Definium Therapeutics is a late-stage clinical biopharmaceutical company and our mission is to forge a new era of psychiatry by applying scientific rigor to psychedelics, with the goal of developing accessible treatments that unlock healing at scale.

Our lead product candidate, lysergide tartrate (our proprietary orally disintegrating tablet form of lysergide (LSD) D-tartrate), represents a highly differentiated, potential best-in-class opportunity for patients suffering from generalized anxiety, major depressive disorder, and posttraumatic stress disorder. Our early stage pipeline includes DT402, the R-enantiomer of MDMA and is under development to target the core symptoms of autism spectrum disorder (ASD), specifically addressing social communication challenges.

Guided by the recognition that patients deserve more than better, Definium is relentlessly advancing a new generation of therapeutics intended to address the underlying causes of psychiatric and neurological disorders. By turning evidence into impact, Definium aims to change the trajectory of today’s mental health care crisis and enable a healthier future. Headquartered in New York, Definium Therapeutics trades on Nasdaq under the symbol DFTX.

Together we are moving psychiatry forward—beyond better, into a boundless future. Join us!

The Manager, Data & Analytics leads the strategy, development, and delivery of commercial analytics capabilities that turn complex data into actionable insights. Working across business, technology, and external partners, the position drives scalable solutions, informs leadership decisions, and improves commercial effectiveness.

Responsibilities

Own the strategy, roadmap, requirements, solution design, delivery, validation, adoption, and ongoing improvement of assigned commercial analytics capabilities
Convert complex business questions into analytical approaches, using claims, real-world data (RWD), CRM, patient services, market access, and other approved commercial data to inform leadership decisions
Develop and optimize SQL queries and analytical transformations to create reliable datasets, automate workflows, reconcile results, and enable scalable reporting and analysis
Independently lead complex analytics workstreams by establishing project plans and governance, coordinating cross-functional dependencies, managing trade-offs, and communicating progress, risks, business implications, and recommendations to leadership
Collaborate with IT, Data Engineering, data vendors, and consulting partners on data acquisition, integration, warehousing, and production delivery while remaining accountable for business requirements and quality acceptance
Define and enhance KPIs, analytical processes, model governance, data-quality controls, documentation, lineage, and repeatable reporting standards across commercial analytics
Perform HCP/HCO and site-of-care analytics, segmentation and targeting, patient-flow analysis, field performance measurement, brand performance analysis, forecast support, and scenario analysis
Clearly present findings, assumptions, limitations, and recommendations to technical and non-technical stakeholders, including commercial leadership
Act as a hands-on analytics leader and trusted strategic partner by advising stakeholders, project teams, analysts, and vendors and driving change without formal people-management responsibility
Identify market inefficiencies, process gaps, and unmet analytics needs, then develop scalable programs and solutions to improve commercial effectiveness

Qualifications

Minimum bachelor’s degree in Data Analytics, Business, Economics, Statistics, Computer Science, Information Systems, or a related field required; Advance degree preferred
Minimum 5 years of industry related experience in data analytics, business intelligence, commercial insights, advanced analytics, or a related field
Experience within Pharmaceutical/Biotech industry required
Experience managing a team of direct and indirect reports preferred
Demonstrated ability to independently own analytics projects from requirements through delivery and stakeholder adoption