19 Healthcare jobs in Nagpur

• Provide direct remote support and advocacy for individuals experiencing mental health conditions, focusing on recovery and personal development.
• Develop, implement, and regularly review personalized support plans in collaboration with individuals, their families, and other stakeholders.
• Facilitate and encourage engagement in community activities, social integration, and skill-building opportunities.
• Monitor and record individuals' progress, well-being, and any changes in their condition, reporting significant observations to the care management team.
• Offer emotional support, active listening, and practical assistance to individuals to help them manage daily challenges and achieve their goals.
• Ensure adherence to all relevant policies, procedures, and safeguarding protocols.
• Liaise with external agencies, healthcare professionals, and support networks to ensure integrated and coordinated care.
• Provide guidance and mentorship to junior support staff, sharing best practices and contributing to team development.
• Maintain accurate and confidential records of all interactions and interventions.
• Promote independence and self-advocacy among the individuals you support.

• Minimum of 3-5 years of experience in a direct care or support role within mental health services.
• Demonstrable knowledge of mental health conditions, recovery models, and therapeutic approaches.
• Excellent interpersonal and communication skills, with the ability to build rapport and trust remotely.
• Proven ability to develop and implement effective support plans.
• Strong understanding of safeguarding principles and vulnerable adults' rights.
• Experience in coordinating care and liaising with multi-disciplinary teams.
• Ability to work independently, manage time effectively, and maintain professional boundaries in a remote setting.
• Proficiency in using digital communication tools and electronic record-keeping systems.
• Relevant certifications or qualifications in social work, psychology, counseling, or a related field are highly desirable.
• A genuine passion for empowering individuals and promoting mental well-being.

• Develop and implement community outreach programs and strategies.
• Build and maintain relationships with community leaders and partner organizations.
• Organize and promote mental health awareness events and workshops.
• Create and distribute educational materials on mental health resources.
• Manage social media channels to engage target audiences.
• Identify and address barriers to accessing mental health services.
• Collect and analyze data on outreach efforts and community needs.
• Advocate for mental health awareness and support within the community.
• Liaise with internal teams to ensure seamless service delivery referrals.

• Bachelor's degree in Social Work, Public Health, Psychology, Sociology, or a related field.
• Minimum 4+ years of experience in community outreach, program coordination, or social services.
• Demonstrated experience in mental health advocacy or related work.
• Strong understanding of community dynamics and needs.
• Excellent communication, presentation, and interpersonal skills.
• Proficiency in digital marketing and social media management.
• Ability to work independently and manage a remote workload effectively.
• Experience in non-profit sector is advantageous.

• Coordinating all aspects of pediatric patient care, including appointments, referrals, and follow-ups.
• Maintaining accurate and up-to-date patient medical records within the EMR system.
• Acting as a primary point of contact for patients, families, and healthcare providers.
• Educating families about their child's condition, treatment plans, and available resources.
• Facilitating communication between physicians, specialists, and other healthcare professionals.
• Assisting families with insurance inquiries and navigating the healthcare system.
• Advocating for the needs of pediatric patients and ensuring their care plans are met.
• Utilizing virtual communication tools to provide support and guidance.
• Identifying and addressing potential barriers to care.

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 .

Role Overview: Support valuai.io, in the development of an innovative AI digital health and medical device platform, dedicated to transforming care for addiction, psychosis, neurological disorders, and pain management—with a strong focus on opioid use disorder and recovery. 

Role Type: This is a contractor role – part or full-time, fully flexible hours . Pay rate to be determined based on background, years of experience, degree of support to be provided, other.

Qualifications: We are focused on hiring students who are in the final stages of their graduate studies, in MBBS, PharmD, or PhD in neuroscience, psychiatry, pharmacology, or related fields .

• Preferred Pharm D Schools: 1) Jamia Hamdard University 2) National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad 3) Birla Institute of Technology and Science (BITS), Pilani 4) JSS College of Pharmacy 5) Institute of Chemical Technology (ICT)

• Preferred MBBS Schools: 1) All India Institute of Medical Sciences (AIIMS) 2) Christian Medical College (CMC) 3) Postgraduate Institute of Medical Education and Research (PGIMER) 4) National Institute of Mental Health & Neuro Sciences (NIMHANS) 5) Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER)

Clinical Expertise: Strong background in addiction medicine, substance use disorder treatment, psychosis, and/or pain management. Experience in patient assessment, diagnosis, and treatment planning. Familiarity with neurotherapeutics, MAT (medication-assisted treatment), and behavioral health strategies.

Therapeutic Focus: Substance use disorder treatments, and neurotherapeutic strategies, addressing a range of addictions, psychoses, neurological disorders, and chronic pain management (often presented as comorbidities)

Responsibilities: Key responsibilities include Clinical Assessment & Treatment Planning . Review of patient profiles and histories to formulate diagnoses and recommend evidence-based treatment strategies. Apply expertise in addiction medicine, pain/opioid management, psychosis, and neurological therapeutics. Product Development & Compliance: Provide clinical and scientific input into AI-driven tools to ensure accuracy, safety, and alignment with regulatory standards. Validate integration of treatment guidelines (APA, VA/DoD, NICE, ASAM, etc.) into the AI Healthcare platform. Research & Content Development Conduct literature reviews, interpret clinical trial data, and translate findings into actionable insights. 

Collaboration: Work with cross-functional teams—including engineering, AI, and product design—to integrate evidence-based guidelines, research, and other into the healthcare platform. Support ranges from testing identification, to diagnosis validation, to treatment therapy development, validation, plus.

Research & Content Development: Contribute to clinical data interpretation, literature review, and creation of high-quality medical content for healthcare providers and patients.

Impact: This is a rare opportunity to shape the future of digital addiction and neurological care. By combining clinical expertise with AI innovation, you will directly impact patient outcomes—improving diagnosis, treatment adherence, and engagement at scale.

About Us: 

We are a technology-driven healthcare company dedicated to closing healthcare gaps with digital pathology. 

Position Overview: 

We are seeking an experienced Business Analyst/ Scrum Master with strong experience in U.S. healthcare and Laboratory Information Systems (LIS). The ideal candidate will bridge the gap between business needs and technical solutions, lead Agile ceremonies, and ensure projects are delivered on time and aligned with organizational goals. Experience with digital pathology workflows is a strong plus. 

Key Responsibilities: 

● Collaborate with pathology and laboratory teams to gather requirements, manage product backlogs, and prioritize user stories. 

● Serve as the primary liaison between business stakeholders and technical teams, ensuring alignment on requirements and implementation. 

● Lead Agile/Scrum ceremonies including daily stand-ups, sprint planning, backlog refinement, and retrospectives. 

● Drive project execution with Agile best practices: track progress, identify risks, resolve blockers, and communicate updates to leadership. 

● Support change management, training, and user adoption activities as part of project rollouts and go-lives. 

Required Qualifications: 

● Must be detail-oriented. 

● 4+ years of experience as a Business Analyst, Project Manager, or Scrum Master in healthcare IT. 

● Certified Scrum Master (CSM), PMI-ACP, PMP, or equivalent certification. 

● Strong knowledge of U.S. healthcare workflows, compliance, and regulatory requirements (HIPAA, CLIA, CAP, etc.). 

● Hands-on experience with Laboratory Information Systems (LIS) — Epic Beaker, Cerner, Sunquest, Orchard, or equivalent. 

● Proven experience in Agile methodology, with ability to lead cross-functional scrum teams and facilitate Agile ceremonies. 

● Excellent communication, stakeholder management, and documentation skills. 

● Strong organizational skills with the ability to manage multiple priorities simultaneously. 

Preferred Qualifications: 

● Experience in digital pathology workflows and systems. 

● Prior involvement in healthcare system integrations, interoperability standards (HL7, FHIR, DICOM). 

● Technical familiarity with laboratory or imaging systems. 

What We Offer: 

● Opportunity to work at the intersection of technology and healthcare innovation. 

● A collaborative, mission-driven culture. 

● 100% remote work flexibility. 

● Competitive salary

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 .