healthcare data scientist

VieMed, LLC

<div>Essential Duties and Responsibilities:
<ul><li>Data Preparation &amp; Exploration</li>
<li><ul><li>Collect, clean, and preprocess patient, claims, billing, and operational data from healthcare systems (EHRs, billing platforms, CRM, etc.).</li>
<li>Conduct exploratory data analysis (EDA) on datasets related to ventilator compliance, hospital readmissions, referral patterns, and payer trends.</li>
</ul></li><li>Modeling &amp; Analysis</li>
<li><ul><li>Assist in building predictive and machine learning models (e.g., patient risk stratification, adherence prediction, referral conversion).</li>
<li>Perform statistical and trend analysis to identify cost-saving opportunities and clinical/operational efficiencies.</li>
</ul></li><li>AI &amp; Automation Development</li>
<li><ul><li>Support the design and prototyping of AI agents for tasks such as real-time eligibility checks, referral triage, and payer communication.</li>
<li>Help build automated workflows and data pipelines that reduce manual processes (e.g., invoice/PO/receiving 3-way match, claims variance detection).</li>
<li>Contribute to the development of chatbots and copilots that assist employees with data lookups, reporting, or documentation.</li>
<li>Experiment with workflow automation tools and APIs to connect platforms such as Bonafide, Brightree, Acumatica, Salesforce, and Power Apps.</li>
</ul></li><li>Visualization &amp; Communication</li>
<li><ul><li>Create dashboards and reports (Tableau/Power BI) that monitor patient outcomes, operational KPIs, and AI automation performance.</li>
<li>Communicate results in clear, actionable terms for clinicians, operations staff, and executives.</li>
</ul></li><li>Collaboration &amp; Support</li>
<li><ul><li>Work with data engineers to optimize data pipelines supporting AI/ML and automation initiatives.</li></ul></li></ul> 

Minimum Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in Data Science, Computer Science, Healthcare Informatics, or related field (Master&rsquo;s a plus), or equivalent experience</li>
<li>Proficiency in Python (Pandas, NumPy, scikit-learn, LangChain, or similar frameworks for AI/agents).</li>
<li>Strong SQL skills for working with healthcare and operational data.</li>
<li>Familiarity with AI concepts such as LLMs, prompt engineering, and workflow orchestration.</li>
<li>Understanding of healthcare data (claims, EHR, payer data) and compliance standards (HIPAA).</li>
<li>Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).</li>
<li>Strong problem-solving and communication skills.</li></ul> 


Preferred Knowledge, Skills and Abilities:
<ul>
<li>Exposure to DME workflows (referrals, authorizations, billing, compliance).</li>
<li>Experience building AI-driven tools or copilots in Microsoft Copilot, ChatGPT Enterprise, or similar platforms.</li>
<li>Familiarity with workflow automation tools (Power Automate, Zapier, UiPath, etc.).</li>
<li>Cloud platform experience (AWS, Azure, or GCP).</li>
<li>Git/version control and collaborative development experience.</li></ul> 


You will be expected to work during normal business hours, which are Monday through Friday, 8:00 a.m. &ndash; 5:00 p.m. Please note this job description is not designed to cover and/or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.</div>

AI/ML Solutions Analyst

NVIDIA

<div>At NVIDIA, we're building the platforms to accelerate the healthcare applications of tomorrow. Software, Hardware, as well as data. We're looking for dedicated contributors who know how to focus on the latter. This is an opportunity to influence the direction of NVIDIA research, engineering, and ultimately the products which our customers build.
This role leads healthcare data operations and guides its strategy. You decide what to build next and collaborate with community partners to build it. You also establish the MLOps backbone that makes each program a durable, growing asset. You connect leading clinicians, academic researchers, medtech industry partners, and NVIDIA's engineering and product teams.
What You'll Be Doing:<ul><li>
Define a portfolio strategy and selection methodology for NVIDIA's healthcare data programs with key collaborators. Prioritize modalities, clinical domains, and partner cohorts based on scientific and market impact, downstream model value, partner readiness, and technical feasibility.</li><li>
Drive the tactical execution of new healthcare data collaborations end-to-end: prioritizing, data contribution agreements and licensing, contribution standards, release planning, and public launch.</li><li>
Architect and build our healthcare data MLOps platform that ingests, curates, validates, governs, and serves multi-institution healthcare data at scale. Combine NVIDIA's internal tooling with outstanding external systems when appropriate.</li><li>
Partner directly with NVIDIA healthcare and model training teams (e.g., GR00T, Cosmos) to ensure data programs are sequenced and crafted to feed the highest-priority needs.</li><li>
Establish data quality, provenance, de-identification, and governance standards that scale across modalities and meet the regulatory and compliance expectations of global clinical partners.</li></ul>
What We Need to See:<ul><li>
12+ years working with healthcare data &mdash; building datasets, running data programs, or leading MLOps workflows in a healthcare or medtech setting.</li><li>
Strong technical proficiency across the healthcare data lifecycle: ingestion, curation, annotation, de-identification, governance (HIPAA, GDPR, IRB workflows), and serving for training and evaluation.</li><li>
Hands-on experience with MLOps tooling &mdash; data lakes/lakehouses, dataset versioning (e.g., Hugging Face Datasets, LakeFS, DVC), workflow orchestration, validation frameworks &mdash; and a clear point of view on when to build versus integrate.</li><li>
Familiarity operating at the intersection of strategy, partnerships, and engineering &mdash; able to set portfolio direction one day and review schema choices or pipeline architectures the next.</li><li>
BS or higher in Computer Science, Biomedical Engineering, Computational Biology, or a related technical field, or equivalent experience.</li></ul>
Ways to Stand Out from the Crowd:<ul><li>
Direct healthcare industry experience &mdash; including familiarity with how device data is generated, retained, and released.</li><li>
Track record of launching publicly released, commercially usable healthcare datasets.</li><li>
Experience standing up data infrastructure for foundation model training, including multi-modal sensor data.</li><li>
Deep relationships across the global clinical AI community (MedTech or biopharma), and a history of converting those relationships into shipped artifacts.</li><li>
Familiarity with NVIDIA platforms relevant to healthcare AI &mdash; Holoscan, BioNeMo, Cosmos, Isaac, NeMo Data Designer, or Omniverse.</li></ul>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until May 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Lead Engineer, Healthcare Data Operations and Strategy

Openkyber

<div>Data Scientist Measurement Framework Developer (Statistical &amp; Causal Inference) Location: Remote (Candidates must be located in EST or CST time zones ) Duration: 6-month W2 Contract Pay Rate: $50 $62/hour depending on experience Employer: OpenKyber (supporting a leading enterprise retail client) About the Role OpenKyber is supporting a major enterprise retail organization in hiring a Data Scientist with strong expertise in statistical inference and causal analysis to develop scalable measurement frameworks for enterprise solutions. This role is ideal for someone passionate about experimental design, causal inference, and data-driven decision making , who enjoys building robust frameworks to measure product and business impact.
Key Responsibilities:
<ul><li>Design and implement measurement frameworks for solutions deployed in production environments.</li>
<li>Apply statistical inference and causal methods such as A/B testing, propensity score matching, and instrumental variables.</li>
<li>Develop and analyze controlled experiments and observational studies to evaluate impact.</li>
<li>Collaborate with cross-functional stakeholders to define KPIs and measurement strategies .</li>
<li>Write clean, reproducible code for statistical analysis and reporting.</li>
<li>Implement CI/CD principles and manage code repositories using GitHub Enterprise .</li>
</ul>Required Qualifications:
<ul><li>Strong understanding of hypothesis testing, OLS, GLM, and causal inference techniques .</li>
<li>Proficiency in Python and SQL .</li>
<li>Experience with Python libraries such as statsmodels, scikit-learn, DoWhy, and linearmodels .</li>
<li>Hands-on experience with A/B testing and experimental design .</li>
<li>Familiarity with Databricks or similar enterprise cloud environments .</li>
<li>Ability to work independently with a strong ownership mindset .</li>
</ul>Preferred Qualifications:
<ul><li>Experience in retail, inventory management, or operations research .</li>
<li>Exposure to cloud platforms such as Azure, AWS, or Google Cloud Platform .</li>
</ul>OpenKyber offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life &amp; disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
For applications and inquiries, contact: hirings@openkyber.com</div>

OCI Cloud Operations Associate

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. 
 
A day in the life 
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence, AGI Data Services

State Farm

<div>
 
 Overview
 
 
 
 Being good neighbors &ndash; helping people, investing in our communities, and making the world a better place &ndash; is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
 
 
 
 Office Locations
 
 : Bloomington, Atlanta, Dallas, Phoenix
 
 
 
 HYBRID
 
 : Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
 
 
 
 Why Join Our Data Science Team?
 
 
 
 At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally &amp; analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape.
 
 
 <ul>
 <li>
 Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 State Farm's Rating &amp; Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions.
 
 
 Applicants for this posting will be considered for Data Scientist openings in:
 
 
 <ul>
 <li>
 Property &amp; Casualty Actuarial &amp; Underwriting Modeling Department (PCM): Develops models that support State Farm&rsquo;s insurance pricing and underwriting decisions
 
 
 </li>
 </ul>
 
 Data Science at State Farm
 
 :
 
 
 As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:
 
 
 <ul>
 <li>
 Develop and validate advanced analytic models
 </li>
 <li>
 Provide input into and/or build datasets to support model development
 </li>
 <li>
 Collaborate with other team members on scoping solutions and project decision points
 </li>
 <li>
 Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
 </li>
 <li>
 Lead/mentor other Data Scientists, interns, and other technical work teams
 </li>
 <li>
 Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
 </li>
 <li>
 Serve as a peer reviewer to other model development teams
 </li>
 <li>
 Work on complex problems of diverse scopes
 </li>
 <li>
 Establish and leverage a network of associates with business domain and data expertise
 </li>
 <li>
 Instill a business-oriented mindset that drives the data science &amp; research agenda
 </li>
 <li>
 Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
 </li>
 <li>
 Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
 </li>
 <li>
 Experience with at least one statistical programming language: SAS, R, and/or Python
 
 
 </li>
 </ul>
 
 Other Things We Look For:
 
 
 
 <ul>
 <li>
 Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
 </li>
 <li>
 Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
 
 
 </li>
 </ul>
 
 What You Can Expect:
 
 
 
 Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!
 
 
 <ul>
 <li>
 Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity.
 
 
 </li>
 </ul>
 
 Our Benefits
 
 
 
 Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
 
 
 <ul>
 <li>
 Potential starting salary range: $102,000 - $163,000
 </li>
 <ul>
 <li>
 Starting salary will be based on skills, background, and experience
 </li>
 <li>
 High end of the range limited to applicants with significant relevant experience
 </li>
 </ul>
 <li>
 Potential yearly incentive pay up to 15% of base salary
 
 
 </li>
 </ul>
 
 At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
 
 
 
 <ul>
 <li>
 Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
 </li>
 <li>
 Stay Well! Focus on you and your family&rsquo;s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
 </li>
 <li>
 Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
 </li>
 <li>
 Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
 </li>
 <li>
 Take a Little &ldquo;You&rdquo; Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
 </li>
 <li>
 Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
 </li>
 <li>
 Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
 
 
 </li>
 </ul>
 
 Visit our
 
 
 State Farm Careers
 
 
 page for more information on our
 
 
 benefits
 
 
 ,
 
 
 locations
 
 
 , and the
 
 
 hiring process
 
 
 of joining the State Farm team!
 
</div>

Data Scientist

Embrace Technologies Private Limited

We&rsquo;re Hiring: Data Scientist (4+ Years Experience) On-Site - Gulberg Greens, Islamabad - PakistanJob SummaryWe are looking for a Data Scientist who can go beyond reporting and help drive real business decisions using data.This role requires someone who is comfortable working with large datasets, building models where needed, and clearly communicating insights to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Analyze datasets to identify trends, patterns, and actionable insights</li><li>Build and validate statistical and predictive models</li><li>Write and optimize complex SQL queries</li><li>Work with business teams to translate requirements into data solutions</li><li>Present findings in a clear and structured manner to support decision-making</li></ul>Requirements<ul><li>4+ years of experience in Data Science or Data Analytics</li><li>Strong proficiency in:</li></ul>Python (pandas, NumPy, scikit-learn or similar) SQL (joins, aggregations, performance optimization)<ul><li>Solid understanding of:</li></ul>Statistics and data modeling Data cleaning and validation<ul><li>Strong communication skills with the ability to explain insights clearly</li></ul>Preferred Qualifications<ul><li>Experience with:</li><li>Machine learning models in production</li><li>Data visualization tools (Power BI, Tableau, etc.)</li><li>A/B testing or experimentation</li></ul>Work Environment<ul><li>On-site role (no remote option)</li><li>Collaborative team environment with cross-functional interaction</li></ul>How to ApplyApply through Indeed and include:<ul><li>Updated CV</li><li>Examples of projects or work demonstrating data-driven insights (if available)</li><li>Fill out this form with further details</li></ul>https://docs.google.com/forms/d/e/1FAIpQLSf0rYCvDTev4nx6QF2xjSpQVb9VlrCBNkA62L8QwJ6K6jgWyw/viewformKeywords: Data Scientist, Python, SQL, Data Analytics, Machine Learning, Statistics, Data ModelingJob Type: Full-timeWork Location: In person

American Cancer Society

<div>
 At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities.
 
 
 The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled.
 
 
 The Associate Data Scientist, IT, Data &amp; Architecture will apply foundational data science and analytical techniques to drive insights that inform research, business strategy, and organizational decision-making. Working under the guidance of senior data scientists and data engineers, this role contributes to the development of data models, dashboards, and analysis that enhances understanding of program performance, and population health trends.
 
 
 The Associate Data Scientist will work with diverse data sources&mdash;including healthcare, demographic, behavioral, and operational datasets&mdash;to support projects across research analytics, and business analytics. The ideal candidate is detail-oriented, intellectually curious, and eager to learn modern data tools and methods while growing into an independent, high-impact contributor. This position offers an opportunity to build technical, analytical, and strategic expertise in a collaborative, mission-driven environment that values innovation, scientific rigor, and data ethics.
 
 
 ESSENTIAL FUNCTIONS:
 
 
 <ul>
 <li>
 Design, test, and deploy predictive and descriptive models to advance organizational strategy and outcomes, using Python, R, and related frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). 35%
 </li>
 <li>
 Formulate and validate hypotheses through rigorous statistical testing, ensuring models are grounded in scientific and business relevance. 25%
 </li>
 <li>
 Apply advanced statistical, econometric, and machine learning methods to structured and unstructured datasets, including dense domains such as images or genomics. 20%
 </li>
 <li>
 Translate technical results into clear, actionable insights for both technical and non-technical stakeholders through effective storytelling and visualization. 10%
 </li>
 <li>
 Engage cross-functional teams to understand organizational challenges, frame analytical questions, and develop innovative, data-driven solutions that align with business objectives. 10%
 
 
 </li>
 </ul>
 EXPERIENCE/QUALIFICATIONS:
 
 
 <ul>
 <li>
 Minimum Degree Required: Bachelor's Degree in Computer Science, Engineering, Computational Biology, Econometric or equivalent experience.
 </li>
 <li>
 Preferred Degree: Master's Degree
 </li>
 <li>
 Certificate(s) or License(s): N/A
 </li>
 <li>
 Years of experience: 1-3 years of relevant experience. Proven experience as a data scientist from professional experience and/or formal education.
 
 
 </li>
 </ul>
 REQUIRED KNOWLEDGE, SKILLS, AND ABILITY:
 
 
 <ul>
 <li>
 Advanced modeling expertise; Proven experience developing and validating statistical, econometric, and machine learning models for predictive or descriptive applications.
 </li>
 <li>
 Technical proficiency in analytical programming; Expertise in Python (pandas, scikit-learn, NumPy, statsmodels, PyTorch, TensorFlow) or equivalent R packages, strong working knowledge of SQL.
 </li>
 <li>
 Strong quantitative and analytical foundation; Deep understanding of statistical inference, experimental design, and model evaluation metrics.
 </li>
 <li>
 Experience with complex data domains; Skilled in analyzing high-dimensional or unstructured data, such as images, text, or genomics data.
 </li>
 <li>
 Effective communicator and storyteller; Able to translate complex analytical results into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative and business-focused mindset; Skilled at partnering with cross-functional teams to understand organizational challenges and design data-driven solutions.
 </li>
 <li>
 Entrepreneurial drive and intellectual curiosity; Self-directed problem solver who proactively identifies opportunities for innovation and impact.
 
 
 </li>
 </ul>
 PREFERRED KNOWLEDGE, SKILLS, AND ABILITY:
 
 
 <ul>
 <li>
 Strong proficiency in statistical modeling, machine learning, and predictive analytics using Python (pandas, scikit-learn, TensorFlow, PyTorch) or R, with experience developing and evaluating models on large, complex datasets.
 </li>
 <li>
 Hands-on experience with SQL, data wrangling, and feature engineering, and familiarity with cloud-based data ecosystems such as Azure, Snowflake, or Databricks for scalable data processing.
 </li>
 <li>
 Working knowledge of MLOps practices, including model versioning, experiment tracking (MLflow, DVC), and deployment workflows; experience with Git-based collaboration.
 </li>
 <li>
 Ability to communicate and visualize results effectively using tools such as Power BI, Tableau, matplotlib, or Plotly, translating complex analyses into actionable insights for business and research audiences.
 
 
 </li>
 </ul>
 TRAVEL REQUIREMENTS:
 
 
 <ul>
 <li>
 Occasional travel- 10-15% - may be required for department or program/project meetings, vendor management, or enterprise workshops.
 
 
 </li>
 </ul>
 PHYSICAL REQUIREMENTS:
 
 
 <ul>
 <li>
 Availability and ability to work after hours, weekends, holidays, etc. as needed, to be on call and/or to fulfill job responsibilities and requirements.
 
 
 </li>
 </ul>
 The starting rate is $85,000 to $95,000. The final candidate's relevant experience/skills will be considered before an offer is extended. Actual starting pay will vary based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education.
 
 
 ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.
</div>

Associate Data Scientist

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

10000 healthcare data scientist jobs Near Me

AI/ML Solutions Analyst

Lead Engineer, Healthcare Data Operations and Strategy

OCI Cloud Operations Associate

Applied Scientist, Artificial General Intelligence, AGI Data Services

Data Scientist

Data Scientist

Associate Data Scientist