
Data Science Manager - R&D (Life sciences)
- Gurgaon, Haryana
- Permanent
- Full-time
- Design and implement AI/ML solutions tailored to life sciences R&D needs, including drug discovery, clinical trials, and regulatory compliance.
- Develop and implement data science strategies that align with the overall goals of the R&D team and the organization.
- Lead the development of RFP responses, proposals, and POVs for potential and existing clients
- Build and maintain strong relationships with clients, acting as a trusted advisor on AI/ML capabilities
- Oversee project execution, ensuring timely and high-quality delivery
- Design and implement predictive models and machine learning algorithms to support research objectives
- Demonstrate proficiency with various approaches in regression, classification, and cluster analysis
- Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;
- Stay current with the latest advancements in data science and life sciences, and apply this knowledge to drive innovation.
- Communicate findings and insights to stakeholders through reports, presentations, and publications.
- Provide thought leadership and innovation through research and publication.
- Bachelor’s or Master’s in Data Science, Computer Science, Bioinformatics, or a related field.
- 10-14 years of experience in data science, with at least 2 years in a managerial role within the life sciences industry.
- Demonstrated experience in the life sciences industry, particularly in R&D.
- Proven track record of driving business development, including responding to RFPs and building POVs.
- Must have experience in statistical programming in R, SAS, SPSS, MATLAB, Python or TensorFlow
- Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks and tools.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
- Proven leadership and team management skills, with the ability to inspire and motivate a team.
- Excellent verbal and written communication skills, with the ability to present complex information clearly and effectively.
- Ability to work collaboratively in a multidisciplinary environment.