Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research. Organization: VICTR Job Summary: Data Scientist 2 – VICTR JOB SUMMARY In your pivotal role of Data Scientist 2, you will make big-data discoveries, build the resources necessary to enable those discoveries, and coordinate data-related activities of the project team(s). Work closely with research informatics faculty and staff to expand and create innovative big data resources to enable data-driven translational science. Identify appropriate resources needed and develop schedules to ensure timely completion of project(s). Find insights in data, as well as solve related medium to complex problems. BASIC QUALIFICIATIONS • Master’s Degree in mathematics or statistics (or equivalent experience) (Required) • 5 years of relevant experience (Required) • PhD with 3 years of relevant experience You will work Monday-Friday, traditional daytime business hours at our office on 2525 West End Ave. in Nashville, TN, though remote work may also be a consideration. About the Department: The Vanderbilt Institute for Clinical & Translational Research (VICTR) is Vanderbilt’s virtual home for clinical and translational research. Supported by Vanderbilt University Medical Center’s Office of Research and the NIH-sponsored Clinical and Translational Service Award (CTSA), the mission of the institute is to transform the way ideas and research discoveries make their way from origin to patient care. VICTR functions to help researchers and clinicians do their jobs better by providing tools and support to improve the quality of research, publications, grant writing, and training for future doctors and researchers. For more information, please visit https://victr.vumc.org/. . KEY RESPONSIBILITIES - Build a solid data foundation in order to perform robust analytics. - Participate in multidisciplinary teams to design, develop, and recommend new approaches for data-driven decision-making. - Guide and educate data science teams to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives. - Make strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices. - Build machine learning pipelines and personalized data products. - Advise leadership on implications of the data for products, processes and decisions. - Develop and implement reproducible cross-validation frameworks to evaluate machine learning and artificial intelligence models across heterogeneous datasets and computing environments TECHNICAL CAPABILITIES INFRASTRUCTURE (INTERMEDIATE) - Identify the data-analytics problems that offer the greatest opportunities. Determine the correct data sets and variables. Collect large sets of structured and unstructured data from disparate sources. Clean and validate the data to ensure accuracy, completeness, and uniformity. Devise and applies models and algorithms to mine the stores of big data. Analyze the data to identify patterns and trends. Interpret the data to discover solutions and opportunities. ANALYSIS AND TESTING (INTERMEDIATE) - Bring structure to large quantities of formless data and make analysis possible. Identify rich data sources, join them with other, potentially incomplete data sources, clean the resulting set and validate the data to ensure accuracy, completeness, and uniformity. Identify trends, correlations, and high-level characteristics to detect key insights and make predictions. Find a story within a data set and provide a coherent narrative about key data insights. DATA PRODUCTS (INTERMEDIATE) - Use machine learning and artificial intelligence to turn massive data streams produced by operations into insights. Use programming languages such as Python, R, SQL, and Jupyter for statistics, mathematics, algorithms, modeling, data visualization, and reproducible research and reporting. Use cloud computing, cloud-based services and APIs for data storage and access, machine learning, and artificial intelligence (AI). COMMUNICATION (NOVICE) - Deliver data to internal and external customers in the form of dashboards, reports, and emails. Effectively communicate technical and business ideas and information to others, including non-technical audiences in writing, with numbers, verbally and/or visually. Share knowledge, ideas and information openly, and effectively sell new ideas and influence others. Our Academic Enterprise is one of the nation’s longest serving and most prestigious academic medical centers. Through its historic bond with Vanderbilt University and integral role in the School of Medicine, Vanderbilt Health cultivates distinguished research and educational programs to advance a clinical enterprise that provides compassionate and personalized care and support for millions of patients and family members each year. World-leading academic departments and comprehensive centers of excellence pursue scientific discoveries and transformational educational and clinical advances across the entire spectrum of health and disease. Aligning with Vanderbilt Health’s Strategic Directions, the Office of Research provides shared research resources, administrative expertise and professional guidance to enable the trans-disciplinary environment and highly collaborative culture that advances discovery and training for all the research faculty, trainees, students and staff. Core Accountabilities: Organizational Impact: Executes job responsibilities with the understanding of how output would affect and impact other areas related to own job area/team with occasional guidance. Problem Solving/ Complexity of work: Analyzes moderately complex problems using technical experience and judgment. Breadth of Knowledge: Has expanded knowledge gained through experience within a professional area. Team Interaction: Provides informal guidance and support to team members. Core Capabilities : Supporting Colleagues:- Develops Self and Others: Invests time, energy, and enthusiasm in developing self/others to help improve performance e and gain knowledge in new areas.- Builds and Maintains Relationships: Maintains regular contact with key colleagues and stakeholders using formal and informal opportunities to expand and strengthen relationships.- Communicates Effectively: Recognizes group interactions and modifies one's own communication style to suit different situations and audiences. Delivering Excellent Services:- Serves Others with Compassion: Seeks to understand current and future needs of relevant stakeholders and customizes services to better address them.- Solves Complex Problems: Approaches problems from different angles; Identifies new possibilities to interpret opportunities and develop concrete solutions.- Offers Meaningful Advice and Support: Provides ongoing support and coaching in a constructive manner to increase employees' effectiveness. Ensuring High Quality: - Performs Excellent Work: Engages regularly in formal and informal dialogue about quality; directly addresses quality issues promptly.- Ensures Continuous Improvement: Applies various learning experiences by looking beyond symptoms to uncover underlying causes of problems and identifies ways to resolve them. - Fulfills Safety and Regulatory Requirements: Understands all aspects of providing a safe environment and performs routine safety checks to prevent safety hazards from occurring. Managing Resources Effectively: - Demonstrates Accountability: Demonstrates a sense of ownership, focusing on and driving critical issues to closure.- Stewards Organizational Resources: Applies understanding of the departmental work to effectively manage resources for a department/area.- Makes Data Driven Decisions: Demonstrates strong understanding of the information or data to identify and elevate opportunities. Fostering Innovation:- Generates New Ideas: Proactively identifies new ideas/opportunities from multiple sources or methods to improve processes beyond conventional approaches.- Applies Technology: Demonstrates an enthusiasm for learning new technologies, tools, and procedures to address short-term challenges.- Adapts to Change: Views difficult situations and/or problems as opportunities for improvement; actively embraces change instead of emphasizing negative elements. Position Qualifications: Responsibilities: Certifications : Work Experience : Relevant Work Experience Experience Level : 5 years Education : Master's Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.

Who We Are & What We Do At Helix, our mission is simple: to help everyone improve their lives through their DNA. Ready to make a real-world impact with your skills? At Helix, we're transforming healthcare by making genomics a standard of care. We partner with health systems and life science companies to accelerate the integration of genomic data into clinical practice. Join us in building a future where healthcare is personalized, proactive, and powered by genomics. As a Senior Data Scientist, you will: - Analyze data to identify patterns and trends toward improving health and/or financial outcomes, e.g., disease prevalence, risk factors, treatment opportunities, and the effectiveness of health interventions - Develop a portfolio of reports and data insights that communicates the value and opportunity of Helix population health, diagnostic, and research data for life science companies - Develop reusable dashboards, analytical reports, datasets, and analytic integrations, by working with medical affairs, research, product, data science, and commercial teams where required - Evaluate market opportunities by creating and maintaining therapeutic area and service line-specific data models - Leverage real-world patient data spanning engagement, medical history, outcomes, social determinants, and genetics, partner with life sciences to provide focused and effective data-driven narratives - Collaborate across multiple teams including analytics, data engineering, medical affairs, clinical, research, business development, strategy, and product About you: - Master’s Degree or higher in Data Science, Biostatistics, Medical Informatics, Epidemiology, Public Health, or other related scientific discipline - At least 3 years of experience working with US healthcare data in health care plan/services, public health, RWE, research, or a related field - Direct experience using LLMs or agentic tools (Claude Code, Cline, Copilot, etc) in a research or clinical data workflow - Strong healthcare data experience with electronic health records and/or claims data - Experience with common clinical coding standards (ex: ICD, CPT, LOINC, SNOMED-CT) - Understanding of genetic data and knowledge of variant annotation tools and databases - Strong programming skills in Data Analysis and Visualization, SQL, Python, Databases - Strong analytical and problem-solving skills along with business acumen; desire to learn and grow in healthcare industry - Worked with real world data and have a strong understanding of analytics and how it is leveraged within the life sciences industry - Entrepreneurial spirit and willingness to jump into new areas - Knowledge of population health metrics - Excellent communication and storytelling skills with a variety of cross-functional stakeholders Pluses: - Experience working with the OMOP CDM - Experience working with large-scale genomic data - Experience using Airflow, Nextflow, or other workflow orchestration - Experience working in cloud environments - Experience analyzing RWE data at or with life sciences customers Expected Interview Process: 1) Recruiter Screen 2) Manager Screen/Tech Screen 3) Onsite 4) Offer Expected Pay For This Role: There are 3 distinct parts to your Helix offer: 1) Base Salary 2) Annual Bonus 3) Equity - Expected Helix Base: $139,000 - $186,250 - Expected Helix Discretionary Annual Bonus: 10% of your annual salary - Equity: We offer generous equity at Helix. If you receive a Helix offer your recruiter will book dedicated time with you to educate you on our equity model. Aside from working alongside brilliant, dedicated, passionate, down-to-earth, curious, warm, and thoughtful people, we also provide great benefits: - Comprehensive Health Insurance with Date of Hire eligibility - Above average employer paid premium coverage - 12 weeks Helix Paid Parental Leave option - 401(k) with employer matching of up to 3% and 100% Vesting on the Date of Hire - Comprehensive Well-Being Benefits - Flexible PTO - Remote options for many roles and a home office stipend What To Expect During Your First 90 days: - First 30 days: you’ll spend time learning the Helix way, completing training and onboarding for your roles, and getting introduced to your team and relevant stakeholders. You’ll also gain a deeper understanding of our customers, our products, the impact we make in the lives of our communities, and how to thrive at Helix through participation in Helix U. - Day 30 - 60: you’ll spend time contributing to projects, deeply familiarizing yourself with team and company processes, and developing a deeper understanding of Helix’s products, services and capabilities. - Day 60 - 90: you’ll build your OKRs with your manager, start to take ownership of projects and initiatives on your team, and begin to demonstrate your impact on the Helix mission. Helix is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. #LI-Remote

• Lead data science efforts, working closely with clients and data to understand mission and data • Develop, build, and implement new predictive, statistical, or AI/ML models • Prepare detailed documentation for models, outlining methodology, data sources, assumptions, limitations, and validation results • Clean, transform, and analyze large datasets to identify patterns, derive key risk drivers • Conduct testing, benchmarking, and sensitivity analyses to evaluate model performance • Evaluate, recommend, and execute new technologies and updates existing infrastructure for optimal performance and efficiency

• Develop innovative products based on foundation models and machine learning • Monitor the impact of data solutions, translating technical metrics into strategic insights for senior leadership • Serve as a consultative partner to stakeholders to identify opportunities, design new solutions, or optimize legacy products • Collaborate in multidisciplinary squads, integrating Product, Design, and Engineering perspectives to enable implementation of these solutions • Ensure continuous evolution and proactive maintenance of the existing product ecosystem