Lead Data Scientist – Virtual Models

Job not on LinkedIn

🔥 0 minutes ago

🇮🇹 Italy – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

QIMA

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2005

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

💰 Private equity on 2025-04

Food & Beverage • Healthcare • Consulting

QIMA is a global quality assurance and compliance company that provides testing, inspections, audits, certifications, laboratory services and supply-chain due diligence for consumer products, food/agri commodities and life sciences. It combines a global network of on-the-ground inspectors and laboratories with digital tools (including QIMAone SaaS) and offers services such as chemical and microbiological testing, pre-shipment inspections, supplier audits, sustainability/ESG solutions, pre-clinical and bioanalytical testing, and cybersecurity advisory and training. QIMA helps businesses ensure product safety, regulatory compliance and supply-chain transparency across international markets.

📋 Description

• Take ownership of QIMA’s virtual pharmacology models programme • Assess proposals and underlying datasets across QIMA’s Business Units • Examine data quality, structure, consistency, depth and breadth • Recommend one or two models with the strongest development potential • Build and manage data pipelines • Clean, structure, integrate and analyse complex biological datasets • Develop machine learning models and proof-of-concept models • Identify data gaps and recommend additional experiments • Work with laboratory scientists to define experiments, required data, measurements and quality criteria • Establish validation criteria and prepare models for independent scientific validation • Improve models through repeated testing and iteration • Ensure code, data and models are reproducible, traceable and properly documented • Present results to scientific, technical, commercial and non-specialist audiences • Support preparation of a model for future commercialisation as a SaaS product or service supporting, replacing or complementing wet-lab assays • Contribute to documentation and protection of intellectual property • Initially work as an individual contributor, with potential to help build and lead a data science team • Within six months, assess proposals, recommend the strongest projects and establish one or two proofs of concept • Within 12–15 months, prepare at least one model for potential commercialisation, including scientific validation, an internal interface and complete documentation or detailed operator training

🎯 Requirements

• PhD in data science, biostatistics, bioinformatics, machine learning or a related field • 8–10 years of experience in data science, biostatistics and machine learning • Proven track record of delivering complex machine learning projects using complex biological datasets • Strong experience building data pipelines, assessing data quality, identifying limitations and defining what additional data is needed • Experience working with scientists and translating scientific questions into data and modelling approaches • Excellent communication skills and ability to explain complex concepts clearly to non-specialists • Ideally, experience presenting work to clients, partners or other external stakeholders • Practical, entrepreneurial and hands-on approach • Ability to work independently and take ownership of an ambiguous, new project • Strong Python or R skills, including production-quality, version-controlled code • Experience with cloud data platforms, including Snowflake • Experience with MLOps practices • CV in English

🏖️ Benefits

• Opportunity to build a new capability from the ground up and shape how QIMA uses its biological data • Direct access to senior leadership, laboratory experts and technical teams • Autonomy to define the approach and deliver tangible results • Remote work available • Travel opportunities to QIMA laboratories in France, Northern Ireland and Germany, depending on project needs