Executive Data Science Analytics Jobs in Indiana

Job Summary:
Diverse Lynx is seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse and advanced analytics to design, build, and deploy scalable data science and AI solutions. The role involves transforming enterprise data into actionable insights using machine learning and natural language analytics, working closely with teams across the pharma and life sciences industry.
Responsibilities:
• Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python) for pharma and life sciences use cases
• Implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, deployment, and monitoring
• Build predictive models for patient identification, HCP segmentation, market access analytics, pharmacovigilance, and safety signal detection
• Apply NLP and generative AI techniques (LLMs, RAG pipelines) to extract insights from medical literature, clinical notes, and regulatory documents
• Conduct A/B testing, model validation, and statistical analysis to evaluate model performance and business impact
• Collaborate with data engineers to ensure reliable, high-quality, production-ready datasets in the Lakehouse
• Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable, governed, and high-performance analytics
• Design and optimize Spark jobs for performance and cost efficiency across large-scale pharma datasets
• Apply best practices for data governance, data lineage, and security within Unity Catalog
• Build and maintain Bronze / Silver / Gold Medallion architecture for clinical, claims, and commercial data
• Implement Delta Live Tables (DLT) pipelines with data quality checks for real-time and batch processing
• Configure and manage Databricks Workflows, Repos, and cluster policies for production ML workloads
• Configure and enable Databricks Genie for self-service analytics across business and scientific teams
• Design semantic layers and curated Gold datasets optimized for natural language queries via Genie
• Define certified questions, trusted assets, and business glossary terms to improve Genie response quality
• Partner with business stakeholders to translate complex pharma questions into Genie-enabled insights
• Monitor and iterate on Genie Spaces based on user feedback, query accuracy, and adoption metrics
• Enable non-technical users across Medical Affairs, Commercial, and R&D to self-serve data insights
• Analyze real-world data (RWD), electronic health records (EHR), claims data, and clinical trial datasets to generate actionable insights
• Build scalable data pipelines for pharma-specific sources including IQVIA, Symphony Health, Komodo, and specialty pharmacy data
• Apply survival analysis, mixed models, and Bayesian methods for epidemiology and health economics (HEOR) studies
• Ensure all models and data processes comply with HIPAA, GxP, and 21 CFR Part 11 regulations
• Work closely with product owners, analysts, and business leaders to identify and prioritize high-value data science use cases
• Communicate complex analytical results and model outputs in a clear, business-friendly manner to non-technical audiences
• Produce analytical documentation: model cards, design specs, performance reports, and executive summaries
• Lead sprint ceremonies as analytics owner: architecture reviews, estimation sessions, and release planning
Qualifications:
Required:
• Experience: 4+ years of professional experience in data science or advanced analytics, preferably in pharma, biotech, or life sciences
• Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field
• Databricks: Hands-on experience with Databricks and Apache Spark for large-scale data processing and ML workloads
• Python: Strong programming skills in Python — PySpark, Pandas, NumPy, Scikit-learn — for data science and ML development
• MLflow: Experience building and deploying ML models in production using MLflow for experiment tracking and model lifecycle management
• SQL: Solid understanding of SQL and data modeling for analytical and reporting workloads on large datasets
• Delta Lake: Experience with Delta Lake, Unity Catalog, and Medallion architecture (Bronze / Silver / Gold) for Lakehouse analytics
• Genie / AI-BI: Familiarity with Databricks Genie or AI/BI tools for natural language querying and self-service analytics
• Healthcare Data: Experience working with clinical, claims, or real-world healthcare data (EHR, RWD, specialty pharmacy)
• Compliance: Familiarity with HIPAA compliance and handling of sensitive patient data in regulated environments
• Communication: Strong communication skills — ability to translate complex models and analysis into clear, actionable business insights
Preferred:
• Experience with Databricks Genie Spaces configuration, semantic layer design, and certified question management
• Hands-on experience with Delta Live Tables (DLT) for streaming and batch data quality pipelines
• Familiarity with LLMs, RAG pipelines, or generative AI for medical and scientific use cases
• Knowledge of GxP validation and 21 CFR Part 11 compliance for production ML models
• Experience with IQVIA, Symphony Health, Komodo Health, or similar pharma data vendors
• Familiarity with clinical trial data standards: CDISC, SDTM, ADaM
• Experience with pharmacovigilance, drug safety signal detection, or regulatory analytics
• Knowledge of AWS or Azure cloud services for ML deployment: SageMaker, Azure ML, Lambda, or equivalent
• Databricks certifications: Databricks Certified Machine Learning Professional or Data Engineer Associate
• PhD in a quantitative or life sciences field is a plus
• Prior experience in large-scale IT consulting or services delivery (TCS, Infosys, Client, Wipro, or similar)
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.