Inductive Quotient Analytics

Inductive Quotient Analytics (IQA) is a clinical technology company specializing in accelerating drug development through AI-driven solutions for the life sciences and healthcare industries. They offer end-to-end services including Biometrics (Biostatistics, Clinical Data Management, Statistical Programming, Medical Writing, Medical Coding, Real World Evidence) and Digital Transformation (Data Science, Data Engineering, Data Visualization, Decentralized Clinical Trials). Their product suite includes Inductive EDC for data capture and Site Insights, a Generative AI solution for site identification. IQA leverages AI/ML, data analytics, and deep learning to provide transformative and reliable results, aiming to modernize clinical trials and bring treatments from research to patients faster.

AIBiostatisticsClinical TrialsClinTechCROData ManagementDigital TransformationLife Sciencesinductivequotient.com

Inductive Quotient Analytics

AIBiostatisticsClinical TrialsClinTechCROData ManagementDigital TransformationLife Sciencesinductivequotient.com

HQHyderābād, IN

Team Size116

Open Jobs5

Total Funding-

Latest FundraiseUnknown

Join the Team

Clinical Data Engineer

On-SiteHyderabad, Telangana, IN

On-Site • Hyderabad, Telangana, IN

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Machine Learning Engineer

InternshipHaifa

Internship • Haifa

Machine Learning Engineer

Part-timeRotterdam, NL

Part-time • Rotterdam, NL

Frontend Developer

ContractUtrecht, NL

Contract • Utrecht, NL

Machine Learning Engineer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Frontend Developer

Full-timeUtrecht, NL

Full-time • Utrecht, NL

Software Engineer

InternshipBerlin, DE

Internship • Berlin, DE

CLINICAL DATA ENGINEER The Clinical Data Engineering team provides strategic planning, integrating, execution, build and oversight of clinical trial deliverables. The CDE leads the integration, design, development, and execution of data pipelines for the ingestion of clinical data from all sources at an enterprise level at the study level. The CDE is an enterprise level role and is primarily responsible for ensuring smooth end to end processes for data collection/ingestion from all data collection sources, providing an output into a data lake that is fit for use by downstream end users. Accountabilities

Serve as a technical expert in building data pipelines for the ingestion and delivery of clinical data at the study level, supporting study start- up, conduct, and close-out activities.
lead the planning, execution, and delivery of data pipeline initiatives across clinical trials.
Develop robust data pipelines for integrating heterogeneous data sources.
Identify, design, and implement scalable data delivery solutions, automating manual processes whenever possible.
Provide technical leadership in all aspects of clinical data flow, including defining, building, and validating application programming interfaces (APIs), data streams, and data staging for extraction and integration across systems.
Manage, maintain, and troubleshoot pipelines within data lakes or data warehouses, ensuring ongoing reliability and quality.
Develop and implement comprehensive data integrity and quality checks throughout the data ingestion process.
Prepare functional areas for submission readiness and represent the Clinical Data Engineering group in formal inspections or audits.
Represent Takeda in interactions with key external partners.
Design and build infrastructure for optimal data extraction, transformation, and loading (ETL/ELT) using cloud platforms such as AWS or Azure.
Collaborate with downstream users—including statistical programmers, SDTM programmers, analytics, and clinical data programmers—to ensure deliverables meet end-user requirements.
Appropriately escalate issues to CDE leadership as needed.

Job Description Education & Competencies (Technical and Behavioral):

BS/BA required in a health-related, life science area or technology-related fields.
Minimum of 5 years’ technology experience.
May lead study level negotiation and agreement for data transfer or integration on behalf of Sponsor.
should be able to function collaboratively (with some guidance) with all levels of employees
Critical thinking

Technical/Functional (Line) Expertise

Proficient with Python, SQL, and NoSQL databases.
Hands-on cloud experience with AWS/Azure/GCP.
Hands-on experience with big data processing frameworks like Apache Spark
Familiarity with any one of GitLab, GitHub, and Jenkins for version control and CI/CD.
Proven expertise in deploying data pipelines in cloud environments and scheduling it using Airflow.
Skilled in setting up and managing data warehouses and data lakes (e.g., Snowflake, Amazon Redshift).
Efficient in designing, developing, and maintaining scalable data pipelines for large datasets.

Skills: snowflake,api,sdtm,jenkins,amazon redshift,data lakes,clinical trial,etl,ci/cd