4,714 Data Intelligence jobs in India
Oracle Fusion Data Intelligence
Posted today
Job Viewed
Job Description
Greetings from Maneva!
Job Description
Job Title - Oracle Fusion Data Intelligence
Experience - 8- 15 Years
Location - PAN India
Notice - Immediate to 15 days
Requirements:-
- The Candidate must have 8–10 years of experience in Oracle Analytics domain and possess strong experience in Oracle FAW/FDI area along with Oracle Fusion Cloud skills.
- The Candidate must have experience working on a minimum of 2 Fusion Data Intelligence/ FAW implementation projects.
- The Candidate must have good experience in developing and testing reporting solutions using FAW/FDI and OAC.
- The Candidate must have good experience in provisioning FAW, verifying FAW prerequisites, configuring and activating pipeline data loads, Data Augmentation, Semantic Extension and performing FAW data validation.
- The Candidate must have good experience in implementing Custom Security (Object, Data) using FAW/FDI.
- The Candidate must have good experience in monitoring the health of OAC, FAW application and cloud services.
- The Candidate must have good experience in integrating disparate Enterprise Datasets (txt, csv, etc.,) and databases (relational and NoSQL) into FAW/FDI.
- The Candidate must have good experience in designing and implementing Fusion Analytics Data Warehouses to support comprehensive and insightful data analysis.
- The Candidate must have extensive hands-on implementation experience in creating advanced Analysis, Visualizations & Dashboards using FAW/OAC/OBIEE.
- The Candidate should have the ability to perform in a dynamically changing environment.
- The Candidate should have good hands-on experience in FAW/FDI, OTBI, OAC, BI Publisher & OBIEE, BIP.
- Design, develop, maintain and deliver key Oracle Analytics/ Fusion Analytics Warehouse (FAW) Reporting Dashboards, Analytics and extracts.
- The Candidate must have good experience with FAW/FDI Extensibility – Data Extensibility, Semantic Layer Extensibility and Content Extensibility.
- The Candidate must have good experience in developing reports and building graphs/charts/tables, working with Variables and Filter components within FAW/FDI.
- The candidate should have the ability to perform in a dynamically changing environment.
If you are excited to grab this opportunity, please apply directly or share your CV at and
Data Science Lead, Clinical Intelligence
Posted 24 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Data Science Lead, Clinical Intelligence
Posted today
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Data Science Lead, Clinical Intelligence
Posted 22 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Data Science Lead, Clinical Intelligence
Posted 22 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Data Science Lead, Clinical Intelligence
Posted 22 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Data Science Lead, Clinical Intelligence
Posted 22 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
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Data Science Lead, Clinical Intelligence
Posted 22 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Data Science Lead, Clinical Intelligence
Posted 22 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.
Data Science Lead, Clinical Intelligence
Posted 22 days ago
Job Viewed
Job Description
Job Description: Data Science Lead, Clinical Intelligence
Company Overview
Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.
Job Title
Data Science Lead, Clinical Intelligence
Location
Pune, India (hybrid office/remote) or fully remote within India.
Job Summary
We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.
Key Responsibilities
- Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
- Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
- Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
- Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
- Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
- Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
- Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.
Qualifications and Requirements
- Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
- 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
- Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
- Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
- Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
- Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
- Based in India; open to remote or hybrid work in Pune.
- Strong leadership and communication skills for global client collaboration.
Preferred Skills
- Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
- Knowledge of SaaS platforms and API integrations for client data.
- Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
- Expertise in mitigating data biases for fair AI predictions.
What We Offer
- Highly Competitive salary based on experience with performance bonuses.
- Flexible remote/hybrid work, health benefits, and learning opportunities.
- Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
- Collaborative, global team environment.