31 Healthcare jobs in Amravati

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies.

We’re looking for an Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally.

About Us

Prospection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide .

What You’ll Do

• Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities.
• Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies.
• Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights.
• Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders.
• Partner with Product and Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision.
• Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation.
• Mentor junior team members, promoting analytical excellence and knowledge sharing.

Essential Criteria

• 5+ years’ experience in commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets.
• Proven expertise in SQL (advanced joins, window functions, aggregations) , Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualisation tools (Power BI, Excel VBA/Macros, Power Query ).
• Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO .
• Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting .
• Skilled in dashboard development, storytelling, and executive-level presentations .
• Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics ).
• Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations.

Why Join Prospection?

• Impact: Work on projects that improve healthcare delivery and patient outcomes globally.
• Growth: Be part of a rapidly scaling company with career advancement opportunities.
• Culture: Join a collaborative, mission-driven team passionate about healthcare and data.
• Learning: Access professional development, mentorship, and exposure to advanced analytics technologies.

If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Job Description – Healthcare Data Engineer – AI/ML Enablement

Location: Remote

Type: Contract

Accelyst is an innovative AI Consultancy that leverages a unique catalog of industry specific Agents and leading-edge AI platforms to deliver tangible, integrated, secure and ROI-optimized solutions. We combine deep industry and technical expertise to enable rapid deployment of innovative AI-driven capabilities to augment and automate client workflows for employees, customers, prospects, and investors.

Why Accelyst?

Join Accelyst to be part of a dynamic team that leverages AI-driven technology to make a positive impact. Our leadership, with Big Four Consulting experience, fosters a nimble, client-focused environment, minimizing bureaucracy to enhance delivery and professional growth. You'll work on complex AI projects that challenge and inspire, meeting high client expectations. Additionally, we benefit from our profit-sharing model, reflecting our commitment to respect and integrity for all employees.

Role Overview

We are seeking a Healthcare Data Engineer to support AI/ML initiatives through advanced data preparation and management. This role involves cleaning, rationalizing, normalizing, and integrating large healthcare datasets (claims, member, provider, clinical data) to ensure readiness for AI-driven analytics and automation. You will collaborate with data scientists, engineers, and AI teams to deliver high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.

In this role, you will be responsible for designing, developing, testing, and integrating data solutions to support automated workflows, bots and AI Agents that span legacy platforms, such as:

• Claims processing systems
• Member management platforms
• Provider network management systems
• Care management platforms

Responsibilities

• Perform data cleaning : identify and resolve errors, inconsistencies, duplicates, and missing values.
• Conduct data rationalization and normalization to align with healthcare data standards and structures (ICD-10, CPT, SNOMED).
• Aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).
• Execute data extraction workflows to generate AI-ready features.
• Conduct data quality assurance and validation checks to ensure reliability and accuracy.
• Collaborate with data scientists and AI/ML teams to align data preparation with project goals.
• Implement automation and scripting for efficient data handling.
• Maintain thorough documentation of data processes, transformations, and metadata.
• Ensure compliance with HIPAA, data governance, and security standards .

Qualifications

• Strong experience in healthcare data engineering (claims, EHR, clinical datasets).
• Proficiency in data cleaning, normalization, aggregation, and feature extraction .
• Knowledge of healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
• Proficiency with SQL, Python, and automation frameworks for data workflows.
• Hands-on experience integrating data from multiple healthcare systems and vendors .
• Knowledge of:
• Cloud-Based Solutions, for example: Amazon Web Services (AWS) with its healthcare-specific services, Microsoft Azure's healthcare cloud, and Google Cloud Healthcare
• APIs that provide scalable infrastructure for data storage, processing, and compliance with healthcare regulations, like HIPAA.
• Specialized Payer Platforms, such as Apixio, Veracyte and Health Catalyst.
• Enterprise Integration Platforms like Mulesoft, Informatica, and Talend.
• Excellent collaboration skills and ability to partner with AI/ML teams.
• Strong understanding of data governance, HIPAA compliance, and audit documentation .