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Target RWE · 16 hours ago

Head of Science

Durham, NC

Full-time

Hybrid

Director/Executive

8+ years exp

NoviSci is a data science organization focused on developing software for real-world evidence generation and providing scientific consulting. The Head of Science will oversee scientific strategy, lead critical client work, and collaborate with various teams to translate scientific methods into product requirements.

BiotechnologyHealth Care

H1B Sponsor Likely

Responsibilities

Define the scientific vision across products and services

Translate strategy into an executable methods roadmap

Lead methods work, including estimator choice, diagnostics, validation, and reproducibility

Represent NoviSci with senior scientific leaders at biopharma, payers, regulators, and academic partners

Lead and contribute to scientific publications and presentations

Define scientific requirements and acceptance criteria for features

Advise on high-level architecture

Co-design API specifications and review PRDs/tech specs for method fidelity

Provide reference implementations and simulation harnesses that teams use as ground truth for verification

Establish documentation standards for methods notes, assumptions, and user-facing guidance

Serve as scientific lead/PI on select flagship engagements

Architect designs for causal estimation of complex interventions under confounding, missingness, and dependent censoring

Develop research protocols, review SAPs, code/figures, and narratives for validity and clarity

Define data fitness and cohort construction guardrails for claims/EHR/registries

Act as senior scientific advisor to client teams

Help mature their internal evidence pipelines and governance

Evaluate platform fit and methods choices

Guide distributed/federated analyses and clean-room process

Develop reusable scientific workflows

Supervise scientific team leads

Hire, mentor, and train methodologists, scientific programmers, and research scientists

Foster a rigorous, supportive, learning-oriented culture

Uplevel engineers and PMs on causal methods

Uplevel scientists on software craft

Qualification

Causal inferenceStatistical softwareReal-world dataScientific leadershipAPI designEpidemiologyBiostatisticsStatistical methodsTeam buildingClient engagementThought leadershipMentorship

Required

PhD (or equivalent) in Epidemiology, Biostatistics, Statistics, or related field

8+ years post-doctoral experience spanning causal inference, statistical software, and real-world data (claims/EHR/registries); track record of leading complex studies to publication or regulatory use

Deep hands-on expertise with causal inference, including target trial emulation, MSMs/IPTW, IPCW, g-methods, longitudinal designs, and uncertainty quantification

Proven ability to translate scientific needs into product requirements, architecture trade-offs, and API designs in partnership with engineering (R and/or Python; package development; testing; performance profiling)

Executive-level client engagement; credible with senior scientific leaders across industry, regulators, and academia

Evidence of thought leadership (invited talks, committees, open-source, methods papers)

Preferred

Experience with CMS/Medicaid data governance and multi-source linkage/tokenization

Leadership in distributed data networks/federated analyses

Experience with protocol/report generators and figure/table QA pipelines (e.g., Quarto/R Markdown)

Comfort engaging on front-end reporting requirements for scientific outputs

Benefits

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

Company

Target RWE

Target RWE is a provider of Biotechnology services.

Founded in 2014

Durham, North Carolina, USA

51-200 employees

https://www.targetrwe.com

H1B Sponsorship

Target RWE has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2022 (1)