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.

Why Join

At Startup Inno, you will work at the intersection of data science and clinical innovation. We foster a culture of curiosity, ownership, and impact, where your analyses directly contribute to improving patient outcomes and advancing healthcare solutions. This is an opportunity to grow your career while working on meaningful, high-visibility projects with a talented and supportive team.

How to Apply

Interested candidates should submit their updated resume along with a brief cover letter highlighting relevant experience in clinical or patient-level data analysis. Shortlisted applicants will be contacted for the next steps in the selection process.