{"id":187888,"url":"https://alion.io/job/lila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials","title":"Senior Data Engineer, Bioinformatics, Cheminformatics, Materials","company":{"id":65163,"name":"Lila Sciences","domain":"lila.ai","url":"https://alion.io/company/lila-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":48,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":144000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flyte","optional":false},{"name":"NumPy","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"DuckDB","optional":true},{"name":"NATS","optional":true},{"name":"Polars","optional":true}],"status":"live","first_seen_at":"2026-09-01T20:49:13Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-17T23:06:57Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":45},"description":"Your Impact at LILA\nLila’s mission is to accelerate scientific discovery with AI, and that depends on trustworthy scientific data. As a Data Engineer, you’ll build ETL pipelines and data models for Lila’s scientific data platform, working at the intersection of data engineering, computational biology, chemistry, and materials science.\nYou’ll partner with AI researchers and experimentalists to turn raw lab instrument outputs into validated, analysis-ready datasets. The core challenge is data modeling: transforming messy, per-instrument measurements into clean, well-typed data that is efficient to query, reliable to use, and ready for downstream analysis.\nYou’ll also build domain-specific analysis functions and reusable data pipelines that help scientists and AI researchers move faster without re-deriving bespoke solutions.\nWhat You'll Be Building\nDesign pipelines that turn raw lab output into analysis-ready scientific data.\nModel heterogeneous data from bio, chemistry, and materials instruments.\nBuild validation checks, schema-evolution gates, and data quality workflows.\nDevelop reusable analysis functions for scientific and AI research workflows.\nImprove automation and observability across instrument-to-result data flows.\nBuild canonical datasets that scientists and AI researchers can trust.\nUse AI coding tools to accelerate pipeline development and team velocity.\nWhat You'll Need to Succeed\n2-6 years of experience in data engineering, bioinformatics, cheminformatics, or computational science.\nStrong Python skills, including typed, tested, production-quality code.\nStrong SQL skills, especially with Postgres or similar relational databases.\nExperience building ETL pipelines, data models, and reusable data transformations.\nData science foundation, including statistics and pandas, NumPy, or similar tools.\nExperience translating noisy scientific measurements into accurate, validated datasets.\nWorkflow orchestration experience, ideally Flyte, Airflow, Prefect, Dagster, or Nextflow.\nActive use of AI coding tools in day-to-day engineering work.\nBonus Points For\nExperience with columnar or lakehouse stacks such as Parquet, Iceberg, DuckDB, Polars, or Ibis.\nFamiliarity with event-driven pipelines such as NATS or Kafka. • Exposure to lab instrument data formats, LIMS, or ELN systems.\nFamiliarity with life sciences assays, sequencing, imaging, or flow cytometry.\nFamiliarity with materials or chemistry methods such as XRD, XRF, SEM, TGA, or DSC.\nExperience with curve fitting, peak detection, or unit and dimensional analysis.\nCompensation\nWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\nU.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\nInternational Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\nExpected Base Salary Range\n$144,000—$240,000 USD\nAbout LILA\nLila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\nLILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\nGuided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.\nWe’re All In\nLila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\nInformation you provide during your application process will be handled in accordance with our Candidate Privacy Policy.\nA Note to Agencies\nLila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.","description_format":"text","description_chars":5185,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Bioinformatics","Materials Science & Nanotechnology","Laboratory & Pharmaceutical Robotics","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-09-02T00:46:12Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.859,"p_room":0.72,"age_days":45,"expected_fill_days":70,"reasons":["conf:2","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":240000,"is_top_pay":true},"html_url":"https://alion.io/job/lila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials","json_url":"https://alion.io/job/lila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials.json","meta":{"generated_at":"2026-10-18T01:54:41Z","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":3089,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":65163},"rest":"https://alion.io/mcp/rest/get_company?id=65163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials"},{"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%2Flila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials"},{"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%2Flila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials"},{"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/lila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flila-sciences-senior-data-engineer-bioinformatics-cheminformatics-materials"}]}