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Senior Data Scientist

About the company / Who we are

Pink Elephant builds and funds fast growing ventures for safe access to psychedelics and progressive mental health care.

We exist to build the companies that will steer the revolution in mental health. Global mental health is an urgent, under-addressed crisis: 1 in 8 people (≈970M) live with a mental disorder, and depression and anxiety alone cost ~$1T in lost productivity each year. Progressive therapies have been shown to be up to 10 times more effective than conventional treatments, yet only 5% of people can access them. We’re here to change that by staking capital on verifiable breakthroughs and assembling founders, clinicians, and operators to turn today’s uncommon sessions into tomorrow’s standard of care.

The role

We are building the next-era approach to mental health diagnostics - through developing a high-precision Medical Decision-Support Engine.

Why: diagnosis in psychiatry today is largely subjective:

clinicians rely on personal judgment and different schools of thought
treatment decisions (especially antidepressants) are often based on trial and error
diagnostic tools are outdated and inconsistent

Our goal is to make mental health diagnostics significantly more objective.

Our system leverages the reasoning capabilities of LLMs grounded in structured Medical Knowledge Graphs to provide clinicians with evidence-based decision support. This diagnostic engine would integrate:

patient-reported data
behavioral signals
emerging biomarkers
structured and unstructured medical knowledge

Diagnostic systems in mental state should shift from just “a doctor’s opinion” to a more objective, data-informed assessment.

We are looking for a Data Scientist who can bridge the gap between "black-box" AI and safe, interpretable clinical practice.

Responsibilities: what you will drive

Dataset Engineering & Validation: design robust pipelines for processing Electronic Health Records (EHR) and medical literature. Implement rigorous multi-stage validation frameworks (Sensitivity/Specificity analysis) to ensure clinical safety and model reliability.
LLM Fine-tuning: adapt Large Language Models using SFT, DPO, or PEFT (LoRA/QLoRA) for specialised medical domains and complex clinical diagnostic reasoning.
Advanced RAG & Graph RAG: architect hybrid retrieval systems that combine vector databases with Knowledge Graphs to eliminate hallucinations and ensure factual grounding.
Explainability & Interpretability: develop methods to make model outputs transparent. The engine must provide "reasoning paths" — justifying recommendations by citing specific medical evidence, clinical protocols, and graph relations.

Experience: what you bring

GenAI Stack: expert knowledge of Transformer architectures and hands-on experience fine-tuning LLMs (Llama 3, Mistral, etc.)
Graph ML: hands-on experience with Knowledge Graphs, Triple-stores, or Graph Databases (Neo4j, ArangoDB) and Graph Neural Networks (GNNs).
Retrieval Systems: proficiency in LangChain / LlamaIndex and vector search engines (Pinecone, Milvus, or Weaviate).
XAI Tools: practical experience with SHAP, LIME, or custom attention-mapping techniques for model interpretability.
Validation & Stats: strong background in statistical validation for high-stakes environments and handling imbalanced messy data: no ground truth, no ideally ready-to-go data.
Fine-tuning: identifying important signals and how they can be combined, catching model’s false output timely.

Perks: why join us

Solve the "why": you won't just build a model, you'll build a system that clinicians can trust because they understand its logic.
Cutting-edge stack: work at the absolute forefront of AI, combining LLMs with structured Knowledge Graphs (Graph RAG).
Meaningful social impact: your work directly contributes to better patient outcomes, faster recovery, and a significant reduction in diagnostic errors.

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Link to This Job

Location

Remote

Department

IT&Infrastructure

Employment Type

Full-Time

Minimum Experience

Experienced

Compensation

To be discussed

🏠 Remote & ✈️ Relocation

At whitecircle.ai we’re building the safety layer for modern AI systems — an app that prevents harmful behavior and keeps AI safe for the world. Companies use White Circle to understand how their models behave, catch failures before they spread, and keep interactions stable and secure.

Your work will turn complex AI workflows into simple, clear interfaces used by engineering and research teams every day.

More about White Circle

Raised $11M from founders and top management of the leading AI companies — OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and more.
Processing tens of millions of API requests every month.

What you’ll do

Evolve Figma design system so it stays consistent, scalable, and easy to work with.
Update current screens and design new flows for upcoming features.
Work directly with product, engineering, and research — fast iterations and full ownership.

What we’re looking for

3+ years working with Figma: Auto Layout, Components, Variants, Prototyping, Design Systems.
You’ve designed clear, functional web interfaces, ideally for technical products.
You can create basic animations with any tools you prefer.
You use AI tools in your own workflow.

And don’t worry if you don’t meet every point — if you’re close and eager to grow, we still want to hear from you.

Why White Circle

Small team that moves fast
No corporate culture, no politics
You’ll have real ownership and ship things quickly
Direct feedback and honest collaboration
What we build actually matters for how people use AI
Office with a view in the center of Paris, France (hybrid)

Compensation

$60–120k + equity
Unlimited budget for professional education
New Apple hardware
Paid time off in line with your local regulations, no matter where you work from

Process

Intro call, a design task, then final interview

Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join

‍

Operations Specialist

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Inktech

🇦🇪 United Arab Emirates

Operations Specialist

This position is no longer accepting applications.

Requirements

3-5+ years of experience in administrative, operational, or office management roles, ideally in an international or tech-driven environment;
Proven experience working with external vendors, legal advisors, and contractors;
Experience managing relocation processes and interacting with immigration services;
Excellent organizational and multitasking skills;
Proficiency in Russian and English is required (both written and spoken);
Proactive, detail-oriented, and capable of taking full ownership of cross-functional projects.

Key responsibilities

Organize and maintain office premises (setup, maintenance);
Establish and manage operational frameworks for the local entity;
Open local bank accounts;
Coordinate employee relocation, including visa and permit processes;
Assist with onboarding logistics (accommodation, workspace, documentation);
Oversee local employee benefits and workplace services;
Build relationships with external service providers (legal, accounting, immigration, real estate);
Conduct vendor tenders and manage performance;
Ensure smooth day-to-day administrative operations;
Monitor budgets related to office, relocation, and outsourced services;
Create scalable processes for future operational needs.

Desirable

Own vehicle.

What we offer

Gym membership;
Corporate meals;
Reimbursement of fuel expenses.

German speaking Sales Lead DACH (d/f/m)