{"id":2280830,"url":"https://alion.io/job/one-moment-please-data-scientist-ai-first","title":"Data Scientist( AI-first)","company":{"id":2195990,"name":"Sqilline Health","domain":"sqilline.com","url":"https://alion.io/company/sqilline","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":70000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"dbt","optional":true},{"name":"GDPR","optional":true},{"name":"PEFT","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-14T12:28:48Z","employer_posted_date":null,"last_verified_at":"2026-09-14T12:28:48Z","board_verified":false,"closed_at":null,"days_open":39,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":39},"description":"Company Overview\n\nSqilline Health builds Danny, an oncology analytics platform that works with real-world clinical data from 120+ hospitals in Bulgaria, Romania, Serbia, Croatia, Spain, and Poland. Pharma companies use our analyses to see how cancer treatments perform in real patients. We run our own LLMs on air-gapped infrastructure, so patient data never leaves our environment.\n\nAbout the Role\n\nWe are an AI-first company. Our models read raw clinical records and turn them into structured oncology data that some of the biggest pharma companies use to see how cancer treatments perform in real patients. This role is the logic in between: disease-specific algorithms that turn records for an indication into analysis-ready variables and cohorts, and models that pull the right facts out of messy clinical text.\n\nThis is a mid-level role with room to grow into owning a disease area. You work on the logic for your assigned indications, with the CDO and the data science team close by. You design the algorithm, build the training set from real corrected cases, and check the result against a gold set before it ships. The data is patient-level oncology data from hospitals in six countries, so a wrong value distorts an analysis a client acts on. Getting the algorithm right is the job.\n\nYou also work AI-first. You build model-driven pipelines around your own workflows: agents do the first pass, you review and judge, and the system logs what got corrected. Every algorithm you ship leaves reusable automation behind it.\n\nWhat you will do:\n\nDeliver analyses on real-world oncology data: cohorts, treatment patterns, outcomes across hospitals, indications, and countries.\n\nDesign and implement disease-specific algorithms: the logic that turns clinical records for an indication into analysis-ready variables and cohort definitions.\n\nGrow into fine-tuning our self-hosted LLMs for clinical extraction: build training sets from corrected cases, run the fine-tunes with support, and evaluate against gold sets.\n\nVerify and validate patient-level data with model assistance: the model does the first pass, flags what it’s unsure about, and you judge the rest.\n\nRebuild recurring delivery workflows as model-driven pipelines, so each month runs more automated than the last.\n\nKeep your work in proper repositories: versioned code, CI on GitLab, reviewable and repeatable.\n\nWork with both our stacks: self-hosted vLLM for volume work, frontier models for planning and hard cases.\n\nMeasure everything. Every automated step has an accuracy number; every analysis has a quality trail.\n\nShow the team how to run and extend what you build.\n\nWhat we look for:\n\nAI-first thinking. Your default question is “can a model do this?” before you do it by hand even once.\n\nYou use LLMs daily in your own work: coding agents, prompt pipelines, evals.\n\nYou take data quality personally. In clinical data, a wrong value can distort an analysis a client acts on.\n\nYou ship. A working flow this week beats a framework next quarter.\n\nYou measure. An analysis without a quality check, or automation without an accuracy number, is not done.\n\nSkills\n\nYou need:\n\nSolid Python for data work (pandas or similar).\n\nStrong SQL.\n\nStatistics fundamentals: distributions, testing, knowing when a result is noise.\n\nHands-on LLM work: prompt pipelines, structured output, evaluation, and first experience with fine-tuning (LoRA or similar).\n\nGit as a habit, Docker and Linux without fear.\n\nNice to have:\n\nSurvival analysis or other clinical and epidemiological methods.\n\nHealthcare data experience: EHR, clinical registries, GDPR.\n\nAirflow, dbt, or similar pipeline tooling.\n\nExperience with agent frameworks or multi-step LLM workflows.\n\nWhat we offer:\n\nA challenging role in a dynamic organization.\n\nCompetitive remuneration package.\n\nComprehensive social package, including additional private health insurance and multisport card.\n\nA supportive, friendly, and innovative team environment.\n\nOpportunities for professional growth and development.\n\nWhy Join Us?\n\nYou’ll be part of a fast-growing team shaping the future of healthcare in Europe. If you love tech, thrive in dynamic environments, and want to make a real impact—this is your chance.\n\nApply now or message us to learn more!","description_format":"text","description_chars":4255,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-11T11:16:15Z"},{"event":"close","at":"2026-10-12T23:18:15Z"},{"event":"reopen","at":"2026-10-20T07:44:22Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.594,"p_room":0.45,"age_days":38,"expected_fill_days":23,"reasons":["seen:38","win:tail"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/one-moment-please-data-scientist-ai-first","json_url":"https://alion.io/job/one-moment-please-data-scientist-ai-first.json","meta":{"generated_at":"2026-10-23T17:06:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25936,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2195990},"rest":"https://alion.io/mcp/rest/get_company?id=2195990"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fone-moment-please-data-scientist-ai-first"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fone-moment-please-data-scientist-ai-first"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fone-moment-please-data-scientist-ai-first"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/one-moment-please-data-scientist-ai-first\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fone-moment-please-data-scientist-ai-first"}]}