{"id":3191081,"url":"https://alion.io/job/copyright-axle-informatics-data-scientist-fellow-aiml","title":"Data Scientist Fellow — AI/ML","company":{"id":4416199,"name":"Copyright Axle Informatics","domain":"axleinfo.com","url":"https://alion.io/company/axleinfo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":100000,"currency":"USD","period":"year","gross":null,"usd_annual":100000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-24T01:13:02Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-31T10:42:43Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"(ID: 2026-3885)\nAxle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).\nBenefits We Offer:\n100% Medical, Dental & Vision Coverage for Employees\nPaid Time Off and Paid Holidays\n401K match up to 5%\nEducational Benefits for Career Growth\nEmployee Referral Bonus\nFlexible Spending Accounts:Healthcare (FSA)\nParking Reimbursement Account (PRK)\nDependent Care Assistant Program (DCAP)\nTransportation Reimbursement Account (TRN)\n\nPosition Overview\nThe Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The incumbent will apply advanced machine learning techniques to organoid standardization and contribute to the development of predictive models for tissue engineering applications.\nKey Responsibilities\nModel development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.\n\nIn silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.\n\nFeedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.\n\nInterdisciplinary collaboration. Work with experimental teams to design characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.\n\nRequired Qualifications\nEducation. Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.\n\nProgramming. Strong programming proficiency in Python, R, or comparable languages, together with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.\n\nApplied experience. Prior experience applying computational methods in biological laboratory settings, including working knowledge of experimental design principles and biological data types.\n\nPreferred Qualifications\nExperience with organoid systems or tissue engineering applications.\n\nKnowledge of differential equations and systems biology modeling, and experience with deep learning approaches for biological applications.\n\nFamiliarity with cloud computing platforms and containerization technologies.\n\nDisclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.\nThe diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.\nAccessibility: If you need an accommodation as part of the employment process please contact: \nThis role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.\nSalary Range\n$90,000—$100,000 USD","description_format":"text","description_chars":4301,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Machine Learning"],"lifecycle":[{"event":"open","at":"2026-10-24T01:32:28Z"}],"visa":[],"liveness":{"score":66,"band":"ok","label":"Likely open","p_open":1,"p_active":0.844,"p_room":0.788,"age_days":7,"expected_fill_days":10,"reasons":["conf:2","velocity","win:late"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":100000,"is_top_pay":false},"html_url":"https://alion.io/job/copyright-axle-informatics-data-scientist-fellow-aiml","json_url":"https://alion.io/job/copyright-axle-informatics-data-scientist-fellow-aiml.json","meta":{"generated_at":"2026-10-31T13:02:14Z","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":20231,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":4416199},"rest":"https://alion.io/mcp/rest/get_company?id=4416199"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcopyright-axle-informatics-data-scientist-fellow-aiml"},{"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%2Fcopyright-axle-informatics-data-scientist-fellow-aiml"},{"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%2Fcopyright-axle-informatics-data-scientist-fellow-aiml"},{"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/copyright-axle-informatics-data-scientist-fellow-aiml\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcopyright-axle-informatics-data-scientist-fellow-aiml"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3191081}},{"tool":"search_jobs","arguments":{"company":"axleinfo.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3191081},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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