At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

We are seeking a Principal to join Target RWE’s Quantitative Sciences (QS) organization. In this role, you will help shape how we design, execute, and communicate real-world clinical studies using Target’s data.

This is a highly cross-functional and client-facing role. You will bring strong analytical and scientific expertise, paired with the ability to apply the right level of methodological rigor for the question at hand, balancing credibility, practicality, and clarity. You will work closely with internal teams and external partners to ensure analyses are scientifically sound, clearly communicated, and aligned with real-world use cases.

You will serve as a key representative of Target’s scientific capabilities, engaging directly with pharmaceutical and biotech partners, supporting client discussions, and helping translate complex analytical approaches into clear, actionable insights.

What You’ll Do

Applied Methodology and Study Design

You will ensure that Target’s analyses are scientifically rigorous, practical, and aligned with real-world use.

• Guide the design of observational studies using real-world data, including retrospective and prospective analyses
• Apply statistical and epidemiologic methods in a practical, fit-for-purpose way
• Develop and review study protocols and statistical analysis plans
• Ensure analyses are reproducible, interpretable, and aligned with regulatory and scientific expectations
• Partner with internal teams to translate research questions into practical analytic approaches

Client-Facing Scientific Leadership

You will serve as a key scientific voice in client and partner interactions.

• Participate in and lead client meetings to explain study design, methodology, and results
• Translate complex analytical concepts into clear, accessible language for diverse audiences
• Support business development efforts by helping communicate Target’s scientific approach and data value
• Represent Target in external settings, including conferences, scientific collaborations, and partner discussions
• Build trust with clients by providing thoughtful, pragmatic, and credible scientific guidance

Cross-Functional Collaboration

You will connect data, analytics, and business needs across the organization.

• Partner closely with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams
• Help shape analytic strategies that align with both scientific goals and customer needs
• Provide guidance to the Quantitative Sciences team on study design and interpretation
• Mentor team members on balancing methodological rigor with practical execution
• Contribute to internal best practices for scalable, high-quality evidence generation

What You’ll Bring

• PhD or MS in biostatistics, epidemiology, health economics, data science, or a related field
• 10+ years of experience working with real-world data (EMR, claims, registry, or clinical trial data)
• Strong foundation in observational study design and applied statistical methods; experience with real-world pragmatic clinical trial designs is a plus
• Demonstrated ability to apply methods pragmatically, selecting the right approach for the problem
• Willingness to engage directly with data and analyses as needed, with working knowledge of R and/or SQL to support exploratory work, validation, and collaboration with analytic teams
• Experience working directly with clients or external partners in life sciences or healthcare
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly
• Comfortable operating in client-facing settings, including meetings, presentations, and scientific discussions
• Strong collaboration skills across technical and non-technical teams

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

The Data Product Manager will drive forward the evolution of Target RWE’s research data products, spanning both existing retrospective datasets and the development of new, differentiated offerings. This role is central to building high-quality research datasets derived from EHR data across Target RWE’s network of clinical sites, as well as linked data sources such as claims.

The Product Manager will lead cross-functional initiatives, including the development of novel research variables and the implementation of AI-enabled data curation at scale. You will partner closely with quantitative sciences, engineering, clinical, and data curation teams to translate clinical and scientific needs into robust, customer-ready data products.

This role requires deep familiarity with healthcare data and EHR documentation patterns, strong clinical research acumen, and the ability to apply clinical insight to ambiguous data challenges. The Data Product Manager reports to the Head of Data Innovation and is a core member of the Product organization.

What You’ll Do

• Own and drive cross-functional workstreams to build, maintain, and evolve Target RWE’s research datasets.
• Maintain product roadmaps for clinical research datasets in hepatology and other disease areas, incorporating input from stakeholders.
• Oversee end-to-end preparation and delivery of research datasets to customers.
• Manage customer-facing documentation, including analytic guides, training materials, and dataset documentation.
• Ensure data product quality by maintaining and prioritizing a backlog of enhancements and leading cross-functional investigations and improvements.
• Assist in the development of new research variables, from conceptual design through implementation, incorporating feedback from clinical and scientific experts.
• Design and conduct exploratory analyses of EHR data to understand how variables of interest are captured in real-world clinical documentation.
• Partner with engineering to pilot AI-based curation approaches, evaluate performance, and drive iterative improvements.
• Develop abstractor guidance and specifications, in collaboration with clinical and data curation teams, to produce gold-standard datasets for AI model training.
• Interface with pharma customers to educate them on Target RWE’s data products, answer questions, and understand real-world usage and needs.

What You’ll Bring

• Deep experience working with healthcare data, including EHR data and other patient-level data sources such as claims.
• 5+ years of experience in healthcare data, real-world evidence, or clinical research.
• Strong ownership mindset with a track record of delivering high-quality, complex work.
• Comfort with clinical concepts and the ability to interpret real-world EHR documentation; enthusiasm for building domain expertise in relevant disease areas.
• Strong data intuition, including understanding data models, designing basic analyses, and interpreting results.
• Comfort operating in ambiguous, evolving problem spaces.
• Ability to shape initiatives from the ground up, provide structure, and clearly scope work for cross-functional teams.
• Proven ability to drive complex initiatives and serve as the “quarterback” in a collaborative, cross-functional environment.
• Excellent written and verbal communication skills, including direct experience working with external customers.
• Familiarity with healthcare data standards and terminologies (e.g., LOINC, RxNorm, SNOMED) preferred.
• Clinical background (e.g., RN, NP) strongly preferred.

If you are ready to be part of a team where your work truly matters - where your expertise isvalued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role: Located in Research Triangle Park, North Carolina

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

About the Role

The Staff Accountant is a key member of the Target RWE Finance team, reporting to the Head of Finance. This role owns the day-to-day execution of accounts payable, accounts receivable, cash reconciliation, and general accounting functions. The ideal candidate is detail-oriented, process-driven, and eager to contribute to a collaborative and growing finance organization.

What You'll Do

Accounts Payable

• Process and code vendor invoices accurately and in a timely manner within Bill.com
• Manage the full AP cycle from invoice receipt through payment execution
• Administer the employee expense reimbursement program using Concur Time and Expense, ensuring compliance with company policy
• Reconcile AP subledger to the general ledger on a monthly basis
• Maintain vendor records and support annual 1099 filing

Accounts Receivable

• Generate and issue client invoices in accordance with contract terms and project milestones
• Monitor AR aging and proactively follow up on outstanding balances
• Apply cash receipts and reconcile the AR subledger to the general ledger monthly
• Partner with project delivery teams to resolve billing discrepancies

Cash Reconciliation

• Perform daily and monthly bank reconciliations for all company accounts
• Investigate and resolve reconciling items in a timely manner

General Accounting Support

• Prepare and post monthly journal entries, including accruals and prepaid amortization
• Support the monthly and annual financial close process
• Assist with audit preparation and provide documentation as requested
• Maintain organized and audit-ready workpapers and account reconciliations
• Identify opportunities to improve accounting processes and system utilization
• Support ad hoc finance projects and reporting as assigned by the Head of Finance

Who You Are

• Bachelor’s degree in accounting, finance, or a related field
• 1-2 years hands-on accounting experience preferred, with demonstrated exposure to AP, AR, and general ledger functions
• Strong attention to detail and commitment to accuracy
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment
• Excellent communication skills and a collaborative, team-first approach
• Growth mindset with a willingness to learn new systems, processes, and responsibilities in a fast-evolving environment
• Comfort operating in a startup environment where priorities can shift and initiative is valued

Preferred

• Experience with Nexonia, Concur, Bill.com, and Sage Intacct
• Motivated self-starter who thrives with consistency and clear day-to-day expectations
• Experience in a professional work environment
• Familiarity with ASC 606 revenue recognition concepts

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid Part-Time (20-25 Hours): Located in Research Triangle Park, North Carolina

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

At Target RWE, our mission is driven by a deep commitment to people—whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science. 

We are seeking a talented Data Engineer to join our Technology team. In this role, you will develop, create, and modify computer application software and databases to drive operational efficiency and improve business processes. You will collaborate closely with stakeholders to analyze user needs, design custom software solutions, and implement scalable, reliable applications that support Target RWE’s mission.

What You’ll Do

• Design and implement data pipelines and software solutions that promote operational efficiency and scalability.
• Analyze business requirements and work with stakeholders to translate needs into technical solutions.
• Write clean, maintainable code primarily in Python, with a strong emphasis on SQL for data manipulation and transformation.
• Support and optimize cloud-based data infrastructure (AWS preferred).
• Develop and modify databases to support internal applications.
• Collaborate with operations and product teams to support deployment, testing, and maintenance.
• Help troubleshoot production issues and contribute to ongoing improvement efforts.
• Stay up to date on relevant tools, technologies, and best practices.

What You’ll Bring

• 3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
• Strong proficiency in SQL and Python.
• Experience with cloud platforms (AWS, GCP, or Azure) and working in cloud-native environments.
• Familiarity with version control and CI/CD tools (e.g., GitLab, GitHub Actions).
• Strong problem-solving and communication skills.
• Ability to work independently and manage tasks with moderate supervision.

Nice to Have 

• Experience working with or developing machine learning pipelines or models.
• Exposure to Generative AI or LLM frameworks (e.g., Langchain, LangGraph).
• Knowledge of distributed computing concepts or tools (e.g., Spark, Dask).
• Background in healthcare, life sciences, or clinical data.
• Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

Overview

• Seeking a Senior DevSecOps Engineer to secure internal infrastructure, cloud services, deployment tooling, and development workflows
• Lead design, implementation, and continuous improvement of secure, scalable production platforms
• Embed security across the full software development lifecycle (SDLC)
• Partner closely with engineering, infrastructure, and application teams

What You’ll Do

• Perform advanced vulnerability assessments across cloud, infrastructure, and application platforms
• Partner with application owners to prioritize and drive remediation efforts
• Design, implement, and optimize secure CI/CD pipelines and deployment tooling
• Integrate security into the SDLC (code scanning, secrets management, policy enforcement)
• Apply best practices for system hardening, configuration management, IAM, and least-privilege access
• Define and evolve security controls, standards, and guardrails across the organization
• Leverage modern cloud and DevOps technologies to build secure, scalable infrastructure
• Lead and support security incident response, including root cause analysis and long-term remediation
• Mentor engineers and promote a strong security-first culture
• Develop and maintain security documentation, runbooks, and internal knowledge sharing

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of experience in security engineering, DevSecOps, or infrastructure security
• Hands-on experience securing cloud platforms (AWS preferred) at scale
• Experience securing CI/CD pipelines and containerized environments (Docker, Kubernetes)
• Strong experience with Infrastructure as Code (Terraform, CloudFormation, Chef, Puppet, Ansible, or Salt)
• Solid networking fundamentals (VPCs, ACLs, subnets, DNS, routing, segmentation)
• Experience with Linux systems and relational databases (PostgreSQL)
• Proficiency in at least one scripting language and Git-based workflows
• Experience with security tooling (SAST, DAST, dependency scanning, secrets management)
• Strong collaboration skills in distributed teams
• Clear communication, ownership mindset, and strong problem-solving abilities
•  

Nice to Have

• Experience in regulated environments (healthcare, life sciences, or similar)
• Advanced networking and cloud security experience (firewalls, zero-trust architectures)
• Familiarity with CSPM tools (Wiz, Rapid7, or similar)
• Kubernetes security and runtime protection experience
• Experience with Jira and Confluence
• CISSP, AWS Security Specialty, or similar certifications

If you’re excited to help protect systems that support meaningful healthcare research, where your expertise directly contributes to trust, compliance, and patient impact, Target RWE is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role: Located in Research Triangle Park, North Carolina

Head of Statistics

Overview

NoviSci is a data science organization with a dual mission: 1) developing best-in-class software to support the generation of RWE and 2) executing high-impact, tech-enabled scientific consulting and research.

We are seeking a Head of Statistics who will own the statistical functional area- serving as the center of excellence for statistical rigor, methodology, methods standardization, and professional development across the organization. This is a hands-on leadership role for a methodologist who wants to build: building a team, building methods, and building the statistical backbone of real-world evidence software.

You will work shoulder-to-shoulder with the Head of Science, Product, Engineering, and Statistical Software Development, translating advanced causal inference and epidemiologic methods into robust software requirements, clear APIs, and scalable analytical tools. If you enjoy making hard statistical problems accessible, and care deeply about scientific credibility, this role is for you.

Statistical leadership & strategy

• In collaboration with the Head of Statistical Software Development, define and execute the statistical methods roadmap across products and services
• Serve as the functional center of excellence for statistical rigor, methods standardization, code reproducibility, and adoption of advanced causal inference and epidemiologic methods for real-world data
• Lead the development and implementation of causal inference, advanced epidemiologic, and statistical methods for real-world evidence generation, ensuring scientific rigor, transparency, and reproducibility
• Guide the design of longitudinal and observational study workflows, including uncertainty quantification and sensitivity analyses
• Represent NoviSci’s statistical perspective with external partners, clients, collaborators, and at scientific venues as a subject-matter expert

Product partnership (requirements, architecture, APIs)

• Collaborate with Product, Statistical Software Development, and Engineering to:
• Translate statistical and methodological needs into product requirements and roadmaps
• Advise on high-level system and architecture decisions
• Co-design API specifications (inputs/outputs, parameterization, defaults, error handling, diagnostics) and review PRDs/tech specs for statistical fidelity
• Provide reference implementations and simulation harnesses used as ground truth for verification; help design CI checks and validation datasets
• Establish documentation standards for methods notes, assumptions, and user-facing guidance

High-value scientific delivery

• Serve as a senior statistical contributor on select research pods, providing high-level expertise, validating analyses, and pioneering new methods
• Architect statistical designs for causal estimation of complex interventions under confounding, missingness, and dependent censoring
• Develop and review statistical analysis plans (SAPs), code, figures, and outputs for validity, reproducibility, and regulatory readiness
• Support quality and compliance processes in partnership with the Head of Operations, ensuring analysis validation, audit trails, and reproducibility standards are met

Thought partnership for clients

• Act as a senior statistical advisor to client teams (HEOR, Med Affairs, Epi); help mature their internal evidence pipelines and governance
• Evaluate statistical methodology choices for complex study designs, including distributed and federated analyses
• Guide clients on methods choices for regulatory submissions and HTA assessments

Team building & mentorship

• Serve as functional manager for all statisticians: hire, mentor, train, and conduct performance reviews
• Develop and enforce standards and SOPs for statistical analysis, code reproducibility, and methods adoption across the statistics group
• Foster a rigorous, supportive, and learning-oriented culture within the statistics functional group
• Uplevel engineers and PMs on statistical, advanced epidemiologic methods, including causal inference; uplevel statisticians on software craft (versioning, testing, CI/CD, profiling)

Required background

• PhD (or equivalent) in Biostatistics, Statistics, Epidemiology, or a related quantitative field
• 4+ years of post-doctoral experience spanning causal inference, advanced epidemiologic methods, statistical software development, and real-world data (claims, EHR, registries)
• Demonstrated track record of leading complex observational studies through publication and/or regulatory use
• Deep, hands-on expertise in causal inference and advanced epidemiologic methods for real-world data, including:
• Target trial emulation
• IP weighted estimators for confounding, missingness, and censoring
• Clone-censor-weighted estimation of dynamic treatment regimens
• Marginal structural models (MSMs), IPTW, and IPCW
• Uncertainty quantification and sensitivity analysis
• Proven ability to translate statistical and methodological requirements into product requirements, architecture trade-offs, and API designs in close partnership with engineering
• Strong experience with R, including package development, testing, and performance profiling
• Experience collaborating closely with software engineers in a production or near-production environment
• Evidence of thought leadership (publications, invited talks, open-source contributions, or methods papers)

Nice-to-have background

• Experience designing statistical APIs or platforms used by external customers
• Familiarity with regulatory expectations for RWE (e.g., FDA, EMA guidance on real-world evidence)
• Experience with CMS/Medicaid data governance and multi-source linkage/tokenization
• Prior experience managing or mentoring senior statisticians or data scientists
• Experience working in a fast-paced, product-driven or startup environment
• Comfort with protocol/report generators and figure/table QA pipelines (e.g., Quarto/R Markdown)
• Fluency with AI/ML coding tools (e.g., GitHub Copilot, Cursor) and comfort incorporating them into statistical programming and reproducible research workflows

If you’re excited to advance the science of real-world evidence in an environment where statistical rigor directly shapes both client impact and software innovation, NoviSci is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

Health Systems Partnership Lead

At Target RWE, our mission is driven by a deep commitment to people—whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has impact, and every contribution helps improve lives. If you are seeking a place where your work truly matters, join us to advance science.

Overview

The Health Systems Partnerships Lead is responsible for our  end-to-end success of our  and collaborations with Health Systems. This includes building and maintaining relationships, driving contracting, onboarding, project management of the integration plan and, and ensuring operational enablement. The Health Systems lead will be the primary point of contact within TargetRWE to provide information on the health of the relationships, recommendations for the future, and upcoming needs. They will be the single point of contact for the Health System for technical questions and to support sites in using data generated by TargetRWE

This role is critical for our research mission w to ensure high-quality, compliant, and scalable real-world data delivery.

This is a hands-on role for a tenacious and proactive candidate who enjoys  building durable processes, and maintaining strong relationships while driving day-to-day execution.

What You’ll Do

• Lead health system onboarding from contracting  through go-live 
• Coordinate site-facing contracting workflows (CTAs and budgets) in partnership with Legal, Finance, and Clinical Operations
• Project manage the the data ingestion and integration efforts sitting in between the TargetRWE Product and Engineering teams and Health System IT teams
• Serve as the primary partner for health system technical and clinical teams
• Proactively identify risks, unblock delays, and maintain momentum across onboarding and activation
• Speak to  data governance, privacy, and security requirements (HIPAA, SOC 2, DUAs)
• Document and scale onboarding playbooks, governance processes, and best practices

What You’ll Bring

• Direct experience working with health systems or hospital IT teams
• Past experience project managing integrations of EHR data from a health system to a non health system entity
• Experience coordinating or supporting Clinical Trial Agreements and site startup workflows with EHR platforms and healthcare data standards
• Proven ability to manage complex, cross-functional initiatives in fast-paced environments
• Understanding of healthcare data governance, privacy, and security requirements
• Excellent communication skills across technical, clinical, and executive audiences

Nice to Have

• Experience in a health tech startup or high-growth environment
• Exposure to AI/ML-driven or data-intensive healthcare products
• Background in clinical operations, informatics, or healthcare consulting

Advanced Practice Clinician (Clinical Lead) - Hepatology

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

Target RWE is seeking an energetic, experienced Advanced Practice Provider (NP, PA or MD/DO) to support our expanding Hepatology therapeutic area in the real-world evidence space. This individual will bring deep expertise in managing complex liver diseases, with a specific focus on cirrhosis, leveraging the unique perspective of an APP.

The APP Clinical Lead reports to the Chief Clinical Officer and is responsible for assisting with clinical aspects of Target RWE's hepatology clinical evidence generation, ensuring scientific rigor and strategic alignment with industry partners while delivering high-quality, impactful insights within a collaborative, scientific environment.

What You’ll Do

• Hepatology Clinical Leadership: In collaboration with the Chief Clinical Officer, facilitate the development and execution of hepatology real-world evidence (RWE) and prospective studies, ensuring relevance to liver disease, methodological soundness, and alignment with industry partner needs.
• Industry Partner Collaboration: Serve as a key clinical liaison for industry partners within the hepatology space, understanding their evidence generation needs, and working within a collaborative team environment to translate them into actionable RWE projects.
• Scientific and Clinical Oversight: Provide expert clinical guidance across all phases of Target RWE hepatology projects, from protocol development to data accuracy, data analysis, interpretation, and dissemination.
• Thought Leadership: Represent Target RWE as a thought leader in hepatology clinical evidence generation, participating in scientific conferences, publishing research, to advance the field.
• Strategic Growth: Contribute to the overall strategic direction of Target RWE, identifying opportunities for growth and innovation within hepatology research.

What We Are Looking For

• Clinician, e.g. Nurse Practitioner (NP), Physician Assistant (PA), or medical doctor (MD/DO), with active credentials and certification.
• 5+ years of clinical experience managing patients with liver disease, including a strong focus on patients with cirrhosis.
• Direct clinical experience working at a medical center affiliated with a liver transplant program.
• Deep knowledge and experience with current and emerging therapies across the hepatology landscape.
• Strong communication skills with the ability to translate complex science into clear strategic insights.
• Comfort working in a fast-paced, collaborative, and entrepreneurial environment.

Preferred Qualifications

• Demonstrated experience in clinical research, real-world evidence, epidemiology, or clinical trials.
• Prior experience in biopharma, CRO, health tech, or RWE organizations.
• Record of scientific contributions (e.g., publications, trial support, advisory roles).
• Experience working with large real-world datasets (EHR, claims, registries)
• Additional clinical experience managing patients with Gastrointestinal (GI) diseases.

If you’re excited to contribute to systems that support meaningful healthcare research, where your expertise directly contributes to trust, compliance, and patient impact, Target RWE is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Hybrid work — 3 days/week in our brand-new RTP office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

NoviSci, a division of Target RWE, is a data science organization with a dual mission:

1.  Developing best-in-class software to support the generation of RWE and
2.  Executing high-impact, tech-enabled scientific consulting and research.

Overview

We are currently seeking a Senior Epidemiologist to join a team of epidemiologists, statisticians, data engineers, and software developers. Together, you will lead the design and implementation of research studies using complex, real-world data. In this role, you will apply leading-edge methodology in epidemiology and statistics to solve important problems in health care.  

What You’ll Do

• Independently design and conduct research studies using advanced epidemiologic and statistical methods, such as causal inference and machine learning
• Lead a cross-functional technical team to ensure scientific integrity and methodological rigor across all phases of the study lifecycle including initial design, protocol development, implementation of statistical analysis, and dissemination of results
• Serve as a key scientific point of contact, engaging directly with clients and external collaborators. Comfort and proficiency in client-facing roles are essential skills 
• Disseminate study findings via study reports, presentations to internal and external stakeholders, peer-reviewed publications, and abstracts and presentations at professional conferences
• Provide technical support to the business development team to develop competitive scientific proposals 

What You’ll Bring

• Advanced degree (PhD or equivalent) in epidemiology, biostatistics, or a related quantitative discipline
• 4+ years of post-doctoral experience, preferably in a biotech or scientific consulting environment
• Experience with observational research methods for causal inference (e.g., inverse probability weighting, negative control outcomes/exposures, target trial emulation, quantitative bias analyses) coupled with a genuine intellectual curiosity to dig deep and explore novel approaches to answer hard questions
• Demonstrated experience leading research projects teams from conception to publication 
• Experience with administrative claims or electronic health record data, including familiarity with using diagnosis, procedure, and medication coding algorithms to operationalize eligibility criteria, exposure status, and clinical outcomes in real-world data.
• Strong aptitude for precise and impactful scientific writing evidenced by a record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation. 
• Strong organizational and planning skills including an ability to independently troubleshoot problems and think analytically in a fast-paced environment
• Willingness to take initiative while maintaining open lines of communication with colleagues and senior leadership. 
• Excellent time management skills and ability to multi-task and prioritize work

Nice-to-Have Background

• Expertise in statistical programming using R
• Experience mentoring junior research staff

If you’re excited to help support meaningful healthcare research, where your expertise directly contributes to rigor, trust, and improved patient outcomes, NoviSci is the place for you. We’re building something important, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

In this role, you will be a foundational member of Target RWE’s Quantitative Sciences (QS) organization, helping to establish Target as a leader in rigorous, reproducible, and regulatory-grade evidence generation. You will serve as a scientific owner of Target’s data, developing deep expertise in its structure, quality, and applications while helping to build scalable data validation, curation, and analytic processes that ensure reliability and usability.

Working closely with cross-functional partners in Product, Engineering, Clinical Operations, and Medical Science, you will design and execute analyses that demonstrate the value of Target’s data, support customers across life sciences, regulatory, and academic settings, and build scalable, standardized analytic approaches for real-world evidence generation.

What You’ll Do

1. Data Ownership and Quality 

• You will establish Target’s data as a trusted, validated scientific asset.
• Ensure Target’s data are accurate, complete, and fit for regulatory and scientific use by building systems and practices that establish trust in data integrity and readiness for analysis.
• Develop deep expertise in Target’s data, understanding its structure, provenance, strengths, and limitations.
• Design and implement validation frameworks, data quality checks, and “fitness-for-use” assessments.
• Create and maintain data dictionaries and documentation that promote transparency and reproducibility.

2. Analytical excellence 

• You will apply advanced analytic methods and scientific rigor to generate reliable, reproducible, and regulatory-grade real-world evidence from Target’s data assets.
  • Support the design and execution of retrospective and prospective studies using Target’s data assets.
  • Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses.
  • Design and implement scalable, reusable analytic frameworks and modular code structures that support consistent execution across therapeutic areas and data products.
  • Apply best practices in methodology, version control, code review, and documentation to ensure reproducibility.
  • Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences.
  • Contribute to publications, abstracts, and collaborations that advance Target’s scientific reputation and influence.

3. Cross functional partnership

• You will work cross-functionally to connect data, science, and strategy, ensuring Target’s evidence generation aligns with customer needs and business goals.
• Partner closely with Commercial, Medical Science, Product, Data Insights, Engineering, and Clinical Operations teams to align on data strategy and analytic priorities.
• Serve as the internal “voice of the customer,” anticipating how clients, regulators, and researchers will use Target’s data.
• Participate in client and partner meetings to demonstrate the validity and value of Target’s data products.
• Leverage your deep knowledge of Target’s data assets to guide internal teams and external partners, anticipating analytical and operational challenges and helping to shape data use strategies.
• Translate analytic findings and data characteristics into clear, client-facing materials that demonstrate Target’s data quality, representativeness, and scientific utility.

What You’ll Bring

• Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field. 
• 5-10+ years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).
• Strong programming expertise in R, and experience with reproducible analytic frameworks.
• Proven expertise in data quality assessment, validation, and curation workflows.
• Demonstrated ability to build and maintain reproducible coding practices and scalable analytic processes that enable efficiency, transparency, and consistency across studies.
• Strong communication, presentation and collaboration skills with cross-functional technical and scientific teams.
• Demonstrated ability to translate data insights into actionable scientific or business recommendations.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave