Careers at Mergic

Build the future of precision medicine

Join a team of engineers, scientists, and product leaders building the multimodal AI platform that unifies imaging, genomics, and clinical data for hospitals, genomics labs, and biopharma R&D worldwide.

Our mission

Work on AI that accelerates real clinical and research outcomes

Impact at scale

Your work powers diagnosis decisions and target discovery for precision medicine teams worldwide

Mergic operates at the intersection of GPU-accelerated AI, clinical genomics, medical imaging, and biopharma R&D. You will build systems that compress variant-calling pipelines from overnight to minutes, unify cross-modal biomedical data into governed knowledge graphs, and accelerate diagnosis operations for multi-site hospital networks.

Built natively on NVIDIA Clara, MONAI, Parabricks, BioNeMo, and NIM

Ship fast

Weekly releases. 30-day pilots. Production deploys with confidence, not ceremony.

Go deep

Own systems end-to-end. GPU kernels to clinical UX, all in one team.

Our values

What we stand for

Patient outcomes first

Every architecture decision, model choice, and governance control exists to accelerate diagnosis and discovery — not to chase metrics. We measure success by clinical throughput, variant-calling latency, and researcher time saved.

Impact over optics

Deep technical ownership

We hire engineers and scientists who go deep — who understand GPU kernel optimization, cross-modal embedding spaces, and clinical workflow constraints.

Transparent governance

Every model inference is auditable. Every policy is explicit. Every deployment boundary is documented. Trust is built through clarity.

Collaborative by default

We operate as one team across engineering, science, product, and clinical — with open roadmaps, public design docs, and async-first communication.

Bias toward shipping

We ship weekly. Pilots run in 30 days. Velocity compounds when you trust your systems and your teammates.

Benefits

We invest in your health, growth, and long-term success

Remote-first, always

Work from anywhere with flexible hours and async collaboration across time zones. No mandatory in-office days. We gather quarterly for intentional in-person offsites.

11 countries represented

Competitive equity

Early-stage equity grants with 4-year vesting, 1-year cliff, and annual refresh programs based on impact.

Health coverage

Medical, dental, and vision with premium coverage for you and dependents. Plus mental health support.

Learning budget

Annual stipend for conferences, courses, certifications, and books.

Flexible PTO

Unlimited PTO with a minimum 3-week annual policy. Real rest, not theater.

Parental leave

16 weeks fully paid for primary caregivers, 8 weeks for secondary caregivers.

Team culture

How we work together

Remote-first, async by default, with intentional in-person collaboration

We hire the best talent regardless of location and default to asynchronous communication — public design docs, recorded demos, and transparent decision logs. We gather quarterly for week-long team offsites focused on deep work, roadmap planning, and relationship-building. High trust, high autonomy, high output.

Open communication / High trust / Deep technical work

Weekly demos

Every Friday, the team shares what shipped, what broke, and what we learned. No slides required.

Public roadmaps

Product, engineering, and science roadmaps are visible to the entire team — priorities, tradeoffs, and timelines.

Design docs first

Major features start with public RFC-style proposals that collect feedback before code is written.

Quarterly offsites

Four times per year, the team gathers in person for deep work, roadmap alignment, and team building.

Our teams

Engineering, science, and product — working as one

Engineering

Platform & Infrastructure

Build the GPU-accelerated backbone that serves clinical, genomics, and biopharma workloads. Own inference serving with NIM and Triton, orchestrate multi-model pipelines, scale DGX clusters, and architect the integration fabric connecting PACS, EHR, and data lakes to NVIDIA microservices.

TypeScript / Python / Go / CUDA / Kubernetes

Science

Research & AI

Develop cross-modal embedding models that unify imaging, genomics, and clinical text. Train on DGX systems, integrate with MONAI and BioNeMo, and validate with clinical partners.

Product

Product & Design

Own the roadmap for Mergic's six products. Work directly with hospital networks, genomics labs, and biopharma teams to define features, measure outcomes, and ship clinical impact.

Operations

Customer Success

Deploy Mergic for enterprise customers, configure governance policies, train clinical teams, and own production monitoring across cloud, VPC, and on-prem.

Growth

Go-to-Market

Build pipeline in precision medicine. Navigate complex health system procurement, articulate technical differentiation, and land enterprise pilots.

Open positions

Join the team building the multimodal AI layer for precision medicine

Engineering / Remote

Senior Full-Stack Engineer

Build the web platform that clinical, genomics, and biopharma teams use to interact with unified multimodal AI. Own features end-to-end — from React components and API design to database queries and deployment pipelines. Work with TypeScript, React, Node.js, PostgreSQL, and NVIDIA NIM microservices.

Apply now →

Engineering / Remote

ML Infrastructure Engineer

Scale GPU-accelerated inference across DGX systems, build serving pipelines with NIM and Triton, and own orchestration for MONAI, Parabricks, and BioNeMo.

Apply →

Engineering / Remote

Backend Engineer (Genomics)

Build genomics data pipelines that ingest FASTQ, VCF, and BAM at scale, integrate with Parabricks, and expose APIs for clinical interpretation workflows.

Apply →

Engineering / Remote

Frontend Engineer

Craft high-performance clinical UIs in React and TypeScript. Build medical imaging viewers, variant browsers, and real-time dashboards.

Apply →

Science / Remote

Research Scientist (Multimodal AI)

Develop cross-modal embedding models unifying imaging, genomics, and clinical text. Train on DGX, validate with clinical teams.

Apply →

Product / Remote

Product Manager (Clinical AI)

Own the product roadmap for Mergic Triage, Review, and Citadel. Work with hospitals and labs to define features and prioritize clinical impact.

Apply →

Operations / Remote

Customer Success Engineer

Deploy Mergic for new customers, configure governance policies, and own production monitoring for enterprise deployments.

Apply →

Science / Remote

Bioinformatics Scientist

Design GPU-accelerated variant calling and annotation pipelines. Build the next generation of clinical genomics tooling on Parabricks.

Apply →

By the numbers

Our team today

35+

Team members across engineering, science, product, and operations

6

GPU-accelerated products in production

11

Countries represented on the team

NVIDIA

Inception partner — built natively on the healthcare stack

8

PhDs in CS, biology, and computational medicine

100%

Remote-first with quarterly in-person offsites

Team voices

What it's like to work here

"I joined from a large cloud company expecting a step down in infra quality. Instead, I found a team that ships faster, owns more, and works on problems that actually matter to patients."

Senior ML Engineer — joined from Google Cloud

"The intersection of deep learning and clinical genomics is exactly where I wanted to be. Here I get to train models on real clinical data and see them deployed in production within weeks."

Research Scientist — PhD in Computational Biology

"Remote-first done right. High autonomy, public design docs, and a culture that respects deep work. The quarterly offsites give us the in-person time that actually matters."

Staff Engineer — based in Berlin

Perks

The extras that make a difference

Latest hardware

MacBook Pro M4 Max or equivalent workstation. External displays, ergonomic setup budget, and home office stipend. For ML engineers: access to DGX cloud instances for development and experimentation.

Conference budget

Attend NeurIPS, MICCAI, ASHG, GTC, and any conference relevant to your growth. Travel and registration covered.

401(k) matching

Retirement savings with employer match to build long-term financial security from day one.

Wellness stipend

Monthly budget for gym, therapy, meditation apps, or anything that keeps you healthy.

Relocation support

If you want to move, we help with visa sponsorship and relocation costs.

Team offsites

Quarterly week-long gatherings in inspiring locations. Deep work, roadmap sessions, and team bonding.

Hiring process

What to expect when you apply

Step 1

Application review

Submit your application. We review within 5 business days, looking for depth of experience, evidence of impact, and alignment with our mission.

Step 2

Intro call

30-minute conversation with a team member to discuss your background, our mission, and what excites you about precision medicine AI.

Step 3

Technical round

Role-specific technical conversation or take-home. For engineering: system design or coding. For product: case study. For science: research discussion.

Step 4

Team interviews

Meet 3-4 team members across functions in 45-minute conversations. We evaluate technical depth and collaboration. You evaluate us.

Step 5

Offer

Transparent compensation breakdown with salary, equity, and benefits. Typically 2-3 weeks from application to offer letter.

Timeline

2-3 weeks

From application to offer. We move quickly and communicate clearly at every stage to respect your time.

Diversity & inclusion

Building a team that reflects the patients and researchers we serve

Precision medicine serves everyone — and our team should too

We are committed to building a diverse, inclusive team across gender, race, ethnicity, nationality, sexual orientation, disability status, and background. We actively recruit from underrepresented groups, partner with diversity-focused organizations, and evaluate our hiring and compensation practices for bias. Great ideas come from diverse perspectives, and the best healthcare AI is built by teams who understand the breadth of human experience.

Equal opportunity employer / Inclusive hiring / Anonymous resume reviews

Pay transparency

We share salary bands for every role and conduct regular compensation audits to ensure equity.

Accommodation

We provide reasonable accommodations throughout the interview process and employment. Just ask.

FAQ

Common questions about working at Mergic

Not necessarily. We value deep technical expertise and the ability to learn complex domains quickly. Many team members came from adjacent fields and ramped on clinical workflows, genomics pipelines, and healthcare compliance through onboarding and collaboration with domain experts.

Yes. Our team is distributed across 11 countries and we default to async communication. We gather quarterly for in-person offsites, but day-to-day work happens remotely with flexible hours.

We offer competitive early-stage equity grants with 4-year vesting and 1-year cliff. Equity ranges depend on role, level, and join date. We provide refresh grants annually based on performance and impact.

From application to offer, the process typically takes 2-3 weeks. We move quickly and communicate clearly at every stage to respect your time and keep you informed.

Most roles are full-time, but we occasionally hire contractors for specialized projects or advisory work. Reach out if you have a specific arrangement in mind.

Work on problems that directly improve patient care

Join us

Help us build the AI layer for precision medicine

We are hiring engineers, scientists, and product leaders to accelerate diagnosis and discovery for clinical, genomics, and biopharma teams worldwide.