Clinical Data Scientist - Patient Level Data Analysis

Job Summary

Startup Inno is seeking a detail-oriented and analytical Clinical Data Scientist specializing in Patient Level Data Analysis to join our growing data and research team. This role is critical in transforming complex clinical and real-world patient data into meaningful insights that support clinical development, regulatory submissions, and evidence-based decision making. The ideal candidate will combine strong statistical expertise, clinical domain knowledge, and advanced programming skills to drive high-impact analyses across clinical programs.

Key Responsibilities

• Analyze patient level clinical trial and real world datasets to generate actionable insights.
• Design and execute statistical analyses to support clinical development, safety evaluation, and outcomes research.
• Clean, standardize, and validate large scale clinical datasets ensuring data integrity and regulatory compliance.
• Develop and maintain reproducible analysis pipelines using statistical programming languages.
• Collaborate cross functionally with clinical, biostatistics, medical affairs, and regulatory teams.
• Create clear visualizations and reports to communicate findings to technical and non technical stakeholders.
• Support study design, protocol development, and statistical analysis planning.
• Ensure adherence to industry standards such as CDISC, SDTM, and ADaM where applicable.
• Contribute to publications, regulatory submissions, and internal knowledge sharing.
• Stay current with advancements in clinical analytics, real world evidence, and data science methodologies.

Required Skills and Qualifications

• Bachelors or Masters degree in Biostatistics, Statistics, Data Science, Epidemiology, Bioinformatics, or a related quantitative field.
• Strong proficiency in SQL and at least one statistical programming language (R, Python, or SAS).
• Solid understanding of clinical trial data structures and patient level data analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, or matplotlib/ggplot).
• Knowledge of clinical research processes and regulatory environments.
• Strong problem solving and analytical thinking abilities.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities in a fast paced environment.

Experience

• 3-6 years of experience in clinical data science, biostatistics, or healthcare analytics.
• Hands on experience working with clinical trial or real world healthcare datasets.
• Prior experience in pharma, biotech, CRO, or health tech environments preferred.
• Experience with CDISC standards (SDTM/ADaM) is highly desirable.
• Exposure to survival analysis, longitudinal data analysis, or causal inference methods is a plus.

Working Hours

• Full time position.
• Standard business hours with flexibility to collaborate across global time zones.
• Hybrid or remote work options may be available depending on project needs.
• Occasional extended hours may be required to meet critical project deadlines.

Knowledge, Skills, and Abilities

• Deep understanding of patient level data structures and clinical endpoints.
• Ability to translate complex statistical findings into business and clinical insights.
• Strong attention to detail and commitment to data quality.
• Collaborative mindset with the ability to work in cross functional teams.
• High level of integrity and adherence to data privacy and compliance standards.
• Self motivated with strong organizational and time management skills.
• Continuous learning mindset with interest in emerging clinical analytics methods.

Benefits

• Competitive salary and performance based incentives.
• Comprehensive health and wellness benefits.
• Flexible work arrangements and remote friendly culture.
• Professional development and certification support.
• Exposure to cutting edge clinical and real world data projects.
• Collaborative and innovation driven work environment.
• Paid time off and company holidays.