Senior Data Scientist jobs at Guardian Life

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

About the Staff Data Scientist role at Headspace: We are looking for an experienced and strategic Staff Data Scientist to join our Data team. In this role, you will lead the measurement and delivery of insights and actionable recommendations that drive performance improvements in key areas such as enrollment, activation, engagement, retention, and member outcomes. You will conduct statistical analysis and develop data science solutions to drive data-driven decision making across marketing, product, content across channels. As a senior leader, you will work closely with cross-functional partners, including Engineering, Product Design, Product Management, Product Marketing, and Operations, to influence the planning, development, launch, and growth of our Channel offerings. This is a highly visible role that requires exceptional analytical expertise, strategic thinking, and the ability to translate business priorities into impactful analytics initiatives. By driving data-driven decision-making, you will play a pivotal role in helping us achieve our mission of providing everyone with access to lifelong mental health support. Location: We are currently hiring this role in the following locations: Hybrid in our San Francisco office, working 3 days per work from the office Remotely in New York City, New York Remotely in Seattle, Washington Candidates must currently permanently reside in the US full-time and be based in these specific cities. What you will do: Strategic Leadership: Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. Cross-Functional Partnership: Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks. Recommend and implement actionable insights that drive measurable results. Analytical Expertise: Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, data science approaches, and financial impact analysis, ensuring best practices are followed. Problem Solving: Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies. Process Automation: Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency. Data Products Development: Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders. Visionary Collaboration: Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks. Project Ownership: Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact. What you will bring: Required Skills: 8+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments. 6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals. 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization. 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact. 4+ years of progressive experience in healthcare analytics (preferred).8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark). Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel. Required expertise in SQL, Python, Looker, Tableau, Statistics, and Amplitude for event-based deep dives and advanced analytics. Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field. Location: We are currently hiring this role Hybrid for San Francisco (SF). Candidates must permanently reside in the US full-time. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team-one that's redefining how mental health care supports people today and for generations to come. Why You'll Love Working Here: A mission that matters-with impact you can see and feel A culture that's collaborative, inclusive, and grounded in our values The chance to shape what mental health care looks like next Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the E-Verify Program . Privacy Statement All member records are protected according to our . Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship-including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: ****************************************** #LI-HYBRID

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

At Target RWE, our mission is driven by a deep commitment to people, whether it's the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science. Overview In this role, you will be a foundational member of Target RWE's Quantitative Sciences (QS) organization, helping to establish Target as a leader in rigorous, reproducible, and regulatory-grade evidence generation. You will serve as a scientific owner of Target's data, developing deep expertise in its structure, quality, and applications while helping to build scalable data validation, curation, and analytic processes that ensure reliability and usability. Working closely with cross-functional partners in Product, Engineering, Clinical Operations, and Medical Science, you will design and execute analyses that demonstrate the value of Target's data, support customers across life sciences, regulatory, and academic settings, and build scalable, standardized analytic approaches for real-world evidence generation. What You'll Do 1. Data Ownership and Quality You will establish Target's data as a trusted, validated scientific asset. Ensure Target's data are accurate, complete, and fit for regulatory and scientific use by building systems and practices that establish trust in data integrity and readiness for analysis. Develop deep expertise in Target's data, understanding its structure, provenance, strengths, and limitations. Design and implement validation frameworks, data quality checks, and “fitness-for-use” assessments. Create and maintain data dictionaries and documentation that promote transparency and reproducibility. 2. Analytical excellence You will apply advanced analytic methods and scientific rigor to generate reliable, reproducible, and regulatory-grade real-world evidence from Target's data assets. Support the design and execution of retrospective and prospective studies using Target's data assets. Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses. Design and implement scalable, reusable analytic frameworks and modular code structures that support consistent execution across therapeutic areas and data products. Apply best practices in methodology, version control, code review, and documentation to ensure reproducibility. Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences. Contribute to publications, abstracts, and collaborations that advance Target's scientific reputation and influence. 3. Cross functional partnership You will work cross-functionally to connect data, science, and strategy, ensuring Target's evidence generation aligns with customer needs and business goals. Partner closely with Commercial, Medical Science, Product, Data Insights, Engineering, and Clinical Operations teams to align on data strategy and analytic priorities. Serve as the internal “voice of the customer,” anticipating how clients, regulators, and researchers will use Target's data. Participate in client and partner meetings to demonstrate the validity and value of Target's data products. Leverage your deep knowledge of Target's data assets to guide internal teams and external partners, anticipating analytical and operational challenges and helping to shape data use strategies. Translate analytic findings and data characteristics into clear, client-facing materials that demonstrate Target's data quality, representativeness, and scientific utility. What You'll Bring Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field. 5-10+ years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data). Strong programming expertise in R, and experience with reproducible analytic frameworks. Proven expertise in data quality assessment, validation, and curation workflows. Demonstrated ability to build and maintain reproducible coding practices and scalable analytic processes that enable efficiency, transparency, and consistency across studies. Strong communication, presentation and collaboration skills with cross-functional technical and scientific teams. Demonstrated ability to translate data insights into actionable scientific or business recommendations. What we offer you Hybrid + remote work environment Comprehensive health, dental, and vision for you and your family 401(k) with company match Generous PTO and company holidays Paid parental leave Hybrid role: Located in Research Triangle Park, North Carolina

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: Welcome to Dexcom's Behavioral Science team - a multidisciplinary group applying behavioral science, qualitative research, and data-driven insights to shape product strategy, clinical evidence, and patient-centered innovation. Within Behavioral Science, the Qualitative Workstream focuses on understanding lived experience, decision-making, motivation, and behavior change across people with diabetes and metabolic conditions. As a Senior Data Scientist, Human Behavior & Qualitative Insights, you will play a leadership role in designing and executing high-impact qualitative and mixed-methods research and translating those insights into clear, actionable guidance for Product, R&D, Clinical Affairs, Medical Affairs, and Marketing. Where you come in: Lead the design, execution, and interpretation of qualitative and mixed-methods research to address complex behavioral, clinical, and product questions across Dexcom's portfolio You will be responsible for conducting qualitative research activities, such as moderating focus groups, conducting interviews, and observing participant behavior, ensuring the collection of rich and meaningful data. Apply models of health behavior change (e.g., COM-B, Self-Determination Theory, Social Cognitive Theory, Health Belief Model, habit formation frameworks) to guide study design, analysis, and interpretation. Analyze qualitative data using advanced approaches and integrate findings with quantitative and digital-health data where appropriate. Translate rich qualitative findings into clear, actionable insights and recommendations that inform product development, digital experiences, clinical evidence strategy, and patient engagement initiatives. Serve as a strategic thought partner to cross-functional teams (Product, R&D, Clinical Affairs, Medical Affairs, Marketing), helping teams understand behavioral drivers, barriers, and opportunities. You will be responsible for preparing comprehensive research reports and presentations, effectively communicating findings, insights, and recommendations to stakeholders at all levels of the organization. You will be expected to stay updated on industry trends, methodologies, and best practices in qualitative research, continuously refining skills, and approaches to deliver high-quality insights. What makes you successful: Advanced academic training in behavioral science, psychology, public health, sociology or a related field, with strong grounding in qualitative and mixed-methods research. Demonstrated experience applying health behavior change models to real-world health, clinical, or digital-health contexts. Significant hands-on experience leading qualitative research programs from study design through analysis and stakeholder readout. Ability to synthesize complex qualitative findings and translate them into strategic insights that influence product, clinical, and business decisions. Strong communication and storytelling skills, with experience presenting to senior and cross-functional audiences. Proficiency with relevant tools (e.g., NVivo, ATLAS.ti, Qualtrics, and statistical software to support mixed-methods integration). What you'll get: A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. A full and comprehensive benefits program. Growth opportunities on a global scale. Access to career development through in-house learning programs and/or qualified tuition reimbursement. An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Travel Required: 5-15% Experience and Education Requirements: Typically requires a Bachelor's degree in a technical discipline, and a minimum of 5 - 8 years related experience or Master's degree and 2 -5 years equivalent industry experience or a PhD and0 2 years experience. Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at ****************************. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at ****************************. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: ***************************************************** Code=MERITAIN_I&brand Code=MERITAINOVER/machine-readable-transparency-in-coverage?reporting EntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $116,600.00 - $194,400.00

This is a full-time, benefit eligible remote position located in San Diego. Must be local or willing to relocate. The Data Scientist will provide advanced, integrated analytics in support of organizational objectives. Source, manage, and analyze large amounts of unstructured data; synthesize and communicate results to facilitate data-driven decision making. Partner with internal and external constituents to understand key requirements, plan and execute projects, and produce actionable data to support strategic initiatives and drive continuous performance improvement. Design data modeling processes, create algorithms and predictive models to extract key data, and analyze the data and share insights with clinical, operational, and business stakeholders. The right candidate will have a passion for discovering solutions hidden in large data sets and working with customers to improve outcomes and performance. #LI-JS1 Required Education/Experience/Specialized Skills: Bachelor's degree. Experience with different healthcare data sources (medical claims, authorizations, pharmacy, provider, membership). Experience with statistical modeling and interpretations of complex data. Experience in analyzing any of the following\: Medical expenses & utilization trends, RAF Scores, Comorbidities & disease burden, Healthcare quality measures. Excellent critical and analytical thinking, customer service skills, and strong written and verbal communication skills. Experience in R, Python, or SAS programming. Intermediate knowledge of SQL, ETL, data modeling, and reporting technologies. Intermediate knowledge of Power BI or Tableau. Must have knowledge and skills necessary to explain complex concepts to team members and leadership. Ability to work both independently and collaboratively as part of a team. Preferred Education/Experience/Specialized Skills/Certification: Master's Degree in related field (Data Science, Quantitative, Clinical, or Engineering). Experience in working with financial datasets (e.g., accounting, health plan claims, P&L). Prior experience with Epic data structures and reporting environments. Expertise in analytics for value-based populations. Experience in predictive modeling for clinical intelligence. Experience in market intelligence and financial projections.

Nimble is a healthtech company on a mission to simplify access, understanding and management of healthcare. We are starting by building the largest, most loved pharmacy business in the world. We are a fast-growing, technology-first startup driven by perfecting the patient and pharmacist experience. Nimble fosters a culture of collaboration, open communication and deliberate action that allows us to face today's most exciting challenges head-on and grow incredibly quickly. As a Senior Data Scientist / Analyst, you will be a core driver for initiatives spanning across the company, using data to influence business and product decisions. You will combine analytical rigor with statistical modeling and machine learning expertise to understand what is happening, why, and what your team can do about it. As a resident data expert, you will empower teams to make data-driven decisions through insightful analyses, predictive modeling, and clear communication of complex findings.You will: Drive key business and product initiatives through actionable insights and predictive modeling Develop and deploy statistical and machine learning models to solve business problems Communicate complex findings through clear storytelling for both technical and non-technical audiences Design and optimize data structures (events, tables, pipelines) that are efficient, logical, and forward-thinking in collaboration with data engineering Contribute to sustainable, scalable processes and best practices for data usage across the company Coach data scientists / analysts What you bring: Bachelor or higher degree in STEM (science, technology, engineering, mathematics / statistics), or similar fields 5+ years of experience in data science, data analytics, or a related quantitative role Proficiency in SQL for data analysis, cleaning, and enrichment Proficient in other languages/tools (i.e. R, Python, Excel, etc.) Strong grasp of statistical concepts and experimental design (A/B testing, regression, hypothesis testing) Expertise in Python or R for statistical analysis and modeling techniques, (i.e. feature engineering, classification, clustering, model evaluation, etc) Proven track record of utilizing analyses and modeling solutions to drive business/product initiatives Excellent communication skills for both technical and non-technical collaboration A strong foundation in prioritization and problem-solving About you: You feel a strong sense of ownership over your work You have urgency and intensity towards concrete outcomes You value coaching and seek to improve your teammates and yourself You have conviction in your decisions, but are ready and willing to listen to diverse perspectives What's in it for you: Compassionate and driven colleagues in a fun environment where success is celebrated Direct access to executives and a transparent company culture Rare opportunity to change an industry and lives of millions We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do Medical / Dental / Vision / 401K package that fits your needs Generous Vacation Policy - 15 days of paid vacation in the first year, then increases to 20 days after one year 11 Paid Holidays Work out of our HQ in beautiful downtown Redwood City At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey! Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.

Job DescriptionNimble is a healthtech company on a mission to simplify access, understanding and management of healthcare. We are starting by building the largest, most loved pharmacy business in the world. We are a fast-growing, technology-first startup driven by perfecting the patient and pharmacist experience. Nimble fosters a culture of collaboration, open communication and deliberate action that allows us to face today's most exciting challenges head-on and grow incredibly quickly. As a Senior Data Scientist / Analyst, you will be a core driver for initiatives spanning across the company, using data to influence business and product decisions. You will combine analytical rigor with statistical modeling and machine learning expertise to understand what is happening, why, and what your team can do about it. As a resident data expert, you will empower teams to make data-driven decisions through insightful analyses, predictive modeling, and clear communication of complex findings.You will: Drive key business and product initiatives through actionable insights and predictive modeling Develop and deploy statistical and machine learning models to solve business problems Communicate complex findings through clear storytelling for both technical and non-technical audiences Design and optimize data structures (events, tables, pipelines) that are efficient, logical, and forward-thinking in collaboration with data engineering Contribute to sustainable, scalable processes and best practices for data usage across the company Coach data scientists / analysts What you bring: Bachelor or higher degree in STEM (science, technology, engineering, mathematics / statistics), or similar fields 5+ years of experience in data science, data analytics, or a related quantitative role Proficiency in SQL for data analysis, cleaning, and enrichment Proficient in other languages/tools (i.e. R, Python, Excel, etc.) Strong grasp of statistical concepts and experimental design (A/B testing, regression, hypothesis testing) Expertise in Python or R for statistical analysis and modeling techniques, (i.e. feature engineering, classification, clustering, model evaluation, etc) Proven track record of utilizing analyses and modeling solutions to drive business/product initiatives Excellent communication skills for both technical and non-technical collaboration A strong foundation in prioritization and problem-solving About you: You feel a strong sense of ownership over your work You have urgency and intensity towards concrete outcomes You value coaching and seek to improve your teammates and yourself You have conviction in your decisions, but are ready and willing to listen to diverse perspectives What's in it for you: Compassionate and driven colleagues in a fun environment where success is celebrated Direct access to executives and a transparent company culture Rare opportunity to change an industry and lives of millions We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do Medical / Dental / Vision / 401K package that fits your needs Generous Vacation Policy - 15 days of paid vacation in the first year, then increases to 20 days after one year 11 Paid Holidays Work out of our HQ in beautiful downtown Redwood City At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey! Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Center for Immune Oncology (CIO) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated **Senior Scientist** to support advanced analytics and data integration efforts across imaging, spatial proteomics, and high-dimensional cytometry data. The successful candidate will play a key role in processing, analyzing, and modeling complex biomedical data - integrating spatial imaging, CyTOF, and clinical data - to enable discovery and translational research collaborations within the CIO. 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 physicians/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Perform **imaging and image analysis** for spatial proteomics and multiplexed imaging datasets. + Conduct **CyTOF and FCS data analysis** , including data preprocessing, normalization, clustering, and visualization. + Analyze **medical record data** , integrating structured and unstructured clinical information as appropriate. + Manage and wrangle **large, multimodal datasets** , including high-resolution images and patient-level data. + Support **database integration** , including interoperability and linkage with **REDCap** and other institutional data systems. + Provide **analytic and statistical support** for CIO projects - emphasizing development of custom models, analytical pipelines, and reproducible outputs for collaborative teams. + Develop and deliver **high-quality graphics and visualizations** to communicate findings effectively to both scientific and clinical collaborators. + Proficiency in **R** and/or **Python** , with experience in reproducible data analysis workflows. + Demonstrated ability in **data wrangling** , transformation, and integration of heterogeneous data sources. + Experience working in **computational immunology** . Human immuno-oncology research in an academic or industry setting analyzing clinical trial biomarkers is a plus. + Hands-on experience with **image analysis and processing** , particularly in biological or clinical imaging contexts. + Strong understanding of **statistical modeling** and computational methods for large datasets. + Experience working in **Unix/Linux cluster environments** , using **Git/GitHub** , and containerized workflows (e.g., Docker, Singularity). + Proficiency with reproducible research and reporting tools such as **Jupyter** , **R Markdown** , **Quarto** , and **Posit Connect** (or similar). + Strong communication and collaboration skills, including ability to document, present, and explain complex analyses to multidisciplinary teams. + Advanced degree (PhD) in **bioinformatics, computational biology, data science, biostatistics, or a related field** . 6+ years experience post education and 1+ year management responsibility. + Experience with **spatial omics** , **single-cell** data, or **multimodal integration in human disease contexts** . + A good working knowledge of molecular and disease biology, especially familiarity with immunology. + Familiarity with **medical informatics** , **clinical data standards** , or **REDCap API/database programming** . **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) $95,000 - $125,100 **Environment and Opportunities** The position offers opportunities to collaborate across a diverse set of projects within the Center for Immuno-Oncology (CIO), working closely with experts in computational biology, immunology, and clinical research. The Scientist II/Senior Scientist will sit within the Department of Data Science (DS) and be mentored by faculty directors from both CIO and DS. They will contribute within a small team to data-driven discovery, developing robust and scalable analytic tools for translational research. 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 equally committed to diversifying our faculty and staff. 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**

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

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. 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

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. What you'll do: * Design and implement comprehensive evaluation strategies for AI models, including both offline and online (production) settings. * Conduct statistical analyses and hypothesis testing to assess model accuracy, precision, recall, F1 score, ROC-AUC, and other relevant performance metrics. * Collaborate with clinical data labeling teams, ML engineers and data scientists to define validation datasets, ground truth standards, and performance benchmarks. * Analyze model outputs to identify strengths, weaknesses, and potential biases, and provide actionable recommendations for improvement. * Develop and maintain metrics, dashboards, and reports to monitor model performance, drift, and stability over time. * Communicate findings and recommendations to technical and non-technical stakeholders through clear visualizations and presentations. * Develop and maintain documentation and metrics for data quality, profiling results, and value assessments to support transparency and continuous improvement. Qualifications: * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. * 4+ years of experience in data science or machine learning, with a focus on model evaluation and validation. * Strong command of statistical analysis and hypothesis testing. * Proficiency in Python and/or R, with experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. * Familiarity with model monitoring tools and MLOps platforms is a plus. * Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Tableau) to communicate model performance is a plus. * Excellent problem-solving skills and attention to detail. * Strong communication skills, with the ability to explain complex technical concepts to diverse audiences. * Experience working in a collaborative, cross-functional team environment. CHI: $100,000-$160,000 USD NYC/SF: $115,000-$175,000 USD 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.

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

ultrafocused - Work together to fearlessly uncover new possibilities The Sr Data Scientist, Manufacturing Science and Technology (MSAT) will provide technical leadership to support both early- and late-stage AAV GMP manufacturing at internal and contract gene therapy facilities. Reporting to the Sr. Director of MSAT, this role will focus on developing data management solutions to enable monitoring the ongoing GMP production and drive process improvements for future lifecycle management. The ideal candidate will bring a strong foundation in biologics/AAV process knowledge combined with statistical expertise. Success in this role requires a high degree of professionalism, cross-functional collaboration, and an innovative mindset. Work Model: Core Lab & Ops: This role typically requires that the majority of the work be conducted on-site. Responsibilities: * Build and implement the Continued Process Verification (CPV) framework for AAV programs, including online/offline data management solutions, data integrity verification process, statistical tools and predictive models to monitor and improve batch performance. * Establish and oversee systems for data collection, monitoring, and analysis systems for early and late-stage programs, ensuring compliance with 21 CFR Part 11 and alignment with regulatory expectations. * Develop and apply advanced statistical data modeling approaches (e.g., multivariate analysis, regression, machine learning techniques) to enable predictive modeling, deviation investigations and continuous improvement. * Support data review and report writing with data trending and statistical models, for proactively actionable recommendations * Support deviation investigations and tech transfer activities by leveraging statistical expertise to analyze historical data, and to set or revise in-process control limits. * Lead initiatives to develop platform process models (HEK vs. HeLa) across multiple GMP manufacturing sites to support proactive process monitoring; stay current with the AAV manufacturing technology innovations, and support implementation of process improvements for life cycle management. * Collaborate with Global CMC Development, external CDMOs, Manufacturing, Quality Assurance, Quality Control, and other stakeholders to enable robust CPV strategy execution. * Contribute to regulatory filings by authoring CPV-related content, responding to agency inquiries, and authoring sections of briefing books and submissions. * Author and maintain technical documentation, including CPV protocols and reports, statistical models, SOPs for data management, and lifecycle management protocols and reports. Requirements: * Master's degree in Virology, Molecular Biology, Genetics, Biochemistry, Chemical Engineering, Bioinformatics, Biostatistics or an equivalent discipline preferred * 5+ years in biopharma industry. Biologics, Gene / Cell therapy experience preferred * Understanding of biologics/AAV manufacturing process is required and experience in manufacturing technical support, process development, and/or MSAT roles is preferred * Demonstrated experience in data management, process modeling, and predictive analytics, preferred with GMP environment * Proficiency in biostatistics and data management tools (e.g., DOE, multivariate analysis, regression, Python/R/SAS). * Experience with regulatory filing is a plus * Proven ability to deliver results successfully, collaborating with multi-cultural and geographically diverse teams * Demonstrated ability to work in a team and in a fast-paced environment. Proven ability to independently manage multiple competing priorities, while working on multiple projects simultaneously * Excellent communication and presentation skills * May require up to 15% travel when necessary. #LI-CK1 #LI-Onsite

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. _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._ **PRIMARY DUTIES AND RESPONSIBILITIES:** + Meet and consult with scientists requiring data science support and design plans and solutions + Delivery of results for projects + Work as part of the broader team to identify longer-term solutions that will improve quality, + speed and efficacy of our current projects and programs + Evaluate and benchmark new libraries; prototype and pipeline development. + Deep data science skills, at the interface between computer science and statistics **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Excellent communication and effective problem-solving skills, track record in serving a variety of + Diverse customers and projects + Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. + Natural language processing experience preferred + Shiny, Spyre, Flask, WebDev and prototyping experience preferred + JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred + Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. + Significant scientific background with prior experience in clinical research **MINIMUM JOB QUALIFICATIONS:** + PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment + 5 to 8 years of experience post PhD + Prior experience supervising at least 1 person preferred **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) $133,700 - $138,000 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**

LifeLong Medical Care has an exciting opportunity for a Data Scientist to provide programming support to build analytic applications to support business decision making in the organization. This is a part time, 30 hour/week, benefit eligible position. LifeLong Medical Care is a multi-site, Federally Qualified Health Center (FQHC) with a rich history of providing innovative healthcare and social services to a wonderfully diverse patient community. Our patient-centered health home is a dynamic place to work, practice, and grow. We have over 15 primary care health centers and deliver integrated services including psychosocial, referrals, chronic disease management, dental, health education, home visits, and much, much more. Benefits Compensation: $71k - $75k/year. We offer excellent benefits including: medical, dental, vision (including dependent and domestic partner coverage), generous leave benefits including ten paid holidays, Flexible Spending Accounts, 403(b) retirement savings plan. Responsibilities * Under the supervision of the Manager of Analytics, the data scientist is a senior and key part of data analytic team, developing data insights through reporting and provides assistance to all data reporting tool users in Lifelong Medical Care, including documentation of report requirements and report implementations. * The senior analyst is the core content expert for designated subjects as assigned by Manager of Analytics or designee * Maintains integrity of the data warehouse in their content areas or as assigned * Develops and maintains internal reporting services platform using SSRS and Tableau. Supports Data Analysts and Junior Analysts in report development. * Provides analytic support and data insights to one or multiple departments and develops a variety of complex ad hoc, production and/or trend reports to support business decisions and operational processes for internal and external clients. * Collaboratively develops data strategy for core content area * Arranges project requirements in programming sequence by analyzing requirements; preparing a work flow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. * Communicates with clients and key stakeholders to develop and create specification analytical applications. * Develops and maintains applications and databases by evaluating client needs; analyzing requirements; developing software systems. * Performs additional duties in support of the team and immediate reporting need of other departments as assigned by supervisor. * Protects operations by keeping information confidential and complies with HIPAA requirements. Qualifications * Commitment to the provision of primary care services for the underserved with demonstrated ability and sensitivity in working with a variety of people from low-income populations, with diverse educational, lifestyle, ethnic and cultural origins. * Be creative and mature with a "can do," proactive attitude. * Ability to effectively support, motivate and supervise staff, encourage and nurture development and growth, to build a strong and productive team. * Strong organizational, administrative, multi-tasking, prioritization and problem-solving skills. * Ability to work effectively under pressure in a positive, friendly manner and to be flexible and adaptive to change. * Ability to take initiative, work independently and make sound judgments within established guidelines; understand and apply oral and written instructions; establish and maintain effective working relations with staff, clinical providers, managers and external agencies or organizations. * Excellent interpersonal, verbal, and written skills and ability to effectively work with people from diverse backgrounds and be culturally sensitive. * Work in a team-oriented environment with a number of professionals with different work styles and support needs. * Conduct oneself in internal and external settings in a way that reflects positively on LifeLong Medical Care as an organization of professional, confident and sensitive staff. * Ability to continuously scan the environment, identifying opportunities for improvement and intersections with other departments of LifeLong Medical Care and partner organizations. Job Requirements * Bachelor's degree (Masters preferred) in Computer Science or a related field or an equivalent combination of education and/or experience. * Minimum 10 years of experience in programming and data analysis involving duties listed above. * Experience in Healthcare related field and/or data reporting related work and data visualization development * Excellent skills in SQL scripting and knowledge of database development. * Basic understanding of SSIS * Proficiency in Microsoft Offices, including Excel, PowerPoint, Word. Job Preferences * Community Health Center experience. * Microsoft Certified Solution Associate (MCSA) in SQL database development.

LifeLong Medical Care has an exciting opportunity for a Data Scientist to provide programming support to build analytic applications to support business decision making in the organization. This is a part time, 30 hour/week, benefit eligible position. LifeLong Medical Care is a multi-site, Federally Qualified Health Center (FQHC) with a rich history of providing innovative healthcare and social services to a wonderfully diverse patient community. Our patient-centered health home is a dynamic place to work, practice, and grow. We have over 15 primary care health centers and deliver integrated services including psychosocial, referrals, chronic disease management, dental, health education, home visits, and much, much more. Benefits Compensation: $71k - $75k/year. We offer excellent benefits including: medical, dental, vision (including dependent and domestic partner coverage), generous leave benefits including ten paid holidays, Flexible Spending Accounts, 403(b) retirement savings plan. Responsibilities Under the supervision of the Manager of Analytics, the data scientist is a senior and key part of data analytic team, developing data insights through reporting and provides assistance to all data reporting tool users in Lifelong Medical Care, including documentation of report requirements and report implementations. The senior analyst is the core content expert for designated subjects as assigned by Manager of Analytics or designee Maintains integrity of the data warehouse in their content areas or as assigned Develops and maintains internal reporting services platform using SSRS and Tableau. Supports Data Analysts and Junior Analysts in report development. Provides analytic support and data insights to one or multiple departments and develops a variety of complex ad hoc, production and/or trend reports to support business decisions and operational processes for internal and external clients. Collaboratively develops data strategy for core content area Arranges project requirements in programming sequence by analyzing requirements; preparing a work flow chart and diagram using knowledge of computer capabilities, subject matter, programming language, and logic. Communicates with clients and key stakeholders to develop and create specification analytical applications. Develops and maintains applications and databases by evaluating client needs; analyzing requirements; developing software systems. Performs additional duties in support of the team and immediate reporting need of other departments as assigned by supervisor. Protects operations by keeping information confidential and complies with HIPAA requirements. Qualifications Commitment to the provision of primary care services for the underserved with demonstrated ability and sensitivity in working with a variety of people from low-income populations, with diverse educational, lifestyle, ethnic and cultural origins. Be creative and mature with a “can do,” proactive attitude. Ability to effectively support, motivate and supervise staff, encourage and nurture development and growth, to build a strong and productive team. Strong organizational, administrative, multi-tasking, prioritization and problem-solving skills. Ability to work effectively under pressure in a positive, friendly manner and to be flexible and adaptive to change. Ability to take initiative, work independently and make sound judgments within established guidelines; understand and apply oral and written instructions; establish and maintain effective working relations with staff, clinical providers, managers and external agencies or organizations. Excellent interpersonal, verbal, and written skills and ability to effectively work with people from diverse backgrounds and be culturally sensitive. Work in a team-oriented environment with a number of professionals with different work styles and support needs. Conduct oneself in internal and external settings in a way that reflects positively on LifeLong Medical Care as an organization of professional, confident and sensitive staff. Ability to continuously scan the environment, identifying opportunities for improvement and intersections with other departments of LifeLong Medical Care and partner organizations. Job Requirements Bachelor's degree (Masters preferred) in Computer Science or a related field or an equivalent combination of education and/or experience. Minimum 10 years of experience in programming and data analysis involving duties listed above. Experience in Healthcare related field and/or data reporting related work and data visualization development Excellent skills in SQL scripting and knowledge of database development. Basic understanding of SSIS Proficiency in Microsoft Offices, including Excel, PowerPoint, Word. Job Preferences Community Health Center experience. Microsoft Certified Solution Associate (MCSA) in SQL database development.

As a Senior Data Scientist in the Global Finance Data and Analytics function, you will play a pivotal role in shaping the future of finance analytics, driving the design and delivery of advanced capabilities across Companion Animal Group (CAG) Finance. The position will be central to building and scaling the Finance Datamart and Finance Analytics Hub, while defining the technical and analytical standards for global finance reporting. Working in close partnership with Corporate Accounts and cross-regional finance teams, this role will modernize legacy reporting into automated, self-service solutions and develop predictive models that inform commercial and strategic decision-making. The ideal candidate brings proven experience working with large, complex data sets in enterprise data warehouse environments, with a demonstrated ability to optimize Snowflake (or equivalent) databases for performance, scalability, and end-user experience. They combine deep expertise in SQL and Tableau with the ability to mentor analysts, shape analytics initiatives, and influence senior stakeholders to adopt data-driven insights. This position is hybrid with a minimum of 2 days on site at the Global Campus in Westbrook, ME. What You Will Be Doing: You will design, develop, and scale datasets, dashboards, KPIs, and advanced analytical models to support strategic and operational decision-making across global finance. You will serve as a subject matter expert and thought partner for the Finance Datamart and Finance Analytics Hub, ensuring alignment with business priorities and analytics best practices. You will develop and deploy models to anticipate business performance, evaluate commercial initiatives, and quantify drivers of growth. You will define and champion data visualization standards, ensuring dashboards and reporting are consistent, executive-ready, and optimized for both operational and strategic users. You will partner with global finance and commercial leaders to identify high-impact analytics opportunities, scope requirements, and translate business problems into structured analytical approaches. You will investigate anomalies and diagnose root causes, recommending corrective actions to data owners and senior leadership. You will establish documentation and metadata standards, ensuring transparency, reproducibility, and consistency of analytical logic across teams. You will mentor and support analysts, building technical depth within the team and promoting a culture of continuous learning and collaboration. You will contribute to cross-functional projects by managing deliverables, shaping timelines, and ensuring high-quality outcomes. You will advocate for adoption of modern data tools, governance practices, and analytical methods across the function. What You Need To Succeed: 10+ years of professional experience in data science, advanced analytics, or BI roles, with a proven track record of delivering senior-level contributions. Expert-level SQL for large-scale data modelling, query optimization, and performance tuning in Snowflake; demonstrated ability to structure, build and optimize very large datasets and stage data for end-user consumption. Expert-level Tableau with strong design sensibility; able to define visualization standards and coach others. Strong understanding of financial concepts, business metrics, and the role of analytics in supporting commercial and operational decisions. Demonstrated success influencing senior stakeholders and framing complex business questions into clear analytical solutions. Knowledge of data governance, data quality management, and metadata standards; experience contributing to and maintaining business glossaries. Excellent communication skills; able to synthesize technical findings into clear, actionable recommendations for executive audiences. Proven ability to mentor and guide analysts, fostering growth in technical and business acumen. Organized, proactive, and impact-oriented, with the ability to prioritize across multiple initiatives in a fast-paced environment. Solid understanding of applied statistical methods (e.g., forecasting, regression, clustering, time series). Bachelor's degree required; Master's degree in Data Science, Statistics, or related field strongly preferred. Additional Desirable Experience: Experience integrating data across SAP, Salesforce, and other financial or commercial platforms. Hands-on experience with dbt or equivalent transformation frameworks. Familiarity with cloud analytics ecosystems (Snowpark, Databricks) and modern software development practices (Git, CI/CD). Proficiency in Python for automation, data wrangling, and applied analytics. Why IDEXX? We're proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people. So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. Let's pursue what matters together. IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. #LI-CB1

The primary purpose of this position is to serve as the data scientist with a split portfolio between the Atlantic City office and the Austin chemistry group. Essential Duties and Responsibilities: Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, machine learning, and/or data mining, as related to scientific data. Applies technical skills to plan and execute assigned project work including development of computational models, programming of detection algorithms, and machine learning. Maintains operational capabilities of computation assets as needed by project requirements. Leads meetings with company clients by preparing and presenting meeting materials in meetings. Appropriately annotates project developed computer code through comments and user manuals. Presents technical results through the drafting of technical reports. Presents experimental results and recommended actions at internal project meetings. Supports business development efforts as needed by drafting technical sections of proposals, providing proposal review, assessing levels of effort required to complete proposed work, and brainstorming technical solutions to client problems. Other duties as assigned. Required Knowledge, Skills & Abilities: Ability to plan sequence of experiments to answer complicated technical questions Ability to lead group of co-workers in execution of a task Software programming proficiency with Java, C, R, Python, and/or MATLAB Working knowledge of statistics as it applies to scientific data Ability to communicate technical information to non-technical audiences Team player with a positive attitude Department of Homeland Security Suitability Department of Defense Secret Clearance Working knowledge of software development practices including Agile development and Git version control Sufficient business knowledge to support proposal efforts Education/Experience: Incumbent professional should have a Ph.D. or master's degree in a physical science (preferably chemistry), statistics, or data science and significant experience in computer programming, computational modeling, or software development. Certificates and Licenses: None Clearance: The ability to obtain a Secret clearance and Department of Homeland Security suitability is required for this position. Supervisory Responsibilities: The incumbent professional may oversee junior level staff members performing tasks. Working Conditions/ Equipment: The incumbent professional is expected to work and/or be available during regular business hours. He/she should also generally be available via e-mail or phone during non-business hours as needed to address critical issues or emergencies. He/she may be required to travel on behalf of the company up to 25%. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor. Powered by ExactHire:160573