Data Science Lead, Clinical Intelligence
Anervea.AIbhubaneswar, orissa, in30+ days ago
Job descriptionMaster’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. 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. 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.
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
Preferred Skills
What We Offer
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