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Madrid, Comunidad de Madrid, España
Remote only
Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.
Job Responsibilities
Major tasks:
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 (incl. survival analysis, batch-effect handling) and their application in pharma/biomarker discovery.
Explainable AI (SHAP, attention attribution, counterfactuals) and uncertainty quantification for biomarker interpretability.
· Usage of AI and ML approaches
Strong Python skills and data manipulation experience (Pandas, NumPy, scikit-learn); production-quality, version-controlled code.
· Strong communication and interpersonal skills
· Ability to work independently as well as collaboratively, as required.
· Minimal supervision required.
· Usage of AI and ML approaches
· Previous experience in independently leading biomarker study mandatory
· Previous clinical trial experience, industry experience is preferred
· Strong knowledge on Biomarker evaluation, esp. In immunology and infections, type I diabetes, relevant parameters and underlying biology
· Good knowledge of statistical programming languages including R (Bioconductor package and other relevant R packages for genetic data), Python
· Analysis of high-dimensional data
Get to know Syneos Health
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.
No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.
Additional Information
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
