{"id":2081369,"url":"https://alion.io/job/microsoft-postdoctoral-researcher-experimental-data-generation-cro-strategy","title":"Postdoctoral Researcher, Experimental Data Generation & CRO Strategy","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":100,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany","Cambridge, United Kingdom"],"countries":["DE","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":8191,"max":null,"currency":"EUR","period":"month","gross":null,"usd_annual":109956},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false}],"status":"live","first_seen_at":"2026-09-22T12:14:16Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-13T15:52:01Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"OverviewMicrosoft Research AI for Science seeks a motivated Postdoctoral Researcher to design and lead experimental data-generation campaigns for the next Biomolecular Emulator (BioEmu) model. Microsoft Research AI for Science focuses on the development of machine learning and artificial intelligence methods for transforming molecular simulation and discovery of novel materials, drugs and chemical reactions. The BioEmu project aims to model the dynamics and function of proteins, how they change shape, bind to each other, and bind small molecules. This approach will help us to understand biological function and dysfunction on a structural level and lead to more effective and targeted drug discovery. Our BioEmu-1 model was published in Science (see our blog post for links to our open-source software and other resources and this explainer video).\nThis role is suited for researchers with either an experimental or computational background who are excited about connecting machine learning models with real-world biological measurements. They shall combine strong scientific judgement with clear communication, quantitative data interpretation and effective coordination across disciplines. The position does not include a dedicated wet-lab bench; experimental execution will primarily be carried out through external partners.This role emphasizes scientific ownership, cross-disciplinary collaboration, and scalable systems thinking, moving beyond one-off experiments or models to build reusable, high-impact data and modeling pipelines.\nWhy this role is exciting\nYou’ll be running very large-scale data generation campaigns to train next-generation AI methods that can make a meaningful impact on how biomolecular modeling is done and improve success rates in drug discovery. You provide your expertise on technical and design level, making decisions about and creating datasets that have crucial impact on our AI models. It’s an opportunity to bridge state-of-the-art ML with meaningful biomedical impact in a highly collaborative research environment.\nResponsibilities\n1.Experimental campaign design, including areas such as\nDesign scalable campaigns for biomolecular interactions, conformational dynamics and related protein measurements. \nSelect systems, constructs, assays and controls based on scientific value, feasibility, diversity, throughput and cost. \nAnticipate bottlenecks and define success criteria, contingency plans and follow-up experiments. \n2. CRO and external-partner leadership, including areas such as\nTranslate research goals into clear work packages, milestones and experimental requirements. \nCoordinate parallel programs with CROs and academic collaborators, review progress and guide corrective iterations. \nProvide scientific direction on protein production, assay development and biophysical or structural characterization. \n3. Data quality and interpretation, including areas such as\nReview raw and processed experimental outputs, including binding curves and kinetic measurements. \nDiagnose artifacts, failed fits and systematic assay problems using quantitative and biophysical reasoning. \nDefine reproducible QC criteria and scalable triage processes beyond manual review. \n4. Dataset construction and model integration, including areas such as\nConvert heterogeneous experimental outputs into traceable, model-ready datasets with appropriate metadata and provenance. \nWork with computational researchers to prioritize systems, evaluate model predictions and design informative follow-up experiments. \nUse basic scripting and data-analysis tools to organize, inspect and summarize experimental datasets. \n5. Collaboration and research impact, including areas such as\nCommunicate experimental findings, limitations and risks to biological and computational collaborators. \nDrive projects from ambiguous questions to usable datasets, scientific conclusions and publications. \nContribute to the experimental data strategy for future BioEmu models.\nQualifications\nRequired/Minimum Qualifications:\nPhD in Biology, Biophysics, Biochemistry, Molecular Biology, Protein Science, Bioengineering, Computational Biology, Molecular Modelling, or a related field, with experience designing, conducting, or analyzing biomolecular experiments and/or computational studies.\n\nStrong quantitative understanding of experimental measurements and their limitations.\n\nAbility to coordinate complex projects and communicate clearly across experimental and computational teams.\n\nExperience working with real-world biological, structural or biophysical datasets.\n\nAbility to independently own and deliver research projects.\n\nPreferred/Additional Qualifications:\nExperience managing CROs, vendorsor distributed experimental collaborations.\nExpertisein protein-protein interactions, binder design, affinity optimizationorhigh-throughput assay development. Familiar with techniquessuch as protein expression and purification, binding assays (SPR, BLI, ITC, cryo-EM), structural biology (X-ray crystallography, NMR), Mass Spec (HDX-MS, Cross-link Mass Spec).\nPractical Python or equivalent scripting skills for data analysis, QCand workflow automation.\nExperience in designing, curatingor standardizing datasets for machine-learning applications.Interest in model-guided experimental design, drug discoveryor therapeutic applications.\nThe base pay for this internship is € 8,191.00 per month. Certain roles may be eligible for benefits and other compensation.\nFind additional benefits and pay information here:\nhttps://careers.microsoft.com/v2/global/en/corporate-pay/interns-corporate-pay.html\nThe base pay for this internship is £ 6,655.00 per month. Certain roles may be eligible for benefits and other compensation. \nFind additional benefits and pay information here:\nhttps://careers.microsoft.com/v2/global/en/corporate-pay/interns-corporate-pay.html\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.","description_format":"text","description_chars":6757,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Console Games","Cloud Platforms (IaaS & PaaS)","Gaming Consoles","Developer Tools"],"lifecycle":[{"event":"open","at":"2026-10-08T10:18:43Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.468,"p_room":0.55,"age_days":20,"expected_fill_days":14,"reasons":["conf:1","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":109956,"is_top_pay":false},"html_url":"https://alion.io/job/microsoft-postdoctoral-researcher-experimental-data-generation-cro-strategy","json_url":"https://alion.io/job/microsoft-postdoctoral-researcher-experimental-data-generation-cro-strategy.json","meta":{"generated_at":"2026-10-13T18:08:26Z","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":27711,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":18},"rest":"https://alion.io/mcp/rest/get_company?id=18"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmicrosoft-postdoctoral-researcher-experimental-data-generation-cro-strategy"},{"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%2Fmicrosoft-postdoctoral-researcher-experimental-data-generation-cro-strategy"},{"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%2Fmicrosoft-postdoctoral-researcher-experimental-data-generation-cro-strategy"},{"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/microsoft-postdoctoral-researcher-experimental-data-generation-cro-strategy\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmicrosoft-postdoctoral-researcher-experimental-data-generation-cro-strategy"}]}