Food Scientist

Vulcanization Specialist

MSAT - Process Analytical Technology Scientist

ASC - Downstream Data Scientist

Machine Learning Scientist

Patent Engineer Product and Technology Intelligence

ASC - Data Scientist

Finance Data Scientist ( Business Systems Analyst)

Responsibilities:Technology Application Development: Lead the development and optimization of applications for our cultivated seafood technology, ensuring they meet high-quality standards and align with market needs.Research & Innovation: Conduct research to understand the properties and potential applications of cultivated seafood, identifying opportunities for innovation and improvement in the technology's applications.Process Optimization: Work closely with the R&D and production teams to guide the optimization of the cell culturing process for various applications based on product and market requirements, ensuring efficiency, consistency, and scalability.Technical Support: Provide technical support to clients, helping them understand and effectively use our cultivated seafood technology in their product development processes.Client Collaboration: Collaborate with clients to ensure the successful integration of our technology into their production processes, understanding their needs and ensuring our technology's applications meet their expectations.Sensory Evaluation: Design and conduct sensory evaluation tests to assess the quality and potential applications of products created using our technology.Regulatory Compliance: Coordinate with our Regulatory Affairs team to ensure all aspects of the technology's applications comply with relevant food safety and regulatory standards, maintaining accurate documentation and records.Cross-functional Collaboration: Collaborate closely with business development and production teams to align technology application development with business strategies and market demands.Continuous Improvement: Stay up-to-date with the latest advancements in food science and cell-culturing technologies, applying new knowledge to drive continuous improvement in our technology's applications.Requirements:Experience: 5-10 years of experience in food science, product development, or a related field, with a strong background in seafood product development.Education: Bachelor’s degree in Food Science, Food Technology, Biotechnology, or a related field. A Master’s or PhD is a plus.Prior experience with launching new products or categories is strongly preferred.Experience with owning and shaping a product in prior roles is strongly preferred.Exposure to seafood products is strongly preferred.Knowledge: In-depth understanding of food science principles, sensory evaluation techniques, and regulatory requirements. Experience with cell-culturing or alternative protein technologies is a plus.

Responsibilities:Lead Technology related innovation projects in collaboration with internal and external customers as well as suppliersIdentify customer requirements and translate them into specifications for company componentsDevelop & maintain interface to elastomer / compound makersExtend network and partnerships with suppliers, customers, and R&D institutionsAcquire and document Technology Know-How about the usage & application within the Semi-industry (lithography, inspection, deposition, etch, etc.)Link, consult and support the colleagues from the different Business Units, product management and development, simulation, production and test laboratory in elastomer topics within CompanyManage company elastomer portfolio and guide the qualification process for new elastomers and decide about the possible scope of application in vacuum valvesRequirements:MSc or PhD Degree as Materials Scientist, Chemist or equivalent, preferably with knowledge on elastomers or rubber materials C(FKM, FFKM, etc.)5+ years of relevant experience, in sealing- surfaces, systems, materials, favoured if within the semiconductor industryKnowledge on analytics and characterization of rubber compoundsGood network with research partners and ideally within the semiconductor industryPolymer chemistry, Rubber processing, Rubber testingUnderstanding of different cure system — sulfur, peroxide, phenol, diamineElastomer properties understandingCompression and transfer mouldingMould cleaning & maintenanceAnodization, Surface preparation for adhesive bondingCleanroom GMPUnderstand sealing applicationChemical instrumentation for FAEnglish and German speaker, any other language will be considered advantageousMust be available to travel globally to suppliers and customers facilities (10-20%)

Responsibilities:Aiding in setup and monitoring of bioprocess from 10L to 1000L bioreactors, especially operating associated sensors and analytical instruments.Acting as internal subject matter expert on all PAT instruments and associated data management pipelines.Leveraging process analytical data to identify opportunities for process optimization and improved control.Evaluation and selection of PAT equipment for streamlined process development and production.Collaboration with R&D, production and engineering teams to support day-to-day operations, product development, and regulatory needs.Lead investigations by analysing the data to identify anomalies, investigate their causes, and propose solutions.Understand the integration of PAT equipment requirements with electronic batch records to ensure all compliance and data monitoring needs are captured in manufacturing electronic documentation.Support other core PAT activities (e.g. preventative maintenance planning, system upgrades, periodic review, change management, deviation management, external agency/internal inspections).Requirements:3-5 years experience with animal cell culture in production reactors of at least 1 kLExperience with scaling animal cell processes from bench to production (10 to 1kL+ range), especially in PAT-led approaches for rapid, efficient scale-upProven experience independently designing and troubleshooting fermentation experiments using PAT approaches and instruments.Education:PhD. in Chemical Engineering, Biotechnology or related field + 5 years or M.S + 7 years of relevant industrial hands-on experienceSkills:Hands-on experience with PAT instruments and integration of sensors with bioreactor operations and control software is essential.In-depth knowledge of operation and optimization of in-line optical sensors, especially IR, for online monitoring and process control.Capable of working within a diverse team of internal and external stakeholdersStrong spoken and written English language skills.

Responsibilities:Formulate and lead multifaceted analytic studies against large volumes of data.Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Lead all data experiments tasked by the Data Science Team.Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develop methodology and processes for prioritization and scheduling of projects.Analyze problems and determine root causes.Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:As the successful candidate you will hold a Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.You will have 5-7 years of professional experience in related fieldYou will have Proficiency with one or more programming languages (Java, C++, Python, R, etc.)You will be able to demonstrate experience applying data science methods to real-world data problemsYou will also have experience in utilizing visualization tools to take advantage of the growing volume of available information

Role Description:As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs The solutions developed by you will aid in building novel and meaningful graph-based community assets around the network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.Responsibilities: As a Machine Learning Scientist you will be responsible for:Creating innovative AI/ML solutions that enhance personalization for users, with a focus on ranking and recommendation algorithms.Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.Requirements:Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch. 

Responsibilities:As a Patent engineer Product & Technology Intelligence your focus will be to ensure the protection of company products and technologies.You will oversee the growth and maintenance of the various RRP, Conventional and other patent portfolios with a specific focus on Manufacturing.Specific Responsibilities Include:Actively define and implement a product and technology protection strategy.Catalyze the generation, identification and capturing of potential inventions, assess and value them, e.g. by scoring process, and recommend the protection mode.Drive the timely preparation and filing of invention disclosures with IP Law to meet relevant development timelines.Provide technical directions for the drafting and prosecution of patent applications to IP Law, ensuring accurate scope of the protection of the Smoke Free Products and other valuable inventions.Seek opportunities for identifying and capturing new inventions to broaden the protection scope.Ensure visibility and productive planning to overcome third party patent obstacles identified by IP Law, including coordinating and driving design-arounds and instructing technical teams on the path forward.Regularly report out monthly highlights and quarterly updates, giving insight into the Protection Coverage of the internal IP Portfolio.Requirements:Master’s degree or PhD in relevant subject: a driven and energetic engineer or scientist in a field that has substantial relevancy for the company Reduced Risk Product portfolio with a minimum of 4 years of experience in the industry.Demonstrable experience in engineering / science fields, Intellectual Property, Technology Management and Manufacturing Design, Creativity and Innovation Management in a multinational environment.It’s considered as a plus to be qualified or partly qualified as national or EP attorney.Ability to work in multi-functional and cross-cultural teams, know to deliver, to build bridges with various partners and know to communicate effectively.Capability to deal with ambiguity, sound judgement and diplomacy when delivering sophisticated and multifaceted messages.Fluency in English both verbal and in written form. Having knowledge of other languages is a plus.

Responsibilities:Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develops methodology and processes for prioritization and scheduling of projects.Analyzes problems and determines root causes.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields5-7 years of professional experienceProficient with one or more programming languages (Java, C++, Python, R, etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available informationData Scientist Qualifications / Skills:Advanced analytical knowledge of dataConducting big data analysisData conditioningProgramming advanced computingDeveloping algorithmsDeveloping software and data modelsExecuting predictive analytics

Responsibilities:Will be required to perform the following:Design, develop, and deploy scalable data-driven solutions using Flask, integrating with Microsoft SQL Server.Lead projects involving NLP, LLMs, and Generative AI, delivering innovative solutions.Collaborate with cross-functional teams to understand business needs and translate them into technical specifications.Conduct advanced statistical analysis and predictive modeling to extract actionable insights.Develop intuitive front-end interfaces to present complex data in an accessible manner.Maintain and enhance back-end systems for optimal performance and scalability.Mentor junior team members and contribute to knowledge sharing within the team.Stay abreast of emerging trends in AI, machine learning, and software development.Requirements:The successful candidate should hold a Bachelor’s degree in in Data Science, Computer Science, or a related field from a recognized and approved program.Should have at least 5 years experience in Natural Language Processing, and at least a few years’ experience in Large Language Models in addition to:At least 5 years of professional experience in data science and full-stack development.Proficiency in Flask, Microsoft SQL Server, and front-end technologies.Proven expertise in NLP, LLMs, and Generative AI.Strong foundation in statistics, machine learning, and algorithm design.Excellent problem-solving skills and ability to think algorithmically.Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders.

Role Description:We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions & Data Management Division of the Digital Finance Department.Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning & forecasting, performance management and the entire suite of digital solutions for the Finance Business line.Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC).The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization.The analyst will also lead implementation initiatives where required in addition to managing post implementation support.Responsibilities:Pursue a robust value centric methodology to identify valuable opportunities enabled by AI/ML, Predictive/Prescriptive Analytics, Generative AI, Chatbots and other technologiesleverage best practices to recommend and advocate transformation of finance functions with AI Conduct exploratory data analysis, leverage AI algorithms to derive value for finance functions, such as for forecasting, anomaly detection etc. Ideate AI solutions, develop scope, design and facilitate implementation of digital solutions, and coordinate change management Continuous upkeep and training of AI models to ensure integrity and traceability Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementationDevelop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformationLead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions.Requirements:As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required. You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred. 

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9 bioinformatics scientist Jobs found

Food Scientist

Vulcanization Specialist

MSAT - Process Analytical Technology Scientist

ASC - Downstream Data Scientist

Machine Learning Scientist

Patent Engineer Product and Technology Intelligence

ASC - Downstream Data Scientist

ASC - Data Scientist

Finance Data Scientist ( Business Systems Analyst)

WhiteCrow
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Skills

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Location

Jobtitle

9 bioinformatics scientist Jobs found

Food Scientist

Vulcanization Specialist

MSAT - Process Analytical Technology Scientist

ASC - Downstream Data Scientist

Machine Learning Scientist

Patent Engineer Product and Technology Intelligence

ASC - Downstream Data Scientist

ASC - Data Scientist

Finance Data Scientist ( Business Systems Analyst)

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

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JOBS BY CITY

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.