Staff Scientist – Data Science, Benchtop Solutions
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Role
As a Staff Scientist – Data Science, Benchtop Solutions you will integrate within priority areas of need to assure timely, focused deliverables aligned with strategic direction. You will support both new product development (NPD) and current product support (CPS) initiatives through application of scientific rigor, proven problem‑solving capabilities, extensive data science and coding knowledge, and spearhead the implementation of modern data analysis and Gen AI / Large Language Modeling methodologies.
Key Responsibilities- Utilize specialized chemistry and general scientific knowledge to lead R&D projects developing state‑of‑the‑art biosensor/assay for point‑of‑care measurement of analytes in blood.
- Lead troubleshooting of complex scientific investigations and find innovative solutions via data analysis and AI/machine‑learning approaches.
- Play a key role in planning, design and execution of signal processing, time‑series analysis and predictive machine‑learning algorithms for highly integrated point‑of‑care medical devices.
- Deliver regular written and oral project updates to R&D colleagues, program stakeholders and support deliverables to product development process.
- Collaborate closely with R&D personnel and manufacturing during design transfer process.
- Champion use of statistical methods and data science practices to enable timely, data‑driven decisions regarding assay design and performance.
- Mentor and coach colleagues for complex and modern data solutions and foster thinking process in Gen AI/ML/LLM based approaches in product development and lifecycle management.
- MSc or Ph.D. in Chemistry/Biochemistry, Chemical Engineering, Biomedical Engineering or related disciplines.
- 10+ years of experience with complex data management, data analysis, mathematical modeling, algorithm development and work with Gen AI/LLM models and workflows.
- Proficiency in coding/programming languages (Python, R, C, C++, MATLAB, etc.).
- Expertise in data analysis and visualization tools such as Microsoft Excel, Excel Macros Development, Minitab, JMP, SAS and others.
- Proven track record of building and validating models, deploying solutions for production, monitoring model performance and reliability.
- Proven track record of successful innovative data solutions and root cause analysis experience.
- Strong analytical, communication, interpersonal and project management skills.
- Ability to work effectively in a dynamic, cross‑disciplinary team environment.
- Experience with in‑vitro diagnostic assays.
- Understanding of CLSI guidance and data analysis format.
- Experience working with data from early‑stage biosensor prototypes, pre‑clinical and clinical data.
We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing.
How we workWhen you join Siemens Healthineers you become part of a global team of scientists, clinicians, developers, researchers, professionals and skilled specialists who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare.
BasePay Range
$137,910 - $189,629
BenefitsMedical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long‑term and short‑term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.
Equal Employment Opportunity StatementSiemens Healthineers is an Equal Opportunity and Affiantative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities,…
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