healthcare data scientist

Prime Tek Embedded

<p><b>Data Scientist - Clinical Data Extraction &amp; AI Integration</b></p><p><b>Experience Level:</b> 3-6 Years<br/><b>Location:</b> [Chennai/Hybrid]<br/><b>Employment Type:</b> Full-time</p><p><b>About the Role</b></p><p>We are seeking an experienced Data Scientist to join our healthcare technology team, focusing on medical document processing and data extraction systems. You'll be working with cutting-edge AI technologies to build robust solutions that extract critical information from clinical documents, improving healthcare data workflows and patient care outcomes.</p><p><b>Key Responsibilities</b></p><p><b>Data Science &amp; Analytics</b></p><ul><li>Design and implement statistical models for medical data quality assessment</li><li>Develop predictive algorithms for encounter classification and validation</li><li>Build machine learning pipelines for document pattern recognition</li><li>Create data-driven insights from clinical document structures</li><li>Implement feature engineering for medical terminology extraction</li></ul><p><b>Advanced Analytics &amp; ML</b></p><ul><li>Apply natural language processing (NLP) techniques to clinical text</li><li>Develop statistical validation frameworks for extracted medical data</li><li>Build anomaly detection systems for medical document processing</li><li>Create predictive models for discharge date estimation and encounter duration</li><li>Implement clustering algorithms for provider and encounter classification</li></ul><p><b>AI &amp; LLM Integration</b></p><ul><li>Integrate and optimize Large Language Models via AWS Bedrock and API services</li><li>Design and refine AI prompts for clinical content extraction with high accuracy</li><li>Implement fallback logic and error handling for AI-powered extraction systems</li><li>Develop pattern matching algorithms for medical terminology</li><li>Create validation layers for AI-extracted medical information</li></ul><p><b>Healthcare Domain Expertise</b></p><ul><li>Work with medical document structures</li><li>Implement healthcare-specific validation rules</li><li>Handle medical terminology extraction and clinical context analysis</li><li>Ensure HIPAA compliance and data security best practices</li></ul><p><b>Technologies &amp; Tools</b></p><ul><li><b>Languages:</b> Python 3.8+, R, SQL, JSON</li><li><b>Data Science Stack:</b> pandas, numpy, scipy, scikit-learn, spaCy, NLTK</li><li><b>ML Frameworks:</b> TensorFlow, PyTorch, transformers, huggingface</li><li><b>Visualization:</b> matplotlib, seaborn, plotly, Tableau, PowerBI</li><li><b>AI Platforms:</b> AWS Bedrock, Anthropic Claude, OpenAI APIs</li><li><b>Cloud Services:</b> AWS (SageMaker, S3, Lambda, Bedrock)</li><li><b>Research Tools:</b> Jupyter notebooks, Git, Docker, MLflow</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;2,000,000.00 - &#8377;3,000,000.00 per year</p><p>Work Location: In person</p>

Data Scientist

Oracle

<div><p>At Oracle Health, we are advancing healthcare through intelligent data-driven solutions. As a Data Scientist, you will contribute to model development and data analysis efforts that help transform clinical and operational data into meaningful insights.
</p><p>You will work closely with senior scientists to prepare data, build models, and evaluate performance&mdash;developing hands-on expertise in AI/ML and learning how to translate data science into real-world healthcare applications.</p></div><p></p>
<br><div><p><b>Key Responsibilities
</b></p><p>Prepare, clean, and analyze structured and unstructured healthcare data (EHR, claims, text).
</p><p>Develop and test machine learning models under mentorship from senior data scientists.
</p><p>Contribute to exploratory data analysis, feature engineering, and model evaluation.
</p><p>Support deployment, testing, and documentation of AI/ML models.
</p><p>Collaborate with cross-functional teams on data pipelines and analytical use cases.
</p><p>Learn and apply best practices in healthcare data compliance and governance.
</p><p><b>Required Qualifications
</b></p><p>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI/ML, or related field.
</p><p>1&ndash;3 years of hands-on experience in data analysis, ML, or AI.
</p><p>Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, or PyTorch).
</p><p>Foundational understanding of NLP and Generative AI concepts.
</p><p>Strong analytical and problem-solving skills with attention to detail.
</p><p><b>Preferred Qualifications
</b></p><p>Exposure to healthcare data or interoperability standards (FHIR, HL7, ICD-10).
</p><p>Familiarity with cloud-based ML environments (OCI, AWS, Azure, GCP).
</p><p>Interest in AI research, publications, or open-source contributions.
</p><p><b>Responsibilities
</b><br>
Contributes to the design and development of AI/ML models; supports data preparation and evaluation tasks; collaborates across teams to ensure accuracy and reproducibility; and builds foundational expertise to deliver high-quality healthcare AI solutions.</p></div>

Alexion Pharmaceuticals

<div><div><div>Location: Bengaluru, India
</div><div>Job reference: R-236632</div>
<div>Date posted: 11/07/2025</div>
</div><div><h1 class="jobSectionHeader"><b>Job Title: Data Scientist</b></h1><p>
Grade : C3</p><p>
Shift: 2 pm to 11 pm IST</p><p>
Role: Individual contributor role.</p><p>
Location: Manyata Tech Park, Bangalore.</p><p><b>
Introduction to role:</b><br>
Are you ready to dive into the world of commercial analytics and make a real impact? As a Data Scientist, you'll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to design, develop, and deploy advanced AI and machine learning models, leveraging diverse healthcare datasets to uncover actionable insights and optimize business processes.</p><div><b>
Accountabilities:</b><br>
<ul><li>Collaborate with the Commercial Data Science team to identify and leverage internal and external data for business solutions.</li><li>Support the design, development, and deployment of AI and machine learning models tailored to business needs.</li><li>Assist with large-scale projects using both online/offline, structured/unstructured, and set-top box data to build customer-centric models and optimization tools.</li><li>Maintain and update scalable analytical models for recurring analyses and future use cases.</li><li>Conduct analytics using HCP and de-identified patient-level healthcare data to generate disease insights and support lead generation.</li><li>Develop machine learning models to analyze influences and interactions throughout the patient healthcare journey.</li><li>Optimize existing and create new ML tools and models to improve patient finding and HCP identification processes.</li><li>Apply predictive modeling to enhance customer experience, targeting, and other business outcomes.</li><li>Collaborate with Commercial teams and the AI community to develop best practices and cross-functional, value-driving opportunities.</li><li>Support ad hoc analyses and production operations as needed.</li></ul></div><div><b>
Essential Skills/Experience:</b><br>
<ul><li>BS/MS in a quantitative discipline such as Computer Science, Data Science, Engineering, Information Systems, or Economics, with solid foundation in statistical analysis and modeling.</li><li>At least 4 years&rsquo; experience in statistical and predictive modeling, ideally within consulting or fintech or related industries.</li><li>Excellent communication skills and the ability to convey complex findings to technical and non-technical audiences.</li><li>Deep experience with analytic tools and languages, such as Python, Dataiku, Databricks, Qlik, and Power BI; strong familiarity with machine learning and AI methods.</li><li>Proven skills in building and extracting insights from statistical models (e.g., linear regression, clustering, random forest, time series, and neural networks).</li><li>Hands-on experience working with EHR, administrative claims, and laboratory data (such as Prognos, IQVIA, Komodo, or Symphony claims data).</li><li>Technical knowledge of database structures, query languages, structured programming, and large dataset querying using ANSI SQL; experience with relational databases.</li><li>Role is primarily office-based and requires use of a computer, communication via phone/video/messaging, problem-solving, collaboration, and general availability during standard business hours, with or without accommodations.</li></ul></div><div><b>
Desirable Skills/Experience:</b><br>
<ul><li>Ability to analyze and visualize data using modern data visualization techniques.</li><li>Skilled in data manipulation, cleansing, and interpretation.</li></ul></div><ul><li>Domain experience in healthcare, or biopharmaceutical industries.</li></ul><p>
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p><p><br>
At AstraZeneca's Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each other's successes and take pride in giving back to our communities. Here, your career is more than just a path; it's a journey to making a difference where it truly counts.</p><p><br>
Ready to make a difference? Apply now to join our team!</p><p><br>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p><p><b>
Date Posted</b></p>
07-Nov-2025<p><b>
Closing Date</b></p>
28-Nov-2025<p>
Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.</p></div></div><p></p>

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 At Oracle Health, we are advancing healthcare through intelligent data-driven solutions. As a Data Scientist, you will contribute to model development and data analysis efforts that help transform clinical and operational data into meaningful insights.
 <br/>
 <br/>
 You will work closely with senior scientists to prepare data, build models, and evaluate performance&mdash;developing hands-on expertise in AI/ML and learning how to translate data science into real-world healthcare applications.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Prepare, clean, and analyze structured and unstructured healthcare data (EHR, claims, text).
 <br/>
 <br/>
 Develop and test machine learning models under mentorship from senior data scientists.
 <br/>
 <br/>
 Contribute to exploratory data analysis, feature engineering, and model evaluation.
 <br/>
 <br/>
 Support deployment, testing, and documentation of AI/ML models.
 <br/>
 <br/>
 Collaborate with cross-functional teams on data pipelines and analytical use cases.
 <br/>
 <br/>
 Learn and apply best practices in healthcare data compliance and governance.
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI/ML, or related field.
 <br/>
 <br/>
 1&ndash;3 years of hands-on experience in data analysis, ML, or AI.
 <br/>
 <br/>
 Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, or PyTorch).
 <br/>
 <br/>
 Foundational understanding of NLP and Generative AI concepts.
 <br/>
 <br/>
 Strong analytical and problem-solving skills with attention to detail.
 <br/>
 <br/>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 Exposure to healthcare data or interoperability standards (FHIR, HL7, ICD-10).
 <br/>
 <br/>
 Familiarity with cloud-based ML environments (OCI, AWS, Azure, GCP).
 <br/>
 <br/>
 Interest in AI research, publications, or open-source contributions.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Contributes to the design and development of AI/ML models; supports data preparation and evaluation tasks; collaborates across teams to ensure accuracy and reproducibility; and builds foundational expertise to deliver high-quality healthcare AI solutions.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Career Level - IC2
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 <br/>
 <br/>
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 <br/>
 <br/>
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 <br/>
 <br/>
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 <br/>
 <br/>
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>


Data Scientist 2

Cotiviti

<div>Overview:
<div>
Cotiviti is seeking a Data Scientist to lead the development of advanced classification and predictive systems for healthcare risk adjustment and ICD-10 code classification. This role will focus on building intelligent NLP systems that analyze clinical charts and encounters to accurately identify and classify ICD-10 codes through sophisticated pattern recognition, machine learning, and natural language processing techniques.</div>
Responsibilities:
<ul><li>Lead development of NLP-based classification systems for ICD-10 code identification from clinical charts and encounters
</li><li>Design and implement deep learning models using PyTorch and transformer architectures for medical text analysis
</li><li>Build and optimize machine learning models for accurate risk adjustment coding and HCC classification
</li><li>Develop decision support systems for automated ICD-10 code suggestion and validation
</li><li>Create and maintain feature engineering pipelines for clinical text processing and model training
</li></ul><div>&bull; Implement model evaluation metrics and performance optimization strategies for healthcare coding accuracy &bull; Produce comprehensive technical documentation and training materials for NLP models
</div><ul><li>Conduct system health checks and performance monitoring for deployed coding models
</li><li>Collaborate with engineering teams to integrate ML/NLP solutions into production systems
</li><li>Provide technical guidance on statistical modeling, transformer architectures, and algorithm selection
</li><li>Support data pipeline design and implementation for clinical text analytical workflows
</li><li>Participate in code reviews and maintain high standards for code quality
</li><li>Experience with distributed computing frameworks and big data technologies for processing large volumes of clinical data
</li><li>Mentor junior scientists and analysts in machine learning, NLP, and artificial intelligence best practices
</li><li>Track record of using assistive AI technology to improve quality and efficiency of modeling and analytics
</li><li>Complete all responsibilities as outlined in the annual performance review and/or goal setting. <b>Required</b>
</li><li>Complete all special projects and other duties as assigned. <b>Required</b>
</li><li>Must be able to perform duties with or without reasonable accommodation. <b>Required</b></li></ul>
Qualifications:
<ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field; Master's in Data Science or related field preferred</li><li>3+ years of experience in machine learning and AI with focus on NLP, classification, and predictive systems</li><li>Strong expertise in PyTorch and transformer architectures (BERT, RoBERTa, etc.) for text classification</li><li>Advanced Python programming skills with experience in NLP frameworks and libraries</li><li>Experience with healthcare claims data, clinical text processing, and ICD-10 coding systems preferred</li><li>Knowledge of risk adjustment methodologies and HCC (Hierarchical Condition Categories) coding</li><li>Experience with feature engineering techniques for clinical text and model evaluation methodologies</li><li>Experience with model deployment and monitoring in production environments</li><li>Understanding of data quality frameworks and error detection methodologies for healthcare coding</li><li>Strong analytical and problem-solving skills with focus on clinical data challenges</li><li>Excellent communication skills with ability to explain technical NLP concepts clearly</li><li>Experience with version control systems and collaborative development practices</li><li>Expertise with SQL and data manipulation tools for healthcare datasets.</li></ul></div>

Roche

<div><p>At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.</p><p></p><div>
The Position</div><p><b>
Position title: Senior Data Scientist</b><br>
<b>Reporting to: Senior Manager &ndash; Data Science</b><br>
<b>Job Location: Hyderabad / Chennai</b></p><p></p><p>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.</p><p>
That&rsquo;s what makes us Roche.</p><p></p><p>
Roche has established the Global Analytics and Technology Center of Excellence (GATE) to drive analytics- and technology-driven solutions by partnering with Roche affiliates across the globe. GATE enables data-led decision-making and innovation across healthcare and biotech operations.</p><p></p><p>
As a <b>Senior Data Scientist</b>, you will lead and deliver high-impact data science projects that enable strategic decision-making within Roche&rsquo;s healthcare and commercial ecosystem. Collaborating closely with cross-functional teams, your primary focus will be on Healthcare and Pharma Data Science and Marketing Mix Modeling (MMM) leveraging advanced statistical and machine-learning techniques to generate actionable insights and optimize business outcomes.</p><p>
Exposure to GenAI, LLM, NLP, and ML Ops will be considered a strong advantage, supporting Roche&rsquo;s future-ready analytics and AI roadmap.</p><p></p><p><b>
Your Opportunity:</b></p><p><b>
Project Leadership and Collaboration (Primary Focus):</b></p><ul><li><p>
Lead and manage end-to-end data science projects from problem definition to model deployment ensuring alignment with business goals and timelines</p></li><li><p>
Partner with cross-functional teams to define business requirements and deliver tailored analytics solutions</p></li><li><p>
Develop and maintain key stakeholder relationships to ensure effective communication and collaboration throughout project lifecycles</p></li><li><p>
Present analytical findings and strategic recommendations to business stakeholders, influencing data-driven decision making across multiple levels of the organization</p></li></ul><p></p><p><b>
Advanced Analytics (Primary Focus):</b></p><ul><li><p>
Collect, clean, and prepare large and complex healthcare-related datasets (product performance, patient data, operational metrics, etc.) for analysis</p></li><li><p>
Develop and implement statistical and machine learning models (e.g., multivariate regression, time-series analysis, XGBoost, clustering, classification, causal inference) to address complex business problems and uncover meaningful insights</p></li><li><p>
Utilize advanced data analytics techniques to explore and identify patterns, trends, and root causes, applying methodologies such as clustering, classification, and causal inference</p></li></ul><p></p><p><b>
Marketing and Experimental Analytics (Primary Focus):</b></p><ul><li><p>
Build Econometric/market mix models (MMM), multi-touch attribution models (MTA), optimize marketing spend and come-up with implementable recommendations and strategy/plan</p></li><li><p>
Lead the development and implementation of advanced Media Mix Models to inform and optimize marketing spend across multiple channels (e.g., TV, digital, print, radio)</p></li><li><p>
Design and execute complex statistical analyses to evaluate the effectiveness of marketing strategies and optimize resource allocation</p></li><li><p>
Apply experimental design and A/B testing methodologies to validate and measure marketing and operational initiatives</p></li></ul><p></p><p><b>
GenAI, NLP, and Machine Learning Operations (Secondary / Emerging Focus):</b></p><ul><li><p>
Develop and implement GenAI models and tools to solve business problems</p></li><li><p>
Deploy machine learning models in production environments, ensuring robust ML Ops practices for model monitoring, maintenance, and scaling</p></li><li><p>
Collaborate with IT and DevOps teams to streamline the integration of ML models into existing systems and workflows</p></li><li><p>
Enhance agent performance through experimentation with LLMs, prompt tuning, and advanced reasoning workflows</p></li></ul><p></p><p><b>
Communication, Mentorship, and Governance (Primary Focus):</b></p><ul><li><p>
Translate complex data insights into clear and actionable business strategies that address stakeholder needs and expectations</p></li><li><p>
Mentor and guide junior data scientists, providing technical expertise and fostering an environment of continuous learning and improvement</p></li><li><p>
Promote best practices in coding, data handling, and project management within the data science team, ensuring high-quality deliverables</p></li><li><p>
Ensure adherence to Roche&rsquo;s ethical AI standards and data privacy regulations</p></li></ul><p></p><p><b>
Who you are:</b></p><ul><li><p>
You hold a bachelor's degree in Technology or a relevant discipline, with a preference for Computer Science, Software, Statistics, Data Science, AI, Machine Learning, Data Engineering and related fields. Preferably, you have a Master's degree</p></li><li><p>
Certifications in AI/ML, Data Science, or related technologies would be a plus</p></li><li><p>
You have 5-8 years of hands-on experience in data science, with proven experience in leading data science projects within the pharma/biotech/healthcare domain</p></li><li><p>
Strong proficiency in Python and SQL, with experience in data wrangling, feature engineering, and analytical model development</p></li><li><p>
Experience working in cloud-based environments (AWS preferred), with practical knowledge of GitHub and cloud computing workflows for data science projects</p></li><li><p>
Hands-on experience building models using algorithms and techniques such as multivariate regression, time series analysis, XGBoost, clustering, classification, OLS regression, Na&iuml;ve Bayes, linear and time-decay attribution models, Markov chains, and Shapley value methods</p></li><li><p>
Experience in Multi channel Marketing Mix Modeling (MMM), or related fields, with a track record of delivering impactful results</p></li><li><p>
At least 4 years of strong experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, spaCy, NLTK, NumPy, pandas, and Spark</p></li><li><p>
Basic understanding of pharmaceutical datasets (e.g., IQVIA, SHA, Patients data) and familiarity with US healthcare markets would be a plus</p></li><li><p>
Strong analytical and problem-solving skills with a data-driven mindset</p></li></ul><p></p><p><b>
Good to Have:</b></p><ul><li><p>
Experience with modern deep learning architectures for NLP, including hands-on experience with transformers (e.g., Hugging Face, SBert, GPT-2/GPT-3) and the capability to build ML/DL pipelines for training/tuning models, including transfer learning</p></li><li><p>
Proficiency with LLM APIs (e. g. , OpenAI, Claude, Gemini) and agent frameworks such as AutoGen, LangGraph, AgentBuilder, or CrewAI</p></li><li><p>
Experience with prompt engineering or intelligent workflow automation</p></li><li><p>
Bash/shell scripting is a plus, Experience with Docker, API development is advantageous</p></li></ul><p><b><i><br>
Note</i></b><i>: This job description is intended as a general guideline for the responsibilities and qualifications required for this position. It is not an exhaustive list, and responsibilities may evolve and change based on business needs.</i></p><p></p><div>
Who we are</div><p>
A healthier future drives us to innovate. Together, more than 100&rsquo;000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.</p><p><br>
Let&rsquo;s build a healthier future, together.</p><p></p><p><b>
Roche is an Equal Opportunity Employer.</b></p></div>

Senior Data Scientist

University of New Mexico

<div><h2 class="jobSectionHeader"><b>Data Scientist 1</b></h2>
<div><div><div><div><b>Requisition ID</b></div> <div>req35121</div>
</div><br>
<div><div><b>Working Title</b></div> <div>Data Scientist 1</div>
</div><br>
<div><div><b>Position Grade</b></div> <div>14</div>
</div><br>
<div><div><b>Position Summary</b></div>
<div><p>
The <b>University of New Mexico Comprehensive Cancer Center</b> seeks a highly analytical and inquisitive professional to join the Business Performance &amp; Insights team within the Fiscal Services Department as a <b>Data Scientist 1</b>.</p><p>
In this role, you will apply data science techniques to design, integrate, and manage critical financial and operational data that powers strategic decision-making across the Cancer Center. You will collaborate with stakeholders across departments to streamline reporting, enhance data quality, and develop predictive models, dashboards, and analytics that drive improvements in care delivery, resource utilization, and organizational performance.</p><p>
With a strong foundation in statistical analysis, SQL, and data visualization (Tableau), you will ensure the accuracy and integrity of data systems while transforming complex datasets into clear, actionable insights that support the Cancer Center&rsquo;s mission and strategic goals.</p><p><b>
Data Integration &amp; Management</b></p>
<ul><li> Lead the integration of healthcare financial and operational data from multiple source systems (e.g., Banner, Lawson, PMS, RCM, ERP) into Workday Adaptive Planning and other enterprise platforms.</li></ul>
<ul><li> Establish and maintain appropriate data collection, storage, and governance procedures to ensure data integrity, consistency, and accuracy across integrated systems.</li></ul><p><b>
Advanced Analytics &amp; Modeling</b></p>
<ul><li> Capture, mine, and analyze large healthcare data sets using advanced analytical techniques such as predictive modeling, clustering, pattern recognition, and statistical analysis.</li></ul>
<ul><li> Develop, test, and operationalize machine learning and statistical models (e.g., linear regression, decision trees, random forest) to predict financial and operational outcomes.</li></ul>
<ul><li> Continuously refine and validate models based on performance metrics and health system feedback.</li></ul><p><b>
Reporting &amp; Visualization</b></p>
<ul><li> Design, build, and maintain complex reports, dashboards, and visual analytics within Workday Adaptive Planning and other BI tools tailored to finance and business user needs.</li></ul>
<ul><li> Visualize and communicate analytical findings in a clear, compelling manner to stakeholders with varying levels of technical expertise.</li></ul>
<ul><li> Develop and automate Excel-based and system-generated reports that translate raw data into actionable insights for leadership and operational teams.</li></ul><p><b>
Cross-Functional Collaboration</b></p>
<ul><li> Collaborate with finance, clinical, and IT leadership teams to align data governance, financial reporting, and analytic strategies.</li></ul>
<ul><li> Partner closely with Financial Analysts to ensure alignment between operational data and financial planning models.</li></ul>
<ul><li> Champion the adoption of advanced analytics and data science practices across the institution.</li></ul><p><b>
Quality Assurance &amp; Documentation</b></p>
<ul><li> Perform data validation, audit, and reconciliation routines to ensure data reliability and integrity across systems.</li></ul>
<ul><li> Create and maintain comprehensive documentation including data models, design specifications, user manuals, and system diagrams.</li></ul>
<ul><li> Document code, model assumptions, and workflow modifications for transparency and reproducibility.</li></ul><p><b>
Knowledge, Skills, and Abilities</b></p>
<ul><li> Strong analytical and problem-solving skills with the ability to interpret complex operational needs and translate them into data-driven solutions.</li></ul>
<ul><li> Expertise in financial data modeling, statistical analysis, and data visualization.</li></ul>
<ul><li> Understanding of healthcare finance, revenue cycle, and operational data structures.</li></ul>
<ul><li> Knowledge of current and emerging analytics technologies, data management principles, and programming methodologies.</li></ul>
<ul><li> Strong interpersonal and collaboration skills with the ability to work effectively across diverse teams.</li></ul><p>
Additional Requirements:</p><p>
As part of the application process, candidates are asked to submit one sample work product that best demonstrates their technical and analytical skills relevant to this position. Acceptable examples include:</p><ul><li> A <b>Tableau dashboard</b> or visualization you created (screenshots or packaged workbook; data may be de-identified or simulated).</li></ul>
<ul><li> A <b>SQL query or script</b> used to prepare or analyze data for reporting purposes.</li></ul>
<ul><li> A brief <b>project summary</b> (1&ndash;2 pages) describing a financial or operational analytics project, including your role, tools used, and outcomes.</li></ul>
<ul><li> A brief <b>description or notebook output</b> showing a predictive or statistical model they&rsquo;ve built (e.g., forecasting clinic volumes, modeling costs, or identifying utilization trends).</li></ul><p>
Submitted materials should not include any proprietary, confidential, or patient-identifiable information. Candidates may use publicly available or self-generated data for demonstration purposes.</p><p>
The University of New Mexico Comprehensive Cancer Center is the Official Cancer Center of New Mexico and the only National Cancer Institute-designated Cancer Center in a 500-mile radius. Its 136 board-certified oncology specialty physicians include cancer surgeons in every specialty (abdominal, thoracic, bone and soft tissue, neurosurgery, genitourinary, gynecology, and head and neck cancers), adult and pediatric hematologists/medical oncologists, gynecologic oncologists, and radiation oncologists. They, along with more than 600 other cancer healthcare professionals (nurses, pharmacists, nutritionists, navigators, psychologists and social workers), provide treatment to 65% of New Mexico&rsquo;s cancer patients from all across the state. And they partner with community health systems statewide to provide cancer care closer to home. In 2024 they treated more than 15,000 patients in almost 105,000 ambulatory clinic visits in addition to in-patient hospitalizations at UNM Hospital. A total of 2,075 patients participated in cancer clinical trials to study new cancer treatments that include tests of novel cancer prevention strategies and cancer genome sequencing. The more than 123 cancer research scientists affiliated with the UNM Cancer Center were awarded $38.3 million in federal and private grants and contracts for cancer research projects. Since 2015, the physicians, scientists and staff have provided education and training experiences to more than 750 high school, undergraduate, graduate, and postdoctoral fellowship students in cancer research and cancer health care delivery.</p>
<p>Website: unmhealth.org/cancer</p>
<p>
See the Position Description for additional information.</p></div><br>
</div><br>
<div><div><b>Conditions of Employment</b></div>
<ul><li>Employees who provide services or work in patient care or clinical areas are required to be in compliance with the University's influenza vaccination requirement.</li></ul>
</div><br>
<div><div><b>Minimum Qualifications</b></div>
<div><p>
Bachelor's degree in a relevant field; at least 3 years of experience directly related to the duties and responsibilities specified.</p><p>
Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.</p></div></div><br>
<div>
<div><b>Preferred Qualifications</b></div>
<div><ul><li> Experience developing, automating, and maintaining <b>Tableau</b> dashboards and visual analytics for operational or financial reporting.</li></ul>
<ul><li> Proficiency in <b>SQL</b> for querying, joining, and transforming data from multiple enterprise systems (e.g., Banner, Lawson, PMS, RCM, ERP).</li></ul>
<ul><li> Familiarity with <b>Workday Adaptive Planning</b>, including data integration, model management, and report development.</li></ul>
<ul><li> Demonstrated experience applying <b>statistical or predictive modeling</b> techniques such as regression, clustering, or decision trees to real-world data.</li></ul>
<ul><li> Working knowledge of <b>healthcare financial and operational data</b>, including revenue cycle, cost analysis, or productivity metrics.</li></ul>
<ul><li> Knowledge of <b>data governance principles</b>, metadata documentation, and best practices for maintaining analytical transparency.</li></ul></div></div><br>
<div>
<div><b>Additional Requirements</b></div> <div>Finalists should be prepared to provide official educational transcripts if selected for hire.
<br>
<br>
Applicants must provide names of 3 professional references that the hiring official can contact.
<br>
<br>
Due to budgetary constraints, this position is not eligible for visa sponsorship. Only candidates authorized to work in the U.S. without sponsorship, now and in the future, will be considered.</div>
</div><br>
<div><div><b>Campus</b></div> <div>Health Sciences Center (HSC) - Albuquerque, NM</div>
</div><br>
<div><div><b>Department</b></div> <div>CRTC Fiscal Services (099D)</div>
</div><br>
<div><div><b>Employment Type</b></div> <div>Staff</div>
</div><br>
<div><div><b>Staff Type</b></div> <div>Regular - Full-Time</div>
</div><br>
<div><div><b>Term End Date</b></div>
</div><br>
<div></div><div><div><b>Status</b></div> <div>Exempt</div>
</div><br>
<div><div><b>Pay</b></div> <div>$4,875.87 - $6,976.67</div>
</div><br>
<div><div><b>Benefits Eligible</b></div> <div>This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.</div>
</div><br>
<div><div><b>ERB Statement</b></div> <div>As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.</div>
</div><br>
<div><div><b>Background Check Required</b></div> <div>Yes</div>
</div><br>
<div><div><b>For Best Consideration Date</b></div> <div>11/17/2025</div>
</div><br>
<div><div><b>Eligible for Remote Work</b></div> <div>Yes</div>
</div><br>
<div><div><b>Eligible for Remote Work Statement</b></div> <div>This position is eligible for a hybrid schedule once the probation period is successfully completed and based on departmental needs.</div>
</div><br>
<div><div><b>Application Instructions</b></div>
<div>
<p>Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.</p>
APPLICANT: Please complete the official application; making sure to include all prior work experience and average hours worked per week. Attach your Current Resume; listing three Professional References. Attach your Cover Letter that details how your experience matches the position as described above; including any Preferred Qualifications.
<br>
<br>
As part of the application process, candidates are asked to submit one sample work product that best demonstrates their technical and analytical skills relevant to this position. Acceptable examples include:
<br>
<br>
<li>A Tableau dashboard or visualization you created (screenshots or packaged workbook; data may be de-identified or simulated).</li><br>
<br>
<li>A SQL query or script used to prepare or analyze data for reporting purposes.</li><br>
<br>
<li>A brief project summary (1&ndash;2 pages) describing a financial or operational analytics project, including your role, tools used, and outcomes.</li><br>
<br>
<li>A brief description or notebook output showing a predictive or statistical model they&rsquo;ve built (e.g., forecasting clinic volumes, modeling costs, or identifying utilization trends).
</li><br>
<br>
Submitted materials should not include any proprietary, confidential, or patient-identifiable information. Candidates may use publicly available or self-generated data for demonstration purposes.</div><br>
</div><br>
<div><div><p><b>Positions posted with a Staff Type of </b><b><i>Regular</i></b><b> or </b><b><i>Term</i></b><b> are eligible for the Veteran Preference Program. See the </b><b>Veteran Preference Program webpage </b><b>for additional details.
</b></p><p>The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.</p>
<p>
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.</p></div></div></div></div></div><div></div>

Data Scientist 1

Search 10000+ Healthcare data scientist jobs near you this November. New roles added regularly across leading industries. Apply today.

10000 healthcare data scientist jobs NEAR_ME

Data Scientist

Data Scientist

Data Scientist

Data Scientist 2

Data Scientist

Senior Data Scientist

Data Scientist 1