{"id":2473271,"url":"https://alion.io/job/tetrascience-senior-scientific-data-engineer-2","title":"Senior Scientific Data Engineer","company":{"id":179669,"name":"TetraScience","domain":"tetrascience.com","url":"https://alion.io/company/tetrascience","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States","New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":140000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-13T20:33:06Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T04:16:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About TetraScience\nTetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.\nIn connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.\nWhat You Will Do\nYou will join TetraScience's forward deployed teams as a senior, hands-on engineer. In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines. You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe. You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions.\nAct as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward.\nDrive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript.\nDrive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries.\nDeploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks.\nWork with product managers, solution architects, business analysts, data architects, and ML engineers to understand business requirements, recommend outcomes, and build best-in-class data products based on consensus.\nCreate and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.\nLead process and technology improvements supporting product quality, developer experience, and platform capabilities.\nRally the team to finish Agile sprint commitments. Actively surface team inefficiencies and resolve them.\nDrive results. Bring pragmatic urgency to resolving blockers and unclear requirements, and make things happen.\nProvide mentorship to junior scientific data engineers and show leadership on every front.\nRequirements\n8+ years building data products as a Data Engineer or in a similar field.\n8+ years working in Python and SQL with a focus on data, integrations, and scientific applications.\nExpertise in Python and working knowledge of JavaScript, TypeScript, Node, and React.\nHistory leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery milestones.\nExperience working with non-clinical data and lab scientists.\nFamiliarity with the biotech and pharmaceutical industry and regulated environments such as GxP.\nFamiliarity with networking, CI/CD, and full stack development.\nFamiliarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.\nExcellent communication skills, attention to detail, and the confidence to take control of project delivery.\nAbility to quickly understand a highly technical product and communicate effectively with customers, product management, engineering leadership\nBenefits\nCompetitive compensation\nStock options in a VC-backed Series C company\n100% employer-paid benefits for all eligible employees and immediate family members\n401(k)\nUnlimited paid time off (PTO)\nFlexible working arrangements\nCompany-paid Life Insurance, LTD/STD\nThe salary range for this position is $140,000 - $200,000 USD Annually. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.","description_format":"text","description_chars":4758,"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":["Equity","Flexible schedule","Life insurance","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Scientific & Lab Software"],"lifecycle":[{"event":"open","at":"2026-10-13T20:33:06Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":35,"reasons":["conf:2","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":true},"html_url":"https://alion.io/job/tetrascience-senior-scientific-data-engineer-2","json_url":"https://alion.io/job/tetrascience-senior-scientific-data-engineer-2.json","meta":{"generated_at":"2026-10-14T08:54:00Z","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":9726,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":179669},"rest":"https://alion.io/mcp/rest/get_company?id=179669"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftetrascience-senior-scientific-data-engineer-2"},{"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%2Ftetrascience-senior-scientific-data-engineer-2"},{"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%2Ftetrascience-senior-scientific-data-engineer-2"},{"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/tetrascience-senior-scientific-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftetrascience-senior-scientific-data-engineer-2"}]}