Clinical Statistical Programmer jobs at Seagen - 226 jobs

Axogen is committed to building and maintaining a strong and gratifying company culture that fosters professional growth. Our hands-on and personal approach makes transitioning to a new job a seamless and enjoyable process. Most benefits are effective on day one! Axogen is an equal opportunity employer and does not discriminate against applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or veteran status. Why you'll love working at Axogen: Friendly, open, and fun team culture that values unique perspectives Company-wide dedication to profoundly impacting patients' lives Comprehensive, high-quality benefits package effective on date of hire Educational assistance available for all employees Matching 401(k) retirement plan Paid holidays, including floating holidays, to be used at your discretion Employee Stock Purchase Plan Referral incentive program Axogen Mission and Business Purpose Our business purpose is to restore health and improve quality of life by making restoration of peripheral nerve function an expected standard of care. We aim to lead the markets we serve by always requiring the solutions we offer patients and caregivers provide an improved benefit-to-risk profile as compared to existing standards of care. To ensure we deliver improved benefit-to-risk solutions, we will guide and expect the market and design requirement specifications underlying our engineering, business development, and clinical research activities, objectively target advancements in standards of care. Job Summary of the Biostatistician The Biostatistician is responsible for the design and conduct of clinical research studies including developing statistical analysis plans, performing basic and complex statistical analysis, interpretation and reporting of study results and other required activities as needed. Responsibilities include providing data analysis input to meet project objectives, contributing to statistical analysis sections of IRB and grant applications, developing and executing statistical programs to perform analyses and prepare data displays, drafting analysis and results sections for clinical study reports and scientific papers, and supporting general publication of study findings. Requirements of the Biostatistician A Ph.D. degree or equivalent in statistical science, mathematical analysis or related field plus 5 years' relevant experience or a master's degree plus 8 years' relevant experience with demonstrated ability and sustained performance at the Ph.D. level. Minimum 5 years of experience working in the biologic/biotechnology, pharmaceutical, and/or medical device industry Demonstrated success in delivering on goals and being part of fast-moving, collaborative team Broad regulatory understanding of functions and processes involved in pharmaceutical, biologic, and/or medical device product development Must demonstrate strong interpersonal, written, and oral communication skills across various levels of management and demonstrate the ability to manage differences and needs between multiple stakeholders Responsibilities of the Biostatistician The specific duties of the Biostatistician include but are not limited to: Leadership and Project Management: Lead efforts in resolving day to day work related issues and problems, securing quality, improving efficiency and productivity of statistical and programming operations. Apply project management skills, statistical and programming techniques, and achieve quality and on time delivery of deliverables. Coordinate activities with project/program overall management personnel to achieve program objectives. Under supervision may represent the company to interact with regulatory agencies regarding matters relating to the statistical areas of the responsible projects/programs. Statistical Planning and Methodologies: Provide strong statistical expertise for design, analysis and reporting of clinical trials and research projects. Write statistical sections of study protocols, perform sample size calculation, develop randomization specifications, and generate randomization codes. Write Statistical Analysis Plans (SAPs) and properly address quality control (QC) review comments. Create and maintain Statistical and Programming QC and QA Plans for assigned projects or programs. Provide input to unblinded data management plan when required. Participate or lead research and development of statistical methodologies and processes. Lead efforts in planning, researching and designing statistical methods and approaches in solving complex trial data analysis and operational issues. Statistical Programming: Develop and/or review ADaM and/or SDTM dataset specifications. Lead efforts in resolving complex data derivation and data handling issues. Perform statistical programming to either build analysis datasets and generate statistical tables, listings and graphs (TLGs) or perform QC validation of these datasets and TLGs. Lead statistical dry runs and final run by actively participating or contributing to project and resources management, addressing statistical and programming questions and interacting with data management to follow up and resolve data issues. Review and provide input to Data Standards Review comments to ensure quality of documents. Perform QC programmatic checks on core study results as well as overall quality/consistency review of statistical TLGs. Statistical Analysis and Reporting, Publication Support: Perform complex statistical modeling and analyses, implement new statistical analysis methods and strategies. Perform statistical analysis as per SAP, and address peer/QC review comments and findings. Perform statistical validation of core results, address additional QC validation comments and findings on the core results. Plan and conduct or contribute to the trial results reporting. Contribute to the contents describing any deviation from the planned analysis and deviation from study conduct for the Clinical Study Report (CSR). Review CSR to ensure accuracy, completeness and appropriateness of the interpretation of the statistical results. Write statistical report or statistical sections of the CSR, or perform peer review of the contents. Perform statistical analyses for publications, including but not limited to abstracts, manuscripts, presentations and posters. Supporting Clinical Data Collection and Cleaning: Provide statistical input to Case Report Forms (CRF) design and database/variable structure. Provide statistical input to non-CRF data collection and acquisition methods and approaches. Review Data Management Plan sections relating to critical data collection and cleaning. Provide statistical input to Data Validation Specification. Specify and/or program database quality acceptance checks, assess and report data quality issues, and follow through until resolution. Perform ongoing assessment and communication of data quality issues, including protocol deviations. Assist data management and trial management team in preparing for database lock. Perform other duties as directed by the Supervisor Location Remote OR 111 West Oak Ave., Tampa, FL 33602 #LI-AC1 #LI-REMOTE Benefits/Compensation This position is eligible for an annual bonus. Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 Paid Holidays + 3 Floating Holidays, Dependent Care Flexible Spending Accounts, Medical Flexible Spending Accounts, Tuition Reimbursement, Paid Parental Leave, Paid Caregiver Leave, Basic Life Insurance, Supplemental Life Insurance, Employee Stock Purchase Plan, and Disability Insurance, as described in more detail in summary plan descriptions. Salary Range$126,058-$157,572 USD Axogen follows healthcare system guidelines with respect to credentialing, vaccinations and other employment/compliance related requirements, as well as CDC guidance. Axogen reserves the right to amend its policies from time to time in its sole discretion.

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

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

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

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

United States - Remote Covetrus is looking for a Consumer Data Scientist to drive and support advanced analytics and applied data science that accelerates Covetrus' consumer-facing marketing, product experiences, and strategic business initiatives. As part of Covetrus, you will work with one of the largest in-clinic and online pet parent behavior datasets in the world. You will design, build, and operationalize models and analytical frameworks that improve new consumer acquisition, drive retention, influence product and brand preference, and enhance the experience of our consumer-facing products. You will partner closely with Marketing, Product, and Commercial leaders to translate ambiguous business questions into clear analytical problems, develop data-driven solutions, and communicate recommendations that shape strategy. You will contribute to a culture of collaboration, innovation, and continuous improvement as you provide insight into the business and drivers of consumer behavior, loyalty, and product preferences. ESSENTIAL DUTIES AND RESPONSIBILITIES Drive and support the development, validation, and deployment of predictive and machine learning models (e.g., propensity, churn, LTV, recommendations, next best action, marketing response) that support data-driven marketing and business decisions for the Prescription Management and other consumer businesses. Design and analyze experiments (A/B and multivariate tests) and apply causal inference methods to measure the impact of marketing, pricing, and product changes on key consumer outcomes. Identify, scope, and prioritize high-impact data science opportunities that shape consumer experience, drive adoption, increase loyalty, influence brand preference, and deepen consumer engagement. Maintain a deep understanding of consumer behavior, competitive trends, and business drivers; proactively surface insights and hypotheses that inform strategy and roadmap decisions. Analyze key trends and build robust statistical and machine learning models to predict consumer behavior using strong statistical rigor and best practices. Establish scalable, efficient, and automated processes for large-scale data preparation, model training, scoring, and monitoring in partnership with Data Engineering and Analytics teams. Partner with teams across the prescription management and broader consumer business to design, develop, and maintain forecasts, analytical tools, and dashboards that highlight key business drivers and model outputs. Translate complex analytical findings into clear, compelling stories and recommendations tailored to non-technical stakeholders, driving alignment and action. Contribute to data science standards, best practices, and documentation, and mentor team members in advanced analytics and modeling techniques. Collaborate across the organization to solve critical business challenges and support overall business strategy. QUALIFICATIONS: EDUCATION and/or EXPERIENCE Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field required. Advanced degree (Master's or PhD) in a quantitative discipline a plus. 3+ years of experience in applied data science, machine learning, or advanced analytics in a consumer, digital, or eCommerce environment. Demonstrated experience supporting end-to-end modeling projects-from problem framing and data preparation through model development, validation, deployment, and performance monitoring. COMPETENCIES (Skills and Abilities) Proven experience in predictive modeling and machine learning, including techniques such as regression, regularization, tree-based methods (e.g., random forest, gradient boosting), classification, clustering/segmentation, time-series forecasting, and/or uplift modeling. Proficiency in SQL and working with large-scale, complex datasets in modern data warehouses; experience with Snowflake is preferred. Strong programming skills in Python and/or R for data science. Experience designing and building data pipelines or automated analytical workflows and reporting tools in partnership with data engineering or BI teams. Demonstrated track record of delivering actionable predictive insight that drives measurable business impact in a consumer or eCommerce context. Strong analytical and quantitative skills, including the ability to use customer research, experimentation, and performance data to optimize marketing and product decisions. Experience designing, executing, and analyzing experiments (A/B tests) and/or using causal inference techniques to estimate incremental impact. Proven ability to convey key insights from complex analyses in clear, concise business terms, including building compelling presentations and data visualizations (experience with BI tools such as Tableau or Power BI is a plus). Understanding of how pricing, promotion, and brand impressions influence consumer loyalty, brand preference, and lifetime value, and ability to synthesize insights that inform marketing and product strategy. Strong skills in Excel and comfort working with relational databases and cloud-based data ecosystems. Understanding of the online marketing ecosystem and channels (e.g., direct, social media, display, affiliate, email, SEM, SEO), customer segmentation, and CRM/database marketing methods is a plus. Hands-on experience using machine learning and AI for analytics and decisioning is required; experience with modern ML/AI tooling (e.g., model orchestration, feature stores, experimentation platforms) is a plus. Aptitude and interest in learning new technologies, methods, and tools, and in staying current with the evolving data science and marketing analytics landscape. Strong collaboration and stakeholder management skills, with the ability to build trusted partnerships across Marketing, Product, Commercial, and Technology teams. We offer the following benefits for you to take advantage of while you are here provided you meet the eligibility requirements under each governing program: 401k savings & company match Paid time off Paid holidays Maternity leave Parental leave Military leave Other leaves of absence Health, dental, and vision benefits Health savings accounts Flexible spending accounts Life & disability benefits Identity theft protection Pet insurance Certain positions may include eligibility for a short-term incentive plan Salary may vary depending on factors such as confirmed job-related skills, experience, and location. It is not typical for an individual to be hired at or near the top end of the range for their role. Compensation decisions are dependent upon the facts and circumstances of each case. Sales Positions are eligible for a Variable Incentive. The pay range for this position is as follows: $78,600-$112,300 Covetrus is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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

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

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

Our client requires an intermediate level Data Scientist on a permanent / full time basis with ability to work Hybrid Monday to Friday in Houston, TX. As the ideal candidate, you will be responsible for the following: Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and Senior Executives) Qualifications: BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience. Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams. Understanding of statistical concepts and experience in applying them. Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.) Experience in data analyses using SQL. Experience in at least one programming language (preferably Python). Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Nice to haves: Domain experience in product, marketing, growth, and/or other business analytics areas. If this opportunity speaks to you than don't delay, apply today!

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

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

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

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

The Leidos Digital Modernization Sector is seeking an experienced Lead Observability Data Scientist which allows for full time telework from any U.S. based location. Leidos is seeking a Lead Observability Data Scientist to join the Enterprise Observability Team within the Chief Data & Analytics Office (CDAO), part of CIO Services. This is a remote, hands-on, individual contributor role focused on applying advanced analytics, machine learning, generative AI and agentic AI to one of our largest and most business-critical data assets comprised within enterprise observability telemetry. You will work across logs, metrics, traces, events, and platform signals to uncover patterns, predict performance and reliability risks, prescribe solutions, and accelerate our roadmap for Agentic AI-enabled observability. You'll collaborate closely with observability platform engineers, operations teams, and product/business stakeholders to turn complex telemetry into clear and actionable insights. In this role, you will design and implement advanced analytical approaches to improve detection, prediction, prescription, correlation, and decision-making across the enterprise. You'll work directly with observability tooling such as Splunk, Datadog, Cribl, SolarWinds, and Langfuse, and you'll build models and analytics that scale to high-volume, high-variety telemetry data. This position is ideal for someone who has delivered large-scale predictive analytics in observability/AIOps environments, enjoys deep technical execution, and can connect “machine signals” to operational and business impact. PRIMARY RESPONSIBILITIES: Predictive AIOps & Risk Sensing: Build and operationalize models for anomaly detection, forecasting, early incident warning, performance regression detection, saturation/capacity risk, and service health scoring. Cross-Signal Correlation: Correlate logs/metrics/traces/events with topology, deployment, change, and business signals to identify drivers of degradation and reduce time-to-diagnosis. Agentic AI Observability (Hands-On): Prototype and advance agentic workflows that assist with triage, signal enrichment, event clustering, summarization, and guided next-best-action recommendations. Tool-Integrated Analytics: Use and extend enterprise observability platforms (Splunk, Datadog, Cribl, SolarWinds, Langfuse) to extract signals, engineer features, validate hypotheses, and operationalize outcomes. Data Engineering for Analytics: Define data quality checks, feature pipelines, and scalable methods for working with high-volume telemetry (batch and/or streaming), partnering with platform teams as needed. Model Evaluation & Operationalization: Establish model performance measures aligned to operational goals (noise reduction, precision/recall of detections, lead time to failure, MTTR improvements); monitor drift and iterate. Outcome-Focused Communication: Communicate findings to technical and non-technical stakeholders with clear recommendations, tradeoffs, and measurable results. Responsible AI & Governance Alignment: Ensure solutions align with Leidos standards for security, privacy, governance, and responsible AI practices. BASIC QUALIFICATIONS: Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field with 12+ years relevant experience (additional experience may be considered in lieu of degree). Demonstrated large-scale observability analytics/AIOps experience working with high-volume telemetry (logs, metrics, traces, events) in complex enterprise environments. Strong programming skills in Python and experience with ML/data science libraries (e.g., pandas, NumPy, scikit-learn; deep learning frameworks a plus). Proven delivery of predictive analytics solutions such as time-series forecasting, anomaly detection, clustering, classification, and statistical modeling. Ability to move from ambiguous problem statements to working analytics in production-like environments. Excellent written and verbal communication skills; ability to translate analytical output into operational and business impact. PREDERRED QUALIFICATIONS: Hands-on experience with Splunk, Datadog, Cribl, SolarWinds, and/or observability evaluation tools such as Langfuse. Experience with distributed tracing and OpenTelemetry concepts; familiarity with SRE/incident management practices (SLIs/SLOs, on-call operational models). Experience applying Generative AI in operational contexts (e.g., RAG over incidents/runbooks, automated summarization, intelligent correlation/triage). Experience with streaming and large-scale data platforms (e.g., Kafka, Spark) and cloud services (AWS/Azure/GCP). Familiarity with MLOps patterns packaging/deploying models, monitoring, retraining triggers, and reproducible experimentation. Why Leidos / Why CDAO Enterprise Observability? CDAO's Enterprise Observability Team is building capability that directly improves reliability, performance, and business outcomes at enterprise scale. If you want to apply advanced ML and AI to real-world telemetry, and help shape Agentic AI observability, this is a high-impact role with significant technical ownership. At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what's next?” before the dust settles on “what's now.” If you're already scheming step 20 while everyone else is still debating step 2… good. You'll fit right in. Original Posting:January 8, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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 key contributor within Target RWE's Quantitative Sciences (QS) organization. You will help ensure that Target's data are reliable, well-understood, and ready for scientific and regulatory use. You will work with cross-functional teams to support high-quality analyses, contribute to data validation and curation processes, and help build scalable analytic workflows that enable efficient and reproducible real-world evidence (RWE) generation. Working closely with partners across Product, Engineering, Clinical Operations, Medical Science, and Commercial teams, you will support the design and execution of analyses that demonstrate the value of Target's data, inform research questions, and contribute to scientific and client-facing deliverables. What You'll Do 1. Data Quality and Stewardship Help ensure Target's data are accurate, complete, and ready for analysis. Contribute to data validation, quality checks, and “fitness-for-use” assessments. Develop growing expertise in Target's data structure, provenance, strengths, and limitations. Support the creation and upkeep of data documentation, dictionaries, and metadata. Assist in developing scalable processes that promote trust, transparency, and reproducibility. 2. Analytical Excellence Support rigorous, reproducible real-world evidence generation. Assist in the design and execution of retrospective and prospective analyses using Target RWE datasets. Write analytic code for descriptive, comparative, and predictive analyses under the guidance of senior scientists. Contribute to scalable and reusable analytic workflows and code structures. Apply best practices in coding, version control, methodology selection, and documentation. Help transform analytic findings into clear visualizations, summaries, and insights. Support the development of publications, abstracts, and scientific presentations. 3. Cross-Functional Collaboration Work closely with internal teams to translate data into scientific and strategic value. Collaborate with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams to align on data strategy and analytic priorities. Participate in internal discussions and occasional client meetings to support data interpretation and analytic understanding. Share insights about Target's data assets to help inform decision-making, product development, and customer-facing materials. What You'll Bring Master's degree in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience). 3-5 years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data). Strong programming skills in R and familiarity with reproducible analytic workflows. Experience with data cleaning, validation, quality checks, or curation processes. Demonstrated ability to write clear, maintainable, well-documented code. Strong analytical, problem-solving, and conceptual thinking skills. Excellent communication and collaboration skills with technical and scientific partners. Ability to translate analytic outputs into clear, actionable insights. 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

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

What You'll Do: The Senior Statistical Programmer generates tables, listings and graphs to support statistical analyses of data for clinical studies, regulatory submissions and publications. This position requires a good understanding and ability to provide datasets using current industry standards including Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM). Review key study documents produced by other functions (protocols, statistical analysis plans [SAPs], TFL shells, case report forms) and interact with Statisticians and other clinical team members to ensure programming requirements are understood. Follow SAPs, develop specifications and execute derivation algorithms for analysis dataset production. Follow the SDTM and ADaM Implementation Guide to develop specifications, create programs to produce CDISC-compliant SDTM and ADaM datasets and define.xml files. Generate tables, figures, and listings, (TFLs) in accordance with the SAP and TFL shells to support analyses using Base SAS, SAS Macro, SAS/STAT, SAS/GRAPH, or other statistical graphics technology. Create and maintain integrated analysis datasets including closed and ongoing studies. Validate SAS programs, macros, datasets, and TFL output generated by other Programmers. Develop or assist in the development of departmental processes and procedures. Other duties as assigned. How You'll Get There: Experience working in Pharmaceutical/ Biotechnology/CRO industry as a Statistical Programmer is required (>= 3 years with MS degree; >=5 years with BS degree). High proficiency in SAS programming and Macro development Experience working with CDISC SDTM and ADaM compliant data sets Experience with regulatory submissions and creating Define.XML. Knowledge of statistics and the drug development process In-depth knowledge of FDA/ICH guidelines and industry/technology standard practices Knowledge of statistical terminology, clinical tests, medical terminology, and protocol designs Capable of critical thinking and independently identifying issues in existing programs Solid verbal and written communication skills Bachelor's /Master's Degree in Statistics, Mathematics, Computer Science, or other related discipline is required; Master's degree is preferred

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine We are searching for the best talent for Data Scientist Purpose: As a Data Scientist in Global Finance Data Science Team: You will be contributing to a high standard delivery of data science driven predictive financial statements - consumed by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance the Data Science and AI roadmap for J&J's Global Finance function. You will assist in delivering value-added insights and analytics to our finance and business leaders, reduce manual work through automated reasoning, and enhance user-experience. You will be responsible for: You will mainly focus on advancing and broadening the capabilities of our Predictive Financial Statements, plugging results into SAP Analytics Cloud reporting - where most stakeholders go for corporate internal financial statements. Your job will also include aligning finance and business needs, validation of data from different source systems, and data reconciliation. You will mainly be required to create new models and leverage or extend the use of existing models for other financial statements. You will also enhance existing models for accuracy, speed and cost. You will be involved in data science projects across their lifecycle, from design to production and adoption by end users. This will include creating proof-of-concepts for new project, data science model development, data pipeline development and production deployment. The capabilities developed will include forecasting, descriptive analytics, data visualization, GenAI and decision support. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Adopting a highly successful forecasting processes and technologies and delivering predictive financial statements monthly. Modeling the impact of future events to enhance forecast accuracy. Developing data pipelines for large datasets sourced from financial systems and automating data science processes. Documenting and aligning model changes within the team and stakeholders. Communicating insights to stakeholders leveraging data visualization tools. Monitoring model performance, and continuously improving existing models. Collaborating with finance, commercial leaders, technology teams, and external partners to deliver end-to-end solutions, ensuring compliance and risk management. Advocating for data-driven insights and data science methods across the organization and managing compliance adherence. Qualifications / Requirements: Minimum of 2 years of Data Science/ AI experience in an industry setting is required, preferably in a Finance or Healthcare setting. Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Technical Requirements Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS and Databricks or Domino. Experienced using finance data and SAP HANA data tables is a plus. Proficient in interpreting data sources and correlating to financial metrics. Able to work independently and under time pressure to deliver results, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Strong data analytics skills and attention to detail. Other: The position will be located in New Brunswick, NJ and may require up to 10% travel. Johnson & Johnson is 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via *******************/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JNJDataScience Required Skills: Artificial Intelligence (AI), Python (Programming Language) Preferred Skills: Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Coaching, Collaborating, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : The anticipated base pay range for this position is $89,000 to $143,750 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************