R&D Ops AI/ML Data Scientist

Posted 2 Days Ago
3 Locations
In-Office or Remote
118K-162K Annually
Mid level
Artificial Intelligence • Healthtech
The Role
Drive R&D operations analytics by implementing and automating medical device product development KPIs, ensuring data integrity, partnering with product and process SMEs to build scalable data-driven solutions, and applying advanced AI/ML techniques from concept through automation and integration.
Summary Generated by Built In

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.

Varian Medical Systems, a Siemens Healthineers company is hiring for an R&D Ops Data Scientist, and you will help transform strategic digital health and quality priorities into actionable data, metrics, and business solutions.
This role sits within the R&D Operation group and partners closely with Technology and Process subject matter experts, Design QA, Product teams, and business stakeholders.
The position plays a key role in driving a data-driven culture by identifying important questions, collecting and organizing relevant data, extracting meaningful insights, and translating findings into scalable solutions that positively impact the business.

What You will do:

  • You will implement, automate, and continuously improve Medical Device Product Development KPIs that translate strategic priorities into actionable metrics.
  • You will develop, recommend, and support the implementation of data-driven solutions in partnership with Technology and Process subject matter experts.
  • You will own R&D Ops Product Development data integrity by ensuring data is reliable, structured, accessible, and fit for business decision-making.
  • You will interact with Product teams to understand business needs, simplify complex concepts, and convert insights into systemic and scalable solutions.
  • You will provide technical subject matter expertise where needed, from conceptual design through automation and integration of recommended solutions.

What You will have:

  • Experience: Proven experience extracting knowledge and insights from noisy, structured, and unstructured data.
  • Skills: Ability to simplify, streamline, and automate processes using a data-first, customer-centric approach. Advanced AI/ML skillset a must (Core ML, Deep Learning, GenAI and Agentic AI).
  • Tools: Experience with Agile planning and lifecycle tools such as Jira, Azure DevOps (ADO), and Jama Connect, Snowflake
  • Mindset: Agile thinker with strong business acumen, curiosity, autonomy, and the ability to thrive in a fast-paced environment.
  • Education: Bachelor's degree or higher in Computer Science or a related field.

Your Expertise

  • Strong ability to identify important business questions and determine the data needed to answer them.
  • Experience collecting, storing, organizing, and analyzing data from multiple sources to generate actionable insights.
  • Ability to digest complicated concepts and simplify them into understandable, systemic solutions.
  • Experience or exposure to digital transformation initiatives, including tooling architecture, is desired.
  • Experience or exposure to continuous improvement initiatives is desired.
  • Clear communication and social skills, with the ability to interact effectively with teams and management.
  • High-energy, can-do attitude with an Agile mindset and enthusiasm for the vision of a world without fear of cancer.
  • Coachable, curious, open-minded, and able to listen, learn, and adapt quickly.

Business Context

  • Knowledge of Quality Management System (QMS) and product lifecycle processes desired.
  • LEAN or Agile development exposure is preferred,
  • Experience in the Medical Device or Pharma industry, with SaMD or Digital Health exposure considered a plus.

#LS-OS1

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:

$117,500 - $161,568

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.

EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here.

Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at [email protected]. Please note HR People Connect People Contact Center will not have visibility of your application or interview status.

California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here.

Export Control: “A successful candidate must be able to work with controlled technology in accordance with US export control law.” “It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.”

Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.

Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

Skills Required

  • Proven experience extracting insights from noisy, structured, and unstructured data
  • Advanced AI/ML skillset (Core ML, Deep Learning, Generative AI, Agentic AI)
  • Experience with Agile planning and lifecycle tools such as Jira, Azure DevOps (ADO), and Jama Connect
  • Experience with Snowflake
  • Bachelor's degree or higher in Computer Science or a related field
  • Ability to simplify, streamline, and automate processes using a data-first, customer-centric approach
  • Clear communication and collaboration skills to work with cross-functional teams and management
  • Experience or exposure to digital transformation initiatives and tooling architecture
  • Experience or exposure to continuous improvement initiatives (LEAN/Agile)
  • Knowledge of Quality Management Systems (QMS) and product lifecycle processes
  • Experience in the Medical Device or Pharma industry, SaMD or Digital Health exposure

Siemens Healthineers Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Siemens Healthineers and has not been reviewed or approved by Siemens Healthineers.

  • Leave & Time Off Breadth Paid time off is presented as notably generous, with a starting allotment around four weeks plus multiple holidays and the potential to grow with tenure. Time-off availability is repeatedly framed as a meaningful part of the overall rewards value.
  • Retirement Support Retirement benefits are positioned as a strong component of total rewards, highlighted by a company match that is described as substantial. This retirement support is repeatedly grouped with other core benefits as a reason overall rewards feel competitive.
  • Healthcare Strength Health coverage is described as robust, spanning medical, dental, and vision options with meaningful employer subsidy for full-time eligibility. Access to accounts like HSA/FSA is also emphasized as part of the healthcare offering.

Siemens Healthineers Insights

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The Company
HQ: Erlangen
43,353 Employees

What We Do

Siemens Healthineers is a leading medtech company with over 125 years of experience. Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatment pathways. With our strengths in patient twinning, precision therapy, as well as digital, data, and artificial intelligence (AI), we are well positioned to take on the biggest challenges in healthcare. We will continue to build on these strengths to help fight the world’s most threatening diseases, improving the quality of outcomes, and enabling access to care. We are a team of 66,000 highly dedicated employees across more than 70 countries passionately pushing the boundaries of what’s possible in healthcare to help improve people’s lives around the world.

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