Post Doctoral Medical Fellow - Digital Health, Clinical Development
Boehringer Ingelheim · Ridgefield, CT · 3 wk ago
HybridAnalyst$80k/yrFull-time
Duties & Responsibilities
- Lead research focused on evaluating, testing, and deploying digital health technologies (wearables, sensors, smartphone apps, patient-reported outcomes) to accelerate clinical development
- Conduct statistical analysis of multimodal real-world behavioral data to assess associations with key clinical outcomes of interest (e.g., treatment response, disease progression, adherence, data quality, patient phenotypes/stratification, digital endpoint validation, quality of life)
- Proactively design and lead the development of reusable, reproducible data analysis pipelines for extracting quality metrics, features, and validated digital endpoints from multimodal clinical trial data
- Design and execute validation studies to establish the scientific rigor, reliability, and clinical meaningfulness of digital health measures for trial use (e.g., patient identification/screening, enrollment optimization, quality-of-life assessment, functional outcomes)
- Collaborate with interdisciplinary and cross-functional teams (clinical development, biostatistics, data science, clinical operations, regulatory affairs) to communicate and present research findings through presentations and scientific reports
Requirements
- Ph.D. from an accredited institution earned before the start date at Boehringer Ingelheim
- PREFERRED: Degree in a quantitative field such as biomedical engineering, statistics, computer science, electrical engineering, data science, or a related discipline
- Demonstrable proficiency in at least one scripting language (Python or R preferred) and experience writing reusable, version-controlled (Git), and well-documented code
- Demonstrated scientific experience in digital health research as evidenced by publications, presentations, or successful digital health project implementations
- Strong background in applied data science, signal processing, time-series analysis, and machine learning/statistics, preferably in healthcare or clinical research domains
- Familiarity with clinical outcome assessment (COA) frameworks and patient-centered measurement, including PRO, ClinRO, ObsRO, and PerfO categories; experience with ePRO/eCOA instruments or FDA PRO Guidance concepts is a plus
- Excellent interpersonal, communication, and presentation skills with the ability to work effectively in a dynamic, collaborative, and cross-functional environment
- Working knowledge of regulatory frameworks relevant to digital health technologies, including FDA DHT/SaMD guidance, ICH E6 (GCP), and digital endpoint evidentiary standards (e.g., V3+, BEST Resource, DDT qualification pathway); is a plus
Eligibility Requirements
- Must be legally authorized to work in the United States without restriction
- Must be willing to take a drug test and post-offer physical (if required)
- Must be 18 years of age or older
Compensation
This position offers a base salary of $80,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here.
Duration
Two years
Location
Remote (within US)