Join BAMF Health, where you’re not just part of a team; you’re at the forefront of a revolution in Theranostics, changing lives for the better. As a member of our global team, you’ll contribute to pioneering technology and deliver top-tier patient care.
Located in the heart of downtown Grand Rapids, our cutting-edge global headquarters resides within the state-of-the-art Doug Meijer Medical Innovation Building. Step into our modern and spacious facilities, where innovation thrives and collaboration knows no bounds.
Join us in our mission to make Theranostics accessible and affordable for all, and be part of something truly remarkable at BAMF Health.

The Biomedical Data Scientist leads the transformation of complex clinical and Imaging data into actionable AI models in the oncology space. The role combines clinical informatics, data engineering, and machine learning for real-world precision medicine. Responsible for translating multimodal data—including PACS imaging, EMRs, physician notes, and optionally molecular assays—into unified structured datasets and for building prognostic and progression-free survival (PFS) models from these datasets to advance cancer treatment personalization.

• Data Integration & Engineering:
• Build and maintain robust pipelines that ingest and harmonize multimodal data (DICOM imaging, EMR, pathology, molecular/omics data, and free-text clinical notes).
• Work across HL7, FHIR, DICOM, and unstructured text formats to enable a comprehensive longitudinal patient view.
• Apply NLP or LLM tools to extract structured information from freeform physician notes, pathology reports, and radiology impressions.
• Collaborate with solution architects and engineers to ensure AI-readiness and scalability of the data infrastructure.
• AI Modeling & Analytics:
• Develop and validate AI/ML models for:
• Progression-Free Survival (PFS) estimation
• Overall survival prediction
• Prognostic classification and risk stratification
• Use classical survival analysis (e.g., Kaplan-Meier, Cox models) as well as modern ML approaches (e.g., DeepSurv, time-to-event modeling, random survival forests).
• Perform feature engineering across clinical, imaging, and molecular features.
• Lead the data science component of retrospective and prospective studies in collaboration with clinicians and statisticians.
• Collaboration & Strategy:
• Partner with oncologists, nuclear medicine physicians, and radiologists to define clinically meaningful endpoints and labels.
• Contribute to publications, presentations, and regulatory submissions where needed.
• Ensure all processes adhere to data privacy regulations (e.g., HIPAA, GDPR, 21 CFR Part 11).

Basic Qualifications:

• Advanced degree (MS/PhD) in Biomedical Informatics, Biostatistics, Computer Science, Bioengineering, or related discipline required.
• 5 years of experience in biomedical data science, clinical informatics, or a related field required
• Proven experience with: Clinical data (EMR, PACS, structured/unstructured EHR), NLP/LLM tools, and AI/ML models for prognostic or survival prediction required
• Proficiency in Python (pandas, scikit-learn, PyTorch), SQL, and data pipeline frameworks required

Preferred Qualifications:

• Experience with time-to-event models (DeepSurv, CoxNet, survival forests) preferred
• Familiarity with radiology and nuclear medicine workflows preferred
• Exposure to omics datasets and molecular biomarkers preferred
• Prior experience in oncology, radiology, or theranostics domains preferred

Schedule Details:

• Employment Status: Full time (1.0 FTE)
• Weekly Scheduled Hours: 40
• Hours of work: 8:00 a.m. to 5:00 p.m.
• Days worked: On-site role with potential hybrid flexibility Monday–Friday

At BAMF Health, our top priority is patient care. To ensure we are able to drive a Bold Advance Medical Future, we offer a well-rounded benefit package to care for our team members and their families. Highlights include:

• Employer paid High Deductible Health Plan with employer HSA contribution
• Flexible Vacation Time
• 401(k) Retirement Plan with generous employer match
• Several benefit options including, but not limited to; dental, vision, disability, life, supplemental coverages, legal and identity protection
• Free Grand Rapids downtown parking

Disclaimer
BAMF Health provides equal opportunities to all employees for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
BAMF Health will reasonably accommodate qualified individuals with a disability so that they can perform the essential functions of a job unless doing so causes a direct threat to these individuals or others in the workplace and the threat cannot be eliminated by reasonable accommodation or if the accommodation creates an undue hardship to BAMF Health.
BAMF Health is an Equal Opportunity Employer and will not accept or tolerate discrimination or harassment against any applicant, employee, intern, or volunteer based upon the following characteristics: race, color, religion, creed, national origin, ancestry, sex, age, qualified mental or physical disability or handicap, sexual orientation, gender identity/expression, transgender status, genetic information, pregnancy or pregnancy-related status, marital status, veteran status, military service, any application for any military service, or any other category or class protected by applicable federal, state, or local laws

• Data Integration & Engineering:
• Build and maintain robust pipelines that ingest and harmonize multimodal data (DICOM imaging, EMR, pathology, molecular/omics data, and free-text clinical notes).
• Work across HL7, FHIR, DICOM, and unstructured text formats to enable a comprehensive longitudinal patient view.
• Apply NLP or LLM tools to extract structured information from freeform physician notes, pathology reports, and radiology impressions.
• Collaborate with solution architects and engineers to ensure AI-readiness and scalability of the data infrastructure.
• AI Modeling & Analytics:
• Develop and validate AI/ML models for:
• Progression-Free Survival (PFS) estimation
• Overall survival prediction
• Prognostic classification and risk stratification
• Use classical survival analysis (e.g., Kaplan-Meier, Cox models) as well as modern ML approaches (e.g., DeepSurv, time-to-event modeling, random survival forests).
• Perform feature engineering across clinical, imaging, and molecular features.
• Lead the data science component of retrospective and prospective studies in collaboration with clinicians and statisticians.
• Collaboration & Strategy:
• Partner with oncologists, nuclear medicine physicians, and radiologists to define clinically meaningful endpoints and labels.
• Contribute to publications, presentations, and regulatory submissions where needed.
• Ensure all processes adhere to data privacy regulations (e.g., HIPAA, GDPR, 21 CFR Part 11)