Scientist - Therapeutic Data Intelligence (Remote)

We are seeking a Data Intelligence Scientist to join the Therapeutic Data Intelligence vertical of our Customer Therapeutics (CT) Team. Reporting to the Customer Therapeutics Lead - Therapeutic Data Intelligence, you will join our mission of empowering client success through high-quality, customer-centric data insights through close collaboration with an array of professionals including Scientists, Scientific Liaisons, and our Go-To-Market, Product, Data, and Discovery teams. This role will be pivotal to supporting our customers in their therapeutic discovery by identifying and addressing data gaps, refining data quality, and leveraging data-driven insights to guide strategic decision making. You will be part of a collaborative team dedicated to transforming data into actionable intelligence that enhances the relevance and impact of our offerings to our customers.

You Will:

• Analyze customer data and internal datasets to identify gaps, trends, and quality issues. Translate these findings into actionable insights that support therapeutic discovery and address unmet client needs.
• Conduct routine data quality assessments across Therapeutic Areas (TAs) and proactively identify areas for improvement.
• Work with internal teams to set and maintain high standards for data quality.
• Collaborate with cross-functional partners to incorporate customer-derived insights into the data foundations, improving the relevance and depth of data solutions for customer accounts.
• Support the integration of new data sources, ensuring that data quality and coverage meet therapeutic area needs.
• Participate in exploratory and proactive projects focused on addressing data gaps and bolstering the data roadmap.
• Work closely with other teams to provide visibility into data insights, helping to drive proactive, data-driven decisions.
• Conduct assessments at the therapeutic area level to evaluate BenchSci’s data health and coverage, providing recommendations to guide roadmap development and strategic rollout plans.

You Have:

• PhD or MSc in Bioinformatics, Life Sciences, or a related field.
• Proficiency in data analysis tools and software (e.g., SQL, Python, R) with a demonstrated ability to analyze large datasets and derive meaningful insights.
• 3+ years of experience in data analysis, data quality assessment, or data integration, preferably in the biotech or pharmaceutical industry.
• Strong understanding of therapeutic areas, therapeutic data intelligence, or related scientific data processes in the biological sciences.
• Experience with data curation, quality control, and establishing best practices for data integrity.
• Excellent communication and interpersonal skills, with an ability to work collaboratively across cross-functional teams.
• Self-starter with a proactive approach to problem-solving and a keen eye for detail.
• High level of organization, time management, project management, and attention to detail.