WORK WITH AIMS
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Better research.
Join a small, remote team building tools for the people behind research.
OPEN POSITIONS
Project Coordinator
Remote · Puerto Rico & mainland US
Explore →Data Analyst
Remote · Puerto Rico & mainland US
Explore →Onboarding Specialist
Remote · Puerto Rico & mainland US
Explore →Open to candidates in Puerto Rico or the mainland US. Some travel to client sites or team gatherings is expected (estimated 2–6 trips per quarter depending on role). Published benefits include health insurance, dental insurance, 401(k), and remote work. Compensation is competitive and based on experience.
Project Coordinator
Competitive, based on experience
Position Summary
The Project Coordinator is the operational point-person for our client research teams. When a research coordinator at Harvard or Johns Hopkins has a question, hits an issue, needs a configuration change, or needs to escalate something — you are the first call, and you are the person who makes sure it gets resolved. You will work directly with our internal IT and engineering team to triage and solve customer issues, and you will work directly with client research staff to keep their studies moving on the platform. This is a delivery and customer-success-adjacent role at a startup where the quality of your coordination directly affects renewal and reference-ability with top-10 research institutions.
Key Responsibilities
- Serve as the day-to-day operational contact for client research teams using Aims — answering questions, resolving issues, and shepherding configuration requests through to completion.
- Work directly with Aims' internal IT and engineering team to triage customer issues, reproduce bugs, scope fixes, and communicate clearly back to the client on status and timing.
- Coordinate the implementation plan for new institutional clients from contract signature through go-live, including data security questionnaires, SSO/SAML integration scheduling, platform configuration, and research staff training.
- Run weekly client touchpoints, maintain a single source of truth on open items, and escalate blockers to the right internal owner before they slip.
- Track client-requested platform changes and keep clients informed on status — what's shipped, what's in progress, what's been deprioritized and why.
- Maintain Aims' internal coordination tooling — issue trackers, client-facing status documents, kickoff and handoff templates — and improve them as we scale beyond the founding cohort of clients.
- Pitch in on adjacent work as the company needs it: documentation, support content, helping with conference logistics, contributing to investor updates. We're a small team and everyone moves the company forward.
Required Qualifications
- 3+ years coordinating complex, multi-stakeholder work in a B2B SaaS, healthcare IT, clinical research support, or higher-ed environment.
- Demonstrated ability to manage 5–10 concurrent client engagements without dropping commitments.
- Strong written communication; comfortable drafting status emails that go directly to PIs, IRB administrators, and institutional CIOs.
- Comfort working directly with engineering and IT — you can read a bug report, ask sharp clarifying questions, and translate between technical and non-technical stakeholders.
- Fluent in standard project tooling (Asana, Linear, Jira, or equivalent) and able to set up and maintain process without heavy hand-holding.
- A genuine "figure it out" disposition — you are not waiting for a process to exist before you act.
Preferred Qualifications
- Prior experience supporting academic medical centers, IRBs, or human-subjects research workflows.
- Familiarity with SOC 2, HIPAA, or institutional data-security review processes.
- Prior customer-facing role at an early-stage startup.
- Cursory fluency with modern AI tools and a willingness to use them daily — Claude, Claude Cowork, AI-augmented IDEs (Cursor, VS Code + Copilot, or similar). Aims is an AI-forward company; we expect our team to be AI-forward too.
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Data Analyst
Competitive, based on experience
Position Summary
The Data Analyst is the data partner to three groups: our engineering team, our Project Coordinator, and our institutional customers. You will work with our development team on the data management capabilities of the Aims platform — bringing an analyst's perspective to how the product handles, exports, and reports research data. You will partner with the Project Coordinator on customer-facing issues that have a data dimension — investigating anomalies, validating exports, and writing clear findings the customer can act on. And you will work directly with our institutional clients' research teams to help them get analytical value out of the data they generate on Aims. (Note: internal company metrics — ARR, gross margin, churn, financial reporting — are owned by our CFO; this role is squarely focused on product, customer support, and customer-research enablement.)
Key Responsibilities
- Partner with the engineering team on data management product development — study data exports, audit trails, data integrity safeguards, reporting features, and how the platform structures research data over time. Bring an analyst's perspective to design decisions before they ship.
- Assist the Project Coordinator with customer-facing issues that have a data dimension: investigating data anomalies, reproducing reported issues in queries, validating exports, and producing clear written findings the customer can act on.
- Assist our institutional customers' research teams in getting analytical value out of the data they generate on Aims — helping them structure exports, build study-performance reports, and answer the operational questions their PIs are asking.
- Develop client-facing analytics surfaces — dashboards and study-performance reports — that help PIs and research coordinators run more efficient studies on Aims.
- Build and maintain a clean, documented analytics layer (dbt-style or equivalent) on top of the production database that supports product, customer support, and customer-research use cases.
- Maintain analytical rigor and intellectual honesty — surface results that are inconvenient, flag confounds, and resist the temptation to cherry-pick.
- Pitch in on adjacent work as the team needs it: pulling data for a sales conversation, helping a teammate chase down a question, contributing to internal documentation. Small team, multiple hats.
Required Qualifications
- 3+ years in a data analyst, analytics engineer, or product analyst role at a SaaS, healthcare-tech, or research-tech company.
- Strong SQL fluency (window functions, CTEs, query optimization) on a production OLTP or analytics warehouse.
- Working proficiency in Python or R for analyses that go beyond SQL.
- Experience with at least one BI tool (Metabase, Looker, Tableau, Mode, Hex, or similar).
- Clear written communication of statistical and quantitative findings to non-technical stakeholders.
Preferred Qualifications
- Background in epidemiology, biostatistics, public health, or another applied quantitative discipline.
- Experience working in a SOC 2 environment or with HIPAA-protected data.
- Familiarity with research-domain data shapes (REDCap exports, study/visit/event hierarchies, consent state machines).
- Prior analytics role at an early-stage startup where you set up infrastructure, not just used it.
- Cursory fluency with modern AI tools and a willingness to use them daily — Claude, Claude Cowork, AI-augmented IDEs (Cursor, VS Code + Copilot, or similar). Aims is an AI-forward company; we expect our team to be AI-forward too.
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Onboarding Specialist
Competitive, based on experience
Position Summary
Onboarding at Aims is a high-stakes function. We are asking large research institutions to retire 12+ existing tools and consolidate onto our platform. The Onboarding Specialist is the human accountable for making that transition successful — for getting the platform configured to match each institution's IRB-approved protocols, for getting research staff confident and productive on Aims, and for getting their first study live on time. The first 90 days of a client relationship determines whether they renew, expand, and serve as a reference; this role owns those 90 days.
Key Responsibilities
- Lead end-to-end onboarding for new institutional clients: kickoff, platform configuration, data migration from their legacy tools, integration setup (SSO, payment processors, and other systems on the client side), and study go-live.
- Translate the client's IRB-approved protocols into platform configuration — eligibility logic, consent flows, scheduling rules, retention touchpoints, payment schedules — and verify with the PI and study team that the configuration matches their protocol exactly.
- Design and deliver training for the client's research coordinators, PIs, and study staff. Build the training assets (videos, quick-reference guides, in-app walkthroughs) once and improve them with each new client.
- Serve as the day-to-day point of contact during onboarding; triage questions, route technical issues to engineering, and protect the client from internal handoff friction.
- Hand off cleanly to ongoing customer success / account management at the end of the onboarding window, with a documented account record that the next owner can run with.
- Feed structured product feedback back to engineering — friction points, configuration requests that come up repeatedly, gaps between current product and the workflows institutional research teams actually need.
- Pitch in on adjacent work: supporting the Project Coordinator on tough customer issues, contributing to support documentation, helping with sales demos when needed. Small team, multiple hats.
Required Qualifications
- 3+ years in customer onboarding, implementation, customer success, or research-coordinator roles at a B2B SaaS, healthcare-tech, or research-tech company.
- Track record of successfully onboarding mid-to-large enterprise or institutional accounts ($25K+ ACV).
- Strong facilitation and training skills; comfortable leading a working session with 10–20 research staff including senior PIs.
- Genuine curiosity about how research operations actually work — not just enthusiasm for "customer success" as a function.
Preferred Qualifications
- Prior hands-on experience as a clinical research coordinator, study coordinator, or research operations manager at an academic center.
- Familiarity with REDCap, OnCore, IRB submission systems, or comparable research tools.
- Experience working with institutional IT and security review processes.
- Prior onboarding role at an early-stage startup.
- Cursory fluency with modern AI tools and a willingness to use them daily — Claude, Claude Cowork, AI-augmented IDEs (Cursor, VS Code + Copilot, or similar). Aims is an AI-forward company; we expect our team to be AI-forward too.
Opens your email app. Attach your résumé and include the role name. Nothing is submitted by this website.