Our client, a leading global pharmaceutical company, is seeking a highly skilled and experienced Remote Senior Pharmaceutical Data Scientist to join their innovative drug discovery and development team. This is a fully remote position, allowing you to leverage your expertise in data analysis, machine learning, and statistical modeling to drive breakthroughs in medicine from anywhere. You will be instrumental in extracting insights from complex biological and clinical datasets, accelerating the identification and development of novel therapeutics.
The ideal candidate will possess a deep understanding of statistical methods, machine learning algorithms, and programming languages commonly used in data science (e.g., Python, R). You will be responsible for developing and implementing advanced analytical models to support various stages of the drug lifecycle, including target identification, lead optimization, clinical trial design, and real-world evidence analysis. Your work will involve collaborating closely with biologists, chemists, clinicians, and bioinformaticians to interpret results and translate data-driven findings into actionable strategies.
Key responsibilities include exploring and preparing large, multi-modal datasets, building predictive models, and designing experiments to validate hypotheses. You will stay abreast of the latest advancements in computational biology, machine learning, and pharmaceutical research, applying them to solve challenging problems. This role requires excellent communication skills to present complex findings to both technical and non-technical audiences. Experience with big data technologies and cloud computing platforms (AWS, Azure, GCP) is highly desirable. We are looking for a proactive, results-oriented individual with a strong scientific curiosity and a commitment to improving patient outcomes through data-driven insights. The ability to manage multiple projects simultaneously and work effectively in a collaborative, remote environment is essential.
Qualifications:
Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field. Minimum of 5-7 years of experience as a Data Scientist, with a significant focus on the pharmaceutical or biotechnology industry. Proven expertise in statistical modeling, machine learning, and data mining techniques. Proficiency in programming languages such as Python and R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, NumPy, Pandas). Experience working with large, complex datasets (genomics, proteomics, clinical trial data, real-world evidence). Familiarity with bioinformatics tools and databases is a strong asset. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop). Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences. Demonstrated ability to work independently and collaboratively in a remote setting. A passion for applying data science to solve critical challenges in healthcare. This is a unique opportunity to make a significant impact on drug discovery and development in a fully remote capacity. Join a world-class team and contribute to the advancement of life-saving medicines.
