\nXilis, Inc. is a biotechnology company developing a precision oncology platform that guides treatment decisions for oncologists to improve cancer care outcomes for patients and supports drug discovery and development for pharmaceutical companies. Xilis, Inc. has been developing cutting-edge Patient-Derived Micro-OrganoSpheres (MOS) technology for precision cancer diagnostics and drug development in the Research Triangle Park in Durham, NC. Xilis’ transformative platform recreates patient-specific tumors in their 3D and environmental complexity at micro-scale ex vivo, allowing high-throughput, clinically relevant, and affordable experimental selection of the most effective drugs for every patient in a matter of days. The company aims to transform cancer care by ensuring every patient gets treated promptly with the most appropriate drug(s) available. We are supported in this mission by top Silicon Valley and New York venture firms that are leaders in the healthcare space with extensive experience in supporting precision medicine companies such as Foundation Medicine and Guardant Health.\n\n\nRole\nThe Data Science team drives all statistical, machine learning and data visualization approaches across Xilis (both in the Netherlands and the USA). In this role, you will help lead the data analysis in support of novel biopharma and clinical assays at the forefront of cancer therapeutics. You will help define, build, and scale up Xilis’ patient-derived 3D model platform toward drug development and immuno-oncology applications. This role will be embedded within the scientific team at Xilis BV, based in Utrecht, the Netherlands. As a founding member of the Netherlands data science team, you will be coordinating and working closely with the onsite laboratory staff as well as our existing international data science experts and will exert experimental design influences on the data you will be analyzing. As such the ideal candidate will have experience with driving data analytics independently, and also experience with cross-functional collaborations.  You will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics. You will characterize 3D biological systems longitudinally using diverse technologies such as flow cytometry, -omics or brightfield/confocal microscopy experiments. You will lead the design and implementation of pipelines and artificial intelligence algorithms that combine and harness multiple sources of data in order to extract biological and clinical insights.\n\n\nYou will work closely with experimental scientists, device engineers, R&D, business development, software and operations teams to deliver solutions to further precision oncology. You will be part of a fast-paced early-stage startup and have the opportunity to shape the overall direction of data science and product development.\n\n\n\nResponsibilities\n* Design and deploy advanced multimodal data fusion algorithms to solve pressing problems in immuno-oncology within Xilis’ AWS-based cloud computing environment\n* Rigorously and reproducibly support the design of experiments, perform the subsequent statistical analyses, and develop the necessary quality control metrics and processes to ensure oncology products’ success\n* Visualize and communicate complex data back to technical and non-technical audiences\n* Operate successfully in a rapidly changing, fast-paced, mission-driven environment\n* Participate in external meetings with scientific experts from partner organizations and field technical questions on the data science performed\n* Collaborate and co-develop products with our international Xilis R&D teams\n* Serve as a conduit between Xilis’ Data Science team and the Netherlands R&D team by running point on data analytics for the Netherlands site, while working within and contributing to the international data science team’s infrastructure and processes\n\n\n\nRequirements\n* Ph.D. in applied mathematics, computer science, data science, bioengineering/bioinformatics, or a related discipline with 8+ years of experience or MS with 10+ years of experience (Bonus: Industry experience in drug discovery or drug development)\n* Expert knowledge of machine learning and advanced statistical methodologies, including extensive work in computer vision\n* Extensive knowledge of molecular biology, cancer genomics, and understanding the impacts of wetlab protocols on data analytics\n* Expertise in Python, R and bash scripting, cloud computing (AWS preferred), ML operations/product lifecycle, git, CI/CD\n* Experience working with experimental scientists on Design of Experiment (DOE) (Bonus: Experience with high throughput drug screens, single-cell RNA-seq/NGS multiomics, flow cytometry, immune assays)\n* Excellent verbal and written communication skills to accurately convey complex technical information to non-technical stakeholders\n* Ability to work independently as an individual contributor in a fast-paced startup environment, delivering high-quality results under tight timelines (Bonus: Significant project management experience driving technical projects from conception to production environment with a focus on business value)\n* Strong team player able to work together with your team as well as cross-functionally and across institutions to accomplish your goals (Bonus:  successful collaborations in geographically dispersed teams)\n\n\n\n\n\nXilis was created when its three founders — an engineer, a physician, and a biologist — decided to come together and commercialize their technology to transform cancer care. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Furthermore, even if your work experience isn't perfectly aligned with what we've described above, if you're excited about what we're building then we want to talk to you!\nXilis offers comprehensive health, vision, dental & retirement plans, and unlimited PTO. We are a remote-friendly team: our headquarters are in Durham, North Carolina, but we have team members across the US (and beyond!). #LI-JL1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded and Cloud jobs that are similar:\n\n $50,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUtrecht

We value well-tested, reusable designs and expect our engineers to be as good of practitioners as they are leaders and teachers.  \n\nAbout This Role \n\nVery is a remote-first company, meaning we don’t have a physical office, and you can work from anywhere in the continental United States. Whether you feel like moving or not, you don’t have to change jobs. As a Senior Hardware Integrations Engineer, you will work with our Hardware Practice Lead and other hardware engineers to deliver high-value electro-mechanical system designs to our clients.  Our goal is to rethink and retool the hardware engineering process to align it with modern software, design and data science development methods (we’re already making headway thanks to an awesome framework called Nerves). For this role we’re looking for polymath engineers who are just as comfortable working in MCAD as they are with ECAD. Some of the traits we are looking for include: \nPrevious experience designing electro-mechanical systems (3+ years)\nKnowledge of Design for Manufacturing (DFM) practices for electrical and mechanical\nFamiliarity with:\n *Microprocessors, microcontrollers, IoT communications protocols, and common sensors\n *Hardware prototyping tools (3D printers, soldering, oscilloscopes, electronic loads, etc)\n *Low-level embedded firmware and/or embedded Linux\n *Data collection techniques  \n\nWhat You’ll Be Working On \n\nVery has been a remote company since before it became normal — 2011, to be exact. We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right. In 2020, we were named one of Inc’s Best Workplaces, Parity.org's Best Companies for Women to Advance List, and Fatherly’s Best Places to Work for Dads. Clients like Vizio, Clear, iHeartRadio, Complex Media, Shopkeep, and more come to us for answers to their thorniest questions. We bring them a world-class product team that delivers end-to-end IoT solutions. \n\nThe Hardware Integrations Engineer plays a key role in our multidisciplinary Agile development practice. Your responsibilities will include: \n\n * Driving our Agile practice through continuous pairing and idea generation with our team of Mechanical and Electrical engineers\n* Providing review and feedback of electrical schematics and board layouts, as well as CAD designs and 2D mechanical drawings\n * High-cadence rapid prototyping in order to build, test and break hardware early and often in the design cycle\n * Helping to develop an automated integration toolset to improve the speed at which Mechanical and Electrical changes can be reviewed and merged into the design\n * Interacting with clients and turning their vision into functional, manufacturable hardware\n * Owning the path to manufacturing on your programs by interacting with manufacturers, suppliers, and compliance testing labs on behalf of the client\n\nThe ideal candidate should have some mix of experience with the following:\n\n* Microprocessors and microcontrollers\n* Sensors\n* Soldering\n* Oscilloscopes, electronic loads, and other electronic test equipment\n* Electro-mechanical integration and assembly\n* Designing for and operating 3D printers\n* Electrical and mechanical design for manufacturing\n* Injection molding\n* IoT devices\n\nIn short, you'll spend your time ensuring that the hardware systems we ship for our clients meet the high quality level associated with the Very brand.\n\nOur Current Tooling \n\nOur IoT contracts usually involve a full service hardware and software solution. To bring the hardware from concept to reality we often use the following tools/languages: \n \n* KiCAD\n * Onshape\n * Voltera PCB Printer\n * FFF and SLA printers\n * Embedded C/C++\n * PlatformIO for embedded C/C++ projects\n * Python for scripting and build automation.\n * Github \n\nYou don't need to be an expert in all these tools, but, since you’ll be using them to prototype and test, familiarity is a plus.  Our multidisciplinary build teams are tight knit, and you will certainly encounter these stacks throughout your time here.\n\nRequired Qualifications \n\nUnfortunately, applicants who do not meet these criteria will not be considered.\n * BS or higher in a related engineering field (Electrical Engineering, Mechanical Engineering, etc)\n * 3+ years of relevant experience\n * Primary residence in the continental US (to facilitate overnight shipping to our clients and the majority of our team). \n\nHow You’ll Be Compensated \n\nDon't have your own lab equipment? Don't worry! Very is willing to help get you up and running. We’ll get you everything you need to set up a home lab and be effective in your role. This includes rapid prototyping tools, electrical test equipment, and the supplies needed to quickly build and test electro-mechanical prototypes. We believe in a transparent, fair compensation structure and have developed our own open salary formula. Depending on your skill and experience, you can expect your base compensation to be somewhere between $75,000 and $105,000 upon joining the company. We also offer performance bonuses, a generous maternity/paternity leave policy, 401K matching, and numerous other employee benefits including reimbursement for home office equipment.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Quality Assurance, Senior, Engineer, Full Stack and Python jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n