Data Analytics/Data Science or equivalent field of study. You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position. You’re a strong communicator and team player. How we work together We believe that we are better together than apart. For our office‑based teams, this means working in‑person at least 3 days per week. Onsite roles require full‑time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This is an office role. Philips Transparency Details The pay range for this position in PA is $102,000 to $163,000. The actual base pay offered may vary within the posted ranges depending on multiple factors including job‑related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation, such as an annual incentive bonus, sales commission or long‑term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. Additional Information US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work‑authorized visa, now or in the future. Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Murrysville, PA. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug‑free workplace. #J-18808-Ljbffr Philips Iberica SAU