Data Scientist (India) (Remote)

JOB SUMMARY: In our Data & Analytics (D&A) organization, the Data Scientist plays a pivotal role in the development of analytics-driven solutions that optimize and streamline end-to-end clinical trial processes. Working closely with our D&A engineering team and clinical trial experts, this role will harness the power of cutting-edge technology and provide intelligence-based solutions to enhance decision-making in the clinical trial process. The Data Scientist is part of a team that is domain agnostic, working hands-on with structured as well as unstructured data, designing algorithms and implementing innovative capabilities that cater to an array of business use cases within our D&A function. As a core member of the D&A team, the Data Scientist will leverage the power of latest developments, tools, and libraries in the generative AI field to deliver clinical trial business solutions that are aligned to the organization’s strategic roadmap.

ESSENTIAL DUTIES/RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The accountabilities listed below are representative of the knowledge, skills, and/or ability required.

• 2+ years of progressive relevant work experience in:
• Data analytics, market research, and/or data mining, preferably in developing feasibility and clinical trial development strategies
• Machine learning and deep learning techniques and algorithms
• Common data science toolkits, ideally Python
• 1+ years of practical experience:
• Understanding and demonstrated experience mining, manipulating and presenting complex scientific data as it relates to clinical research or market analyses
• Experience with NoSQL databases and data platforms (databricks, snowflake, etc.)
• 6+ months experience analyzing large data sets, applying a variety of statistical techniques such as regression, discriminant analysis, cluster analysis; Bayesian Theory experience preferred
• Proven experience designing, developing, and integrating generative AI models or solutions (e.g., GPT, LLMs, diffusion models) into production environments or clinical research workflows
• Applied statistics skills, such as distributions, statistical testing, regression, etc.

SUPERVISORY RESPONSIBILITIES: None

TRAVEL REQUIREMENTS: 0% – 5%