{"id":2496118,"url":"https://alion.io/job/technion-lab-engineer-research-associate-in-machine-learning-for-chemistry","title":"Lab Engineer /Research Associate in Machine Learning for Chemistry","company":{"id":722327,"name":"Technion","domain":"technion.ac.il","url":"https://alion.io/company/technion-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Haifa, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DVC","optional":false},{"name":"HPC","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"closed","first_seen_at":"2026-10-13T07:33:07Z","employer_posted_date":null,"last_verified_at":"2026-10-21T18:56:55Z","board_verified":false,"closed_at":"2026-10-21T18:56:55Z","days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Poranne Lab, Schulich Faculty of Chemistry, Technion Israel Institute of Technology\nAppointment: Full-time \nStart date: Flexible (preferably by early 2026)\nAbout the Lab:\nThe Poranne Group is a computational physical organic chemistry group that develops and applies machine learning methodologies to advance discovery and understanding in chemistry. Our research focuses on interpretable deep learning, molecular representations, and chemistry-aware models that connect data-driven insights with fundamental chemical understanding. The group operates at the interface of computational organic chemistry, machine/deep-learning, and data science. For more information, visit our website\nPosition Summary:\nWe are seeking a highly motivated Lab Engineer/Research Associate to take a leading role in our labs research activities. The successful candidate will be responsible for developing and applying machine learning models for molecular and physical systems and training graduate and undergraduate researchers.\nKey Responsibilities:\nConduct collaborative research in machine learning for chemistry and materials.\nDevelop interpretable ML architectures and model analysis tools for scientific data.\nSupervise and train graduate students and contribute to their technical and professional development.\nAssist in the writing of research articles, technical reports, and grant proposals.\nContribute to data curation, model implementation, and computational infrastructure management.\n\nRequirements: \n Essential qualifications:\nM.Sc. or Ph.D. in Computer Science, Computational Chemistry, Bioinformatics, Physics, or a related field.\nStrong proficiency in Python and key ML/scientific libraries (PyTorch, JAX, TensorFlow, NumPy, pandas, PyTorch Geometric, RDKit, etc.).\nSolid understanding of software engineering best practices (version control, testing, packaging, CI/CD).\nExperience with DevOps/MLOps tools (including Docker, Kubernetes, MLflow, DVC, etc.).\nDemonstrated experience applying ML to scientific or engineering data (e.g., molecular simulations, protein structures, reaction networks, spectroscopy, materials data).\nComfortable working in Linux-based development environments and with cloud/HPC systems.\nPreferred qualifications:\nExperience with AI models for molecules or materials (e.g., graph neural networks, equivariant networks, molecular transformers).\nFamiliarity with scientific data formats and repositories (PDB, PubChem, ChEMBL).\nExposure to computational chemistry or structural biology workflows.\nContributions to open-source scientific software or AI toolkits.\nStrong cross-disciplinary communication skills and intellectual curiosity.\nExperience mentoring students or coordinating research teams.\nInterest or experience in scientific writing.\nWhat We Offer:\nThe Schulich Faculty of Chemistry provides a vibrant and collaborative research community at one of Israels leading scientific institutions. \nThe Poranne Group offers access to state-of-the-art computational resources and a strong network of collaborations across chemistry, physics, and computer science. Our group provides a supportive and intellectually stimulating atmosphere, emphasizing creativity, rigor, and teamwork. In our group, you will enjoy the chance to shape next-generation tools to address problems at the intersection of AI, theory, and experiment, as well as the freedom to explore creative research directions aligned with the labs mission.\nSalary will be commensurate with qualifications and experience, following Technion guidelines.\nHow to Apply\nInterested candidates should submit the following materials to Prof. Renana Poranne:\nA cover letter describing research interests, experience, and motivation.\nCurriculum vitae (including publications).\nContact information for two or more references.\nApplications will be reviewed on a rolling basis until the position is filled.\n*This position is open to all candidates.\r\n\n המידע שיימסר על ידך ישמש את הטכניון – מכון טכנולוגי לישראל ו/או מי מטעמו, לצורך בחינת מועמדותך\r\n למשרה, לרבות מועמדות למשרות נוספות, וכן לצורך ניהול ותפעול הליכי הגיוס, ולמטרות נוספות בהתאם\r\n להודעת הפרטיות למועמדים למשרה בטכניון.\r\n\n לא חלה עליך חובה חוקית למסור את המידע, אולם אם תבחר/י שלא למסור את המידע, כולו או חלקו, ייתכן\r\n שלא ניתן יהיה לבחון את מועמדותך או את התאמתך למשרה.\r\n\n למידע נוסף, לרבות פירוט סוגי המידע הנאספים והשימושים הנעשים בו, זהות הגורמים שאליהם עשוי המידע\r\n להימסר, אופן מימוש זכויותיך לעיון ולתיקון מידע אישי, ודרכי יצירת קשר – ניתן לעיין בהודעת הפרטיות\r\n למועמדים למשרה, כפי שמפורסמת באתר הטכניון.\r\n\n הטכניון פועל לגיוון תעסוקתי ומעודד הגשת מועמדויות מכלל המגזרים\r\n\n التخنيون يعمل على تعددية التشغيل ويشجع التقديم للمناقصات من جميع الأوساط","description_format":"text","description_chars":4693,"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":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T04:33:07Z"},{"event":"close","at":"2026-10-21T18:56:55Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/technion-lab-engineer-research-associate-in-machine-learning-for-chemistry","json_url":"https://alion.io/job/technion-lab-engineer-research-associate-in-machine-learning-for-chemistry.json","meta":{"generated_at":"2026-10-22T16:34:54Z","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":16931,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":722327},"rest":"https://alion.io/mcp/rest/get_company?id=722327"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftechnion-lab-engineer-research-associate-in-machine-learning-for-chemistry"},{"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%2Ftechnion-lab-engineer-research-associate-in-machine-learning-for-chemistry"},{"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%2Ftechnion-lab-engineer-research-associate-in-machine-learning-for-chemistry"},{"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/technion-lab-engineer-research-associate-in-machine-learning-for-chemistry\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftechnion-lab-engineer-research-associate-in-machine-learning-for-chemistry"}]}