Clinical Analytics Consultant

Job Requirements

Company Overview

ConcertAI's mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. ConcertAI's leading real-world evidence, AI technology and software-as-a-service solutions support healthcare decision-making across clinical research & development through commercialization. Top biopharma sponsors, clinical research organizations, healthcare providers and institutions rely on ConcertAI's evidence-generation and digital transformation capabilities to advance precision medicine and medical innovation.

ConcertAI has emerged as one of the fastest growing AI health tech companies backed by industry-leading private equity companies: SymphonyAI Group, Declaration Partners, Maverick Ventures, and AllianceBernstein PCI.

Role Summary

CAI is looking for a Clinical Analytics Consultant within the Product Success organization. This Clinical Analytics Consultant will support the Strategic Data Science team by building data pipelines that aid the implementation of CAI's leading real-world data products and clinical cloud capabilities. You will be part of the team providing strategic guidance for our pharmaceutical and biotechnology partnership requests for real-world data (RWD) consultation, about RWD fueled platforms, and related to RWD analytic services to ensure that the right CAI experts are leveraged at the right time and that optimal value from CAI products are realized.

The successful candidate will have experience effectively communicating both technical and conceptual metric definitions and demonstrating the utility of data assets, such as RWD, to development programs and lifecycle management. The candidate will be expected to quickly develop a deep understanding of all CAI data products and technology platforms. This role reports to the Strategic Data Scientist for Product Success.

Responsibilities

• Support broader Customer/Product Success: Strategic Data Sciences team in establishing and maintaining key partner stakeholder relationships at the largest pharmaceutical and biotechnology companies, with particular focus in clinical data

• documentation

• Scale existing business analytics logic into reusable data assets for downstream technology solutions

• Deploy solutions for Customer Success to best answer client business requirements related to CAI data, technology, analytics, and outcomes studies

• Be a technical liaison between Customer Success client-facing teams and CAI Data Operations, Cloud Operations, and Informatics teams to harmonize the data pipeline across the enterprise

• Apply and evangelize software development processes to analytics workflows

• Collaborate with business development and customer success to expand accounts and to meet internal business unit metrics

• Assist CAI business units with coordinating delivery schedules and strategically enhance products for optimal integration into partner workflows

Requirements:

• PhD and/or Master's degree, or an equivalent duration of professional experience in a quantitative field such as computational biology, bioinformatics, health informatics, clinical data science, epidemiology, genetics, or a related discipline

• 3+ years of experience in life sciences or biotech in a Data Science/ Engineering/Clinical Data Analyst role

• Professional experience using dbt (data build tool)

• 2+ years of experience applying SQL, Data Modeling, and Data Warehousing fundamentals, utilizing analytics/engineering tools such as: cloud-based platforms (e.g. Redshift, Snowflake), orchestration (e.g. Airflow, Prefect), transformation (e.g. dbt)

• Strong SQL (preferably Redshift) and analytical programming skills (Python and R) following software development principles (e.g. version control, data unit testing, CI/CD)

• Experience with ELT or analysis of transactional patient-level, RWD, or electronic health record (EHR) data models

• Working knowledge of Python (preferred) or R, and SQL

• Working knowledge of Git/GitHub

• Excellent communication skills and ability to 'translate' between the data and the business, via layman's terminology of complex analytical methods

• Excellent time management skills: prioritizing across competing timelines, contributing to multiple projects, and updating team members on deliverable expectations

• Collaborative attitude with on-the-job teaching/learning/skill sharing

• Comfortable with ambiguity/flexibility

• Excellent listener and strategic independent thinker/worker.

Qualifications that would be a plus:

• Supporting real-world data (RWD) client projects

• Solid knowledge of genetics, molecular biology, and sequencing technologies.

• SaaS experience and development of SaaS metrics

• Agile development experience

• Oncology experience

Learn More About ConcertAI

Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes. We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at www.concertai.com, or follow us on LinkedIn.

EEO

ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.