Jobs · Analyst · Connecticut

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)

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