Senior Pharmaceutical Data Scientist - Remote

Our client, a leading biopharmaceutical company at the forefront of medical innovation, is actively seeking a highly skilled and experienced Senior Pharmaceutical Data Scientist to join their cutting-edge team. This is a fully remote position, offering the unique opportunity to leverage advanced data analytics, machine learning, and statistical modeling techniques to drive insights from complex pharmaceutical data. You will play a crucial role in accelerating drug discovery, optimizing clinical trial design, enhancing manufacturing processes, and improving patient outcomes.

The ideal candidate will possess a strong quantitative background, deep expertise in data science methodologies, and a passion for applying these skills within the pharmaceutical domain. You will collaborate with cross-functional teams, including researchers, clinicians, and bioinformaticians, to transform data into actionable intelligence. This role requires a proactive, innovative thinker who can tackle challenging scientific questions with data-driven solutions, contributing significantly to our client’s mission to revolutionize healthcare.

The role requires a high level of autonomy and a proven ability to deliver impactful results in a remote-first environment.

• Develop and implement advanced statistical models and machine learning algorithms to analyze large-scale pharmaceutical datasets (e.g., clinical trial data, real-world evidence, omics data, manufacturing data).
• Identify trends, patterns, and insights from complex data to inform decision-making in drug discovery, development, and commercialization.
• Design and execute experiments for model validation and performance evaluation.
• Collaborate closely with biologists, chemists, clinicians, and other domain experts to understand scientific questions and translate them into data science problems.
• Develop data visualizations and dashboards to communicate complex findings clearly to both technical and non-technical audiences.
• Contribute to the development of data infrastructure, pipelines, and best practices within the data science team.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the pharmaceutical industry.
• Mentor junior data scientists and contribute to a culture of scientific rigor and innovation.
• Proactively identify opportunities to apply data science to solve critical business challenges and advance research objectives.
• Ensure data integrity, reproducibility, and compliance with relevant data privacy regulations.

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Bioinformatics, Computational Biology, or a related quantitative field.
• Minimum of 5-7 years of experience in data science or a related analytical role, with a significant portion focused on the pharmaceutical or healthcare industry.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages commonly used in data science, such as Python or R, and their relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch, pandas).
• Experience with SQL and working with relational databases; familiarity with No
  
  SQL databases is a plus.
• Demonstrated ability to work with large, complex datasets from diverse sources.
• Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to a diverse audience.
• Strong problem-solving skills and a passion for tackling challenging scientific problems.
• Ability to work independently and collaboratively in a remote team environment.
• Experience with cloud computing platforms (e.g., AWS,…