Senior Clinical Data Scientist

About the role

In this position, you will play a key role in developing high-quality data products that enhance machine learning applications in clinical research. Collaborating with cross-functional teams, you will transform complex clinical data into structured datasets, ensuring they meet the needs of various stakeholders.

Key facts

What you'll do

• Convert clinical trial data, observational data, and electronic health records into well-organized datasets.
• Assess data quality and identify potential biases, proposing strategies to mitigate these issues.
• Analyze longitudinal datasets to gain insights into outcome measures, biomarkers, and variables relevant to clinical research across various disease areas.
• Work closely with data scientists, machine learning experts, engineers, and clinicians to create and maintain effective data products that are well-organized and thoroughly analyzed.
• Clearly communicate technical findings and data characteristics to both internal teams and external partners, including in client-facing situations.

Requirements

• Bachelor's degree or higher in Bioinformatics, Computer Science, Psychology, Public Health, or a related field.
• Minimum of 5 years of experience in data management, including data cleaning and harmonization from various sources.
• Proven experience with complex datasets and data analysis.
• Proficiency in Python and its key data science libraries (numpy, pandas).
• Experience in collaborative software development environments.
• Familiarity with clinical datasets in applied machine learning contexts.
• Background in multidisciplinary teamwork involving scientists, engineers, and product managers.
• Previous experience in client-facing roles, particularly in a forward-deployed capacity.
• Knowledge of clinical and healthcare data, as well as regulatory standards for clinical data (e.g., CDISC, ADaM, SDTM).

Nice to have

• Experience with advanced statistical analysis techniques.
• Familiarity with cloud computing platforms for data storage and processing.

Skills & tools

• Python
• Numpy
• Pandas
• Data visualization tools
• Machine learning frameworks

Practical notes

Compensation for this role ranges from $160,000 to $180,000, with equity options available. Unlearn offers a comprehensive benefits package, including full medical, dental, and vision coverage, a 401k plan with matching, flexible paid time off, and paid parental leave. The company is committed to fostering a diverse and inclusive workplace and encourages applicants from all backgrounds to apply.