Scientist - Bioprocess Development

Lead Scientist - Media Development

Principal Data Scientist

Data Science Senior Manager, Measurement

Food Scientist Savory

Data Scientist

Senior Data Scientist

USPBA Data Scientist C12

Sr.Engineer - Backend

Business Development Manager

Responsibilities: <ul><li>Design and set up a bioreactor lab, including coordinating with vendors to qualify and procure bioreactors and supporting equipment</li><li>Perform experimental screening of bioprocess approaches at bench-scale to establish optimal processes and operating modes in line with future commercialization targets</li><li>Develop robust, iterative scale-down processes to maximize yield and process efficiency at benchtop (&lt;10L) scale</li><li>Define key process parameters for scale-up and develop analytical methods for continuous process monitoring and control</li><li>Collaborate with other teams and members of the bioprocess group on the development and implementation of robust and scalable bioprocesses for pilot production and technology transfer for GMP manufacturing</li><li>Align with senior leadership to implement critical decisions</li><li>Lead co-development partnerships to drive shared process development goals</li><li>Conduct rigorous experimental design, documentation, and data analysis&nbsp;</li><li>Provide concise and effective reporting on project deliverables and presentation of data</li><li>Evaluate processes and assumptions for potential improvements to efficiency and manufacturability, providing creative solutions to challenging technical problems</li></ul> Requirements: <ul><li>M.S. or PhD in a relevant field (Bioengineering, Chemical Engineering, Cell Biology, or equivalent</li><li>5+ years of industry experience (MS) or 3+ years of industry experience (PhD) in biotechnology, cell manufacturing or a relevant engineering field</li><li>2+ years of direct experience in lab to mid-scale (50-500L) animal cell culture in a process development environment</li><li>Experience with batch and fed-batch cell culture is essential; intensified or continuous process experience is a plus</li><li>Tech transfer experience is preferred</li><li>Experience with scale-down model development, predictive modeling, and model validation is a plus</li><li>Experience with high throughput bioreactor systems and automation is a plus</li><li>Track record of successfully leading small teams is strongly preferred</li><li>Strong track record of peer-reviewed publications is preferred</li><li>Demonstrated scientific rigor toward continuous improvement</li><li>Proficiency with Design of Experiments (DOE) methodology for bioprocess development, including experiment design and data analysis</li><li>Proficiency in engineering techniques, including quantitative modeling and mass balance</li><li>Basic scripting in relevant languages such as Python, R, SQL, etc.</li><li>Familiarity with mammalian metabolic pathways and proficiency in metabolic flux analysis is a plus</li><li>Understanding of a range of analytical chemistry techniques necessary to support process development</li><li>Ability to work in a fast-paced, dynamic environment and skills to prioritize and deliver against timelines</li><li>Strong troubleshooting and problem-solving skills</li><li>Excellent written and verbal communication skills, including strong command of the English language</li></ul>

Responsibilities <ul><li>Develop and optimize animal-component-free media formulations to support all relevant cell culture processes, including seed trains, proliferation, and differentiation</li><li>Develop specifications, procedures, and testing protocols for new media formulation development, validation, and quality control</li><li>Establish and execute high-throughput workflows to analyze media performance, collect metabolic data from our cell culture systems, and evaluate media formulations</li><li>Collaborate with suppliers to source components and materials for media development</li><li>Coordinate with other functional teams to define target criteria for media improvement, including improved product yield and quality and enhanced bioprocess performance</li><li>Build and manage a team of motivated, passionate scientists</li><li>Align with senior leadership to implement critical decisions</li><li>Conduct rigorous experimental design, documentation, and data analysis&nbsp;</li><li>Provide concise and effective reporting on project deliverables and presentation of data</li><li>Provide creative solutions to challenging technical problems and demonstrating critical thinking</li></ul> Requirements : <ul><li>M.S. or PhD in a relevant field (Biochemistry, Bioengineering, Chemical Engineering, Cell Biology, or equivalent</li><li>8+ years postgraduate (MS) or 6+ years post-doctoral experience in industry are preferred</li><li>Direct experience in development and optimization of novel mammalian cell culture medias and high-throughput screening systems, including assay development and execution</li><li>Proficiency with Design of Experiments (DOE) methodology for, including experiment design and data analysis</li><li>Experience with media development and optimization and familiarity with mammalian metabolic pathways</li><li>Track record of successfully leading small teams is strongly preferred</li><li>Strong track record of peer-reviewed publications is preferred</li><li>Demonstrated scientific rigor toward continuous improvement</li><li>Ability to work in a fast-paced, dynamic environment and skills to prioritize and deliver against timelines</li><li>Strong troubleshooting and problem-solving skills</li><li>Excellent written and verbal communication skills, including strong command of the English language</li><li>Statistical background to design, run, and evaluate DOE along with understanding pros/cons of different DOE approaches</li><li>Experience designing screening experiments via DOE, executing in high-throughput formats, and carrying out rigorous analysis of results</li><li>Proficiency in statistical analysis tools and data science for media analysis</li><li>Experience with common analytical methods for media development, including HPLC and LC-MS</li><li>Basic understanding of bioreactor operations and scale-up</li></ul>

Role Description: <ul><li>We are looking for a seasoned leader and data scientist with an extensive track record in designing, developing, and evaluating ML models which focus on optimization of marketing strategies and tactics, customer journey and perceptions within campaigns, and revenue impact.</li></ul> As the Principal Data Scientist - Measurement you: <ul><li>Are energized to work collaboratively with partners and stakeholders across the business to apply, innovate, and deploy machine learning algorithms and data science methods for new measurement</li><li>Will inform and empower Commercial and Medical stakeholders in marketing, finance, strategy teams, and the field to make data-driven decisions for patient benefit</li><li>Drive to optimize investments and activities so that our client can create ever-improving, integrated customer experiences across brands and channels</li><li>Deliver these benefits using robust and consistent methods that you have embedded in analytics products that can evolve and improve over time</li></ul> Responsibilities: <ul><li>Develop state of the art causal learning, deep learning, and predictive techniques to help the organization understand the performance of omnichannel campaigns and optimize spend.</li><li>Run regular A/B experiments and perform statistical analyses to measure the effects of these experiments.</li><li>Work with other data scientists, engineers and product partners to develop new machine learning approaches, and measurement strategies</li><li>Manage and guide data science and data engineering elements of AI/ML projects related to revenue prediction and optimization across commercial and marketing channels (TV, mail, email, web, social, mobile, digital, etc.)</li><li>Collaborate within cross-functional teams to develop efficient measurement use cases (such as revenue simulation (what-if scenarios)) and define goals and deliverables</li><li>Leverage forecasting and simulation-based modeling approaches to provide optimization recommendations of marketing and business plans.</li><li>Conduct advanced analysis on various marketing efforts to gauge performance, impact, and effectiveness against the desired results.</li><li>Drive the development, deployment and industrialization of enterprise level Measurement algorithms to make business impact from structured and unstructured data for our brands and the different therapeutic areas</li><li>Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects in relation to business impact measurement: revenue optimization, marketing mix, forecasting, campaign and tactic testing, etc.</li><li>Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value</li><li>Define and produce deliverables that identify opportunities to tracking and measurement plans that inform and inspire internal stakeholders and decision makers.</li></ul> Requirements: <ul><li>MS or PhD in relevant discipline: Data Science; Computer Science; Applied Mathematics, Statistics, Economics / Econometrics, Engineering or related field, preferably with a focus on Data Science and Machine Learning applications.&nbsp;&nbsp;</li><li>10+ years of relevant industry work experience (transferable skill set across multiple industries is a huge plus )</li><li>Significant (5+ years) experience in the application of machine learning to enterprise data extracted from sources such as social media, email, and finance, combined with a demonstrated ability to drive tangible results</li><li>Significant experience in most of the following quantitative fields: Machine Learning, Deep Learning, Reinforcement Learning, Mathematical Optimization, etc.</li><li>Demonstrated proficiency in leveraging open source libraries for Deep Learning models (open source frameworks like Tensorflow, Keras, and/or PyTorch)&nbsp;</li><li>Experience working with large, complex data using Hadoop or Spark or other big data platforms&nbsp;</li><li>Proficiency with industry-standard programming languages such as R or Python</li><li>Experience with other data science and cloud-computing tools and platforms (AWS, GCP, etc.)</li><li>Strong knowledge of secondary data sources including syndicated sales, promotional &amp; marketing data, social media, engagement etc.</li><li>Experience with data visualization tools such as Tableau, and/or Qlik, and/or Data Studio, etc.</li><li>Proven track record of leadership, time-management, project management, and teamwork; Strong attention to detail&nbsp;</li><li>Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy</li><li>Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring.</li><li>Experience in designing and productionizing large-scale distributed systems built around machine learning models and big data.</li><li>Experience with growth (acquisition, engagement, retention) and modeling on marketing data (i.e. attribution, propensity to convert, customer journey mapping, lifetime value, incrementality) is a plus.</li></ul>

Responsibilities: <ul><li>Develop state of the art causal learning, deep learning, and predictive techniques to help the organization understand the performance of omnichannel campaigns and optimize spend.</li><li>Run regular A/B experiments and perform statistical analyses to measure the effects of these experiments.</li><li>Work with other data scientists, engineers, and product partners to develop new machine learning approaches, and measurement strategies.</li><li>Manage and guide data science and data engineering elements of AI/ML projects related to revenue prediction and optimization across commercial and marketing channels (TV, mail, email, web, social, mobile, digital, etc.).</li><li>Collaborate within cross-functional teams to develop efficient measurement use cases (such as revenue simulation (what-if scenarios)) and define goals and deliverables.</li><li>Leverage forecasting and simulation-based modeling approaches to provide optimization recommendations of marketing and business plans.</li><li>Conduct advanced analysis on various marketing efforts to gauge performance, impact, and effectiveness against the desired results.</li><li>Drive the development, deployment, and industrialization of enterprise-level Measurement algorithms to make business impact from structured and unstructured data for our brands and the different therapeutic areas.</li><li>Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects in relation to business impact measurement: revenue optimization, marketing mix, forecasting, campaign and tactic testing, etc.</li></ul> Requirements: <ul><li>We are looking for a seasoned leader and data scientist with an extensive track record in designing, developing, and evaluating ML models which focus on optimization of marketing strategies and tactics, customer journey and perceptions within campaigns, and revenue impact.&nbsp;</li><li>As a Data Science Senior Manager - Measurement, you: Are energized to work collaboratively with partners and stakeholders across the business to apply, innovate, and deploy machine learning algorithms and data science methods for new measurement.</li><li>Will inform and empower Commercial and Medical stakeholders in marketing, finance, strategy teams, and the field to make data-driven decisions for patient benefit.</li><li>Drive to optimize investments and activities so that our client can create ever-improving, integrated customer experiences across brands and channels.</li><li>Deliver these benefits using robust and consistent methods that you have embedded in analytics products that can evolve and improve over time.</li></ul>

Responsibilities:&nbsp;&nbsp;Assure technical support for the Sales team, Distributors &amp; Customers: <ul><li class="ql-align-justify">Generate data &amp; information to support the value and efficacy of ingredients for savory application.</li><li class="ql-align-justify">Conduct proper data analysis to draw meaningful information and conclusion from trials be communicated internally within and externally to customers.</li><li class="ql-align-justify">Train &amp; Support the Sales team, Distributors as well as participate in Key Customer projects.</li><li class="ql-align-justify">Represent and promote capabilities &amp; knowledge at international Conferences &amp; Seminars.</li></ul>&nbsp;Deliver new innovations to the APAC food market through Collaborating with Business Development, R&amp;D and Market insights:<ul><li class="ql-align-justify">Generate new ideas to develop new products &amp; propositions for the APAC market in terms of savory food application.</li><li class="ql-align-justify">Lead &amp; Participate in and/or Customer innovation projects in line with strategic direction &amp; capabilities.</li></ul>&nbsp;Administrative<ul><li class="ql-align-justify">Conduct proper housekeeping to ensure that the lab and kitchen is safe and hygienic at all times</li><li class="ql-align-justify">Manage the food lab, the raw materials/chemicals, the equipment &amp; procedures.</li><li class="ql-align-justify">Procurement of consumables and/or equipment to upgrade and ensure functionality of the lab</li><li class="ql-align-justify">Assure that all application trials are registered, reported, scientifically sound and used by the Sales &amp; Business Teams to generate/maintain customers.</li><li class="ql-align-justify">Generate meaningful reports, presentation slides and other materials to effectively communicate findings and results internally within and externally to customers.</li></ul>&nbsp;&nbsp;Requirements:&nbsp;<ul><li class="ql-align-justify">BSc/MSc degree or equivalent in Food Science, Food Microbiology and/or Food Technology.</li><li class="ql-align-justify">At least 5 years of relevant experience in the Asian food (ingredients) industry with relevant experience in savory food applications (e.g&nbsp;sauces, chilled prepared foods, fresh noodles, etc.).</li><li class="ql-align-justify">Hands-on mentality: you enjoy working with the team in the application lab for 50-60% of the time.</li><li class="ql-align-justify">Result oriented, technically skilled with a creative mindset to overcome application challenges.</li><li class="ql-align-justify">Strong technical writing and reporting skills.</li><li class="ql-align-justify">Commercially driven with creativity, passion, and performance orientation;</li><li class="ql-align-justify">A sensitive &amp; flexible team-player.</li><li class="ql-align-justify">Self-confident and self-managing, pro-active and taking initiative.</li><li class="ql-align-justify">Good communication skills: listening, understanding and presenting to both technical and commercial audiences;</li><li class="ql-align-justify">Fluent in English and Mandarin. Other APAC languages are considered a benefit.</li><li class="ql-align-justify">You reside in Singapore.</li><li class="ql-align-justify">Willing to travel up to 10-15%, mostly in the APAC region</li></ul>

Responsibilities: <ul><li>Collaborate and work closely with stakeholders to identify opportunities for leveraging data to drive business outcomes.</li><li>Perform exploratory data analysis to answer business questions and inform business decisions.</li><li>Design and develop the end-to-end workflows to productionize machine learning models and be involved in the entire data science lifecycle, including the formulation of use cases, extraction of data, development and maintenance of models and tracking and communication of results.</li></ul> Requirements: <ul><li>Degree in Computer Science, Machine Learning, Business Analytics, or similar quantitative discipline.</li><li>Fluency in one or more programming languages, such as Python, SQL and SAS.</li><li>3+ years of relevant experience in working with large and complex data sets and developing machines learning solutions, preferably on an enterprise data science platform such as CDSW.</li><li>Good foundational knowledge in statistical and advanced analytics concepts such as hypothesis testing, A/B testing, sampling, and evaluation metrics.</li><li>Familiarity with one or more BI and dashboarding tool such as Qlik, Power BI or Tableau.</li><li>Experience with deep learning frameworks such as TensorFlow / PyTorch and big data technologies such as Hadoop / Spark is an advantage.</li><li>Excellent data visualization and communication skills to present findings and insights to different stakeholders, including non-technical business users.</li><li>Proactive team player and curious about data.</li></ul>

Responsibilities:<ul><li>Serve as the primary source of data insights supporting internal and external constituencies</li><li>Analyse and translate data findings into meaningful, actionable insights – including synthesizing relevant insights from different customer touchpoints and data sources.</li><li>Lead, design, and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation, and advertising optimization that improve business performance and customer engagement.</li><li>Institute and adopt best practices in data science, platforms, and approaches.</li><li>Establish internal organizational standards and benchmarks.</li><li>Work with other teams to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.</li><li>Become an internal authority on data tools and resources</li><li>Support ad-hoc business intelligence and other strategic initiatives</li></ul>&nbsp;Requirements<ul><li>PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science, or related field.</li><li>Minimum 5 years of hands-on experience in data science, including developing and production rising data science models</li><li>Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.</li><li>Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).</li><li>Must possess the exceptional business judgment to identify core business objectives; synthesize and interpret disparate quantitative information, and develop commercial insights for key stakeholders</li></ul>

Role Description: <ul><li>The North America Consumer Bank Next Gen Analytics team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank.</li><li>The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning, and machine learning algorithms to build predictive models, implement solutions and design go-to-market strategies for a huge variety of business problems</li></ul> Responsibilities: <ul><li>Create best in class solutions – Design and implement stable best in class solutions using the recommended tools. Prove and improve the performance of the solution.</li><li>Communication skills – Ability to extract and understand business need from partners.</li><li>Translate and articulate technical design and performance to a senior business audience</li><li>Strategic acumen – Should possess ability to see the big picture of business, identify and understand emerging trends, challenge status quo and design goals for growth</li><li>Modeling and Tech Savvy – As an SME, stay current with the latest use cases of modeling community, machine learning algorithms, deep learning algorithms, public data sets and share knowledge within the larger team.</li><li>Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling.</li></ul> Requirements: <ul><li>Masters with 6+ years of professional experience in fields that include but not exhaustive – Computer Science, Machine Learning, Operations Research, Econometrics, Statistics or in a highly quantitative field</li><li>Hands-on experience in applied machine learning and Big Data. Good knowledge of scripting languages e.g., Python and libraries e.g., Keras, DEAP, NLTK, BERT, TensorFlow, CausalML, XGB, SKLEARN etc.</li><li>Strong expertise in deep learning &amp; machine learning algorithms, data analysis, pattern recognition.</li><li>Structured thought process to identify, clearly articulate and solve complex problems and present them to the management in a structured and simpler form</li><li>Excellent documentation skills (design documents, methods, internal wiki).</li></ul>

Responsibilities:&nbsp; <ul><li>Design, develop AWS IoT/Cloud-based applications using Typescript, Node.Js</li><li>Work closely with onsite, offshore, and cross functional teams, Product Management, frontend developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery&nbsp;</li><li>Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program</li><li>Keep an eye on NFR’s and ensure our product is meeting all required compliances as per our client standards.&nbsp;</li></ul> Requirements: Experience and Skills Required:&nbsp; <ul><li>4-6 years of overall experience in Software domain</li><li>At least 3 years of experience in Cloud native applications</li><li>Solid working knowledge of Typescript, NodeJS</li><li>Thorough working knowledge in AWS, Lambdas, Microservices etc.,</li><li>Experience in executing CI/CD processes</li><li>Experience in developing APIs [Rest, GraphQL].</li><li>Knowledge of (AWS IoT Core) and In-depth knowledge of AWS cloud native services including Kinesis, DynamoDB, Lambda, API Gateway, Timestream</li><li>Assertive communication and team skills</li><li>This individual be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and an ability to work on multiple projects and function in a team environment.</li></ul> Qualifications: <ul><li>B.E/B.Tech/MCA/M.Tech qualification</li><li>AWS Certified preferred, but not mandatory</li></ul>

Roles &amp; Responsibilities:&nbsp; <ul><li>Collaboratively works with the team to develop an overall territory account plan to maximize opportunities and generate sales activity with customers, partners, and publishers.&nbsp;</li><li>Must identify, prospects and new customers through strategic partners in an assigned geographic territory&nbsp;</li><li>Leads negotiations, coordinates complex decision-making process, and overcomes objections to capture new business opportunities&nbsp;</li><li>Develops and utilizes marketing related events, seminars, mailings, and call campaigns to increase brand awareness and presence in the local market&nbsp;</li><li>Provides training to customers regarding software publisher contracts and optimal usage of agreements post-mortem. Facilitates all communications, order processing, and reporting of customer transactions in territory&nbsp;</li><li>Evaluates software contract spend and utilization in each organization. Must be able to optimize spending patterns, technology usage, and implementation strategies. High level of knowledge of internal organization workings, Information Technology trends.&nbsp;</li><li>Be the field resource to customers and partners for leading industry volume license offerings from top publishers.&nbsp;</li><li>Submits accurate and timely forecasts that are aligned with assigned sales quotas. Forecast sales revenue on a monthly, quarterly, and annual basis.&nbsp;</li><li>Provides leadership and licensing knowledge to customers, maintains appropriate presence in the software industry community.&nbsp;</li><li>Generates opportunities for meetings with key decision makers to drive sales process.&nbsp;</li><li>Reach to the revenue goals of Strategic Solutions and align SWO strategically and formally with the assigned accounts.&nbsp;</li><li>Must have a technical understanding of the cloud solutions and should be able to pitch the same to the customers&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s Degree&nbsp;</li><li>Professional sales experience in high-tech or service-related industry with preferred successful software and solution sales experience. Software licensing experience is an advantage.&nbsp;</li><li>Proven track record of consistently exceeding corporate objectives and quotas&nbsp;</li><li>Ability to build relationships and quickly develop trust with C-level executives&nbsp;</li><li>Highly motivated and results oriented&nbsp;</li><li>Strong presentation, communication, organization, multitasking, time management skills&nbsp;</li><li>Solid problem solving and consultative skills required&nbsp;</li><li>Ability to work in a fast-paced team sales environment with minimum supervision&nbsp;</li><li>Travel 70%&nbsp;</li><li>Proficient with Outlook, Word, Excel, and PowerPoint.&nbsp;</li><li>Sales certification exams passed such as MCP, VSP, and SAM preferred.&nbsp;</li></ul>

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384 scientist bioprocess development Jobs found