Manager- Data Science

For almost 30 years, Beghou Consulting has been a trusted adviser to life science firms. Together we combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all of which are rooted in advanced analytics, to enhance commercial operations and boost sales performance.

As a Data Science Manager, you will lead the team in leveraging advanced analytics, machine learning, and generative AI techniques to extract insights from complex datasets. Your primary goal will be translating these insights into actionable strategies that optimize drug discovery, clinical development, and commercial delivery. Your expertise in generative AI will be crucial for identifying and exploring new use cases in life sciences, driving innovation, and advancing our business development efforts. You will collaborate closely with cross-functional teams to enable data-driven decision-making and effectively communicate insights to both technical and non-technical audiences.

We'll trust you to:

• Lead and mentor a team of data scientists, guiding project execution, methodology selection, and professional development.
• Collaborate with stakeholders to define project objectives, deliverables, and success criteria, ensuring alignment with business goals and priorities.
• Design and implement advanced analytics solutions to address complex drug discovery, clinical development, and commercialization challenges.
• Apply machine learning techniques, including deep learning and generative AI, to analyze diverse datasets (structured and unstructured) and generate actionable insights.
• Drive innovation by staying abreast of emerging trends, technologies, and best practices in data science and the pharmaceutical industry.
• Establish robust data collection, preparation, and validation processes, ensuring the reliability and integrity of analytical models and findings.
• Communicate findings and recommendations to technical and non-technical stakeholders through clear, compelling visualizations, presentations, and reports.
• Collaborate with IT and data engineering teams to optimize data infrastructure and facilitate seamless integration of analytics solutions into existing systems.
• Develop advanced algorithms to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Execute and manage projects demanding the application of advanced analytics techniques (e.g., descriptive/inferential statistics, machine learning, NLP, and Neural Networks) on large, unstructured data sets to identify key actionable insights.
• Lead client communications, and internal stakeholder conversations, and manage workstreams.
• Evaluate emerging datasets, business areas, and technologies.
• Participate and contribute to thought leadership through active innovation, research, and publication.

You'll need to have:

• Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) required; Ph.D. preferred.
• 6+ years of experience in data science, with a proven track record of delivering impactful solutions in the pharmaceutical and life sciences industry.
• Strong proficiency in machine learning, statistical analysis, and data manipulation using Python, R, or similar state-of-the-art tools. Experience in the development and deployment of large-scale products/solutions is preferred.
• Experience with generative AI development and associated techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and RL (Reinforcement Learning), preferred.
• Demonstrated leadership skills, with experience managing and mentoring a team of data scientists and collaborating with other stakeholders (consulting, IT, etc.).
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. Client management experience is a plus.
• Strong problem-solving and critical-thinking abilities, with a research-oriented mindset and passion for tackling challenging problems, driving innovation in healthcare using ever-evolving AI techniques.

· We treat our employees with respect and appreciation, not only for what they do but who they are.

· We value the many talents and abilities of our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth.

· You will have the opportunity to work with and learn from all levels in the organization, allowing everyone to work together to develop, achieve, and succeed with every project.

· We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients, but also to becoming leaders in sales and marketing analytics.