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Genesis10 is currently seeking a Quantitative Analyst - Remote for a 9+ month contract position with our client, a global medical technology company, located in San Diego, CA. Pay range: $50.98 - $60.98 per hour, W2, depending on skill and experience level. Responsibilities: Conduct statistical analysis, data visualization, and translation of results using best practices and statistical methods to provide meaningful insights to clinical, medical, and commercial teams Manage large and diverse datasets, including data ingestion, documentation, cleaning, quality control checks, and storage in cloud environments Prepare summary statistics, tables & figures for reports, presentations & publications, write descriptions of analytical methods, and draw conclusions from analysis results Comprehensively synthesize and translate research findings, and effectively communicate actionable insights and recommendations to stakeholders at all levels of the organization Collaborate with cross-functional teams, including product development, medical affairs, and clinical education, to translate quantitative insights for HCP- and patient- facing communications Stay updated on industry trends, methodologies, and best practices in quantitative research, continuously refining skills and approaches to deliver high-quality insights Perform other responsibilities as assigned and requested Requirements: BS or BA, preference for Master's degree Strong foundation of knowledge in statistical analysis skills with application to diabetes management, psychology, and/or physiology Firsthand experience working with large datasets and in big data cloud environments for quantitative analysis, statistical analysis, and statistical modeling Proficient in Python and/ or R for statistical programming Experience visualizing data in programming environments Excellent written and verbal communication skills Desired skills: Experience planning and implementing data collection, organizing collected data, and using data collection tools like Qualtrics Experience working in a research role within a relevant industry (e.g., technology, healthcare) Well-organized, team player, detail-oriented, with effective time management skills Proficient with software tools like Microsoft Office Suite Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short term priorities identified by our top clinicians, as well as on long term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best in class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High throughput big data processing under redundancy / low latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

Overview SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine. At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden-empowering solo and small group practitioners to thrive alongside their clients. Recognized by MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and the Digital Health Awards in 2023, SimplePractice is proud to pave the future of health tech. Culture About Us At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day: We think big We take simplicity seriously We come as we are We act with humility We are built on trust Culture is everyone's responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers. Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico. The Role As a Data Analyst II, you'll play a key role in shaping our data-driven culture. Your day-to-day will blend technical problem-solving with strategic thinking-developing metrics frameworks, optimizing reporting pipelines, and uncovering insights that guide Product, Design, Engineering and other key business areas. Using SQL, Tableau, and advanced analytics techniques, you'll transform raw data into actionable insights, empowering stakeholders with the clarity they need. You'll collaborate cross-functionally to define success, measure impact, and drive continuous improvement. You'll have the opportunity to mentor others and foster a culture of innovation by using data to drive product enhancements and business improvements. Whether designing experiments, optimizing user experiences, or translating insights into action, your work will directly contribute to better business outcomes and customer experiences. Responsibilities Lead complex data analysis projects across multiple business units, managing end-to-end workflow from requirements gathering to final recommendations Design and execute advanced SQL queries to extract, transform, and analyze large datasets from various sources while ensuring data quality and integrity Develop and maintain statistical models and dashboards to track KPIs, identify trends, and generate actionable insights for business stakeholders Collaborate with Product, Engineering, and Design teams to deliver data-driven solutions that align with business goals. Effectively communicate insights and analysis results to stakeholders across SimplePractice, highlighting opportunities to better serve both the business and its customers. Mentor junior analysts and collaborate with data engineering teams to improve data infrastructure and accessibility Drive strategic decision-making by conducting in-depth analyses of business metrics, market trends, and customer behavior patterns to identify opportunities for growth and optimization Desired Skills & Experience 7+ years of experience in data analysis and analytics Proficient in SQL and data querying with programming languages such as SQL and Python. Experience building dashboards and visualizations in Tableau or similar BI tools. Ability to interpret complex data using advanced analytics, such as predictive modeling, to forecast trends and optimize business outcomes. Excellent verbal and written communication skills, with the ability to convey technical information to multiple stakeholders. Strong project management and organizational skills Enthusiastic about data and analytics, learning new techniques and skills, and working with data scientists and engineers. Bonus Points Experience with dbt Cloud or similar tools Knowledge of ETL pipelines and data warehouse best practices Knowledge of techniques such as regression analysis, hypothesis testing, and multivariate analysis. Benefits We offer a competitive benefits program including: Privatized Medical, Dental & Vision Coverage Work From Home stipend Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays Monthly Meal Reimbursement Holiday Bonus, 15-day Aguinaldo Hybrid Work Schedule & Catered Lunch A relocation bonus for candidates joining us from a different city Employee Resource Groups (ERGs) California Job Applicant Privacy Notice Thank you for your interest in opportunities at SimplePractice LLC ("SimplePractice" or "us" or "we" or "our"). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to theSimplePractice California Job Applicant Privacy Notice. For more information about our privacy practices, please contact us .

Posted April 16, 2025 San Francisco or NYC We're looking for a Lead Engineer to drive the future of AI-powered healthcare tools. At Health Universe, we're revolutionizing science and medicine by combining AI innovation with real-world clinical impact. We're building tools that empower clinicians to deliver better, faster, and more personalized care - and we're just getting started. We're well-funded, backed by top-tier VCs and seeking a Lead Fullstack Engineer to help shape the future of our AI Clinical Navigator Product. This role is perfect for someone who thrives in product-driven environments, loves prototyping, and is excited to work with cutting-edge LLM and rules-based systems in healthcare. Please note, this is a hybrid role (3 days on-site, 2 days remote). You'll Do As Lead Engineer of the Developer Products team, you'll be at the forefront of the tech that powers ML app deployment. You'll: Develop, and refine our React/Node.js web application and manage our cloud infrastructure. Support a UX that enables data scientists to easily launch applications on our platform. Swiftly drive feature ideation, creation and release. Champion data protection and security, ensuring our application complies with industry regulations. Troubleshoot and optimize application performance, maintaining our reputation for excellence and reliability. Share your expertise and passion through code reviews, helping to elevate our team and our technology. You'll Thrive in This Role If You Have Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 5+ years of fullstack experience in TypeScript / Next.js or an equivalent framework. Familiarity with ML concepts, including libraries like OpenAI and LangChain. Strong problem-solving skills, an eye for detail, and a team-first mentality. Exceptional communication skills, with a knack for demystifying complex technical concepts. Bonus Points For Familiarity with the ML libraries such as LangChain, Torch, Tensorflow, and Scikit-Learn. Experience in healthcare, either in research or clinical settings is strongly desired. Proficiency in Docker or other containerization technologies. Familiarity with Agile development methodologies and fast-paced startup life. Why Join Health Universe? Build mission-critical infrastructure that powers AI in real clinical settings. Work alongside a passionate, talented, and mission-driven team. Help make key decisions as we grow in a high-ownership, high-impact role. Work on a mission that matters - and a product that will shape the future of medicine. Join early, take ownership, help shape the future of our platform and company. Ready to Build Something That Matters? If you're excited to bridge AI and healthcare through world-class integrations, we'd love to hear from you. Apply today to join us in building the infrastructure that will transform medicine for generations to come. Interested? Join the minds shaping the future of healthcare on Health Universe. Full Name Email LinkedIn Profile URL We're automating healthcare workflows with AI, so patients invariably get the highest standard of personalized care, clinicians are empowered to practice at the top of their licenses, and organizations are optimized to operate and innovate at the speed of light. Join the revolution. Secured by 256-bit AES/SSL/TLS encryption Disclaimer: This information is a limited summary of diagnosis, treatment, and/or medication information. It is not meant to be comprehensive and should be used as a tool to help understand and assess potential diagnostic and treatment options. It does NOT include all information about conditions, treatments, medications, side effects, or risks that may apply to a specific patient. It is not intended to be medical advice or a substitute for the medical advice, diagnosis, or treatment provided by a clinician based on a patient's specific and unique circumstances. Patients must speak with a clinician for complete information about their health, medical questions, and treatment options, including any risks or benefits regarding use of medications. This information does not endorse any treatments or medications as safe, effective, or approved for treating a specific patient. Health Universe disclaims any warranty or liability relating to this information or its use. Machine learning is powerful, but requires human oversight to be used safely. "Humans in charge, AI in the loop."

Posted April 16, 2025 San Francisco or NYC We're looking for a Lead Engineer to drive the future of AI-powered healthcare tools. At Health Universe, we're revolutionizing science and medicine by combining AI innovation with real-world clinical impact. We're building tools that empower clinicians to deliver better, faster, and more personalized care - and we're just getting started. We're well-funded, backed by top-tier VCs and seeking a Lead Fullstack Engineer to help shape the future of our AI Clinical Navigator Product. This role is perfect for someone who thrives in product-driven environments, loves prototyping, and is excited to work with cutting-edge LLM and rules-based systems in healthcare. Please note, this is a hybrid role (3 days on-site, 2 days remote). You'll Do As Lead Engineer of the Developer Products team, you'll be at the forefront of the tech that powers ML app deployment. You'll: Develop, and refine our React/Node.js web application and manage our cloud infrastructure. Support a UX that enables data scientists to easily launch applications on our platform. Swiftly drive feature ideation, creation and release. Champion data protection and security, ensuring our application complies with industry regulations. Troubleshoot and optimize application performance, maintaining our reputation for excellence and reliability. Share your expertise and passion through code reviews, helping to elevate our team and our technology. You'll Thrive in This Role If You Have Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 5+ years of fullstack experience in TypeScript / Next.js or an equivalent framework. Familiarity with ML concepts, including libraries like OpenAI and LangChain. Strong problem-solving skills, an eye for detail, and a team-first mentality. Exceptional communication skills, with a knack for demystifying complex technical concepts. Bonus Points For Familiarity with the ML libraries such as LangChain, Torch, Tensorflow, and Scikit-Learn. Experience in healthcare, either in research or clinical settings is strongly desired. Proficiency in Docker or other containerization technologies. Familiarity with Agile development methodologies and fast-paced startup life. Why Join Health Universe? Build mission-critical infrastructure that powers AI in real clinical settings. Work alongside a passionate, talented, and mission-driven team. Help make key decisions as we grow in a high-ownership, high-impact role. Work on a mission that matters - and a product that will shape the future of medicine. Join early, take ownership, help shape the future of our platform and company. Ready to Build Something That Matters? If you're excited to bridge AI and healthcare through world-class integrations, we'd love to hear from you. Apply today to join us in building the infrastructure that will transform medicine for generations to come. Interested? Join the minds shaping the future of healthcare on Health Universe. Full Name Email LinkedIn Profile URL We're automating healthcare workflows with AI, so patients invariably get the highest standard of personalized care, clinicians are empowered to practice at the top of their licenses, and organizations are optimized to operate and innovate at the speed of light. Join the revolution. Secured by 256-bit AES/SSL/TLS encryption Disclaimer: This information is a limited summary of diagnosis, treatment, and/or medication information. It is not meant to be comprehensive and should be used as a tool to help understand and assess potential diagnostic and treatment options. It does NOT include all information about conditions, treatments, medications, side effects, or risks that may apply to a specific patient. It is not intended to be medical advice or a substitute for the medical advice, diagnosis, or treatment provided by a clinician based on a patient's specific and unique circumstances. Patients must speak with a clinician for complete information about their health, medical questions, and treatment options, including any risks or benefits regarding use of medications. This information does not endorse any treatments or medications as safe, effective, or approved for treating a specific patient. Health Universe disclaims any warranty or liability relating to this information or its use. Machine learning is powerful, but requires human oversight to be used safely. "Humans in charge, AI in the loop."

Healthcare Data Scientist/Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Tennessee, Knoxville Alternate Location(s): United States, Georgia, Atlanta United States, North Carolina, Charlotte United States, Texas, Houston United States, Texas, Dallas United States, Illinois, Chicago Position ID: J Employment Type: Full Time Position Description: CGI is seeking a versatile Healthcare Data Scientist/Engineer to join our team supporting CGI PulseAI for Healthcare delivery. This role is critical in bridging the gap between raw healthcare data and actionable insights. You will be responsible for designing and maintaining robust data pipelines while developing predictive models and analytics that improve health outcomes and operational efficiency. This role will work on a hybrid basis out of any location within the United States local to a CGI office. Your future duties and responsibilities: Data Engineering: Design, build, and maintain scalable ETL/ELT pipelines to ingest healthcare data (Claims, EMR/EHR, Pharmacy, and Lab results). Model Development: Develop and deploy machine learning models for risk stratification, disease prediction, and utilization management. Healthcare Interoperability: Work with healthcare data standards, including FHIR, HL7, and ICD-10/CPT coding. Data Quality: Ensure the integrity and security of Protected Health Information (PHI) in compliance with HIPAA regulations. Collaboration: Work closely with clinical staff and business stakeholders to translate complex data into clear, visual stories and strategic recommendations. Required qualifications to be successful in this role: Education: Master's or Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Experience: Minimum of 3 years of experience in a data-centric role, specifically within the healthcare or health insurance industry. Technical Stack: Languages: Proficiency in Python (Pandas, Scikit-learn, PySpark) and advanced SQL. Cloud: Experience with cloud platforms (AWS, Azure, or GCP) and big data tools (Databricks, Snowflake). Orchestration: Experience with Airflow, Databricks, and version control (Git). Domain Knowledge: Deep understanding of healthcare revenue cycles, payer operations, or clinical informatics. Preferred Skills Experience with Natural Language Processing (NLP) for unstructured clinical notes. Familiarity with Visualization tools like Tableau or PowerBI. Knowledge of Medical Claims lifecycle and Quality Measures (HEDIS/STARS). Pay Transparency & Benefits Anticipated Salary Range (Colorado & Remote): $89,600.00 - $188,100.00 USD Actual compensation will be determined based on factors such as geographical location, skills, experience, and education. Benefits: At CGI, we offer a comprehensive benefits package including: Competitive base salary and profit participation (bonus). Share Purchase Plan with employer match. Health, dental, and vision insurance. 401(k) retirement plan with company match. Flexible paid time off and paid holidays. Application Deadline: Applications for this role are accepted on an ongoing basis. We anticipate the initial application window to close by February 28, 2026. Skills: Cloud Computing Health Care Payers Python SQL What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Clickhere () to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

A global IT consulting firm is seeking a Healthcare Data Scientist/Engineer to enhance healthcare delivery through data insights. The ideal candidate has significant experience in developing data pipelines and machine learning models within the healthcare sector. Responsibilities include ensuring data integrity, deploying predictive models, and collaborating with clinical teams. This full-time position offers a hybrid work environment and competitive salary, along with a comprehensive benefits package.

Overview Data Science contributes to Cardinal Health within the Data & Analytics Function, which oversees the analytics life-cycle to identify, analyze and present insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base scientific methodologies from various disciplines, techniques and tools to extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and AI. Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. Responsibilities Lead the Development of Innovative AI solutions: design, implement, and scale sophisticated AI solutions that address key business challenges within healthcare by leveraging areas such as Machine Learning, Generative AI, and RAG Technologies. Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. Explore and leverage Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate outputs. Shape Our AI Strategy: Work with stakeholders across the organization to understand needs and translate them into actionable AI-driven or AI-powered solutions. Act as a champion for AI within Cardinal Health, influencing the technology roadmap and aligning with business objectives. Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a distributed team, fostering a collaborative and innovative environment. Embrace an AI-Driven Culture: promote data-driven decision-making and use AI insights to drive business outcomes and improve customer experience and patient care. Qualifications 8-12 years of experience with a minimum of 4 years in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred Bachelor's degree in related field, or equivalent work experience, preferred GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth Experience building production-ready Generative AI Applications involving RAGs, LLMs, vector databases and embeddings models. Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. Experience with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support, preferred. Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences, preferred. Proficiency in Python, statistical programming languages, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools, preferred. Experience in Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts, preferred. Experience building end-to-end ML pipelines from data ingestion and feature engineering to model training, deployment, and scaling, preferred. Experience implementing CI/CD pipelines for ML models and other solutions, ensuring seamless production deployment, preferred. Familiarity with RESTful API design and implementation, including building APIs to integrate ML models and GenAI solutions with existing systems, preferred. Understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with emphasis on ML/GenAI, preferred. Experience in Agile development environments (Scrum or Kanban) and strong understanding of Agile principles, preferred. Familiarity with DevSecOps principles and practices, incorporating coding standards and security into the development lifecycle, preferred. What is expected of you and others at this level Applies advanced knowledge to manage a wide variety of projects Participates in developing policies and procedures to achieve goals Recommends new practices, processes, metrics, or models Works on or may lead complex projects of large scope Projects may have significant and long-term impact Provides solutions that may set precedent Independently determines methods for completion of new projects Receives guidance on overall project objectives Acts as a mentor to less experienced colleagues Anticipated salary range: $121,600 - $173,700 Bonus eligible: Yes Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Application window anticipated to close: 11/05/2025 If interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by factors including geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here ()

Senior Software Engineer, SRE Join to apply for the Senior Software Engineer, SRE role at Abridge. Base pay range $210,800.00/yr - $248,000.00/yr About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role Abridge's services and engineering team are in hyperscale mode. We are looking for experienced SREs to join our team and help improve the performance, stability, and scalability of our software by multiples. This is a distributed systems oriented role and is approximately 80% software focused and 20% cloud infrastructure focused. You will help us build load testing and chaos engineering into our CI pipelines, leverage observability and profiling tools to identify performance bottlenecks and resolve them, work with diverse teams to help rehome their applications onto more scalable infrastructure, and ensure a smooth ride as we hyperscale our application adoption in the healthcare space. You may be embedded with other teams for weeks or months. The platform we are building needs to maximize both engineering velocity and security, will be under tremendous scale, and presents many opportunities to leverage creativity, autonomy, and leadership to take things 0 to 1. This is a unique opportunity in the industry to rapidly grow your career in a rapidly growing company leveraging the best of emerging technologies. What You'll Do Leverage load testing, chaos engineering, and other test practices to identify performance and latency bottlenecks across all of our systems, and make changes to application code to resolve them. Drive software changes that can rehome applications at the code level onto new infrastructure (run times, event driven infrastructure, databases, and more) in order to dramatically improve scalability as well as enable multi-tenant deployments. Identify and implement software configuration changes and performance tuning parameters that will dramatically improve performance and scalability. Build developer tools and software modules that help engineers build code faster and more effectively with more enablements to the entire engineering organization. Work with the Platform team to develop, and application teams to adopt, emerging elements of our internal developer platform, such as service templates and self-serve infrastructure. Work with application teams to establish and adopt SLOs and error budgets, and drive better metrics for application health that can drive automated canary releases, improved health monitoring, and better engineering practices. Uplevel our ability to respond to incidents by improving observability, runbooks, and incident response muscle across the organization. Evangelize, document, and train the engineering team on the solutions being built and uplevel them on cloud native design strategies and tools. Be a public evangelist for Abridge in the global platform engineering community, including conferences, open source, and research as we pioneer new AI-first cloud-native-first security-first implementations at scale. Who You Are 8+ years of software engineering experience focused on distributed systems or tooling, with an interest in engineering enablement and software scaling. At least 2 years experience as a back-end engineer focused on system performance and scalability. Experience reducing latency in software by multiples through leveraging observability and profiling tools and deriving great pleasure from doing so. Experience building on Kubernetes and scaling compute services on Kubernetes; experience with related cloud native technologies including ArgoCD, Argo Rollouts, Istio, etc. Comfortable implementing and securing services in Google Cloud Platform with Infrastructure as Code, including GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups and policies. Candidates without GCP experience but who have experience with Kubernetes are encouraged to apply. Experience building software with backend languages (e.g. Python, GoLang, Node, and Rust). Experience monitoring distributed systems with Prometheus, OpenTelemetry Collector, and Grafana (or something similar), including metrics collection, visualization, alerting, and using observability data to drive performance optimizations. Passion for engineering enablement and solving software and distributed systems scaling challenges under pressure. Must be willing to travel up to 10% Abridge typically hosts a three-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that allow the team to connect in person. Why Work at Abridge At Abridge, we're transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We're driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership-every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it's not just what we do-it's how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We're committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. How we take care of Abridgers Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. Paid Parental Leave: Generous paid parental leave for all full-time employees. Family Forming Benefits: Resources and financial support to help you build your family. 401(k) Matching: Contribution matching to help invest in your future. Personal Device Allowance: Tax free funds for personal device usage. Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. Compensation and Equity: Competitive compensation and equity grants for full time employees. and much more! Equal Opportunity Employer Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Staying safe - Protect yourself from recruitment fraud We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.

Clinical Data - Senior/ Staff Data Scientist About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. We have supported more than 2 million patients across 22 states, completed 130,000+ in home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125 M from investors such as a16z, General Catalyst, GV, and Accel. About The Role We're hiring a Senior/Staff Data Scientist to tackle high impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0 1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. Office Location We are a hybrid company based in the Bay Area with offices in San Francisco and Menlo Park. We care about work life balance and understand that there will be times where flexibility is needed. What You Will Do Explore clinical, operational, and patient engagement data to surface actionable insights. Analyze routing, capacity planning, and supply demand dynamics across regions. Identify drivers of preventive care engagement and patient follow through. Predict cancellations, risk, and future care needs using behavioral and clinical signals. Design and evaluate A/B experiments across product, growth, and operations. Support internal teams with dashboards, analytics, and ad hoc decisions. Help shape the data function's standards, tooling, and processes as an early leader. What You Have Done 5+ years in data science, advanced analytics, or applied data modeling. Worked with large, messy datasets to answer ambiguous, high stakes questions. Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar. Written high quality SQL across warehouses like BigQuery, Snowflake, or Redshift. Influenced product, ops, or strategy decisions through data insight and storytelling. Presented findings to leadership and collaborated with cross functional teams. What Gives You An Edge Experience with Python, Pandas, Scikit learn, or ELK (Elasticsearch + Kibana).> Exposure to GCP data tools like BigQuery, DataFlow, or DataForm. Familiarity with healthcare data (claims, HL7, CCDAs, HIEs). Experience with logistics, routing, or operational optimization problems. Designed or analyzed growth experiments or user behavior funnels. Communicated insights to C level stakeholders or mentored junior talent. Our Tech Stack Python, SQL, Superset, Looker, Tableau, Grafana. BigQuery, Snowflake, Redshift. Elasticsearch / Kibana. FHIR, HL7, claims data (bonus). Pandas, Scikit learn, DataForm, DataFlow. What We Offer Meaningful pre IPO equity. Medical, dental, and vision plans paid 100% for you and your dependents. Flexible PTO + 10 paid holidays per year. 401(k) with match. 16 week parental leave for birthing parent, 8 weeks for other parents. HSA + FSA contributions. Life insurance, short and long term disability coverage. Free daily lunch in office. Annual learning stipend. $180,000 - $225,000 a year. Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles on our official Sprinter Health Careers website.

Data Science Machine Learning Engineer LLM NLP Healthcare Join Flatiron Health as a Machine Learning Engineer and contribute to improving cancer care through data-driven insights. You'll develop and validate ML models to extract clinical information from unstructured medical notes, working with a cross-functional team across the US, Europe, and Japan. Your responsibilities include understanding stakeholder needs, building models using LLMs, traditional ML, and NLP techniques, validating models with scientists and oncologists, and collaborating with engineers to productionize and scale your work. Requirements: 3+ years of relevant experience in a technical role with a focus on ML. Strong background in applying ML to real-world problems. Experience with NLP and LLMs preferred. Experience working in a startup environment. Experience with Python and SQL. Nice-to-have: ML experience in healthcare. Experience with bias in machine learning and health equity. How to Apply Interested in this position? Please submit your resume and cover letter through the application portal.

A healthcare technology firm in San Francisco is hiring a Senior/Staff Data Scientist to transform messy real-world healthcare data into actionable insights. This hybrid role involves tackling high-impact issues related to logistics, patient behavior, and clinical operations. Candidates should have over 5 years in data science and strong SQL skills. The company offers pre-IPO equity, 100% paid medical and dental plans for employees, and a flexible PTO policy.

Location: Remote (Waterlily HQ is based on San Francisco, CA) About Us Waterlily uses AI to help families prepare for the largest financial and medical event in their lives, long-term care (LTC). Through comprehensive care planning and optimization, Waterlily is bending Americas multi-trillion dollar LTC cost curve. Our Team & Culture We've built a high-performance team culture based on three core principles: We're deeply committed to transforming how families prepare for long-term care Every team member genuinely believes in our mission and understands its importance We prioritize work that drives meaningful impact for our customers and company We make decisions swiftly while remaining thoughtful and open to iteration We focus on execution and results rather than just effort, recognizing that input doesn't necessarily equal output We value team members who show unlimited potential for growth and understanding Radical Transparency & Support We practice direct, honest communication while maintaining empathy and respect Feedback flows freely in all directions - from intern to leadership and back We begin meetings with brief check-ins to understand each other's context We create safe spaces for vulnerability and authentic collaboration We maintain high standards while supporting each other's growth and wellbeing Our team comprises some of the brightest, most ambitious, playful, and friendly people youll meet. Youll be working closely with our founding Waterlily team, including Lily, Evan, and Tim, and have direct access to a support team in the Philippines. Lily Vittayarukskul, our CEO, is a patented inventor who started college at 14, attending UC Berkeley, was working at NASA when she was 16, and lead product and engineering at IoT medical device startups for years before founding Waterlily. Evan Ehrenberg, our COO, is a member of Forbes 30 Under 30, started college at 11, also attending UC Berkeley, and then continued on to his Ph.D. in computational neuroscience at MIT at 16 before dropping out at 21 to found Clara Health, a clinical trials SaaS platform and B2B2C marketplace, which he sold 7 years later before joining Waterlily. Our founding engineer and data scientist, Tim Chung, holds a Masters of Computer Science from UPenn and is midway through a Data Science Masters at Georgia Tech. Tim excels in a trio of roles: data scientist, machine learning engineer, and full-stack software engineer. At his previous companies, he led teams to launch pioneering machine learning models. How We Work We optimize for remote-first collaboration while maintaining high productivity We emphasize contextual decision-making and practical solutions We prioritize deep work and focused execution over unnecessary meetings We consistently validate that we're working on the highest-impact initiatives We maintain a healthy, growth-oriented mindset while pushing for exceptional results We're looking for teammates who share our values of integrity, empathy, and intelligent hard work - people who can see beyond their immediate role to understand both company needs and customer impact. We're seeking a talented full-stack data scientist who embodies our values of resilience, execution focus, and mission-driven innovation. The ideal candidate isn't just a skilled data scientist they're a builder who sees beyond code to understand the larger business and human impact of their work. You have a track record of rapidly learning new technologies and business domains You see challenges as opportunities and adapt quickly to changing priorities You're comfortable with ambiguity and can make swift, informed decisions You have a history of building solutions that challenge traditional approaches You can point to specific examples where you've used automation or AI to multiply your impact You focus on getting things done rather than achieving perfection on the first try You have experience or strong interest in leveraging LLMs and offshore teams as force multipliers Leadership & Communication You give and receive direct feedback with grace and professionalism You can clearly explain complex technical concepts to non-technical stakeholders You're comfortable leading discussions and driving decisions You naturally build trust through transparency and reliable execution Mission Alignment You're drawn to meaningful work that impacts families' lives You understand that sustained high performance requires maintaining personal wellbeing You're excited about joining a team that values both ambitious goals and sustainable pace You're genuinely interested in transforming how families prepare for long-term care The Ideal Background While we value potential over experience, you likely have: Demonstrated ability to own and deliver full-stack projects end-to-end Experience with modern web development frameworks and cloud architecture Track record of improving team efficiency through automation and process innovation History of taking initiative and driving results without extensive oversight We're not looking for someone who's done it all before we're looking for someone who has the raw talent and drive to help us pioneer new approaches to software development and team collaboration. If you're excited about pushing boundaries, learning rapidly, and making a real difference in people's lives, we want to talk to you. About The Role You will be tasked with owning and scaling mission-critical features across the entire software stack. The goal will be to push beyond industry best-practices in software development by innovating new strategies that leverage LLMs and offshore teams to achieve company-defining results for a fraction of the time and cost of what other companies have previously achieved. You will be working with our founding US-based team and report directly to our co-founder and COO, Evan Ehrenberg, and you will grow to work with and support the management of a team of 40+ in the Philippines. You will collaborate on new ideas and implement quickly to test and iterate. Many ideas will not work and will be thrown away. Many ideas will need to be imperfect so that we can implement them faster. Everything will be iterative, no challenge will be too ambitious. You will be challenged to produce meaningful results every week. It will likely take you more than 40 hours per week to drive industry-leading results. We do not think that 80 hour weeks are sustainable or effective in the long run, and so while there may be incredibly important times where we mutually decide to be opportunistic to push ourselves to that amount of work to accomplish something very time sensitive, we expect you to generally limit yourself to 50-60 hour work-weeks. If you want to push harder we will urge you to reflect on ways to be more effective with your time so that you can dedicate your remaining time to benefit your mental and physical health. We will be in the trenches with you, and together we will create one of the most impactful companies that will help families prepare for what has historically been one of the most devastating times in their lives so that they can face long-term care with confidence and calm. Product Driven Customer Success: Your mission is to surprise and delight our customers through product initiatives that go above and beyond to make Waterlily their favorite company to work with. Full-Stack Development Leadership: Own and architect mission-critical features across the entire software stack, from frontend React/TypeScript applications to backend Node.js services, ensuring scalable and maintainable solutions that meet enterprise customer needs. AI/ML Integration: Design and implement innovative solutions leveraging LLMs and AI technologies to automate workflows, enhance product capabilities, and create novel approaches to software development that surpass traditional industry practices. Technical Architecture & Scalability: Develop and maintain AWS serverless architecture while ensuring system reliability, performance, and security at scale as we service Fortune 100 customers and major insurance carriers. Product Engineering: Collaborate closely with founders to rapidly prototype, test, and iterate on new features, balancing speed of implementation with code quality to achieve fast market validation. Offshore Team Leadership: Work with and support the management of a 40+ person Philippines-based team for QA testing, establishing best practices for collaboration and implementing systems to maximize team efficiency. Process Innovation: Pioneer new approaches to software development by combining LLMs, automation tools, and offshore resources to achieve significant improvements in development speed and cost-effectiveness. Cross-functional Collaboration: Partner with various departments to identify technical solutions for business challenges, particularly in areas of customer success, sales operations, and marketing automation. Technical Documentation: Create and maintain comprehensive documentation for systems, processes, and novel development approaches to enable knowledge sharing and team scaling. Key Skills & Qualifications Technical Expertise: We know that the best data scientists will pick up whatever tools they need on the job . click apply for full job details

This range is provided by Metric Bio. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $100,000.00/yr - $400,000.00/yr Direct message the job poster from Metric Bio Metric Bio is partnering with an elite neurotechnology company to recruit a Staff Machine Learning Engineer for their groundbreaking brain-computer interface (BCI) platform. This is an opportunity to join a team of world-renowned experts at the forefront of neurotechnology and AI. About the Team: You'll be working alongside: Leading neuroscientists and neurosurgeons from top institutions Machine learning pioneers with publications in NeurIPS, ICML, and Nature journals Seasoned engineers from premier tech and medical device companies Together, this multidisciplinary team is translating cutting-edge research into clinical reality, with backing from top-tier investors ($155M+ funding) and partnerships with renowned medical centers. The Opportunity: As a Staff ML Engineer, you will: Develop novel algorithms for real-time neural signal decoding that will define industry standards Architect robust ML systems processing high-dimensional neural data at the edge Collaborate directly with clinical teams to validate models in real-world settings Contribute to an FDA-regulated medical device with immediate patient impact What You will Bring: Advanced expertise in machine learning (RNNs, LSTMs, CNNs) and signal processing (spike sorting, LFP/ECoG analysis) Experience deploying production ML systems with strict latency requirements Strong Python skills (PyTorch/TensorFlow) and cloud infrastructure knowledge A track record of technical excellence through publications, patents, or shipped products Passion for bridging AI research with clinical applications For senior ML engineers seeking to apply their skills to one of the most meaningful challenges in technology today, this represents a career-defining opportunity. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesMedical Equipment Manufacturing Referrals increase your chances of interviewing at Metric Bio by 2x Sign in to set job alerts for "Machine Learning Engineer" roles.AI/ML Engineer (Multiple roles and seniority levels)Machine Learning Engineer, Early Stage Project Mountain View, CA $136,000.00-$185,000.00 2 weeks ago Software Engineer, AI Platform - New Grad Mountain View, CA $145,000.00-$170,000.00 2 weeks ago San Jose, CA $137,500.00-$236,500.00 2 weeks ago Palo Alto, CA $2,000.00-$2,500.00 2 weeks ago Data Scientist, Analytics - Safety Response San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Jose, CA $118,657.00-$187,200.00 3 days ago San Francisco, CA $140,000.00-$235,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels) San Francisco, CA $200,000.00-$300,000.00 5 months ago San Jose, CA $130,000.00-$200,000.00 1 week ago San Jose, CA $93,200.00-$170,600.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000. months ago Research Engineer - Machine Learning (ML) San Francisco, CA $180,000.00-$240,000.00 3 weeks ago Mountain View, CA $125,400.00-$188,100.00 2 weeks ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $160,000.00-$185,000.00 5 days ago Mountain View, CA $152,000.00-$228,000.00 2 weeks ago New Grads 2025 - General Software Engineer San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Principal Data Scientist $200,000.00/yr - $225,000.00/yr 200k to 225k base plus equity An early stage healthcare AI team is hiring their first dedicated data science leader. This is a founder level role for someone who wants to build the data function from scratch and work directly with national payers on real world problems at scale. You will work across predictive modelling, optimisation, exploratory analysis, claims and EMR datasets, and partner with product and clinical teams to shape features that deliver measurable ROI. This role suits someone who enjoys being both hands on and strategic, with the ability to design systems, processes and modelling approaches that become the foundation of the company's platform. What you will work on Build the data science function end to end Develop predictive models and prototype ML applications Interpret claims and EMR data to drive product decisions Create insights for payer clients and advise on clinical pathways Act as a future leader as the team grows What they look for 8 plus years in data science or advanced analytics Strong Python and SQL Experience with claims, EMR or complex healthcare datasets Someone who thrives in small teams with high autonomy Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology

Join to apply for the Software Engineering Manager role at VideaHealth. Base pay: $170,000.00/yr - $220,000.00/yr. About Us VideaHealth is a cutting edge AI powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to mentor the first company to diagnose a billion people globally. The product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increased operating efficiencies, and improved patient understanding. About The Position We are seeking a dynamic Software Engineering Manager to lead a talented team of engineers in developing innovative AI driven solutions for the healthcare industry. You will play a pivotal role in scaling our engineering efforts, driving software development excellence, and fostering a high performance culture within the team. You will work closely with product managers, data scientists, and other stakeholders to deliver new features and improve the overall value, performance, and scalability of our platform. Role Responsibilities Lead, mentor, and manage a team of software engineers, fostering a collaborative and high performance environment. Provide regular feedback, career development support, and technical guidance. Direct the technical design, development, deployment, and operations of a portion of our platform and products, including collaborations with machine learning engineers and physicians. Guide architectural decisions, code reviews, and ensure best practices in software engineering are maintained. Promote innovation while balancing speed of delivery and other considerations. Work closely with product managers, data scientists, and clinical experts to ensure the engineering team delivers features that align with customer needs and product definition. Ensure that the software systems are scalable, reliable, and performant to meet the demands of our growing user base. Promote a culture of continuous improvement by implementing processes, tools, and practices that increase the productivity and quality of the engineering team. Collaborate with HR and senior leadership to attract, hire, onboard, and maintain top engineering talent by making this the best place any of us has ever worked. Requirements Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software engineering, with 2+ years in a leadership or management role. Proven experience leading software engineering teams in an agile environment. Hands on experience as an engineer building distributed SaaS systems code with Javascript, Python, Java, C# or C++. Familiarity with NodeJS, building REST APIs, SQL, MongoDB, Docker, AWS and Linux. Strong understanding and opinions on engineering software processes, team and maturity metrics, life cycle methodology, CICD, test automation, and reliability management. Experience working with healthcare technologies, AI, or machine learning systems is a plus. Excellent communication skills, with the ability to articulate technical concepts to non technical stakeholders. Demonstrated experience in managing cross functional teams and driving projects from concept to delivery. Proactive, ambitious, and fast learner. Passion for healthcare technology and improving patient outcomes through innovation. Benefits This role offers opportunities to work at the forefront of AI and healthcare technology, with a supportive, inclusive, and innovative culture. Compensation Range: $170K - $220K. VideaHealth is committed to cultivating an equitable, inclusive, and supportive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.