At a Glance
- Tasks: Manage data flow and ensure client projects run smoothly with measurable impact.
- Company: Join a dynamic health tech startup focused on innovation and client success.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with a fun, collaborative culture and room for creativity.
- Why this job: Be at the forefront of healthcare tech, making a real difference in client outcomes.
- Qualifications: Proficient in Python, SQL, and have strong project management skills.
The predicted salary is between 37800 - 46200 £ per year.
About the role
As a Solutions Engineer, you will sit at the intersection of client success, data operations, and engineering. You’ll manage the flow of data from client intake through to clean, validated deliverables — ensuring each engagement (from a 50-patient pilot to a full population review) runs smoothly, transparently, and with measurable impact. You’ll be both a project manager and a technical operator: coordinating across internal teams, running scripts and pipelines, and ensuring our outputs meet Keebler’s high standards for accuracy, security, and clinical integrity.
Responsibilities
- Serve as the primary workflow owner for assigned clients, including pilots and live accounts.
- Effectively communicate data requirements, timelines, and expected outcomes with the team and clients.
- Ingest, clean, and process client-submitted data (e.g., spreadsheets, claims, encounter notes, lab results).
- Pull, transform, and validate datasets using Python, SQL, and related tools.
- Develop scripts and lightweight tools to automate recurring data preparation and delivery workflows.
- Partner with Engineering to troubleshoot ingestion pipelines, QA outputs, and improve automation.
- Ensure all deliverables meet internal standards for accuracy, compliance, and HIPAA security.
- Package and deliver client results, working with clinical SMEs to add interpretive context.
- Track and report client health metrics to support renewals and continuous improvement.
- Help refine and improve internal delivery playbooks, templates, and documentation as the team scales.
Qualifications
- Proficiency in Python for data manipulation and automation (pandas, requests, etc.).
- Experience working with healthcare data (claims, clinical notes, lab results, or EHR exports).
- Familiarity with Excel/CSVs, and basic SQL for data extraction and validation.
- Strong communication and project management skills; able to translate between technical and clinical contexts.
- Must be a self-starter who is comfortable working in a fast-paced, startup environment with evolving specs and limited documentation.
Bonus Points For
- Experience in health tech startups or consulting.
- Familiarity with EHR systems and value-based care models.
- Exposure to risk adjustment, RAF scoring, or clinical data quality workflows.
What Success Looks Like
- Efficiently executing and delivering results for multiple independent workflows at once.
- Internal teams utilize your scripts and tools to scale operations efficiently.
- Pilots demonstrate the speed and comprehensiveness of Keebler’s review process — creating clear “wow” moments.
- Data integrity and compliance are consistently flawless.
- Client satisfaction and renewal rates remain high.
Whether you apply through the website, or email careers@keebler.health please include:
- A highly personalized, bold, and hilarious “Keebler Health–style” introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we’re building something real.
- Your resume
- A link to your LinkedIn profile
- Anything else you think we should know
Solutions Engineer in Durham employer: Keebler Health
At Keebler Health, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. As a Solutions Engineer, you'll enjoy the benefits of working in a fast-paced startup environment where your contributions directly impact client success and healthcare outcomes. With ample opportunities for professional growth, collaboration with talented teams, and a commitment to innovation, you'll find meaningful and rewarding employment that aligns with your passion for health tech.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Engineer in Durham
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Keebler Health.
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We think you need these skills to ace Solutions Engineer in Durham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Keebler Health, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Keebler Health. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Keebler Health
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Keebler Health!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
