Senior Revenue Manager

KAIMO; Castilla-La Mancha; Presencial; EUR 45.000 - 90.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Senior AI Specialist to join a dynamic team dedicated to transforming healthcare through innovative technology. In this role, you will design and implement cutting-edge Natural Language Processing models, contributing to the development of high-quality research studies that impact global health. You will collaborate with a diverse team of experts, ensuring the highest standards of privacy and security while staying at the forefront of advancements in AI and Machine Learning. If you are passionate about leveraging technology to improve healthcare outcomes and thrive in a fast-paced environment, this opportunity is for you.

Servicios

Flexible culture

Career development framework

Multidisciplinary team collaboration

Positive impact on global health

Formación

• Advanced degree in Computer Science or related field required.
• Proven experience in Machine Learning, particularly with NLP and LLMs.

Responsabilidades

• Design and deploy NLP models in clinical settings using advanced techniques.
• Collaborate with teams to solve business problems using Machine Learning.

Conocimientos

Natural Language Processing

Machine Learning

Python

Problem-solving

Collaboration

Communication

Educación

Master's or Ph.D. in Computer Science

Herramientas

Python

R

Java

Scala

Descripción del empleo

Senior AI Specialist at Savana

SAVANA is an award-winning, international medical company aiming to accelerate health science by putting into the hands of healthcare providers the power to unlock all of the clinical value embedded within existing Electronic Health Records (EHRs) with Artificial Intelligence and Natural Language Processing, always ensuring maximum privacy and security.

Founded in 2014, Savana has developed a scientific methodology that applies Artificial Intelligence (AI) to unlock all the clinical value embedded within Electronic Health Records' free-text (EHRs). With the largest AI-enabled, multi-language, multi-center research network in the world, Savana generates customized descriptive and predictive, high-quality Deep Real World Evidence research studies. Engineered by doctors for doctors, the company is built following the highest privacy-by-design standards.

Savana operates in more than 160 hospitals, 5 languages, and 15 countries and has already improved more than 6 clinical practices with over 100 employees from 16 nationalities. It constitutes a clinical research ecosystem that aims to advance personalized and precision medicine worldwide.

Major Accountabilities where this role is involved:

1. Design, develop, fine-tune, optimize, and deploy state-of-the-art Natural Language Processing models, including LLMs, in clinical and multilingual settings, using foundational model libraries.
2. Design and implement optimization techniques for quality assurance, explainability, and annotation projects.
3. Understand the full Machine Learning lifecycle, from data collection/preparation and model development to model deployment and monitoring.
4. Collaborate with cross-functional teams to identify and solve business problems using advanced Machine Learning techniques.
5. Stay up to date with the latest research and advancements in NLP, LLMs, and Machine Learning technologies, including Retrieval Augmented Generation (RAG).
6. Work collaboratively within a multicultural, multilingual team and meet tight project deadlines.
7. Support and execute projects within the team’s core responsibility including, e.g., model development and fine-tuning for real-world evidence studies.
8. Operate according to Security Policies, Procedures, and Manuals.
9. Report any suspect of incident or improvement proposals.

Skills, Experience and Qualifications required:

1. Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Machine Learning, or a related field.
2. Proven experience working on Machine Learning projects, with a focus on NLP and LLMs; experience working with clinical data and/or in different languages is a plus.
3. Deep understanding of Machine Learning principles, including model design, training, validation, and evaluation, and other Artificial Intelligence techniques (Bayes, clustering, classification, PCA, etc.).
4. Fluency in Python is mandatory; proficiency in additional programming languages such as R, Java, or Scala is a strong advantage.
5. Demonstrated ability to work under pressure and deliver projects on time in a dynamic and collaborative environment.
6. Spanish fluency is mandatory.
7. Knowledge of additional European languages, such as English, French, German, Portuguese, or Italian, is highly advantageous.
8. Strong problem-solving skills and analytical mindset.
9. Effective communication and teamwork abilities.
10. Detail-oriented, with a strong commitment to delivering high-quality results.
11. Initiative and passion for staying ahead in the rapidly evolving field of Machine Learning and NLP.

We offer:

1. Work with a multidisciplinary team of clinicians, computer engineers, computational linguists, mathematicians, designers, medical Natural Language Processing expert programmers, and other disciplines.
2. An opportunity to provoke a positive impact on global health through technology.
3. An environment to express yourself and enjoy what you know.
4. Competitive salary conditions, flexible culture, and a development framework to grow your career.