Sökresultat för "statistical analysis"

About the company: Navinci is a Swedish biotech company developing innovative technologies to study protein interactions in their native spatial context, with a strong legacy in in situ proximity ligation assay technology and a broad portfolio of products for spatial proteomics. About the role: We are looking for a Senior Data Scientist in image analysis to join Navinci and build scalable, automated pipelines for spatial interactomics. You will take strong ownership in designing and advancing computational methods, with a focus on creating robust, reproducible workflows that incorporate rigorous quality control and leverage deep learning to address complex biological questions. The work will support both internal R&D and external collaborations. You will be part of a highly skilled, and growing team, playing a key role in advancing pipeline development and computational innovation. The role requires both independent problem-solving and effective collaboration in a dynamic environment, helping position Navinci at the forefront of spatial biology and emerging AI technologies. Key Responsibilities Design, develop, and maintain scalable, automated analysis pipelines and reproducible workflows with robust quality control for spatial interactomics data. Develop novel computational methods and apply deep learning to address complex biological questions and enable new analysis capabilities. Build internal tools and contribute to best practices in pipeline design, reproducibility, and code quality. Collaborate with multidisciplinary teams and external partners to translate biological problems into computational solutions. Mentor and guide junior team members while contributing to a collaborative, adaptive, and high-performing team environment. Work effectively in a dynamic environment with adaptability, independence, and strong collaboration, while staying current with advances in spatial omics and AI (e.g., agentic/LLM-based workflows). Qualifications Required: PhD in Computational Biology, Bioinformatics, Computer Vision, or a related field (or equivalent industry experience). Strong understanding of spatial omics data and associated analysis challenges. Demonstrated ability to design and develop robust, reproducible computational methods and pipelines, including components such as image processing, clustering, spatial analysis, statistical analysis and data visualization. Strong proficiency in Python, with experience developing production-quality code for data analysis and pipeline development. Proven, hands-on experience in developing and applying deep learning models, using machine learning frameworks (e.g., PyTorch, Scikit-learn). Ability to independently solve complex, open-ended problems. Strong communication and collaboration skills in interdisciplinary environments. Preferred: Industry experience in image analysis methods and/or pipeline development is a strong plus. Experience with agentic workflows, AI agents, or LLM-based systems. Experience applying best practices in scientific programming and/or software engineering (e.g., testing, debugging, version control, CI/CD). Experience with GPU programming and performance optimization. Experience with high-throughput computing such as HPC or cloud computing. Experience with tool development, UI/UX, or containerization (e.g., Docker). What We Offer Opportunity to shape scientific direction in a cutting-edge company. Agile teams with fast decision-making and direct impact. Dynamic environment with growth and leadership potential. Close collaboration across R&D, product, and commercial teams. Applications will be reviewed on a rolling basis.

Gnothis AB is seeking for a skilled Software Engineer who enjoys building experimental systems in a laboratory environment. This is a permanent position based at our HQ, located at the campus of Stockholm University (Stockholm, Sweden). Gnothis, founded in 2015 and supported by highly innovative industrial professionals and technology developers, is on a mission to develop a new frontier for single molecule DNA sequencing; to break the mold on how sequencing is used as a clinical tool for the diagnosis of complex diseases. Gnothis technology integrates a wide range of cutting-edge sciences ranging from nanotechnology, photophysics, optics, surface chemistry, biochemistry and computational science. Our instrumentation, software and analysis team currently consists of four engineers and we are now expanding the team as we scale development of the system. We are seeking for an engineer with strong data analysis and scientific programming experience to develop our DNA sequencing data analysis pipeline. The role combines algorithm development, image analysis, and scientific data exploration, working closely with our instrumentation and biochemistry teams. The work involves analyzing experimental data from our microscopy-based sequencing platform and developing the automated analysis pipeline that converts raw microscopy data into DNA sequencing results. The position is part of a multidisciplinary team developing a prototype DNA sequencing instrument combining microscopy, microfluidics, nanofabrication and advanced data analysis. Initial Project The initial assignment will be to continuously analyze the latest experimental data from the lab in close collaboration with the biochemistry and instrument teams. This means developing new analysis algorithms, critically reviewing results together with the team, and driving experiment design to better address the research questions. The work includes analyzing fluorescence microscopy data, developing algorithms for tasks such as peak detection and classification, and translating manual analysis workflows into automated pipelines using Python and Airflow. We are seeking for the right candidate who can make confident decisions based on previous experiences connected to laboratory environments (eg. development of diagnostic software tools and/or processing of fluorescence microscopy raw data). Responsibilities Develop algorithms and analysis methods for microscopy-based sequencing data Implement automated analysis pipelines in Python and Airflow Perform exploratory analysis of experimental datasets and extract meaningful insights Collaborate closely with instrumentation and biochemistry teams to interpret results and improve experiments Develop tools for data visualization, evaluation and reporting Contribute to building a robust and scalable DNA sequencing analysis workflow. Candidate Profile For you to enjoy performing expected activities, and being a valuable member in an ambitious and innovative team; we think you are an engineer or scientist with strong experience in scientific programming and data analysis. This role suits someone who enjoys working deeply with experimental datasets and extracting insight through algorithm development, statistical analysis and careful data interpretation. The candidate should be comfortable working independently with complex datasets and driving the development of analysis methods in collaboration with a small multidisciplinary team. Relevant backgrounds and skills include: Master of Science and/or Ph.D educational background – ideally combined with a relevant Life Science focus. Python programming for scientific computing Image analysis and signal processing Microscopy or fluorescence imaging data Statistics and experimental data analysis Scientific visualization and reporting DNA sequencing or genomics data A PhD with strong experience in microscopy data, sequencing data, or similar experimental datasets is highly preferred. Gnothis offer a creative environment focused on technology and product development, a competitive compensation package and plenty of room for self-development as the company expands. This is a permanent position (not consultant assignment). If above sounds like an exciting opportunity and you would like to hear more, do not hesitate and submit your application and we will get back to you! Gnothis AB on LinkedIn: https://www.linkedin.com/company/gnothis/posts/?feedView=all For inquires please email us at: markus.dahl@valleyrecruitment.se

The Senior Engineer of Material Development will lead the evaluation, analysis, and optimization of Li battery cells and related materials. This role involves providing technical leadership, guiding junior engineers, and ensuring the successful execution of evaluation activities that support both R&D and commercial cell development. The position requires a deep understanding of material behaviour, electrochemical performance, and cell integration to drive continuous improvement in product performance and reliability. Key Responsibilities Overall areas of responsibilities and activities Key responsibilities include (but are not limited to) Lead and oversee material and cell-level evaluation activities, including electrochemical performance testing, material characterization, and failure analysis. Develop and refine evaluation methodologies, standard test protocols, and data analysis frameworks to ensure consistency and technical rigor. Interpret complex analytical and electrochemical data to identify key performance drivers and recommend technical improvements. Provide technical guidance and mentorship to junior engineers and assist in the prioritization and execution of project tasks. Collaborate closely with cross-functional teams—cell design, process engineering, and quality assurance—to align evaluation results with design and manufacturing objectives. Manage multiple evaluation tasks or projects, ensuring timely delivery of high-quality results and documentation. Contribute to long-term strategy and roadmap development by identifying material or process-related risks and opportunities for improvement. Communicate findings effectively to management and R&D stakeholders through reports, reviews, and technical presentations. Stay updated on advancements in Li battery technology, materials science, and analytical techniques, and apply relevant insights to ongoing projects. Requirements Educational background and previous experience required for the role Qualifications and Experience BSc or higher degrees in Chemical/Material/Electrical Engineering, and Chemistry. Extensive experience in Li battery evaluation, materials analysis, or related R&D areas. Preferably 5+ years industrial experience. Proven expertise in electrochemical analysis, material characterization, and data-driven problem solving. Strong leadership, mentoring, and communication skills with the ability to coordinate multi-functional teams. Capable of translating analytical findings into actionable engineering insights and project recommendations. High level of self-direction, accountability, and technical judgment in complex problem-solving scenarios. Specific skills Advanced analytical capability in using EIS, GITT, GCPL, and high-precision cycling methods. Experience with material analysis tools (SEM/EDS, XPS, ICP, TGA/DSC). Ability to design experiments and establish evaluation protocols. Strong statistical and data interpretation skills for performance trend analysis. Skilled in using data visualization and statistical analysis software. Personal success factors Strong ownership of tasks and ability to work independently. Proactive approach to identifying and solving technical issues. Clear and persuasive communication across functions. Commitment to mentoring and sharing technical knowledge. Balanced focus on both immediate problem-solving and process improvement.

Job Scope High level purpose of function.  Responsible for the development, validation, and execution of the methods used for material analysis, including incoming material, intermediate, and finalized products for Research & Development and Production on a wide range of instruments. Strict adherence to the principles of Quality Assurance in Quality Control (QA/QC). Proven track record in statistical analysis and measurement system analysis (MSA).  Key Responsibilities Overall areas of responsibilities and activities. Key responsibilities include (but are not limited to)  Responsible for a set of instrumentation or measurement systems. This involves, but not limited to, coordinating maintenance and troubleshooting, writing support documentation, training and qualifying personnel, performing method development and validation.   Understand and internalize QA/QC principles in everyday functions.   Conduct analysis on a wide range of instruments and report data/results for a diverse set of samples.   Execute the Quality Control and testing plan of material and components.  Maintaining instruments and measurement areas to a high standard, involving ownership of room(s)/area(s) to drive safety related topics, ensure 5S, maintain consumable inventory and standards/reference samples. Work across many parts of the organization, collaborating with R&D technical team, Process Quality Engineering, Process Engineering, Supply Chain, IT & automation.   Drive operational excellence and investigations by being a key player in problem solving and process improvement exercises.   Accountability/Authorization Budget responsibility: No  Direct reports: No  Work Environment responsibility: No All employees are accountable for complying with safety regulations and actively supporting a safe workplace. Requirements Educational background and previous experience required for the role. Qualifications and experience  Minimum MSc degree or Bachelor’s degree with 5+ years of work experience in a laboratory, in Chemistry, Material or Mechanical Engineering. 3+ years of relevant work experience in relevant laboratory environment.   Experience of laboratory work in relevant industries such as, e.g. Li-ion materials, Pharmaceutical, Food and Paper industries or automotive industries.   Experience in developing methods, standards, procedures, and documentation in an efficient way.   Familiarity with Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), Control Plan (CP), Lean, Six Sigma , Quality troubleshooting tools and problem-solving methodology.     Specific skills & Knowledge Specific knowledge in any relevant instrumentation, measurement system, or scientific field used by the company. Knowledgeable in Laboratory Information Management System (LIMS), quality management systems, e.g. ISO 9001, IATF16949, Total Quality Management (TQM).   Project management skills and a successful track record of leading quality projects in a laboratory environment.   Excellent English skills, both written and oral, are essential. Basic Swedish and other language skills are a plus. You should have good communication skills and be able to work in close collaboration with colleagues from many different teams.

We are looking for an individual with the right combination of skills and experience to support our research focused on the strategy, design, and implementation of pharmacoepidemiologic and other regulatory-grade real-world evidence (RWE) studies. In this role, you will provide leadership in causal inference methods, including target trial emulation, and guide the design and implementation of these research activities, ensuring robust application of causal inference throughout the research process. You will: • Lead the development of study protocols and contribute to statistical analysis plans. • Review analytical outputs, interpret results, and develop study reports and manuscripts. • Lead proposal development and oversee project delivery from initiation to completion. • Mentor colleagues and contribute to the development of internal scientific capabilities. • Support interactions with clients and research partners throughout the research lifecycle. To be successful in this role, you will possess: • Strong written, verbal, and presentation skills, with the ability to communicate effectively in a collaborative, cross-functional environment. • The ability to establish and maintain effective working relationships with research and operations staff, partners, and clients across multiple locations and under tight timelines. • Experience leading projects, including document writing, budget planning, proposal development, and project communications, and the ability to support other project leads when needed. What You'll Need • PhD in Epidemiology or equivalent, life sciences background, computational/AI epidemiology highly valued • At least 10 years of experience in the field of pharmacoepidemiology/ regulatory grade RWE with publications in peer reviewed journals and participation in professional societies, and working groups • Solid training in causal inference with evidence of applied research leadership and implementation with publications in peer reviewed journals and participation in professional societies, working groups and networks • Demonstrated understanding of good pharmacoepidemiology/RWE practice and international research networks in pharmacoepidemiology • Ability to perform duties that require close attention to detail. • Experience working within or with pharmaceutical companies or within an established pharmacoepidemiology research organization is highly valued. • Working language is English, additional languages valued

Are you detail-oriented, analytical, and enjoy combining hands-on work with data analysis? Would you like to work in an international environment where sensory science contributes to the development of future products? If so, this could be the role for you. We are currently looking for a Sensory Analyst & Panel Technician for BAT in Malmö. In this varied role, you will combine hands-on support for daily sensory panel operations (40%) with planning, conducting, and analyzing sensory studies together with Sensory Scientists (50%). The remaining 10% of the role focuses on identifying opportunities to enhance sensory operations through AI and digitalization. You will be based onsite in Malmö while collaborating with a global sensory team on projects across the world. This is an ongoingfull-time consulting assignment through Adecco with a desired start date of September 1st. Your responsibilities As a Sensory Analyst & Panel Technician, you will support both the operational and analytical aspects of sensory research. Your responsibilities include: Supporting the daily operations of multiple sensory panels by preparing samples, communicating with panellists, moderating panel sessions and training activities, and handling administrative and data-related tasks. Managing sensory projects end-to-end together with Sensory Scientists, from planning and sample coordination to execution and reporting. Designing experiments (DOE), programming questionnaires, and ensuring studies are conducted according to approved protocols and timelines. Analyzing and interpreting sensory data, preparing reports, and communicating results and insights to internal stakeholders. Managing a high volume of incoming testing requests while coordinating schedules based on business priorities and operational requirements. Building a strong understanding of the company´s product categories to identify trends and generate valuable insights across projects. Supporting the implementation of AI, digital tools, and continuous improvements to standardize and enhance sensory operations. Who are you? To succeed in this role, you are structured, detail-oriented, and enjoy balancing hands-on laboratory work with analytical tasks. You work systematically, manage multiple projects simultaneously, and adapt easily to changing priorities. You enjoy statistical analysis, survey programming, and transforming data into meaningful insights. You are also a strong communicator who builds professional relationships with both internal stakeholders and more than 50 panelists. Finally, you enjoy driving projects from start to finish and are motivated by continuous improvement. You have an eye for consistency and enjoy identifying opportunities to standardize processes and develop new ways of working together with colleagues across Sweden and globally. Qualifications We are looking for someone who has: A bachelor’s degree in Sensory Science, Food Science, Statistics, Marketing Research, or another relevant field. Excellent written and spoken English. Good knowledge of Microsoft Office, particularly Excel, Outlook, PowerPoint, and Copilot. It is considered an advantage if you have: Experience designing and conducting sensory studies, consumer research, or clinical research. Experience with survey programming or basic programming. Experience with statistical analysis and reporting. Proficiency in Swedish. Practical information Ongoing full-time consulting assignment through Adecco, based in Malmö. Monday to Friday, with working hours of 9:30 AM–5:30 PM during panel sessions and 9:00 AM–5:00 PM on other days. The role is primarily based onsite in Malmö, with some flexibility to work from home, depending on business needs. Contact details Background checks as well as drug and alcohol testing will be conducted as part of the recruitment process. If you have any questions regarding the position or the recruitment process, please contact the responsible recruiter: Artemis Nikpour via artemis.nikpour@adecco.se If you have any questions regarding registration, please contact Adecco Support at info@adecco.se. We look forward to receiving your application!

Lyten Labs is seeking a talented Analytical Chemist. As Analytical Chemist you are responsible for the development, validation, and implementation of analytical methods for analysing incoming material, intermediate and finalized products for Research & Development, Production, and external suppliers on a wide range of instruments. Strict adherence to the principles of Quality Assurance, Quality Control, and Quality Management System requirements (ISO 9001, IATF 16949, ISO- IEC 17025, etc.). Proven track record in statistical analysis and measurement system analysis (MSA). Participating in problem solving, technical troubleshooting exercises, and technical discussions where needed. Mentoring and training for technicians. Key responsibilities (not limited to) Develop, validate and document analytical methods and procedures for analyzing and characterizing new incoming and raw materials and product intermediates. Optimize analytical methods to increase efficiency and turn-around time of the laboratory. Execute the Quality Control and testing plan of raw materials and product intermediates. Troubleshoot and maintain the analytical instruments to a high standard. Understand and internalize QA/QC principles in everyday functions. Work across many parts of the organization, collaborating with production teams, Process engineering in R&D and production, Supply Chain, IT & automation. Start-up of first analytical methods and instruments. Specific expertise in ICP-OES/MS, ED-XRF, XRD, SEM-EDX, Titration, TGA/DSC, etc. Qualifications/education/experience MSc or PhD degree in Chemistry, preferably, Analytical Chemistry. 5+ years of relevant work experience in a laboratory environment. Specific knowledge of quality management systems, e.g. ISO 9001, IATF 16949, and ISO- IEC 17025. Experience in developing and validating analytical methods, standards, procedures and documentation in an efficient way. Project management skills and a successful track record of leading quality projects in a laboratory environment. Knowledgeable in Lean and six sigma. Familiar with SPC, FMEA, Quality troubleshooting tools and problem-solving methodology. Curious, technically educated and preferably with a strong business background.

PhD Position in Ruminant Nutrition and Sustainable Dairy Production Subject area: Animal Science Project description Forage-based feeds are central to Swedish dairy production, and their protein content and degradability can influence nitrogen utilization, feed intake, and milk yield. The aim of this PhD project is to investigate nutritional strategies to improve nitrogen use efficiency in dairy cows. The project will include feeding trials with dairy cows as well as analyses of feed, milk, and other biological samples to quantify nitrogen flows and evaluate how diet composition affects nitrogen utilization. Duties The PhD student will participate in all stages of the research process. Duties include planning and conducting feeding trials with dairy cows, sampling and analysis of biological materials, processing and statistical analysis of experimental data, and publishing and presenting research results in scientific journals and at conferences. The successful candidate will also participate in doctoral courses and contribute to departmental activities. Work outside regular office hours may occur. Eligibility Applicants must hold a Master's degree in Animal Science, Veterinary Medicine, Biology, or a related field. Applicants must also demonstrate proficiency in English equivalent to Swedish upper secondary school English B/English 6. Qualifications We are looking for a highly motivated candidate with a strong interest in sustainable livestock production and research in ruminant nutrition, environmental impacts, and production systems. The candidate should have good interpersonal skills and the ability to work both independently and collaboratively. Requirements Excellent written and spoken English communication skills. Valid Category B driving licence. Meritorious qualifications Interest in, and preferably experience working with cattle. Documented experience in data collection, processing, and management of data from animal feeding trials. Experience with wet chemistry methods for feed analysis. Great emphasis will be placed on personal qualities such as initiative, attention to detail, and commitment to research. Applicants are requested to attach their Master’s thesis to the application. References from previous academic supervisors, for example from BSc or MSc thesis projects, are highly desirable. About us The mission of our department is to promote good animal husbandry, animal welfare, and sustainable food production with high product quality through research and education on animals, with a focus on feed and nutrition, management and environment, ethology and animal ethics, animal welfare, and animal protection. We have approximately 125 employees working in Uppsala, Skara, Umeå, and Gothenburg. As a doctoral student, you will be part of a creative and stimulating environment with opportunities for networking with both industry partners and international collaborators. More information about the department: Department of Applied Animal Science and Welfare Read more about our benefits and what it is like to work at SLU: https://www.slu.se/en/about-slu/work-at-slu/ Read more about doctoral education at SLU:https://www.slu.se/en/study/programmes-courses/doctoral-education/ Employment and salary The position is a full-time doctoral studentship comprising four years of postgraduate education. Salary is determined according to the local collective agreement for doctoral students, with fixed salary progression levels. Scope 100% full-time. Location Uppsala, Sweden. Starting date By agreement, but no later than 15 October 2026. Application deadline: 2026-08-10

This is a temporary consultant position as Laboratory Engineer full time for 6 months in the Mölndal office. After this there might potentially be openings to extend the contract. In the role as a Laboratory Engineer, the you will be faced with various tasks, both practical and theoretical.  Team Baby works with baby diapers and materials to ensure high product quality and performance. Our work focuses primarily on hands-on product testing rather than molecular-level analysis. We are a diverse team of 9 persons with a wide range of educational backgrounds and professional experiences. This strengthens our ability to understand product performance from multiple angles and continuously improve the solutions we deliver for our customers.This role will enable to further develop and strengthen competencies such as project skills, method development and statistical analysis.  Responsibilities Participating in innovation projects, value engineering and business support activities. Planning, testing, analyzing and statistically evaluating different development products and solutions. Present, document and report test results which includes to give clear recommendations to stakeholders. Developing, evaluating, and validating new laboratory methods. Who we are looking for Technical university degree, Material or Chemistry Engineering desired but not essential. Have previous experience working within a laboratory environment. Experience with statistical analysis. Good communication and documentation skills, in English. Someone curious that likes the combination of practical and theoretical tasks in a laboratory environment. Comfortable to work with a variety of laboratory methods, tasks and processes. Enjoy working in a fast-paced environment. Likes to collaborate, interact, and drive activities to reach a goal. Flexibility when working on projects to complete tasks on their own, or in collaboration with other individuals. Someone that wants to be part of a team focused on innovating products to help break barriers in well-being.

We are looking for a Junior Laboratory Engineer for a global company in Mölndal outside Gothenburg. Start is March 9th, 6 months contract to begin with, This role is 100% onsite in the Mölndal office. In the role as a Laboratory Engineer, the you will be faced with various tasks, both practical and theoretical.  Team Baby works with baby diapers and materials to ensure high product quality and performance. Our work focuses primarily on hands-on product testing rather than molecular-level analysis. We are a diverse team of 9 persons with a wide range of educational backgrounds and professional experiences. This strengthens our ability to understand product performance from multiple angles and continuously improve the solutions we deliver for our customers.This role will enable to further develop and strengthen competencies such as project skills, method development and statistical analysis.  Responsibilities Participating in innovation projects, value engineering and business support activities. Planning, testing, analyzing and statistically evaluating different development products and solutions. Present, document and report test results which includes to give clear recommendations to stakeholders. Developing, evaluating, and validating new laboratory methods. Who we are looking for Technical university degree, Material or Chemistry Engineering desired but not essential. Have previous experience working within a laboratory environment. Experience with statistical analysis. Good communication and documentation skills, in English. Someone curious that likes the combination of practical and theoretical tasks in a laboratory environment. Comfortable to work with a variety of laboratory methods, tasks and processes. Enjoy working in a fast-paced environment. Likes to collaborate, interact, and drive activities to reach a goal. Flexibility when working on projects to complete tasks on their own, or in collaboration with other individuals. Someone that wants to be part of a team focused on innovating products to help break barriers in well-being. This is a full-time consultant position in Mölndal through Incluso. Start is March 9th, 6 months limited contract to begin with, with possibility of extension after that. This role is 100% onsite in Mölndal.  Please submit your CV as soon as possible since we will review the applications on an on-going basis. For more information about this role, please contact Marianne Nilsson recruiter at Incluso.

Do you want to take technical ownership of advanced measurement systems in a research-intensive technology company? At Exeger, you will play a key role in developing the systems used to characterize and quality-assure the company's unique solar cell technology. This specialist role combines electronics, software and data analysis, giving you the opportunity to work closely with both research and production while joining a company in an exciting growth phase. Job description: As a characterization engineer, you will be the technical owner of Exeger's advanced measurement systems used for the electrical characterization and quality assurance of the company's solar cell technology. You will be responsible for ensuring that the systems operate reliably and deliver accurate and repeatable measurement results. The role spans both hardware and software and involves close collaboration with researchers, development engineers and production teams. As Exeger continues to scale its operations, the measurement systems evolve alongside the business. This gives you the opportunity to influence how they are developed and utilized as part of the company's continued industrialization. You will be part of the development team, where research, product development and manufacturing work closely together. Here, you will collaborate with experienced colleagues and leading experts in solar cell technology and measurement systems in an environment where knowledge sharing and cross-functional collaboration are part of everyday work. Your responsibilities will include: Technical ownership of Exeger's electrical characterization systems. Developing and improving measurement methods and test recipes to ensure accuracy and repeatability. Troubleshooting, maintaining and further developing electronics, instrumentation and software. Programming and further developing functionality in Python. Collecting, analysing and quality-assuring large volumes of measurement data. Participating in the installation and commissioning of new measurement stations. Collaborating across teams to improve systems and working methods. Ideal candidate: To succeed in this role, you have: A PhD, or an MSc degree combined with relevant experience. Several years of experience working with electronic components or electrical measurement systems. Strong programming skills, preferably in Python. Fluency in English, both written and spoken, as it is the company's working language. It is considered a plus if you have: Experience with IV characterization or other photoelectrical measurement methods. Experience from the semiconductor industry or another high-tech manufacturing environment. Experience with LabVIEW, JMP or similar software. Experience in statistical analysis and method development. As a person, you are analytical, detail-oriented and methodical, with a genuine interest in understanding complex technical systems. You are motivated by developing, improving and optimizing technical solutions, enjoy working independently and are comfortable taking long-term technical ownership. At the same time, you are communicative and enjoy sharing your knowledge with colleagues across Research, Development and Production. About the client company: Exeger is a Swedish deep-tech company developing and manufacturing innovative energy solutions for consumer electronics. With research, product development and manufacturing all based in Stockholm, the company has developed the patented solar cell technology Powerfoyle, which converts both natural and artificial light into electrical energy. By combining scientific research, engineering excellence and large-scale manufacturing, Exeger develops technology that makes electronics more sustainable and user-friendly. Today, the company collaborates with some of the world's leading brands and continues to scale its operations with the ambition of making self-powered products a natural part of everyday life. Employment: This is a consulting assignment, meaning you will initially be employed by Friday. The ambition of both Friday and Exeger is for the assignment to transition into a permanent position with Exeger after an initial consultancy period. A background check will be conducted as part of the recruitment process. Additional information:Employment type: Full-time Start date: By agreement Location: Stockholm Salary: Fixed monthly Point of contact: Hedvig Svärd, Hedvig.svard@Friday.se We review applications continuously. The recruitment process will resume after the summer, but we encourage you to submit your application today. Apply by clicking the link below. Please note that we do not accept applications via email. About Friday: By being a partner to our clients and candidates, we strive to find the best match for both parties. We achieve this by really getting to know our clients' and candidates' needs. Of course, we ensure that requirements and skill sets match, but above all, we focus on finding harmony between values and company culture that both the candidate and the client consider optimal. Our passion is helping people find the right position, workplace and context within IT and Technology. That's why we founded Friday – to help you find the job that gives you that Friday feeling, every day. We believe people reach their full potential when they look forward to going to work every morning. Keywords: Characterization Engineer, Electrical Characterization Engineer, Measurement Engineer, Test Engineer, Electronics Engineer, Development Engineer, Semiconductor, Microelectronics, Measurement Systems, Python, LabVIEW.

The Senior Cell Design Engineer will lead the design and development of current and next-generation lithium-ion battery cells, supporting both product innovation and customer programs. The role is responsible for defining cell design strategies, executing development projects, and driving technical solutions from concept to commercialization Key Responsibilities Overall areas of responsibilities and activities Lead the design and development of lithium-ion battery cells for ESS, EV, and other applications. Develop and optimize cell architecture, electrode design, and material selection to achieve performance, energy density, lifetime, and cost targets. Define development strategies and DOE to support cell development and validation activities. Evaluate cell performance, reliability, and manufacturability through testing, analysis, and data-driven development. Support scale-up activities and ensure design compatibility with manufacturing processes. Lead technical development projects and coordinate cross-functional activities across R&D, manufacturing, quality, and program teams. Serve as the primary technical interface for customers and support customer development programs from concept to qualification. Drive battery development roadmaps and deliver project milestones aligned with customer and business requirements Requirements Educational background and previous experience required for the role Qualifications and Experience ​​• PhD or MSc in chemical engineering/Electrochemistry/chemistry/material science and engineering  •  Minimum 3 years of experience in the automotive industry. •  Minimum 8 years of experience in lithium-ion battery cell design and development • Extensive experience on cell design and development of Li-ion cells   •  Extensive experience in battery prototyping, validation, and scale-up activities •  Working knowledge of lithium-ion battery manufacturing and mass production processes • Working experience with OEM project for Li-ion battery cell/module business   •  Experience leading technical activities for customer-facing development programs • Strong background from technical culture and proven engineering excellence​  Specific skills ​Strong knowledge of lithium-ion battery materials, electrode design, and cell architecture. Experience with DOE, statistical analysis, and data-driven development methodologies. Excellent project management and technical problem-solving skills. Strong communication skills in English, both written and verbal. Ability to work effectively under tight timelines and changing priorities. Personal success factors Strong leadership and decision-making skills. Ability to drive technical development activities and deliver project milestones. Excellent collaboration and stakeholder management capabilities. Results-oriented mindset with a focus on quality and execution. Strong analytical and problem-solving skills. Ability to thrive in a fast-paced, international environment

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. Experience creating production-level data models with strong testing, and clear ownership across pipelines. Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. Deep curiosity about user behavior and what actually drives growth and retention Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions Build dashboards, alerts, and automated reporting to keep the team informed and aligned Monitor data quality and collaborate with engineering to maintain reliability Translate complex financial data into clear narratives for executive and board audiences Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! How we hire Fill out a short form and hop on a quick intro call with our recruiting team Walk through past work and real examples of your process Show us your Most Impressive Project Cross-functional interviews to meet more team members About your application Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. * Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. * Experience creating production-level data models with strong testing, and clear ownership across pipelines. * Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. * Deep curiosity about user behavior and what actually drives growth and retention * Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do * Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans * Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling * Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions * Build dashboards, alerts, and automated reporting to keep the team informed and aligned * Monitor data quality and collaborate with engineering to maintain reliability * Translate complex financial data into clear narratives for executive and board audiences * Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation OUR TECH STACK We're building with tools that both humans and AI love: * Frontend: React * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, Many LLM providers * DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! HOW WE HIRE 1. Fill out a short form and hop on a quick intro call with our recruiting team 2. Walk through past work and real examples of your process 3. Show us your Most Impressive Project 4. Cross-functional interviews to meet more team members About your application * Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. * We treat all candidates equally - if you’re interested please apply through our careers portal.

About the role At Navinci, we are passionate about understanding biology and disease at a deeper level. We develop technologies and applications that help researchers study proteins, signaling pathways, cellular biology, and molecular mechanisms directly in biological samples. Our work spans tissue and cell-based systems and increasingly combines information from multiple technologies and data types to generate richer biological insight. We collaborate with leading academic groups, biotech companies, and pharmaceutical partners worldwide to advance research and translational science. As we continue to grow, we are looking for 2–3 scientists with different backgrounds and expertise to join our R&D team. We are interested in people who are excited by science, enjoy solving complex problems, and want to contribute to the development of innovative research tools and technologies. Whether your background is in cell biology, tissue biology, spatial biology, immunology, biomarker research, assay development, translational science, omics technologies, or technology development, we would love to hear from you. What you will do Design, execute, optimize, and troubleshoot biological assays and laboratory experiments Analyze and interpret data, generate robust and reproducible results, and communicate clear conclusions Document experimental work according to quality standards and contribute to scientific decision-making Collaborate across R&D, Operations, and Commercial teams Support development of new applications, products, technologies, and improved ways of working Must-have qualifications MSc or PhD in Biotechnology, Molecular Biology, Cell Biology, Biochemistry, Immunology, Medical Science, or a related field Hands-on experience with immunofluorescence, immunohistochemistry (IHC), and other in situ staining and detection methods Experience working with both tissue samples and cell-based models Experience designing, executing, and troubleshooting biological experiments Strong skills in data analysis and presentation, experimental planning, and scientific documentation Fluent in English, written and spoken Experience in one or more of the following areas Cell culture and primary cell models RNA-based methods, transcriptomics, or other omics technologies Flow cytometry Multiplex imaging, microscopy, image analysis, or digital pathology Protein biomarker analysis and antibody-based assays Assay, application, or product development Translational research, biomarker discovery, or disease biology (e.g., oncology, immunology, neuroscience) Statistical analysis, automation, quality systems Industrial R&D, scientific publications, grant writing or patent-related activities Who you are Curious, innovative, and eager to solve scientific challenges Agile and adaptable, with the ability to work in a fast-moving environment Structured, organized, and committed to high scientific quality Hands-on, proactive, and solution-oriented Collaborative, supportive, and comfortable taking ownership of your work

We are looking for an Analytics Manager to join Wolt’s Courier and Logistics Analytics team! What you’ll be doing As an Analytics Manager at Wolt, you’ll take charge of the Courier and Logistics domain, balancing hands-on analytics work with people management responsibilities. Experience in pricing and/or supply management domains would be a significant advantage. In Wolt’s fast-paced, three-sided marketplace, you’ll find a demanding yet rewarding environment to support the business in it’s ambitious growth plans and hone your modern analytics skills. You will have the opportunity to… Lead and grow a team of data scientists Set the strategic direction for analytical work within the Courier and Logistics domain Establish a solid data and experimentation culture with your Product and operational stakeholders Coach your team and participate hands-on in developing new metrics and conducting analytical deep dives to drive the strategy for the business Uncover foundational causal relationships in our data that can help us to understand our business Drive strategic decision-making within the whole Courier Group This role combines scientific expertise with stakeholder engagement, placing you at the forefront of driving business outcomes. You will collaborate closely with the Product, Engineering, Design, and Operations teams to guide measurement strategies and tactical decisions, helping to expand the Wolt platform globally. Our humble expectations 6+ years of experience in a data science or analytics position 2+ years of experience in team leadership* with some flexibility depending on the candidate Expertise in statistical analysis, including hypothesis testing, experimentation, and regression analysis using statistical software packages in Python, Matlab, R, or equivalent Proficiency in writing structured and efficient SQL queries for large data sets Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach What we offer The online delivery platform that Wolt is scaling will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to develop your career in analytics! You have the chance to decide the ways of working: hybrid, at the office, or remote within Berlin, Stockholm, or Helsinki. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.