Job Summary

Startup Inno is seeking a highly motivated and detail-oriented Clinical Data Scientist – Patient Level Data Analysis to join our growing data and research team. In this role, you will be responsible for analyzing complex clinical and patient-level datasets to generate actionable insights that support clinical research, regulatory submissions, and real-world evidence generation. You will collaborate closely with clinicians, biostatisticians, data engineers, and product teams to drive data-informed decisions that improve patient outcomes and accelerate healthcare innovation.

The ideal candidate has a strong background in clinical data, statistical modeling, and healthcare analytics, with a passion for transforming raw data into meaningful insights that impact patient care and business strategy.

Key Responsibilities

• Analyze large-scale patient-level clinical data from clinical trials, EHRs, registries, and real-world data sources.

• Design and implement statistical models and machine learning algorithms to support clinical research and outcomes analysis.

• Perform data cleaning, validation, and quality checks to ensure accuracy and regulatory compliance.

• Develop predictive and descriptive analytics models for patient outcomes, risk stratification, and treatment effectiveness.

• Collaborate with cross-functional teams including clinicians, regulatory teams, and product managers.

• Create dashboards, visualizations, and reports to communicate findings to both technical and non-technical stakeholders.

• Support regulatory submissions and publications with high-quality data analysis and documentation.

• Ensure compliance with data privacy and security standards (HIPAA, GDPR, GCP).

• Contribute to the development of scalable data pipelines and analytical frameworks.

Required Skills and Qualifications

• Masters or PhD in Data Science, Biostatistics, Statistics, Computer Science, Bioinformatics, or a related field.

• Strong proficiency in Python or R for statistical analysis and data modeling.

• Experience with SQL and working with large relational and non-relational databases.

• Solid understanding of clinical trial data standards (CDISC, SDTM, ADaM).

• Knowledge of statistical techniques such as regression analysis, survival analysis, and time-series modeling.

• Experience with data visualization tools such as Tableau, Power BI, or Python/R libraries.

• Familiarity with machine learning frameworks (scikit-learn, TensorFlow, PyTorch is a plus).

• Strong analytical thinking and problem-solving skills.

Experience

• 3–7 years of experience in clinical data analysis, healthcare analytics, or life sciences research.

• Prior experience working with patient-level data from clinical trials or real-world evidence studies.

• Experience in pharmaceutical, biotech, CRO, or healthcare technology environments is highly preferred.

• Proven track record of delivering end-to-end data science projects in clinical or healthcare domains.

Working Hours

• Full-time position (40 hours per week).

• Flexible working hours with core overlap for team collaboration.

• Remote or hybrid work options depending on location and project requirements.

Knowledge, Skills and Abilities

• Deep understanding of clinical research methodologies and healthcare data structures.

• Ability to translate complex analytical results into clear business and clinical insights.

• Strong communication and stakeholder management skills.

• High attention to detail and strong data governance mindset.

• Ability to work independently and manage multiple projects in a fast-paced environment.

• Continuous learning mindset with interest in emerging healthcare technologies and AI innovations.

Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health insurance and wellness programs.

• Flexible work arrangements (remote/hybrid).

• Learning and development budget for certifications and conferences.

• Paid time off, holidays, and sick leave.

• Opportunity to work on cutting-edge healthcare and clinical innovation projects.

• Inclusive and collaborative company culture.

Why Join Startup Inno?

At Startup Inno, we are redefining how data drives healthcare innovation. You will be part of a mission-driven organization focused on improving patient outcomes through advanced analytics and technology. We offer a dynamic startup environment with real impact, where your work directly contributes to better clinical decisions and healthcare solutions. This is an excellent opportunity to grow your career while working on meaningful, real-world healthcare challenges.

How to Apply

Interested candidates should submit their updated resume along with a brief cover letter highlighting relevant experience in clinical data analysis and healthcare analytics. Selected candidates will be contacted for an initial screening followed by technical and stakeholder interviews.