{"id":1200230,"url":"https://alion.io/job/phasev-senior-data-scientist-2","title":"Senior Data Scientist","company":{"id":687915,"name":"Phasev","domain":"phasev.com","url":"https://alion.io/company/phasev","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-26T05:45:00Z"}},"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":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":234000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":604},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"arXiv","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-24T18:45:12Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-27T02:42:42Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Company Overview:\nPhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.\nPosition Overview:\nWe are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. This is an integral role on our team with opportunity to interface with our clients directly. Strong communication skills and the ability to navigate ambiguity with a sense of proactiveness is a must. This position offers autonomy and the ability to make an impact on a growing business. \nA couple of recent preprints we’ve released to get a sense of the challenges:\nCausal Responder Detection (https://arxiv.org/abs/2406.17571)\nRobust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)\nKey Responsibilities:\nTechnical Development:\nImplement and optimize ML algorithms, with a focus on causal ML applications in clinical trials\nCollaborate with senior data scientists to develop and improve our analytical platforms\nWork alongside clinical and biological experts to translate complex problems into technical solutions\nResearch & Analysis:\nConduct rigorous statistical analyses of both randomized and observational data\nDevelop and validate methods for responder identification and treatment effect estimation\nDocument and present methodologies and results for internal and external stakeholders\nCollaboration:\nWork cross-functionally with engineering, product, and business development teams\nContribute to technical discussions and peer code reviews\nSupport the preparation of technical documentation and research papers\nQualifications:\nEducation:\nMaster's in Computer Science, Statistics, Data Science, Engineering or a related field\nPh.D. is an advantage but not required\nExperience:\n3+ years of experience in data science or machine learning roles\nExperience with ML in a practical research or industry setting\nBackground in statistical modeling and analysis\nWork experience in a biotechnology/life sciences environment\nSkills:\nStrong programming skills in Python (R in addition - an advantage)\nProficiency in statistical analysis and machine learning\nExperience with data visualization and communication of technical concepts\nAbility to communicate results clearly and effectively\nStrong analytical and problem-solving skills\nPreferred:\nFamiliarity with causal inference concepts\nExperience with large-scale data processing\nWhat We Offer:\nJoin us on a mission to bring more effective drugs to more patients.\nThe opportunity to work with an amazing team passionate about making a real-world impact.\nExtremely hard and diverse problem setting, in which the team is pushing the envelope.\nA collaborative and dynamic startup environment.\nProfessional growth and development opportunities.","description_format":"text","description_chars":3687,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology"],"lifecycle":[{"event":"open","at":"2026-09-24T20:30:05Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":33,"reasons":["conf:2","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/phasev-senior-data-scientist-2","json_url":"https://alion.io/job/phasev-senior-data-scientist-2.json","meta":{"generated_at":"2026-09-27T03:06:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2849,"day_limit":5000,"remaining_today":2151,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}