About the Role
Our client, a forward-thinking research institution, is seeking a highly motivated and experienced Senior Data Scientist to join their dynamic R&D team. This is a critical role focused on advancing pharmaceutical research through sophisticated data analysis and predictive modeling. The ideal candidate will leverage their expertise to uncover insights from complex datasets, contributing directly to the development of novel therapeutic solutions. The position offers a unique opportunity to work at the forefront of medical innovation in a collaborative and intellectually stimulating environment located in the vibrant city of Toluca, State of Mexico . You will be instrumental in shaping the future of drug discovery and patient care.
Key Responsibilities
- Develop and implement advanced statistical models and machine learning algorithms for drug discovery and development.
- Analyze large-scale biological, chemical, and clinical datasets to identify patterns, trends, and potential drug targets.
- Design and conduct experiments to validate hypotheses and refine predictive models.
- Collaborate closely with biologists, chemists, and clinicians to understand research objectives and translate them into data-driven solutions.
- Visualize and communicate complex findings to both technical and non-technical stakeholders through compelling reports and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and pharmaceutical research.
- Contribute to the development of data infrastructure and best practices within the R&D department.
- Ensure data integrity and adherence to regulatory guidelines throughout the research process.
Requirements
- Master's or Ph.D. in Computer Science, Statistics, Bioinformatics, or a related quantitative field.
- Proven experience (5+ years) as a Data Scientist, with a strong focus on R&D or pharmaceutical applications.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Solid understanding of statistical modeling, machine learning techniques, and experimental design.
- Experience working with large, complex datasets, including biological and clinical data.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary team.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
Benefits
- Competitive salary and comprehensive benefits package designed to support employee well-being and professional growth.
- Health insurance.
- Paid time off.
- Opportunities for continuous learning and professional development.
- Access to cutting-edge research facilities.
- Stimulating work environment that fosters innovation and teamwork.
- Flexibility of a hybrid work model.
- We believe in work-life balance and provide resources to help our team thrive both personally and professionally.
- Join us and make a tangible impact on global health from Toluca, State of Mexico .