Data Scientist jobs at Leidos

Shape the Future of Predictive Medicine. One-Year Project. Innovators Wanted! Are you driven by curiosity, energized by ambiguity, and passionate about transforming healthcare? Dr. Ciara Freeman at the esteemed Moffitt Cancer Center is searching for a bold, entrepreneurial-minded Applied Data Scientist - Regulatory and Statistical for a dynamic, one-year project to help build the first regulatory-grade AI models that predict therapy response in multiple myeloma. You'll partner with a physician-scientist PI and data-engineering team to prototype, validate, and document predictive models designed for clinical use. This is hands-on translational ML - fast iteration, real impact, auditable results. Your models will form the core of clinically actionable, auditable AI systems that change how we treat cancer. Ideal Candidate: Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow). Skilled in survival or clinical modeling; thrive where rigor meets speed. Startup thinkers with a thirst for discovery Individuals who thrive in fast-paced, risk-friendly environments Problem solvers who see challenges as opportunities Team players eager to see their ideas put into action Responsibilities: Develop and validate multimodal survival and risk-stratification models (clinical + omics + imaging). Collaborate with engineers to define and extract features. Perform calibration, bias analysis, and explainability (SHAP, PDPs, model cards). Translate results into clinician-friendly insights and contribute to IP and regulatory filings. Credentials & Qualifications: Master's degree in Computer Science, Data Science, Biostatistics, or a related quantitative field with seven (7) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Or PhD with five (5) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Familiarity with Snowflake or modern data-engineering workflows preferred. Join a project that's not just about data - it's about revolutionizing patient care. Help us bridge the gap between today's personalized medicine and tomorrow's predictive breakthroughs. If you're ready to take risks, drive results, and change the future of medicine, apply today! Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.

Heartland Companies, founded in 1997, offers personable, reliable, and flexible services to clients. The company also oversees several other internal brands, including Heartland Barge, Heartland Fabrication, and Heartland Commercial Real Estate, each providing unique services. Heartland Barge focuses on barge management and marine consulting, while Heartland Fabrication specializes in barge construction and Heartland Commercial Real Estate. GENERAL PURPOSE OF JOB The Financial/Data Analyst position reports to the Senior Analyst and works collaboratively with company C-Suites, Vice Presidents, and other employees of the Heartland Companies. The position is responsible for collecting, analyzing and summarizing relevant financial data for senior management in order for them to be able to make effective and profitable decisions. This position will be involved with all phases of data analytics, financial analysis, and the portfolio management process. Additionally, this position is also responsible for gathering, maintaining, organizing and summarizing relevant financial data, financial statements for existing portfolio business and investments. JOB CLASSIFICATION This is an exempt position. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Work with internal and external stakeholders to understand value drivers and data requirements from the business and end users perspective Produce and maintain various financial models and management reports as needed. Provide status of financial condition by collecting, interpreting, and reporting financial data. Assist with various administrative and supervisory functions as directed. Prepare special reports by collecting, analyzing, and summarizing information and trends. Protect operations by keeping financial information and plans confidential. Prepare reports that summarize and forecast company business activity and financial position in areas of income, expenses, earnings, and financial ratios based on past, present, and expected operations. Support business initiatives through data analysis. Perform detailed analysis on multiple projects, recommend potential business solutions, and ensure successful implementations. Identify ways to enhance performance management and operational reports related to new business implementation processes. Develop, share, and incorporate organizational best practices into business applications. Serve as the subject matter expert on the assigned function product to ensure operational performance. Maintain professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies. Travel as required to meet, form and maintain relationships with Heartland's senior management, prospective partners/investors, banks, and other select business relationships. Basic Qualifications · Bachelor's degree in Finance, Accounting, Business Administration, or a related field · Minimum 3 years' experience in financial and/or data analysis activities · Advanced Excel skills required Preferred Skills/Experience · Experience with operating and extracting data from ERP systems · Experience with AI tools / applications · Strong work ethic with well-developed interpersonal skills · Strong verbal and written communication skills · Strategic thinker and proficient in decision making · Ability to work collaboratively with senior management · Experience in managing multiple initiatives with limited supervision · Ability to self-manage to meet strict deadlines · Strong understanding of financial metrics, measures, and theory · Advanced certifications or degrees strongly preferred

About The Team Sparrow is a consumer lending startup born with a mission to empower the underserved and overlooked. We have designed a revolutionary credit card, meticulously crafted to help guide our customers on a journey to financial freedom. The Engineering team designs, builds, and maintains scalable data infrastructure, pipelines, lakehouse systems, and reporting tools that drive data-informed decision-making. We manage the full data lifecycle-from ingestion to transformation and delivery-leveraging modern technologies to deliver reliable, high-quality solutions that support Sparrow's rapid growth. About The Role We are seeking a motivated entry-level Data Engineer to join our team and help build reliable, scalable data infrastructure and pipelines. In this role, you'll support the delivery of data-driven insights by working closely with senior engineers and cross-functional teams. This position is ideal for someone early in their career who is eager to learn and grow while contributing to impactful data systems. This person will report to a Principal Data Engineer. In This Role, You Will: Assist in designing, building, and maintaining scalable data pipelines to extract, transform, and load data from various sources such as relational databases, REST APIs, and event streams, using AWS and open-source tools. Contribute to implementing data quality checks, governance practices, and security controls to ensure data integrity. Learn and apply modern data engineering technologies to support scalable and reliable data solutions. Collaborate with senior engineers to optimize data storage and processing for performance and cost-efficiency. Work closely with data scientists and analysts to support data modeling, reporting, and analytics needs. Stay up to date with emerging tools and practices in data engineering, and contribute ideas to improve the data infrastructure. Participate in a fast-paced startup environment, taking on a range of projects and responsibilities beyond core data engineering as needed. Qualifications: Bachelor's or master's degree in computer science, engineering, or a related field. 0-2 years of experience in data engineering or relevant internship/project work. Must have strong knowledge of SQL and Python (or PySpark) for data transformation and analysis. Familiarity with AWS and data processing technologies through coursework or hands-on experience. Experience with version control systems (e.g., Git) and agile development workflows. Understanding of data governance, privacy, and security concepts. Strong problem-solving skills and attention to detail. Strong Experience in: Familiarity with open-source data formats such as Delta Lake. Exposure to streaming technologies like Kafka (academic or project-based experience acceptable). Hands-on experience or strong familiarity with AWS services such as S3, Redshift, Glue, or EMR. Understanding of data modeling concepts and warehousing techniques to support analytics and data science workflows. Nice to Have: Exposure to deploying machine learning models or supporting ML pipelines. Familiarity with DevOps tools such as Docker and Kubernetes. Experience with data orchestration tools like Airflow, Mage, or similar. Interest or background in the credit card or consumer finance industry. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Compensation, Benefits, and Perks Medical, dental and vision coverage, with a 100% company-paid employee-only option Generous paid time off and 14 company holidays per year $50 per month Wellness Stipend - to use in any way that helps you thrive! Paid parental leave 401(k) Plan with 4% matching Stock options More About Sparrow At Sparrow, we believe that we can grant credit to the underserved and overlooked better than any company that exists today. We believe that we can have a significant impact on society by reducing the financial burden of having less than perfect credit. And we believe in fostering a workplace culture that embodies purpose, community, freedom, and transparency. At Sparrow, we know we are only as great as the people we hire, and without them we will never achieve our collective aspirations. Come join us!

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

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 ********************

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: $81,400.00 - $130,200.00 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 ********************

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

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

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. _Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases._ _We_ _strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals._ **PRIMARY DUTIES AND RESPONSIBILITIES:** + Meet and consult with scientists requiring data science support and design plans and solutions + Delivery of results for projects + Work as part of the broader team to identify longer-term solutions that will improve quality, + speed and efficacy of our current projects and programs + Evaluate and benchmark new libraries; prototype and pipeline development. + Deep data science skills, at the interface between computer science and statistics **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Excellent communication and effective problem-solving skills, track record in serving a variety of + Diverse customers and projects + Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. + Natural language processing experience preferred + Shiny, Spyre, Flask, WebDev and prototyping experience preferred + JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred + Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. + Significant scientific background with prior experience in clinical research **MINIMUM JOB QUALIFICATIONS:** + PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment + 5 to 8 years of experience post PhD + Prior experience supervising at least 1 person preferred **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $133,700 - $138,000 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities PRIMARY DUTIES AND RESPONSIBILITIES: * Meet and consult with scientists requiring data science support and design plans and solutions * Delivery of results for projects * Work as part of the broader team to identify longer-term solutions that will improve quality, * speed and efficacy of our current projects and programs * Evaluate and benchmark new libraries; prototype and pipeline development. * Deep data science skills, at the interface between computer science and statistics KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: * Excellent communication and effective problem-solving skills, track record in serving a variety of * Diverse customers and projects * Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. * Natural language processing experience preferred * Shiny, Spyre, Flask, WebDev and prototyping experience preferred * JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred * Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. * Significant scientific background with prior experience in clinical research Qualifications MINIMUM JOB QUALIFICATIONS: * PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment * 5 to 8 years of experience post PhD * Prior experience supervising at least 1 person preferred Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $133,700 - $138,000 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

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: Data Scientist for Medical Document Analysis (Solventum) 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. You Will Make an Impact By: 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 will help you succeed in the role: 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 Travel: 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 $119,076 - $145,537, 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. 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, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Provide statistical support for the development of measurement/re-measurement techniques, data analysis and reporting of quality improvement projects, surveys and HEDIS needs. Assist in the coordination of data activities for specific projects and assure compliance with established protocols and contractual requirements. Works under the general supervision of Supervisor or Manager. Support the organization's mission, vision, and values by exhibiting the following behaviors: Honesty, Excellence, Accountability, Respect and Teamwork. ESSENTIAL JOB FUNCTIONS: Act as lead analyst on assigned projects. Demonstrate knowledge and experience with all functions related to Data Scientist I. Develop and write suitable data sampling frames to meet project goals and objectives. Download/export data from large data sets/databases and generate SAS code to edit data for accuracy and completeness. Demonstrate understanding and appropriate use of commonly used concepts, practices, and procedures related to program evaluation. Manipulate data and conduct data analysis using SAS statistical package or geospatial software; transfer data into formats conducive to appropriate analyses. Interpret, summarize, and document results from statistical analyses Produce graphs, charts, and other visual representations of data. Prepare summary reports of analysis for presentation to internal and external clients. Present findings and demonstrate projects at local, state, and national conferences. Ensure projects follow AFMC and/or certified survey protocol in terms of abstract design, data collection, statistical analysis, and contractual requirements. Ensure project methodologies are written or updates as needed to accomplish project goals and objectives. Produce overall analysis plans with detailed specifications for analysis files, consistency checks, tables, and figures. Communicate effectively and collaborate with internal and external clients regarding statistical analysis issues and project development. Assist with data entry, data verification, verification of results and database maintenance as required or directed. Draft comprehensive reports containing statistical results and interpretations, adhering to format, content, and style guidelines, giving consideration to usability, and ensuring accuracy, consistency, and quality. Conduct workshops, seminars and staff training as needed. Follow AFMC, state and federal protocols regarding data confidentiality/security and HIPAA compliance. Additional duties as assigned. EXPERIENCE: : Three (3) years' experience in statistical analysis including writing SAS programs, data manipulation, model estimation and model evaluation. Three (3) years' experience in one of the following: SAS, REDCap, HEDIS, ArcGIS, or Administrative Claims. INTERNET REQUIREMENTS: Reliable, high-speed wireless internet service (Wi-Fi) KNOWLEDGE, SKILLS, AND ABILITIES: Intermediate skill level with MS Office (Word, Excel, Outlook, and PowerPoint). Type 40 wpm Advanced skill level with SAS. Ability to apply statistical and mathematical concepts. Possess a strong understanding of quantitative methods. Ability to maintain confidentiality. Strong oral and written communication skills. Creativity. Customer service. Ability to meet deadlines. Attention to detail. Flexibility. Ability to work collaboratively and independently to achieve stated goals. Initiative. Must be able to relate professionally and positively with staff, business partners, customers, constituents, recipients, and the public. Ability to multitask. Ability to prioritize. Strong organizational skills. Problem solving skills. Professionalism. Ability to read, interpret and apply laws, rules, and regulations. Time management skills. Medical terminology. Requirements Physical and Sensory Requirements (With or Without the Aid of Mechanical Devices): Mobility, reaching, bending, lifting, grasping, ability to read and write, ability to communicate with personnel, ability to remain calm under stress and ability to travel. Must be able to lift and transport 25 pounds. Must be capable of performing the essential functions of this job, with or without reasonable accommodations. EDUCATION: : Bachelor's degree in computer science, mathematics, statistics, or related field. Base SAS certification or equivalent certification. (1) Desirable: Masters in statistics or related field EXPERIENCE: : One (1) year experience in statistical analysis including writing SAS programs, data manipulation, model estimation and model evaluation INTERNET REQUIREMENTS: Reliable, high-speed wireless internet service (Wi-Fi) (1) Two (2) years SAS program, REDCap, or ArcGIS experience may be substituted for the Base SAS Certification. If experience is substituted it is in addition to stated requirements.

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

Data Scientist Position Type: Full-time (ON-SITE) Chantilly, VA Clearance Required: TS/SCI w/CI Poly Waypoint's client is seeking a highly motivated and skilled Data Scientist to join their team supporting a critical government client. This position offers the opportunity to support RDT&E for cutting-edge projects supporting space-based systems. Responsibilities Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments. Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models. Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis. Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools. Required Qualifications: Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field. 3+ years of experience in modeling and simulation for aerospace or space systems. Active Top Secret/SCI w/Poly Clearance Strong understanding of sensor phenomenology-such as optical, infrared, or radar systems-and associated modeling methods. Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial. Ability to communicate technical results clearly in both written and verbal formats. Preferred Qualifications: Master's degree in a STEM related field. 6+ years of related experience. Experience with other simulation tools and programming languages. Experience with non-cooperative target tracking. Experience with collection & revisit modeling. Knowledge of cloud computing platforms (e.g., AWS, Azure).

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

Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path-allowing patients to build trusting relationships with their medication brands. We're not only committed to taking the pain out of the prescription process, but we're also devoted to bringing the brightest minds together under one roof. We bring together diverse voices-engineers, pharmacists, customer service veterans, developers, program strategists and more-all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts. The Data Scientist I collaborates with senior data scientists and engineering teams to support data science projects. They develop machine learning models, statistical solutions, and data-driven insights using Python, SQL, and data visualization tools. They contribute to the design and implementation of ML and DL pipelines, perform statistical analysis, and continuously enhance their technical expertise. Responsibilities Essential Functions Conduct advanced data analysis and modeling to generate insights using statistical models, machine learning, and advanced analytics to support strategic decisions. Communicate with senior executives and stakeholders by translating complex data science concepts into actionable business insights. Lead the execution of high-impact data science initiatives and collaborate with cross-functional teams to ensure successful delivery. Mentor junior data scientists and analysts by promoting best practices in coding, model development, and analytical thinking. Identify emerging trends and opportunities and influence long-term business strategy through predictive modeling and experimentation. Qualifications Education • Master's or Ph.D. degree in Data Science, Computer Science, or a related field is preferred. Experience • One to three years of experience in data science, machine learning, or statistical modeling. Knowledge • Ability to support data-driven decision-making with structured insights. • Ability to collaborate with cross-functional teams to refine analytical solutions. • Ability to apply an understanding of the healthcare and patient support services industry to data-driven recommendations. Skills • Ability to write clean, efficient Python and SQL code and understand object-oriented programming. • Ability to apply basic to intermediate algorithms such as trees, queues, and graph algorithms for data structuring. • Ability to assist in designing and building ML and DL pipelines under the guidance of senior data scientists. • Ability to perform inferential statistics, hypothesis testing, and data modeling. • Ability to use AWS tools such as Lambda, Redshift, and RDS for data management. Competencies Analytical and Logical Reasoning Uses reasoning and critical thinking to identify root causes and work through problems. Analyzes information to determine the most probable cause, collects data to extract relevant information, and evaluates and integrates findings into solutions. Communication (Oral and Written) Listens actively and communicates key issues respectfully. Shares only relevant information and adapts communication to different audiences to ensure clarity. Decision Quality Makes appropriate, informed, and timely decisions while ensuring compliance with company policies and values. Uses analysis, knowledge, experience, and judgment to make effective decisions, even without complete information. Evaluates and prioritizes factors to reach sound solutions. Travel or Physical Requirements • No travel required unless requested. Compliance Requirements Adhere to all company policies, procedures, and training consistent with ConnectiveRx's Information Security and Compliance programs, including SOC1, SOC2, PCI, and HIPAA. Maintain strict compliance with company and client policies regarding business rules, ethics, and applicable local, state, and federal laws. Compensation & Benefits: This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities. Employees at ConnectiveRx can access comprehensive benefits, including medical, dental, vision, life, and disability insurance. The company regularly reviews and updates its health, welfare, and fringe benefit policies to ensure competitive offerings. Employees may also participate in the company's 401(k) plan, with employer contributions where applicable. Time-Off & Holidays: ConnectiveRx provides a flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations. PTO is determined based on an employee's first year of service. Employees also receive eight standard company holidays and three floating holidays annually, with prorations applied in the first year. The company remains committed to providing competitive benefits and reserves the right to modify employee offerings, including PTO, STO, and holiday policies, in accordance with applicable laws and regulations. Posted Salary Range USD $72,500.00 - USD $105,600.00 /Yr.