# Principal Biostatistician - Biomarker

**Company**: Syneos Health
**Location**: ESP-Remote (Madrid)
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://syneoshealth.wd12.myworkdayjobs.com/en-US/Syneos_Health_External_Site/job/ESP-Remote-Madrid/Principal-Biostatistician---Biomarker---open-to-various-countries-in-Europe_25113290?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_012a5568-d3e

## Description

We are seeking a Principal Biostatistician - Biomarker to join our team in various countries in Europe.

As a Principal Biostatistician - Biomarker, you will collaborate with representatives from other functions to plan, execute, and analyze all biomarker aspects of clinical studies or biomarker studies.

**Major tasks:**

- Collaborate with cross-functional teams to plan, execute, and analyze biomarker studies

- Develop the Biomarker Evaluation Plan for studies, ensuring consistency within and between projects

- Provide statistical input in clinical development discussions, and usage of AI and ML approaches

- Facilitate the organization and coordination of statistical activities regarding biomarker research and development

- Conduct and design advanced data analysis for genomics and biomarker statistics, including statistical programming and design of complex analysis algorithms

- Assume responsibility for the production and accuracy of the Biomarker Evaluation Report

- Work independently at routine and complex statistical questions, modeling, and tasks

- Develop and implement standard processes for the analysis of routine biomarker assessments

**Qualifications:**

- PhD or MSc in Biostatistics, Statistics, or Mathematics, or related field

- Proven experience developing and deploying deep learning models with PyTorch, TensorFlow, or Keras

- Solid understanding of ML algorithms and statistical methods, including survival analysis and batch-effect handling

- Experience with explainable AI (SHAP, attention attribution, counterfactuals) and uncertainty quantification for biomarker interpretability

- Strong Python skills and data manipulation experience (Pandas, NumPy, scikit-learn)

- Strong communication and interpersonal skills

- Ability to work independently and collaboratively

- Previous experience in independently leading biomarker studies is mandatory

- Previous clinical trial experience and industry experience are preferred

- Strong knowledge of biomarker evaluation, especially in immunology and infections, type I diabetes, and relevant parameters and underlying biology

- Good knowledge of statistical programming languages, including R and Python

- Experience with analysis of high-dimensional data

**What we offer:**

- Career development and progression opportunities

- Supportive and engaged line management

- Technical and therapeutic area training

- Peer recognition and total rewards program

- Inclusive culture where you can authentically be yourself

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- Keras
- R
- Bioconductor
- Pandas
- NumPy
- scikit-learn
- Deep Learning
- Machine Learning
- Biostatistics
- Statistics
- Mathematics
- Genomics
- Biomarker statistics

### Nice to have
- Clinical trials
- Industry experience
- Immunology
- Infections
- Type I diabetes

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Source: [Apply at syneoshealth.wd12.myworkdayjobs.com](https://syneoshealth.wd12.myworkdayjobs.com/en-US/Syneos_Health_External_Site/job/ESP-Remote-Madrid/Principal-Biostatistician---Biomarker---open-to-various-countries-in-Europe_25113290?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)