Location: India – Remote working Type: Full time Compensation: 20 - 30 lk p.a. Are you passionate about turning real-world data into real-world outcomes? At Prospection , we empower better healthcare decisions by uncovering insights from large-scale health data sets. We’re looking for an Analytics Consultant to join our fast-growing team. This hands-on role will drive high-impact analytics projects that help pharmaceutical companies, healthcare providers, and governments improve patient outcomes—across Australia and globally. About Us Prospection is a pioneer in healthcare analytics, using machine learning and predictive modelling to analyse real-world data—claims, EMR, registries, supply chain and more. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide. What You’ll Do Support lifecycle of pharmaceutical products, from development to market launch and beyond Assist in the development and optimization of new pharmaceutical Products Conduct patient-centric analyses to gain a comprehensive understanding of the end-to-end patient journey Conduct market research to identify trends, opportunities, and competitive landscape Develop detailed understanding of key customer and industry use cases and partner with Product and Sales to prioritize features and continually improve our Data and Platforms. Work closely with the regional analytics teams and subsequently collaborating with Product team to share learnings and the solution design Support the team to work alongside product squads providing practical advice on how to productise analytics solutions within our product vision and roadmap Consistently generate innovative ideas to shape best practices for analytics and serve as a mentor for less seasoned team members Essential Criteria 3+ years’ experience in commercial data analytics, data science or manipulating and drawing insights from data. Domain knowledge within healthcare and/or epidemiology, combined with analytical expertise utilising Real World Data (RWD) Prior experience with patient data and claims data is preferred Hands-on problem-solving experience using quantitative and analytical abilities and tools, e.g., Spark, SQL, Python, R, tableau, Power BI etc. Strong interpersonal communication skills, including written, verbal, presentation etc. Tertiary qualifications in a quantitative discipline (E.g., Mathematics, Statistics, Biostatistics, Health Economics, Computer Science, Actuarial Studies, Engineering) Why Join Prospection? Impact: Work on meaningful projects that improve patient care globally Growth: Be part of a scale-up with career advancement opportunities Culture: Join a collaborative, mission-driven team passionate about healthcare and data Learning: Access a wide range of professional development and mentorship opportunities If you're ready to make a real difference with data, we’d love to hear from you. Apply now Know someone perfect for this? Share this post!
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 3+ 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.
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.
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 a Senior 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 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 working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution. Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path. Proven client communication skills: confident running pharma stakeholder meetings , handling back-and-forth to refine scope, and presenting insights. Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices. Technical excellence : advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently. Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas. Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience. Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team. 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.