Senior Data Scientist jobs at Martin's Point Health Care - 107 jobs

Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. What You'll Do You will lead integrative, multi-omics analyses spanning structural biology, proteomics, and other data types to accelerate therapeutic discovery in rare and genetically defined diseases. Working independently in a dynamic, data-driven environment, you will identify analytical opportunities, design computational approaches, and develop solutions that connect insights across modalities. The ideal candidate combines broad scientific fluency with strong Python-based engineering skills and a proactive, self-directed work style. #LI-TC1 Responsibilities Design and execute computational analyses focused on structural biology and proteomics, while routinely extending to additional omics and data domains Develop and maintain robust Python codebases and packages that support reproducible and scalable analyses Apply statistical and computational methods, including selective use of AI/ML where appropriate, to derive interpretable biological insights Work independently to define analytical goals, prioritize efforts, and deliver solutions that advance translational and program objectives Stay current with evolving multi-omics technologies and computational tools, introducing innovative methods where they can add value Communicate key findings clearly through reports, visualizations, and presentations to technical and non-technical audiences Where You'll Work This is a U.S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio's San Francisco office or conference locations. Who You Are Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Systems Biology, Data Science, or a related field 3+ years of postdoctoral or industry experience working with large-scale human omics data Broad experience across computational biology, with strength in structural biology and/or proteomics and the ability to connect across diverse modalities Strong Python software development skills, including package development or contributions to shared repositories with multiple collaborators Proven ability to work independently, take initiative, and drive projects from concept to completion Solid grounding in statistics and data science, with experience analyzing high-dimensional biological data Familiarity with AI/ML approaches for data exploration or interpretation, with sound judgment on when and how to apply them Excellent communication skills and ability to deliver results in a fast-moving, cross-disciplinary environment Rewarding Those Who Make the Mission Possible We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return. Financial Benefits: Market leading compensation 401K with 100% employer match on first 3% & 50% on the next 2% Employee stock purchase program Pre-tax commuter benefits Referral program with $2,500 award for hired referrals Health & Wellbeing: Comprehensive health care with 100% premiums covered - no cost to you and dependents Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions) Hybrid work model - employees have the autonomy in where and how they do their work Unlimited flexible paid time off - take the time that you need Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents Flex spending accounts & company-provided group term life & disability Subsidized lunch via Forkable on days worked from our office Skill Development & Career Paths: People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities At BridgeBio, we strive to provide a market-competitive total rewards package, including base pay, an annual performance bonus, company equity, and generous health benefits. Below is the anticipated salary range for candidates for this role who will work in California. The final salary offered to a successful candidate will depend on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience within the industry, educational background, location of residence and performance during the interview process. BridgeBio is a multi-state employer, and this salary range may not reflect positions based in other states. Salary$185,000-$220,000 USD

Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide. Location: Cincinnati, OH OR Remote Travel: Up to 20 days per year Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Senior Data Scientist, you will work on these problems by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. What You'll Do In this role, you'll work with a cross-functional team to spearhead algorithmic pricing across the business. You'll be a core member of the team responsible for upgrading the ad tech stack PatientPoint relies on to deliver impactful point of care content. To be successful, you'll need to develop a deep understanding of the goals and constraints of campaigns and leverage machine learning and optimization methods to consistently deliver impactful results for clients. As an experienced subject matter expert in this space, you'll also mentor and coach less experienced data science team members as they continue to develop their skills. What We Need 6+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders. Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights. Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field. Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration. Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation, optimization under constraints, etc. Experience promoting models through the lifecycle and monitoring model performance. Strong communication skills and a collaborative attitude for working with stakeholders. Desired Qualifications Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field . Professional experience in healthcare, pharmaceutical, and digital advertising industries. Experience with Snowflake, Cursor, Airflow, HEX, Gurobi. What You'll Need to Succeed Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them. Highly self-motivated and self-directed. Critical thinking with the ability to identify and solve problems in a fast-paced environment. The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience. Strong interpersonal, communication, and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and pricing. Consistent ability to deliver results aligned to expected timelines. Enthusiasm for responding to a dynamic range of questions and analytical challenges. Base Salary Band: $143,374 - $210,544 Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint's total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description. #LI-ED1 #LI-Remote About PatientPoint: PatientPoint is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation's largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com. Latest News & Innovations: Named A Best Place to Work! Read More Mike Walsh, COO answers "What Makes a Great Leader". Read More Recognized on Vault's Top Internship List. Read More What We Offer: We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates. PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

The Data Scientist on the Veracyte Data Engineering team will leverage data from diverse internal and external sources to derive actionable insights, develop predictive models, and support the company's mission of improving diagnostic accuracy. This role collaborates closely with data engineers, the Technical Program Manager (TPM), and cross-functional teams in a Scrum environment to deliver high-impact data solutions aligned with Veracyte's global data strategy and digital transformation goals. The position is open to US Remote (working PST hours). Key Responsibilities Data Analysis and Modeling: Analyze large, complex datasets from the Veracyte Lakehouse (e.g., genomic, clinical, operational data) to identify trends and patterns. Develop and deploy machine learning models using tools like Amazon SageMaker and Python for applications such as biomarker discovery and clinical decision support. Collaboration and Requirement Gathering: Work with the TPM and stakeholders to define data science requirements and user stories for inclusion in the team's Jira backlog. Partner with data engineers to ensure data pipelines and cataloged datasets meet analytical needs. Model Development and Optimization: Build, validate, and refine AI/ML models (e.g., LLM refinement, Verachat RAG) to support AI training and operational dashboards. Optimize models for performance and scalability within cloud environments like AWS and Snowflake. Data Interpretation and Reporting: Translate data insights into actionable recommendations for business operations, R&D, and healthcare providers. Create visualizations and reports to communicate findings to technical and non-technical audiences. Support Data Strategy: Contribute to the development of data-driven strategies by providing analytical expertise. Ensure models and analyses comply with data governance and security policies. Knowledge Sharing: Mentor junior team members and promote a culture of continuous learning in data science practices. Stay updated on emerging tools and techniques to enhance team capabilities. Who You Are: Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience: 5+ years (BS) or 3+ years (MS) of experience in data science or a similar role. Experience with healthcare or genomic data is a plus. Technical Skills: Proficiency in Python, R, or similar languages for data analysis and modeling. Experience with AWS services (e.g., SageMaker, Redshift) and Snowflake for data processing and storage. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Matplotlib, Tableau). Knowledge of SQL and data cataloging concepts is advantageous. Soft Skills: Strong analytical and problem-solving skills. Excellent communication skills to collaborate with cross-functional teams in a Scrum setting. Ability to work effectively in a fast-paced, innovative environment. #LI-Remote

Thank you for considering a career at Ensemble Health Partners! Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Thank you for considering a career at Ensemble Health Partners! Healthcare impacts each of us, yet the current system remains fundamentally broken. Many of us have seen loved ones face the devastating challenge of unaffordable care. At Ensemble, we are committed to changing this reality by driving down healthcare costs and eliminating obstacles, creating a system that truly puts people first, last, and always. We are dedicated to revolutionizing healthcare with cutting-edge, technology-enabled revenue cycle management solutions for health systems. We're here to solve how to reduce the friction and improve the cost of healthcare for better client and patient outcomes. As a leader in revenue technology, Ensemble is redefining what is possible in healthcare through innovation, purpose and human-centered solutions. We offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Why do we do what we do? It's all about our O.N.E Purpose: Our commitment to transforming healthcare goes beyond technology and innovation. It's rooted in a purpose-driven approach that emphasizes customer obsession, embraces new ideas, and strives for excellence-principles that define our O.N.E Purpose and inspire everything we do. Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Enabling healthcare professionals with technological solutions is key to the future of healthcare, and at Ensemble, we are solving problems in healthcare with AI. Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners to leverage the superpower of AI to solve some of the most complex problems in healthcare. Why Join Us? People First, Last + Always: At Ensemble, we prioritize people over processes, valuing your contributions, supporting your growth and enabling you to make a difference every day. Make a Difference with Purposeful Work: By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience. Innovate Boldly in a Dynamic Environment: Thrive in a dynamic, entrepreneurial culture within an organization that champions creativity and groundbreaking ideas. Shape the Future of Healthcare Across a Robust Client Base: Drive change across a vast client base, empowering healthcare systems at an unprecedented pace. When you innovate here, the ripple effect is enormous. Technology-Driven Innovation: Since 2021, our patented innovations and EIQ has reshaped healthcare through cutting-edge innovation. Job Summary Take on a pivotal role in addressing healthcare's toughest challenges with advanced AI solutions. As a Senior Data Scientist, you'll build AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. predictive analytics. Your work will enable hospitals and health systems to operate more efficiently and deliver better patient outcomes. The successful Senior Data Scientist candidate will work closely with business and product owners to understand their data requirements and product specification in order to help them make data-related decisions and product design choices. The role will also require close work with software engineers and developers to deliver solutions. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills. You should have practical experience in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Essential Job Functions Frequent travel may be required Lead AI strategy by delivering solutions that combine software engineering, statistics, and machine learning effectively for complex clinical applications. Execute deep, thoughtful, analytical experiments that utilize the most appropriate techniques and lead to substantial incremental improvements. Deliver excellent reports and presentations to highlight relevant hypothesis and insights that drive decision making within the organization. Identify, collect, transform and explore data to become the resident expert on available data within the organization. Coordinate between Engineers and Product Analysts and the broader organization to facilitate seamless collaboration. Other Preferred Knowledge, Skills and Abilities Ability to travel as needed 3+ years experience working in data scientist capacity. PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. 3+ years' experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. Statistical Analysis: Proficiency in statistical techniques and tools. Machine Learning: Knowledge of machine learning algorithms and their applications. Programming: Strong programming skills (e.g., Python, R, or SQL). Data Visualization: Ability to create meaningful visualizations. Ability to design, implement, test and deploy Machine Learning models. Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. Ability to work both independently and in a team-based, fast-paced environment. Excellent communication skills, both written and verbal. Desired Work Experience 5 to 7 Years Desired Education Post Graduate Degree or Equivalent Experience CAREER OPPORTUNITY OFFERING: Bonus Incentives Paid Certifications Tuition Reimbursement Comprehensive Benefits Career Advancement This position pays between $83,200 - $159,450 based on experience #LI-MT1 #LI-Remote Join an award-winning company Five-time winner of “Best in KLAS” 2020-2022, 2024-2025 Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024 Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024 Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023 Energage Top Workplaces USA 2022-2024 Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024 Innovation Work-Life Flexibility Leadership Purpose + Values Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include: Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation. Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories. Ensemble Health Partners provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact *****************. This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range. EEOC - Know Your Rights FMLA Rights - English La FMLA Español E-Verify Participating Employer (English and Spanish) Know your Rights

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Outcomes Research team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus's real world data offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team. Responsibilities: Participate in clinical projects with external Pharma, academic and other partners Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies Work on complex problems, exercising judgment in selecting and adapting methods as appropriate Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients Stay current with the latest methodological advances in real world studies Build infrastructure including reusable code Comply with all applicable regulations and Company procedures Required Experience: Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor's degree with 8+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields. Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages Ideal candidates will possess: Strong data manipulation and analysis skills Ability to tackle large, ambiguous problems Strong communication and presentation skills Self-starter Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research Experience in cancer genetics, immunology, or molecular biology Self-driven and works well in interdisciplinary teams Collaborative mindset, an eagerness to learn and a high integrity work ethic Sharp attention to detail and passion for delivering high quality and timely analytics deliverables Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations Nice to have: Experience with version control and software testing Experience with time to event analysis and methodology Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources) Hands-on experience in helping to prepare regulatory submissions to the FDA Experience supporting data science teams in model building and validation Client facing or consulting experience and comfort with presenting results to stakeholders #LI-NK1 #LI-REMOTE CHI: $100,000-$160,000 NYC/SF: $115,000-$175,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-JB1 The Role Forward Deployed Data Scientists at Qventus partner with clients to identify their most critical challenges and design data-driven solutions that deliver operational impact. Our customers rely on Qventus' analytics and machine learning capabilities for high-stakes decisions, and projects often begin with open-ended questions like, “How can we predict surgical case overruns?” or “What's the most effective way to improve patient discharge planning?” As a Data Scientist, you'll merge analytical rigor, statistical and ML expertise, and cross-functional collaboration to help organizations transform complex data into actionable insights. You'll work in small, agile teams with a high degree of independence, driving projects from concept to deployed solution. A given day might involve building predictive models, refining LLM-based information retrieval systems, working directly with clinical leaders to interpret results, developing scalable data pipelines, or translating findings into operational strategies. Key Responsibilities Build and refine statistical and machine learning models, including NLP and explainable AI approaches. Develop, tune, and deploy LLM systems, with strong preference for RAG-based solutions. Perform hands-on data engineering: cleaning, transforming, and building pipelines (SQL, Python). Collaborate with cross-functional teams to translate data insights into deployed products. Communicate findings clearly to both technical and non-technical audiences. What We're Looking For 3+ years of applied research in ML or statistical modeling. 2+ years developing and maintaining ML systems in production. 1+ years working with LLM-based applications. Strong coding skills in Python and SQL. Experience designing maintainable, high-quality codebases. Bonus Points Experience mentoring and building collaborative data science teams. Exposure to agent-based generative AI frameworks. Background in healthcare data or hospital operations. Experience with Databricks, AWS, Snowflake, DBT, or similar platforms. Master's degree or equivalent professional experience. Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards. Salary Range$150,000-$220,000 USD Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. Qventus participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. *Benefits and perks are subject to plan documents and may change at the company's discretion. *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world's largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data. The successful candidate will develop digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist III at Veracyte, the candidate will be expected to assist in developing innovative solutions to complex problems under company's objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Develop digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte's data. Evaluate and analyze DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are: REQUIRED EXPERIENCE: PhD in Data Science, Machine Learning, Applied Math or equivalent field. 5+ years of experience of data/applied scientist role or equivalent Expert in Python or equivalent language for AI/ML development in the context of computer vision / DPAI (this includes data manipulation and preparation.) Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Knowledge of cancer biology Proficiency with documentation and submission in regulated diagnostic environments (LDT or IVD). Experience working with real world clinical data. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$130,000-$171,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************

A bit about this role: As a Principal Data Scientist, you will serve as a key partner to Devoted Health's Claims and Payment Integrity (PI) teams, and broader Core Service Operations, leading efforts to improve payment accuracy and drive opportunities that allow us to invest more dollars in our members. In this role, you will build and own robust data pipelines and data models, shaping how Devoted uses data to identify over- and under-payment risk, quantify savings opportunities, and design systems that scale accuracy and throughput across both pre-pay and post-pay operations. This is a high-impact role critical to Devoted's success. You will report into our Data Science team and work closely with Product Managers, Software Engineers, Business Intelligence Analysts, and Operations leaders to design scalable, technology-driven solutions to complex operational problems. We are eager to find problem-solvers who iterate quickly, embrace ambiguity, and are deeply committed to our mission. You care about building strong technical foundations that enable real impact for our members and colleagues. You're excited by the evolving AI landscape, but grounded in fundamentals, treating AI and LLMs as powerful tools to accelerate problem-solving, not a replacement for clear thinking or strong data models. In this role, you will: Leverage domain knowledge of claims data and provider billing behavior to drive meaningful cost savings and improve operational decision-making Define high-impact analytical problems in Claims and PI, collaborating with business leads, product managers, engineers, and technical teammate Collaborate closely with engineering and business partners to ensure scalable, maintainable data pipelines, and determine our most impactful work to scale our payment accuracy program with new opportunities and technology Scope, communicate, and implement technical solutions collaboratively, delivering value iteratively while independently executing Advise stakeholders on evaluating and implementing internally developed LLM based agents to improve workflows, and perform data extraction to leverage output of those agents in feature stores and analysis Required skills and experience: Ability to thrive in a fast-paced, high-growth environment, that values quick iteration 7+ years of individual technical contributor experience Strong background in SQL, with fluency in modern data ecosystems (Snowflake, dbt, Looker, Python) Skilled at collaborating with cross-functional teams and influencing decisions with data-driven insights Comfort with both building scalable, maintainable data pipelines, and doing deep-dive statistical analysis, predictive modeling and/or experimental design to drive business strategies Desired skills and experience: Claims, Payment Integrity, or Medical Economics experience, especially in Medicare Advantage Comfort with “live” coding and real time problem solving, bringing up a SQL query and iterating in front of stakeholders is part of your toolkit Familiarity using LLM coding features within an IDE (Github Copilot, OpenAI Codex, Claude Code) Salary range: $128,057- $187, 083 annually plus eligibility for discretionary performance based bonus paid out annually. Target bonus is 10% however the actual payout is based on the terms of the bonus plan. The total compensation for this role is: $140,862-$205,791 (base plus bonus) #LI-Remote The pay range listed for this position is the range the organization reasonably and in good faith expects to pay for this position at the time of the posting. Once the interview process begins, your talent partner will provide additional information on the compensation for the role, along with additional information on our total rewards package. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Total Rewards package includes: Employer sponsored health, dental and vision plan with low or no premium Generous paid time off $100 monthly mobile or internet stipend Stock options for all employees Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles Parental leave program 401K program And more.... *Our total rewards package is for full time employees only. Intern and Contract positions are not eligible. Healthcare equality is at the center of Devoted's mission to treat our members like family. We are committed to a diverse and vibrant workforce. At Devoted Health, we're on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That's why we're gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company - one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission! Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted's Code of Conduct, our company values and the way we do business. As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Job Title Data Scientist - Medical document analysis 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum's deep learning portfolio. As an Data Scientist you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: How you will make an impact Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum's deep learning initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor's degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis US citizenship or permanent resident required Additional qualifications that could help you succeed even further in this role include: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices. Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $106,000 - $145,750, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with the terms.

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced data scientist to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the world's largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data. The primary objective of this role is to analysis millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphics to explain AI models with known clinical or genomic features. Strong track record of publishing in both clinical and technical peer-review journals or conferences is highly desired. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Assist in analyzing real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs. Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text. Assist in conducting statistical analysis and survival modelling for the clinical events defined from real-world data. Ability to visualize finding from the data and summarize them in a coherent story. Support data scientists in developing digital pathology AI models Work with bioinformatician, statistician, and medical experts in manuscripts. Who You Are: REQUIRED EXPERIENCE: PhD in Statistics, Data Science, or equivalent field. 3+ years of experience of data/applied scientist role or equivalent. Experience in working with real-world data of insurance claims and EHR records Proficient in SQL and R. Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent. Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data, including an attention to detail when sharing findings. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable. Knowledge of basic bioinformatics, genomics, and cancer biology Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields Research experience with developing AI models such as LLM, vision/time series foundation models. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$101,000-$140,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other The Position: This is a remote friendly position. On-site cube available in South San Francisco or San Diego. We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world's largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data. The successful candidate will assist in the development of digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist II at Veracyte, the candidate will be expected to adapt and develop solutions to complex problems under company's objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills. KEY RESPONSIBILITIES: Assist in the development of digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte's data. Assist in the evaluation and analyzing of DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. Participate in the design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly. Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. Who You Are: REQUIRED EXPERIENCE: PhD in Statistics, Biostatistics, Data Science or equivalent field. 3+ years of experience of data/applied scientist role or equivalent Proficient in Python or equivalent in carrying out AI development. Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent. Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects). Excellent in summarizing and communicating findings from data and attention to detail. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements. RELEVANT EXPERIENCE (preferred but not required): Knowledge of cancer biology Experience working with real world clinical data. #LI-Hybrid, or #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$101,000-$140,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************

The Program Integrity Data Scientist II is responsible for developing, implementing, managing, and deploying in-depth analyses that meet the information needs associated with payment accuracy, anomaly detection, and Fraud, Waste, and Abuse (FWA). Essential Functions: Build concepts as algorithms that identify claims for pre- or post-pay intervention based on probability of fraud, waste, and abuse. Algorithms are implemented into production workflows for action: medical record request and audit, downcode adjustment, denial and remittance communication, etc. Analyze and quantify claim payment issues and provide recommendations to mitigate identified program integrity risks. Identify trends and patterns using standard corporate, processes, tools, reports and databases as well as leveraging other processes and data sources. Conduct outcome analyses to determine impact and effectiveness of corporate program and payment integrity initiatives. Collaborate on the examination and explanation of complex data relationships to answer questions identified either within the department or by other departments as it relates to payment accuracy, anomaly detection, and FWA. Monitoring of and providing explanation of anomalies related to trends associated with the potential for Fraud Waste and Abuse across the corporate enterprise. Collaborate with the Legal Department, generating data and analyses to support Legal proceedings. Develop hypothesis tests and extrapolations on statistically valid samples to establish outlier behavior patterns and potential recoupment. Create, maintain, and communicate an analytical plan for each project. Mine and analyze large structured and unstructured datasets. Employ wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc. Develop visualizations that demonstrate the efficacy of developed algorithms. Provide statistical validation and analysis of outcomes associated with clinical programs and interventions. Collaborate with other teams to integrate with existing solutions. Communicate results and ideas to key stakeholders. Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption. Perform any other job related duties as requested. Education and Experience: Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field required Equivalent years of relevant work experience may be accepted in lieu of required education Three (3) years data analysis and/or analytic programming required Experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) preferred Healthcare experience required Competencies, Knowledge and Skills: Proficient in SQL and at least one of the following programming languages: Python / R / RAT STAT Familiarity with SAS is preferred Preferred beginner level of knowledge of developing reports or dashboards in Power BI or other business intelligence applications Ability to perform advanced statistical analyses and techniques including t-tests, ANOVAs, z-tests, statistical extrapolations, non-parametric significance testing, and sampling methodologies Working knowledge of predictive modeling and machine learning algorithms such as generalized linear models, non-linear supervised learning models, clustering, decision trees, dimensionality reduction and natural language processing Proficient in feature engineering techniques and exploratory data analysis Familiarity with optimization techniques and artificial intelligence methods Ability to analyze large quantities of information and identify patterns, irregularities, and deficiencies Knowledge of healthcare coding and billing processes, including CPT4, HCPCS, ICD-9, DRG and Revenue Codes preferred Proficient with MS office (Excel, PowerPoint, Word, Access) Demonstrated critical thinking, verbal communication, presentation and written communication skills Ability to work independently and within a cross-functional team environment Licensure and Certification:Working Conditions: General office environment; may be required to sit or stand for extended periods of time Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required Compensation Range: $83,000.00 - $132,800.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package. Compensation Type (hourly/salary): Salary Organization Level Competencies Fostering a Collaborative Workplace Culture Cultivate Partnerships Develop Self and Others Drive Execution Influence Others Pursue Personal Excellence Understand the Business This is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.#LI-GB1

Data Scientist We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools. You will collaborate closely with cross-functional teams to support data-driven decision-making and contribute to impactful business outcomes. They must possess knowledge of Python, and machine learning frameworks. Responsibilities • Analyze large and complex datasets to identify patterns, trends, and insights. Develop, test, and implement machine learning models for predictive analytics. • Develop and implement generative AI models, including LLMs, text-to-image and generative AI models. • Partner with data engineering teams to define data requirements and ensure data pipelines are optimized for analysis. • Conduct hypothesis testing, A/B testing, regression analysis, and other statistical methods to validate business assumptions. • Collaborate with engineering teams to deploy machine learning models into production and ensure model performance meets business needs. • Collaborate with other engineers, stakeholders and team members to develop innovative solutions. • Create compelling visualizations and dashboards using tools like Tableau, Power BI, or similar to present insights to both technical and non-technical audiences. • Ability to quickly identify opportunities for model improvement Requirements • Bachelor's or master's degree in computer science, Engineering, or a related field. • 5+ years of experience in developing and training AI/ML models. • Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn. • Knowledge of state-of-the-art generative AI models such as GPT, LLaMA, Gemini and DALL-E. • Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS • Experience with data visualization tools like Tableau, Power BI, or similar. • Strong understanding of deep learning, natural language processing, and computer vision. Preferred Qualifications: • Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in AI/ML. • Experience with version control systems like Git. • Familiarity with cloud-based ML model deployment (e.g., Azure ML, AWS SageMaker).

Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ***************************** What will you do? What are we looking for? About the Role: We are seeking a highly motivated and experienced Data Scientist/Analyst with a strong background in the Retail CPG industry to join our dynamic data team. In this role, you will be instrumental in transforming raw data into actionable insights, driving strategic decisions, and leveraging cutting-edge Agentic frameworks to automate and enhance data-driven processes. You will play a critical role in optimizing our supply chain, marketing strategies, and customer experience. Responsibilities: Data Cleansing and Preparation: Develop and implement robust data cleansing and preprocessing pipelines to ensure data quality and consistency. Extract, transform, and load (ETL) data from various sources, including POS systems, inventory management systems, and customer databases. Identify and resolve data anomalies, inconsistencies, and missing values. Create and maintain comprehensive data documentation. Retail CPG Analysis: Conduct in-depth analysis of sales, inventory, and customer data to identify trends, patterns, and opportunities. Develop and implement predictive models for demand forecasting, inventory optimization, and customer segmentation. Analyze the impact of marketing campaigns and promotional activities on sales and customer behavior. Generate actionable insights and recommendations to optimize business performance. Agentic Frameworks: Research, evaluate, and implement Agentic frameworks to automate data analysis and decision-making processes. Develop and deploy intelligent agents for tasks such as data extraction, anomaly detection, and report generation. Integrate Agentic frameworks with existing data pipelines and analytical tools. Explore and experiment with emerging AI technologies to enhance data-driven capabilities. Collaboration and Communication: Collaborate with cross-functional teams, including sales, marketing, and supply chain, to understand business requirements and deliver data-driven solutions. Communicate complex data insights to stakeholders in a clear and concise manner. Present data findings and recommendations through visualizations and reports. Requirements: Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field. Strong proficiency in SQL and Python (Pandas, NumPy, Scikit-learn). Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling and machine learning techniques. Proven ability to clean, process, and analyze large datasets. Experience with ETL processes and data warehousing. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Preferred Qualifications: Experience with Agentic frameworks (e.g., Auto-GPT, LangChain, etc.). Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Experience with time series analysis and forecasting. Knowledge of supply chain management and inventory optimization. Experience with customer segmentation and lifetime value analysis. Knowledge of natural language processing (NLP) and text analysis. Experience with LLMs. Experience with Retail POS data. Compensation, Benefits and Duration Minimum Compensation: USD 48,000 Maximum Compensation: USD 168,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Company:AHI agilon health, inc.Job Posting Location:Remote - USAJob Title: Clinical Data Scientist IIJob Description: The Clinical Data Scientist II supports Enterprise Analytics by performing complex healthcare data analyses and delivering clear, actionable insights to leaders. This role requires strong technical skills and healthcare knowledge and operates with moderate supervision, receiving guidance on priorities, scope, and approach while independently executing assigned work. Essential Job Functions: Data Analysis & Insights Perform advanced data analysis to identify trends, cost drivers, and improvement opportunities. Analyze structured and unstructured data to address complex clinical, financial, and operational questions. Develop insights and recommendations that support enterprise performance and organizational priorities. Conduct ad hoc data mining and analyses to support business needs. Collaboration & Execution Serve as an analytics point of contact for assigned subject areas, with guidance as needed. Work closely with clinical, operations, finance, and product teams to define problems and deliver analytical solutions. Execute analytics projects independently after initial direction is provided. Seek input and feedback to ensure alignment with analytical standards and expectations. Reporting & Visualization Develop, maintain, and enhance dashboards and automated reports using Tableau, Sigma, or similar tools. Produce clear trend reports and performance analyses for leadership review. Validate data outputs, troubleshoot reporting issues, and improve reporting accuracy and efficiency. Communication Clearly communicate findings and recommendations to technical and non-technical stakeholders. Present insights to leadership and market leaders in a clear, practical manner. Adjust messaging based on audience and context. Other Job Functions: Follow company policies and procedures. Provide responsive and professional internal customer service. Communicate clearly and effectively in written and verbal interactions. Set and complete goals with guidance and feedback from leadership. Required Qualifications: Minimum Experience Bachelor's degree in Mathematics, Statistics, Public Health (MPH), or a related field. Minimum of 4 years of experience in data science or analytics, preferably in healthcare. Experience working with large, complex datasets and data lake environments. Experience with claims data, CMS files, and trend analysis strongly preferred. Skills & Abilities Strong experience with healthcare analytics methods such as episode groupers and risk stratification. Proficiency in SQL and analytical tools such as SAS, R, or Python. Advanced experience with Excel and data visualization tools (Tableau, Sigma, or similar). Strong understanding of medical claims, clinical, and quality data. Ability to manage multiple priorities and meet deadlines with guidance. Strong analytical, statistical, and problem-solving skills. Clear written and verbal communication skills. Location: Remote - ILPay Range: $100,000.00 - $122,600.00 Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance. Everyone is focused on serving the customer and we do that by collaborating and supporting each other Associates look forward to coming to work each day Every associate matters and makes a difference It is truly a culture like no other - We hope you will join our team! Find out more about our company and culture here. TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity solutions to many of the largest health systems in the US. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital purchasing decisions and usage, improving caregiver satisfaction and productivity, maximizing resources for patient care, and delivering improved patient safety & protection. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States and an industry-leading data set of more than 6 million medical device records. A recent study by Fortune states that global healthcare asset management market is estimated to be $215B by 2032 with a CAGR of 25.3%. The United States is the largest single market for medical devices and accounts for about 40 percent of worldwide sales (BMI Research 2015). We are looking for the Chief Data Scientist who can accelerate our growth as a thought leader in Data Science, Research, and application of models to solve complex business problems. This person will lead the Company's efforts to create a data science practice dedicated to harnessing this proprietary data set to support commercialization of novel new market solutions to enable providers to make informed decisions regarding their clinical asset investments and utilization. This role will be one of the most prominent voices in the global medical device industry. As the Chief Data Scientist, you will be responsible for leading TRIMEDX data and AI architecture and design to help our customers increase their clinical asset utilization and reduce cost to operate. You will design our enterprise-wide AI and Machine Learning initiatives. This new role will be instrumental in shaping and implementing our AI roadmap, driving innovation through advanced data modeling, and applying automation to optimize operations across diverse data ecosystems. It involves orchestrating Agentic AI across multiple SaaS infrastructures, including, but not limited to, Snowflake, Azure, ServiceNow, and Looker. In this role, you will work with senior executives and customers to arrive at solutions that significantly lift their business and accelerate the growth. Key Responsibilities You are a strategic leader that has defined enterprise AI/ML platforms with a strong focus on LLMs, generative AI, and predictive modeling. You will implement model-driven features from initial concept to production, covering all stages including model creation, evaluation, performance metrics, A/B testing, drift monitoring and self-correction with feedback loops. You will coach and train talented engineers in their career growth and set an example for data and AI organization. Your experience is building pricing models, forecasting, smart work assignment are preferred. You stay at the forefront of AI/ML research and emerging technologies; evaluate and integrate cutting-edge tools and frameworks. You will foster a culture of experimentation and continuous learning within the data science team. You will create high levels of engagement across teams in partnership with other key leaders within broader teams. Skills and Experience • Minimum of 12 years of experience in computer science, data science, Statistics or related field. Experience preference in machine learning, data analytics or related disciplines with a focus on algorithmic product development. • Deep expertise in statistics, econometrics, predictive analytics, and related disciplines. • Working experience with modeling tools and languages such as Python, PyTorch, JAX, Tensorflow, SQL, and experience deploying production models on clouds platforms (AWS, Azure, GCP). • Must have demonstrated experience leading data driven initiatives. Experience leading people is preferred. • Demonstrated experience with multi-modal LLMs. Experience with A/B testing and cocreate MLOps practice for systemic application and maintenance of the models. • Hands on experience deploying high impact, high Throughput, highly scalable, multi-modal ML models in Azure. • Experience in data analysis using different types of datasets with statistics and predictive modeling foundations, including PC and foundation models. • Experience creating patents and publications and / or speaking at top conferences such as CVPR (Computer Vision and Pattern Recognition Conference), IEEE (The Institute of Electrical and Electronics Engineers), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), NeurIPS. • Successful and proven experience to collaborate and deliver results in a fast paced, multifaceted, matrix environment. • Proven success at working with abstract ideas and solving complex problems while driving collaboration across various teams. • Ability to be hands-on when necessary as well as strategic is required. • Excellent public speaking and presentation skills; strong written and verbal communication skills. • Ability to travel up to 50%. Education and Qualifications Bachelor's degree in Statistics, Economics or related field is required, or equivalent experience. Master's degree or Ph.D. in Statistics or Economics is highly preferred. #LI-Remote At TRIMEDX, we are committed to cultivating a workplace culture where every associate feels valued, supported, and empowered to thrive. This culture reflects our belief that our people are our foundation, their well-being is essential, and shared success is built through meaningful work, recognition, and opportunities for growth. We embrace people's differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our website to view our Workplace Culture Commitment , along with our social channels to see what our team is up to: Facebook, LinkedIn, Twitter. TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours.

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. ESSENTIAL FUNCTIONS OF THE ROLE * Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. * Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives * Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. * Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. * Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. KEY SUCCESS FACTORS The ideal candidate will have some of the following skills and an eagerness to learn the rest. * Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. * Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. * Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. * Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. * Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. * Problem Solving: A passion for solving puzzles and digging into data. * Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. BENEFITS Our competitive benefits package includes the following * · Immediate eligibility for health and welfare benefits * · 401(k) savings plan with dollar-for-dollar match up to 5% * · Tuition Reimbursement * · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level QUALIFICATIONS * EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification * EXPERIENCE - 3 Years of Experience

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.