Job Description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.



Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.


As a Staff Scientist - Data Science, Benchtop Solutions to support the activities of new product development (NPD) and current product support (CPS) related to state-of-the-art electrochemical biosensors/assays development, assay system integration and complex data analysis efficiency improvement. The Staff Scientist - Data Science, Benchtop Solutions will integrate within priority areas of need to assure timely, focused deliverables aligned with strategic direction. This role will support both NPD and CPS initiatives through application of:

Scientific rigor across all phases of the product development lifecycle Proven problem-solving capabilities with a structured and data-driven approach Extensive data science, coding knowledge and working experience (e.g. data analytics, complex data management, AI/machine learning based solutions, Python, R) Spearhead the implementation of modern data analysis and Gen AI/Large Language Modeling methodologies

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Key Responsibilities

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Staff Scientist - Data Science, Benchtop Solutions you will be responsible for:

Utilizing specialized chemistry and general scientific knowledge and skills to lead R&D projects developing state-of the-art biosensor/assay and accompanying processes for measurement of analytes in blood in a point-of-care setting. Leading troubleshooting of complex scientific investigations and finding innovative solutions via data analysis and AI/machine learning based approaches. Play a key role in the planning, design and execution of signal processing, time-series analysis, and predictive machine learning algorithms for highly integrated point-of-care medical devices. Strong understanding of biosensor data and diagnostic instrumentation. Delivering regular written and oral project updates to R&D colleagues and program stakeholders and completing deliverables to support the product development process. Collaborating closely with other R&D personnel and with manufacturing during the design transfer process. Championing the use of statistical methods and data science practices to enable timely, data-driven decisions regarding assay design and performance. Offering innovative solutions and developing tools for data analysis efficiency improvement for both NPD and CPS activities. Mentoring and coaching colleagues for complex and modern data solutions. Fostering the thinking process in Gen AI/ML/LLM based approaches in product development and lifecycle management.

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Required Qualifications

MSc or Ph.D. in scientific or engineering related disciplines, such as Chemistry/Biochemistry, Chemical Engineering, Biomedical Engineering. 10+ years of experience with complex data management, data analysis, mathematical modeling, algorithm development etc., including working experience with Gen AI/LLM models and workflows. Proficiency in coding/programming languages (Python, R, C, C++, MATLAB etc.) required. Expert in data analysis and visualization, 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.

Preferred Qualifications

Experience with in-vitro diagnostic assays. Understanding of CLSI guidance and data analysis format. Experience working with data from early-stage biosensor protypes, pre-clinical and clinical data.

Who we are

: 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. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work:

When you join Siemens Healthineers, you become one in 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. For everyone. Everywhere. Sustainably.


To find out more about Siemens Healthineers businesses, please visit our company page here.


The base pay range for this position is:


$137,910 - $189,629
Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.


If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.


The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical 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 Statement:

Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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